diff --git a/.github/workflows/ruff.yml b/.github/workflows/ruff.yml new file mode 100644 index 00000000..5f5dcf1d --- /dev/null +++ b/.github/workflows/ruff.yml @@ -0,0 +1,22 @@ +name: Ruff linter + +on: + pull_request: + push: + branches: + - main + +jobs: + ruff: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - uses: actions/setup-python@v4 + with: + python-version: 3.11.5 + + - uses: chartboost/ruff-action@v1 + with: + version: 0.5.4 + args: check --output-format github diff --git a/.gitignore b/.gitignore index 49ec5878..45c6cc49 100644 --- a/.gitignore +++ b/.gitignore @@ -13,4 +13,8 @@ assets/ycbineoat/* **/**.json **/**.npy **/**.txt +!src/b3d/renderer/**/**.txt assets/kitti/* +**/**.pth +**/**.obj +**/**.r3d diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 48de8da3..914dc56e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,3 +1,6 @@ +ci: + skip: [ruff] + repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.6.0 @@ -8,8 +11,11 @@ repos: - id: trailing-whitespace - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.5.2 + rev: v0.5.5 hooks: + - id: ruff + types_or: [ python, pyi ] + args: [ --fix ] + - id: ruff-format - args: [ --exclude, kitti.ipynb ] - types_or: [ python, pyi, jupyter ] + types_or: [ python, pyi ] diff --git a/README.md b/README.md index 43bf434b..ee4d1f52 100644 --- a/README.md +++ b/README.md @@ -54,7 +54,7 @@ export XLA_PYTHON_CLIENT_ALLOCATOR="platform" - Check if you can access the [GenJAX Users Group](https://groups.google.com/u/1/a/chi-fro.org/g/genjax-users), and if not, run `\invite-genjax ` in any channel in the the probcomp Slack - [Install the Google Cloud command line tools](https://cloud.google.com/sdk/docs/install). -- Run `gcloud auth application-default login`. (This command needs to be rerun ever time your machine reboots.) +- Run `gcloud auth application-default login`. (This command needs to be rerun every time your machine reboots.) Next, on the machine, close the `b3d` repo: diff --git a/b3d/chisight/__init__.py b/b3d/chisight/__init__.py deleted file mode 100644 index cd9d9583..00000000 --- a/b3d/chisight/__init__.py +++ /dev/null @@ -1,2 +0,0 @@ -from importlib import metadata -from . import particle_system, dense, sparse diff --git a/b3d/chisight/dense/likelihoods/image_likelihood.py b/b3d/chisight/dense/likelihoods/image_likelihood.py deleted file mode 100644 index e0a9c259..00000000 --- a/b3d/chisight/dense/likelihoods/image_likelihood.py +++ /dev/null @@ -1,25 +0,0 @@ -import genjax -from genjax.generative_functions.distributions import ExactDensity -import jax.numpy as jnp -import b3d -from b3d import Mesh, Pose -from collections import namedtuple -from b3d.modeling_utils import uniform_discrete, uniform_pose -import jax -import os - -from genjax import Pytree - - -def make_image_likelihood(intermediate_func): - @Pytree.dataclass - class ImageLikelihood(genjax.ExactDensity): - def sample(self, key, rendered_rgbd, likelihood_args): - return rendered_rgbd - - def logpdf(self, observed_rgbd, rendered_rgbd, likelihood_args): - results = intermediate_func(observed_rgbd, rendered_rgbd, likelihood_args) - return results["score"] - - image_likelihood = ImageLikelihood() - return image_likelihood diff --git a/b3d/renderer/torch/pose.py b/b3d/renderer/torch/pose.py deleted file mode 100644 index 0915b46b..00000000 --- a/b3d/renderer/torch/pose.py +++ /dev/null @@ -1,3 +0,0 @@ -import torch -import pytorch3d.transforms -import pytorch3d.renderer diff --git a/demo.py b/demo.py index 75dc1165..f8eb3019 100755 --- a/demo.py +++ b/demo.py @@ -1,18 +1,16 @@ #!/usr/bin/env python -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh + import b3d import b3d.bayes3d as bayes3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose +import fire import genjax +import jax +import jax.numpy as jnp +import numpy as np import rerun as rr +from b3d import Pose from tqdm import tqdm -import fire def test_demo(): @@ -53,11 +51,9 @@ def test_demo(): 1.0, ) - num_layers = 2048 renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far) model = bayes3d.model_multiobject_gl_factory(renderer) importance_jit = jax.jit(model.importance) - update_jit = jax.jit(model.update) # Arguments of the generative model. # These control the inlier / outlier decision boundary for color error and depth error. @@ -118,7 +114,7 @@ def test_demo(): # `make_mesh_from_point_cloud_and_resolution` takes a 3D positions, colors, and sizes of the boxes that we want # to place at each position and create a mesh - vertices, faces, vertex_colors, face_colors = ( + vertices, faces, vertex_colors, _face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( point_cloud, colors, @@ -167,7 +163,7 @@ def test_demo(): bayes3d.rerun_visualize_trace_t(trace, T_observed_image) # Outliers are AND of the RGB and Depth outlier masks - inliers, color_inliers, depth_inliers, outliers, undecided, valid_data_mask = ( + _inliers, _color_inliers, _depth_inliers, outliers, _undecided, _valid_data_mask = ( bayes3d.get_rgb_depth_inliers_from_trace(trace) ) outlier_mask = outliers @@ -186,7 +182,7 @@ def test_demo(): point_cloud_colors = point_cloud_colors.reshape(-1, 3)[assignment == 0] # Create new mesh. - vertices, faces, vertex_colors, face_colors = ( + vertices, faces, vertex_colors, _face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( point_cloud, point_cloud_colors, point_cloud[:, 2] / fx * 2.0 ) diff --git a/demos/detector_segmenter.py b/demos/detector_segmenter.py index 5ecd555b..13d73363 100644 --- a/demos/detector_segmenter.py +++ b/demos/detector_segmenter.py @@ -1,10 +1,23 @@ -import requests -from PIL import Image -import torch -import b3d +import io import os -from transformers import OwlViTProcessor, OwlViTForObjectDetection +import b3d +import jax +import jax.numpy as jnp +import numpy +import numpy as np +import rerun as rr +import torch +from PIL import Image +from transformers import ( + AutoModelForZeroShotObjectDetection, + AutoProcessor, + DetrFeatureExtractor, + DetrForSegmentation, + OwlViTForObjectDetection, + OwlViTProcessor, +) +from transformers.models.detr.feature_extraction_detr import rgb_to_id processor = OwlViTProcessor.from_pretrained("google/owlvit-base-patch32") model = OwlViTForObjectDetection.from_pretrained("google/owlvit-base-patch32") @@ -17,12 +30,10 @@ ) ) -import numpy as np image = Image.fromarray(np.array(video_input.rgb[0])) image.save("test.png") -from transformers import AutoProcessor, AutoModelForZeroShotObjectDetection model_id = "IDEA-Research/grounding-dino-base" @@ -45,34 +56,16 @@ ) -import rerun as rr - PORT = 8812 rr.init("real") rr.connect(addr=f"127.0.0.1:{PORT}") rr.log("image", rr.Image(np.array(image))) -import io -import requests -from PIL import Image -import torch -import numpy -import jax.numpy as jnp -import numpy as np -import jax -import rerun as rr - -from transformers import DetrFeatureExtractor, DetrForSegmentation -from transformers.models.detr.feature_extraction_detr import rgb_to_id - rr.init("segmentation") rr.connect("127.0.0.1:8812") -import os -import b3d - # Load date # path = os.path.join(b3d.get_root_path(), # "assets/shared_data_bucket/input_data/shout_on_desk.r3d.video_input.npz") diff --git a/demos/differentiable_renderer/dense_fitting/standalone_nishad_demo.py b/demos/differentiable_renderer/dense_fitting/standalone_nishad_demo.py index 88b09e56..6479009b 100644 --- a/demos/differentiable_renderer/dense_fitting/standalone_nishad_demo.py +++ b/demos/differentiable_renderer/dense_fitting/standalone_nishad_demo.py @@ -1,17 +1,14 @@ # Note: this uses a custom differentiable renderer defined inline in this script. -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np +import functools import os -import trimesh + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose +import jax +import jax.numpy as jnp +import numpy as np import rerun as rr -import functools -import genjax +from b3d import Pose rr.init("gradients") rr.connect("127.0.0.1:8812") @@ -156,7 +153,7 @@ def render(particle_centers, particle_widths, particle_colors): vertex_colors = vertex_colors.reshape(-1, 3) triangle_index_to_particle_index = triangle_index_to_particle_index.reshape(-1) - uvs, _, triangle_id_image, depth_image = renderer.rasterize( + _uvs, _, triangle_id_image, depth_image = renderer.rasterize( Pose.identity()[None, ...], vertices, faces, jnp.array([[0, len(faces)]]) ) @@ -221,7 +218,7 @@ def render(particle_centers, particle_widths, particle_colors): def loss_func(a, b, c, gt_rgb, gt_depth): - rgb, depth, _ = render(a, b, c) + _rgb, depth, _ = render(a, b, c) return jnp.mean(jnp.abs(depth - gt_depth)) diff --git a/demos/differentiable_renderer/gradient_based_pose_estimation.py b/demos/differentiable_renderer/gradient_based_pose_estimation.py index 391522bf..194985a4 100644 --- a/demos/differentiable_renderer/gradient_based_pose_estimation.py +++ b/demos/differentiable_renderer/gradient_based_pose_estimation.py @@ -1,24 +1,14 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh +from functools import partial + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import rerun as rr -import functools -import genjax -from tqdm import tqdm +import b3d.chisight.dense.differentiable_renderer as rendering import jax import jax.numpy as jnp import optax -import b3d.chisight.dense.differentiable_renderer as rendering -import b3d.likelihoods as likelihoods -from b3d.renderer_original import RendererOriginal -import demos.differentiable_renderer.utils as utils -from functools import partial +import rerun as rr +from b3d import Mesh, Pose +from tqdm import tqdm rr.init("gradients") rr.connect("127.0.0.1:8812") @@ -36,28 +26,6 @@ def map_fn(nested_dict): return map_fn -# Set up OpenGL renderer -image_width = 200 -image_height = 200 -fx = 150.0 -fy = 150.0 -cx = 100.0 -cy = 100.0 -near = 0.001 -far = 16.0 -renderer = RendererOriginal(image_width, image_height, fx, fy, cx, cy, near, far) - -WINDOW = 5 - -mesh_path = os.path.join( - b3d.get_root_path(), - "assets/shared_data_bucket/ycb_video_models/models/006_mustard_bottle/textured_simple.obj", -) -mesh = trimesh.load(mesh_path) -object_library = b3d.MeshLibrary.make_empty_library() -object_library.add_trimesh(mesh) - - def render_to_dist_params( renderer, vertices, @@ -83,7 +51,7 @@ def render_to_dist_params( The remaining weights are those assigned to some triangles in the scene. The attributes measured on those triangles are contained in `attributes`. """ - image = renderer.rasterize(vertices[None, ...], faces) + image = renderer.rasterize_many(vertices[None, ...], faces) triangle_id_image = image[0, ..., -1].astype(jnp.int32) triangle_intersected_padded = jnp.pad( @@ -159,36 +127,75 @@ def render_to_average_rgbd( hyperparams = rendering.DifferentiableRendererHyperparams(3, 5e-5, 0.25, -1) -def render(params): +def render(params, mesh_params): image = render_to_average_rgbd( renderer, b3d.Pose(params["position"], params["quaternion"]).apply( - object_library.vertices + mesh_params["vertices"] ), - object_library.faces, - object_library.attributes, + mesh_params["faces"], + mesh_params["vertex_attributes"], background_attribute=jnp.array([0.0, 0.0, 0.0, 0]), hyperparams=hyperparams, ) return image -render_jit = jax.jit(render) +WINDOW = 5 -vertices, faces = object_library.vertices, object_library.faces -image = renderer.rasterize(vertices[None, ...], faces) +ycb_dir = os.path.join(b3d.get_assets_path(), "bop/ycbv") + +# image_ids = [image] if image is not None else range(1, num_scenes, FRAME_RATE) +scene_id = 48 +print(f"Scene {scene_id}") +num_scenes = b3d.io.data_loader.get_ycbv_num_test_images(ycb_dir, scene_id) +image_ids = range(1, num_scenes + 1, 50) +all_data = b3d.io.get_ycbv_test_images(ycb_dir, scene_id, image_ids) + +meshes = [ + Mesh.from_obj_file( + os.path.join(ycb_dir, f'models/obj_{f"{id + 1}".rjust(6, "0")}.ply') + ).scale(0.001) + for id in all_data[0]["object_types"] +] + +height, width = all_data[0]["rgbd"].shape[:2] +fx, fy, cx, cy = all_data[0]["camera_intrinsics"] +scaling_factor = 0.3 +renderer = b3d.renderer.renderer_original.RendererOriginal( + width * scaling_factor, + height * scaling_factor, + fx * scaling_factor, + fy * scaling_factor, + cx * scaling_factor, + cy * scaling_factor, + 0.01, + 2.0, +) +IDX = 1 +mesh = meshes[IDX] + +render_jit = jax.jit(render) + +mesh_params = { + "vertices": mesh.vertices, + "faces": mesh.faces, + "vertex_attributes": mesh.vertex_attributes, +} gt_pose = Pose.from_position_and_target( jnp.array([0.3, 0.3, 0.0]), jnp.array([0.0, 0.0, 0.0]), ).inv() -gt_image = render_jit({"position": gt_pose.position, "quaternion": gt_pose.quaternion}) +gt_image = b3d.resize_image(all_data[0]["rgbd"], renderer.height, renderer.width) -def loss_func_rgbd(params, gt): - image = render(params) - return jnp.mean(jnp.abs(image[..., :3] - gt[..., :3])) +def loss_func_rgbd(params, mesh_params, gt): + image = render(params, mesh_params) + rendered_depth = image[..., 3] + rendered_areas = (rendered_depth / fx) * (rendered_depth / fy) + return jnp.mean(jnp.abs(image[..., :3] - gt[..., :3]) * rendered_areas[..., None]) # + jnp.mean(jnp.abs(image[...,3] - gt[...,3])) @@ -198,7 +205,7 @@ def loss_func_rgbd(params, gt): @partial(jax.jit, static_argnums=(1,)) def step(carry, tx): (params, gt_image, state) = carry - loss, (gradients,) = loss_func_rgbd_grad(params, gt_image) + _, (gradients,) = loss_func_rgbd_grad(params, mesh_params, gt_image) updates, state = tx.update(gradients, state, params) params = optax.apply_updates(params, updates) return ((params, gt_image, state), None) @@ -214,10 +221,7 @@ def step(carry, tx): label_fn, ) -pose = Pose.from_position_and_target( - jnp.array([0.6, 0.3, 0.6]), - jnp.array([0.0, 0.0, 0.0]), -).inv() +pose = all_data[0]["camera_pose"].inv() @ all_data[0]["object_poses"][IDX] params = { "position": pose.position, @@ -225,21 +229,20 @@ def step(carry, tx): } rr.log("image", rr.Image(gt_image[..., :3]), timeless=True) -rr.log("cloud", rr.Points3D(gt_pose.apply(object_library.vertices)), timeless=True) +rr.log("cloud", rr.Points3D(gt_pose.apply(mesh.vertices)), timeless=True) pbar = tqdm(range(200)) state = tx.init(params) -images = [render_jit(params)] +images = [render_jit(params, mesh_params)] for t in pbar: (params, gt_image, state), _ = step((params, gt_image, state), tx) rr.set_time_sequence("frame", t) - image = render_jit(params) + image = render_jit(params, mesh_params) + pbar.set_description(f"Loss: {loss_func_rgbd(params, mesh_params, gt_image)}") rr.log("image/reconstruction", rr.Image(image[..., :3])) rr.log( "cloud/reconstruction", rr.Points3D( - b3d.Pose(params["position"], params["quaternion"]).apply( - object_library.vertices - ) + b3d.Pose(params["position"], params["quaternion"]).apply(mesh.vertices) ), ) diff --git a/demos/differentiable_renderer/gradients_for_mug.py b/demos/differentiable_renderer/gradients_for_mug.py index 058b23e6..39901041 100644 --- a/demos/differentiable_renderer/gradients_for_mug.py +++ b/demos/differentiable_renderer/gradients_for_mug.py @@ -1,22 +1,15 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh +from functools import partial + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import rerun as rr -import functools -import genjax -from tqdm import tqdm +import b3d.chisight.dense.differentiable_renderer as rendering import jax import jax.numpy as jnp import optax -import b3d.chisight.dense.differentiable_renderer as rendering -import demos.differentiable_renderer.utils as utils -from functools import partial +import rerun as rr +import trimesh +from b3d import Pose +from tqdm import tqdm rr.init("gradients") rr.connect("127.0.0.1:8812") @@ -157,7 +150,6 @@ def update_params(tx, params, gt_image, state): } rr.log("image", rr.Image(gt_image[..., :3]), timeless=True) -rr.log("cloud", rr.Points3D(gt_pose.apply(object_library.vertices)), timeless=True) rr.log("loss2", rr.SeriesLine(name="loss2"), timeless=True) diff --git a/demos/differentiable_renderer/patch_tracking/demo_utils.py b/demos/differentiable_renderer/patch_tracking/demo_utils.py index 4a258296..81ed9d9a 100644 --- a/demos/differentiable_renderer/patch_tracking/demo_utils.py +++ b/demos/differentiable_renderer/patch_tracking/demo_utils.py @@ -1,10 +1,11 @@ -import jax.numpy as jnp -import jax import os -import trimesh + import b3d -from b3d import Pose import b3d.utils as utils +import jax +import jax.numpy as jnp +import trimesh +from b3d import Pose ### Utils ### @@ -66,6 +67,27 @@ def transform_from_axis_angle(axis, angle): vec_transform_axis_angle = jax.vmap(transform_from_axis_angle, (None, 0)) +def unproject_depth(depth, intrinsics): + """Unprojects a depth image into a point cloud. + + Args: + depth (jnp.ndarray): The depth image. Shape (H, W) + intrinsics (b.camera.Intrinsics): The camera intrinsics. + Returns: + jnp.ndarray: The point cloud. Shape (H, W, 3) + """ + mask = (depth < intrinsics.far) * (depth > intrinsics.near) + depth = depth * mask + intrinsics.far * (1.0 - mask) + y, x = jnp.mgrid[: depth.shape[0], : depth.shape[1]] + x = (x - intrinsics.cx) / intrinsics.fx + y = (y - intrinsics.cy) / intrinsics.fy + point_cloud_image = jnp.stack([x, y, jnp.ones_like(x)], axis=-1) * depth[:, :, None] + return point_cloud_image + + +unproject_depth_vec = jax.vmap(unproject_depth, (0, None)) + + ### Convenience wrapper for common code used in demos ### def get_renderer_boxdata_and_patch(): width = 100 @@ -105,7 +127,6 @@ def get_renderer_boxdata_and_patch(): ) observed_rgbds = jnp.concatenate([rgbs, depths[..., None]], axis=-1) xyzs_C = unproject_depth_vec(depths, renderer) - xyzs_W = X_WC.apply(xyzs_C) box_data = (observed_rgbds, rots) # Get patch @@ -121,14 +142,13 @@ def get_renderer_boxdata_and_patch(): (center_x - del_pix, center_y - del_pix, 0), (2 * del_pix, 2 * del_pix, 3), ).reshape(-1, 3) - patch_vertices_C, patch_faces, patch_vertex_colors, patch_face_colors = ( + patch_vertices_C, patch_faces, patch_vertex_colors, _patch_face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( patch_points_C, patch_rgbs, patch_points_C[:, 2] / fx ) ) X_CP = Pose.from_translation(patch_vertices_C.mean(0)) patch_vertices_P = X_CP.inv().apply(patch_vertices_C) - patch_vertices_W = X_WC.apply(patch_vertices_C) X_WP = X_WC @ X_CP patch_data = ((patch_vertices_P, patch_faces, patch_vertex_colors), X_WP) diff --git a/demos/differentiable_renderer/patch_tracking/model.py b/demos/differentiable_renderer/patch_tracking/model.py index 2f71d890..cb8db286 100644 --- a/demos/differentiable_renderer/patch_tracking/model.py +++ b/demos/differentiable_renderer/patch_tracking/model.py @@ -1,11 +1,11 @@ +import b3d +import b3d.chisight.dense.differentiable_renderer as rendering +import genjax import jax import jax.numpy as jnp -import genjax -import b3d.chisight.dense.differentiable_renderer as rendering -import b3d -from b3d import Pose -from b3d.modeling_utils import uniform_pose import rerun as rr +from b3d.modeling_utils import uniform_pose + import demos.differentiable_renderer.patch_tracking.demo_utils as utils @@ -29,7 +29,7 @@ def single_object_model_factory(renderer, likelihood, renderer_hyperparams): @genjax.static_gen_fn def model(vertices_O, faces, vertex_colors, likelihood_args): X_WO = uniform_pose(jnp.ones(3) * -10.0, jnp.ones(3) * 10.0) @ "pose" - X_WC = uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ f"camera_pose" + X_WC = uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ "camera_pose" vertices_W = X_WO.apply(vertices_O) vertices_C = X_WC.inv().apply(vertices_W) @@ -109,7 +109,7 @@ def model(vertices_O, faces, vertex_colors, likelihood_args): # where N = num objects N = vertices_O.shape[0] - X_WC = uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ f"camera_pose" + X_WC = uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ "camera_pose" Xs_WO = ( genjax.map_combinator(in_axes=(0, 0))(uniform_pose)( diff --git a/demos/differentiable_renderer/patch_tracking/multiple_patch_tracker_2.py b/demos/differentiable_renderer/patch_tracking/multiple_patch_tracker_2.py index 1fb2edb6..4c03bf37 100644 --- a/demos/differentiable_renderer/patch_tracking/multiple_patch_tracker_2.py +++ b/demos/differentiable_renderer/patch_tracking/multiple_patch_tracker_2.py @@ -1,9 +1,10 @@ import b3d -import rerun as rr -import numpy as np -from tqdm import tqdm import b3d.chisight.dense.patch_tracking as tracking +import numpy as np +import rerun as rr from b3d.chisight.dense.model import rr_log_uniformpose_meshes_to_image_model_trace +from tqdm import tqdm + import demos.differentiable_renderer.patch_tracking.demo_utils as du rr.init("multiple_patch_tracking_2") diff --git a/demos/differentiable_renderer/patch_tracking/multiple_patch_tracking.py b/demos/differentiable_renderer/patch_tracking/multiple_patch_tracking.py index 1d16b985..fc74137d 100644 --- a/demos/differentiable_renderer/patch_tracking/multiple_patch_tracking.py +++ b/demos/differentiable_renderer/patch_tracking/multiple_patch_tracking.py @@ -1,21 +1,22 @@ ### Preliminaries ### -import jax.numpy as jnp -import jax -from b3d import Pose +import os + import b3d -import rerun as rr +import b3d.chisight.dense.differentiable_renderer as r +import b3d.chisight.dense.likelihoods as l import genjax +import jax +import jax.numpy as jnp +import numpy as np +import optax +import rerun as rr +import trimesh +from b3d import Pose from tqdm import tqdm + import demos.differentiable_renderer.patch_tracking.demo_utils as du import demos.differentiable_renderer.patch_tracking.model as m -import b3d.chisight.dense.likelihoods as l -import b3d.chisight.dense.differentiable_renderer as r -import os -import trimesh -import matplotlib.pyplot as plt -import numpy as np -import optax rr.init("multiple_patch_tracking") rr.connect("127.0.0.1:8812") @@ -87,7 +88,7 @@ def get_patches(center): (center_x - del_pix, center_y - del_pix, 0), (2 * del_pix - 1, 2 * del_pix - 1, 3), ).reshape(-1, 3) - patch_vertices_C, patch_faces, patch_vertex_colors, patch_face_colors = ( + patch_vertices_C, patch_faces, patch_vertex_colors, _patch_face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( patch_points_C, patch_rgbs, patch_points_C[:, 2] / fx * 2.0 ) diff --git a/demos/differentiable_renderer/patch_tracking/single_patch_tracking_adam.py b/demos/differentiable_renderer/patch_tracking/single_patch_tracking_adam.py index 3b8a6dd8..9e716b88 100644 --- a/demos/differentiable_renderer/patch_tracking/single_patch_tracking_adam.py +++ b/demos/differentiable_renderer/patch_tracking/single_patch_tracking_adam.py @@ -1,19 +1,17 @@ ### Preliminaries ### -import jax.numpy as jnp +import b3d.chisight.dense.differentiable_renderer as r +import b3d.chisight.dense.likelihoods as l +import genjax import jax -from b3d import Pose +import jax.numpy as jnp +import optax import rerun as rr -import genjax +from b3d import Pose from tqdm import tqdm + import demos.differentiable_renderer.patch_tracking.demo_utils as du import demos.differentiable_renderer.patch_tracking.model as m -import b3d.chisight.dense.likelihoods as l -import b3d.chisight.dense.differentiable_renderer as r -import matplotlib.pyplot as plt -import numpy as np -import b3d -import optax rr.init("single_patch_tracking") rr.connect("127.0.0.1:8812") @@ -43,7 +41,7 @@ def generate_image(key): - trace, weight = model.importance( + trace, _weight = model.importance( key, genjax.choice_map({"pose": X_WP, "camera_pose": X_WC}), (patch_vertices_P, patch_faces, patch_vertex_colors, ()), @@ -54,8 +52,8 @@ def generate_image(key): images = jax.vmap(generate_image)(jax.random.split(key, 100)) for i, image in enumerate(images): rr.set_time_sequence("image_sample", i) - rr.log(f"/image_sample/rgb", rr.Image(image[:, :, :3])) - rr.log(f"/image_sample/depth", rr.DepthImage(image[:, :, 3])) + rr.log("/image_sample/rgb", rr.Image(image[:, :, :3])) + rr.log("/image_sample/depth", rr.DepthImage(image[:, :, 3])) ### Patch tracking ### diff --git a/demos/differentiable_renderer/patch_tracking/single_patch_tracking_mh.py b/demos/differentiable_renderer/patch_tracking/single_patch_tracking_mh.py index 92120270..2d2d81cd 100644 --- a/demos/differentiable_renderer/patch_tracking/single_patch_tracking_mh.py +++ b/demos/differentiable_renderer/patch_tracking/single_patch_tracking_mh.py @@ -1,19 +1,19 @@ ### Preliminaries ### -import jax.numpy as jnp +import time + +import b3d +import b3d.chisight.dense.differentiable_renderer as r +import b3d.chisight.dense.likelihoods as l +import genjax import jax -from b3d import Pose +import jax.numpy as jnp import rerun as rr -import genjax +from b3d import Pose from tqdm import tqdm + import demos.differentiable_renderer.patch_tracking.demo_utils as du import demos.differentiable_renderer.patch_tracking.model as m -import b3d.chisight.dense.likelihoods as l -import b3d.chisight.dense.differentiable_renderer as r -import matplotlib.pyplot as plt -import numpy as np -import b3d -import optax rr.init("single_patch_tracking-mh") rr.connect("127.0.0.1:8812") @@ -55,7 +55,7 @@ def generate_image(key): - trace, weight = model.importance( + trace, _weight = model.importance( key, genjax.choice_map({"pose": X_WP, "camera_pose": X_WC}), (patch_vertices_P, patch_faces, patch_vertex_colors, ()), @@ -66,8 +66,8 @@ def generate_image(key): images = jax.vmap(generate_image)(jax.random.split(key, 100)) for i, image in enumerate(images): rr.set_time_sequence("image_sample", i) - rr.log(f"/image_sample/rgb", rr.Image(image[:, :, :3])) - rr.log(f"/image_sample/depth", rr.DepthImage(image[:, :, 3])) + rr.log("/image_sample/rgb", rr.Image(image[:, :, :3])) + rr.log("/image_sample/depth", rr.DepthImage(image[:, :, 3])) ### Patch tracking ### @@ -300,8 +300,6 @@ def multiple_mh_for_100_steps(key, tr, pos_stds, rot_concs): return ret_st, metadata -import time - t = time.time() ((_, tr, _, _), metadata) = multiple_mh_for_100_steps( subkey, tr, [1e-3, 5e-4, 2e-4], [1e4, 4e5, 8e4] diff --git a/demos/differentiable_renderer/test_barycentric_interp.py b/demos/differentiable_renderer/test_barycentric_interp.py index 82754376..0f0e264e 100644 --- a/demos/differentiable_renderer/test_barycentric_interp.py +++ b/demos/differentiable_renderer/test_barycentric_interp.py @@ -1,19 +1,10 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np -import os -import trimesh import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import rerun as rr -import functools -import genjax - import b3d.chisight.dense.differentiable_renderer as rendering import b3d.chisight.dense.likelihoods as likelihoods -import demos.differentiable_renderer.utils as utils +import jax +import jax.numpy as jnp +import rerun as rr +from b3d import Pose # Set up OpenGL renderer image_width = 120 diff --git a/demos/differentiable_renderer/test_basic_gd.py b/demos/differentiable_renderer/test_basic_gd.py index b848c6fb..c1e1fa10 100644 --- a/demos/differentiable_renderer/test_basic_gd.py +++ b/demos/differentiable_renderer/test_basic_gd.py @@ -1,18 +1,13 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np -import os -import trimesh -import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import rerun as rr -import functools -import genjax +import time +import b3d import b3d.chisight.dense.differentiable_renderer as rendering import b3d.chisight.dense.likelihoods as likelihoods +import genjax +import jax +import jax.numpy as jnp +import rerun as rr + import demos.differentiable_renderer.utils as utils # Set up OpenGL renderer @@ -310,7 +305,6 @@ def do_inference(): do_inference() -import time start = time.time() do_inference() diff --git a/demos/differentiable_renderer/utils.py b/demos/differentiable_renderer/utils.py index 889c5c9e..70731d9d 100644 --- a/demos/differentiable_renderer/utils.py +++ b/demos/differentiable_renderer/utils.py @@ -1,14 +1,7 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np -import os -import trimesh import b3d -from jax.scipy.spatial.transform import Rotation as Rot +import jax +import jax.numpy as jnp from b3d import Pose -import rerun as rr -import functools def get_mesh_and_gt_render( @@ -27,7 +20,7 @@ def get_mesh_and_gt_render( faces = faces.reshape(-1, 3) colors = colors.reshape(-1, 3) triangle_to_particle_index = triangle_to_particle_index.reshape(-1) - _, _, triangle_id_image, depth_image = renderer.rasterize( + _, _, triangle_id_image, _depth_image = renderer.rasterize( Pose.identity()[None, ...], vertices, faces, jnp.array([[0, len(faces)]]) ) particle_intersected = triangle_to_particle_index[triangle_id_image - 1] * ( diff --git a/demos/fork_knife_smc_identity_pose.py b/demos/fork_knife_smc_identity_pose.py index 2c32eabe..65d88599 100644 --- a/demos/fork_knife_smc_identity_pose.py +++ b/demos/fork_knife_smc_identity_pose.py @@ -1,15 +1,14 @@ -import rerun as rr -import genjax import os -import numpy as np -import jax.numpy as jnp + +import b3d +import genjax import jax +import jax.numpy as jnp +import numpy as np +import rerun as rr +import trimesh from b3d import Pose -import b3d from tqdm import tqdm -import trimesh -import genjax -import matplotlib.pyplot as plt ### Choose experiment @@ -245,7 +244,7 @@ def gvmf_c2f(trace, key, params): else: params = jnp.array([params[0] * 0.5, params[1] * 2.0]) skips += 1 - print(f"shrinking") + print("shrinking") if skips > 5: print(f"skip {t}") break @@ -268,10 +267,14 @@ def gvmf_c2f(trace, key, params): axis=-1, ).reshape(-1, 3) -contact_parameters_to_pose_camspace = lambda cp: b3d.Pose( - jnp.array([cp[0], 0.0, cp[1]]), # fixed height (y) at 0 for table - b3d.Rot.from_rotvec(jnp.array([0.0, cp[2], 0.0])).as_quat(), -) + +def contact_parameters_to_pose_camspace(cp): + return b3d.Pose( + jnp.array([cp[0], 0.0, cp[1]]), + b3d.Rot.from_rotvec(jnp.array([0.0, cp[2], 0.0])).as_quat(), + ) + + cp_delta_poses = jax.vmap(contact_parameters_to_pose_camspace)(delta_cps) diff --git a/demos/graphics_edits_demo/demo_visualize.py b/demos/graphics_edits_demo/demo_visualize.py index 8ab174cf..ca0f5df8 100644 --- a/demos/graphics_edits_demo/demo_visualize.py +++ b/demos/graphics_edits_demo/demo_visualize.py @@ -1,18 +1,15 @@ #!/usr/bin/env python -import jax.numpy as jnp +import os +import pickle + +import b3d import jax -import matplotlib.pyplot as plt +import jax.numpy as jnp import numpy as np -import os +import rerun as rr import trimesh -import b3d -from jax.scipy.spatial.transform import Rotation as Rot from b3d import Pose -import genjax -import rerun as rr from tqdm import tqdm -import fire - rr.init("demo_visualize3") rr.connect("127.0.0.1:8812") @@ -28,8 +25,6 @@ video_input = b3d.VideoInput.load(path) -import pickle - data, object_library = pickle.load(open("demo_data.dat", "rb")) diff --git a/demos/graphics_edits_demo/vkm_demo.py b/demos/graphics_edits_demo/vkm_demo.py index 89600f1b..a8b8b8d4 100644 --- a/demos/graphics_edits_demo/vkm_demo.py +++ b/demos/graphics_edits_demo/vkm_demo.py @@ -1,10 +1,11 @@ -import jax.numpy as jnp import os + import b3d -import rerun as rr import jax -import argparse +import jax.numpy as jnp import numpy as np +import rerun as rr +import trimesh from b3d import Pose rr.init("vkm_demo2") @@ -452,8 +453,6 @@ def adjust_vertex_colors( ticker += 1 -import trimesh - mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/ycb_video_models/models/019_pitcher_base/textured.obj", @@ -721,13 +720,10 @@ def _pixel_coordinates_to_image(pixel_coords, image_height, image_width): return img -from jax.lax import cond - - def slerp(q1, q2, t): dot_product = jnp.dot(q1, q2) - q1 = cond(dot_product < 0.0, lambda q: -q, lambda q: q, q1) + q1 = jax.lax.cond(dot_product < 0.0, lambda q: -q, lambda q: q, q1) dot_product = jnp.abs(dot_product) theta = jnp.arccos(jnp.clip(dot_product, -1.0, 1.0)) @@ -741,7 +737,7 @@ def normal_case(_): w2 = jnp.sin(t * theta) / sin_theta return w1 * q1 + w2 * q2 - return cond(theta < 1e-6, small_angle_case, normal_case, operand=None) + return jax.lax.cond(theta < 1e-6, small_angle_case, normal_case, operand=None) def lerp(T1, T2, t): diff --git a/demos/mesh_fitting/demo.py b/demos/mesh_fitting/demo.py index 5306d7b9..afe8af1d 100644 --- a/demos/mesh_fitting/demo.py +++ b/demos/mesh_fitting/demo.py @@ -1,20 +1,20 @@ +import os + +import b3d +import genjax import jax import jax.numpy as jnp -import genjax -import b3d -import demos.mesh_fitting.tessellation as t -import b3d.utils as u -import os -import rerun as rr import optax +import rerun as rr from tqdm import tqdm import demos.mesh_fitting.model as m +import demos.mesh_fitting.tessellation as t ### Get initial mesh ### def get_initial_tesselation(video_input): - image_width, image_height, fx, fy, cx, cy, near, far = jnp.array( + _image_width, _image_height, fx, fy, cx, cy, near, far = jnp.array( video_input.camera_intrinsics_rgb ) fx, fy, cx, cy, near, far = ( @@ -185,7 +185,7 @@ def importance_from_vertices_colors(vertices, colors): def vertices_colors_to_score(vertices, colors): - trace, weight = importance_from_vertices_colors(vertices, colors) + _trace, weight = importance_from_vertices_colors(vertices, colors) return weight diff --git a/demos/mesh_fitting/demo_depth_init.py b/demos/mesh_fitting/demo_depth_init.py index 5d9d7f11..b3907273 100644 --- a/demos/mesh_fitting/demo_depth_init.py +++ b/demos/mesh_fitting/demo_depth_init.py @@ -1,13 +1,9 @@ -import jax -import jax.numpy as jnp -import genjax -import b3d -import b3d.chisight.dense.differentiable_renderer as differentiable_renderer -import demos.mesh_fitting.tessellation as t import os + +import b3d +import genjax +import jax import rerun as rr -import optax -from tqdm import tqdm import demos.mesh_fitting.model as m import demos.mesh_fitting.utils as u @@ -87,7 +83,7 @@ def importance_from_vertices_colors(vertices, colors): def vertices_colors_to_score(vertices, colors): - trace, weight = importance_from_vertices_colors(vertices, colors) + _trace, weight = importance_from_vertices_colors(vertices, colors) return weight diff --git a/demos/mesh_fitting/model.py b/demos/mesh_fitting/model.py index 733527bb..bad24cfc 100644 --- a/demos/mesh_fitting/model.py +++ b/demos/mesh_fitting/model.py @@ -1,13 +1,10 @@ +import b3d +import b3d.chisight.dense.differentiable_renderer as rendering +import genjax import jax import jax.numpy as jnp -import genjax -import b3d.chisight.dense.likelihoods as likelihoods -import b3d.chisight.dense.differentiable_renderer as rendering -import b3d -from b3d import Pose -from b3d.modeling_utils import uniform_pose import rerun as rr -import demos.differentiable_renderer.patch_tracking.demo_utils as utils +from b3d.modeling_utils import uniform_pose class UniformDiscrete(genjax.ExactDensity, genjax.JAXGenerativeFunction): diff --git a/demos/mesh_fitting/tessellation.py b/demos/mesh_fitting/tessellation.py index 8dc0e71e..c72fcc61 100644 --- a/demos/mesh_fitting/tessellation.py +++ b/demos/mesh_fitting/tessellation.py @@ -94,8 +94,6 @@ def is_point_in_triangle(points, tri): # Bounding box for the triangle min_x = jnp.floor(jnp.min(triangle[:, 0])).astype(int) min_y = jnp.floor(jnp.min(triangle[:, 1])).astype(int) - max_x = jnp.ceil(jnp.max(triangle[:, 0])).astype(int) - max_y = jnp.ceil(jnp.max(triangle[:, 1])).astype(int) # Generate all integer points within the bounding box x_coords = min_x + jnp.arange(0, max_step_x) diff --git a/demos/mesh_fitting/utils.py b/demos/mesh_fitting/utils.py index 5a694f03..1eacd42a 100644 --- a/demos/mesh_fitting/utils.py +++ b/demos/mesh_fitting/utils.py @@ -1,14 +1,8 @@ +import b3d import jax import jax.numpy as jnp -import genjax -import b3d -import b3d.chisight.dense.differentiable_renderer as differentiable_renderer + import demos.mesh_fitting.tessellation as t -import b3d.utils as u -import os -import rerun as rr -import optax -from tqdm import tqdm def initialize_mesh_using_depth(video_input): diff --git a/demos/posterior_datasets/identity_posterior_data_gen.py b/demos/posterior_datasets/identity_posterior_data_gen.py index 9194cfb1..bd0da975 100644 --- a/demos/posterior_datasets/identity_posterior_data_gen.py +++ b/demos/posterior_datasets/identity_posterior_data_gen.py @@ -1,10 +1,11 @@ +import os + import b3d +import jax +import jax.numpy as jnp import numpy as np +import rerun as rr import trimesh -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import os width = 200 height = 200 @@ -18,7 +19,6 @@ renderer = b3d.Renderer(int(width), int(height), fx, fy, cx, cy, near, far) ## rerun for mesh viz -import rerun as rr PORT = 8812 rr.init("fork-knife") @@ -65,14 +65,17 @@ #### NUM_IMAGES = 10 -contact_parameters_to_pose = lambda cp: b3d.Pose( - jnp.array([cp[0], 0.0, cp[1]]), # fixed height (y) at 0 for table - b3d.Rot.from_rotvec(jnp.array([0.0, cp[2], 0.0])).as_quat(), -) -get_scene_poses = lambda obj_cp: b3d.Pose.stack_poses( - [occluder_pose, contact_parameters_to_pose(obj_cp)] -) +def contact_parameters_to_pose(cp): + return b3d.Pose( + jnp.array([cp[0], 0.0, cp[1]]), + b3d.Rot.from_rotvec(jnp.array([0.0, cp[2], 0.0])).as_quat(), + ) + + +def get_scene_poses(obj_cp): + return b3d.Pose.stack_poses([occluder_pose, contact_parameters_to_pose(obj_cp)]) + w = 0.2 cps = jax.random.uniform( @@ -90,7 +93,7 @@ rr.log( - f"/3d/mesh/occ", + "/3d/mesh/occ", rr.Mesh3D( vertex_positions=scene_poses_in_camera[0][0].apply(object_library.vertices), triangle_indices=object_library.faces[ @@ -100,7 +103,7 @@ ), ) rr.log( - f"/3d/mesh/obj", + "/3d/mesh/obj", rr.Mesh3D( vertex_positions=scene_poses_in_camera[0][2].apply(object_library.vertices), triangle_indices=object_library.faces[ diff --git a/demos/posterior_datasets/pose_posterior_data_gen.py b/demos/posterior_datasets/pose_posterior_data_gen.py index a00e2b13..cf678469 100644 --- a/demos/posterior_datasets/pose_posterior_data_gen.py +++ b/demos/posterior_datasets/pose_posterior_data_gen.py @@ -1,9 +1,10 @@ +import os + import b3d -import trimesh -import jax.numpy as jnp import jax +import jax.numpy as jnp import rerun as rr -import os +import trimesh from b3d import Pose rr.init("demo") diff --git a/demos/sparse_model/cotracker.py b/demos/sparse_model/cotracker.py index 34c3d97f..cf5baeb6 100644 --- a/demos/sparse_model/cotracker.py +++ b/demos/sparse_model/cotracker.py @@ -1,9 +1,9 @@ -import torch +import argparse +import time + import b3d -import os import numpy as np -import time -import argparse +import torch parser = argparse.ArgumentParser("r3d_to_video_input") parser.add_argument("input", help=".r3d File", type=str) diff --git a/demos/sparse_model/sparse_model.py b/demos/sparse_model/sparse_model.py index 53367651..836870c2 100644 --- a/demos/sparse_model/sparse_model.py +++ b/demos/sparse_model/sparse_model.py @@ -1,10 +1,12 @@ -import jax.numpy as jnp -import jax -import trimesh -import rerun as rr +import os +from functools import partial + import b3d +import jax +import jax.numpy as jnp import optax -from functools import partial +import rerun as rr +import trimesh from tqdm import tqdm @@ -29,7 +31,6 @@ def map_fn(nested_dict): box_mesh = trimesh.creation.box(jnp.ones(3)) object_vertices = jnp.array(box_mesh.vertices) -import os mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" diff --git a/demos/sparse_model/sparse_model_cotracker.py b/demos/sparse_model/sparse_model_cotracker.py index c66d09d8..bb691512 100644 --- a/demos/sparse_model/sparse_model_cotracker.py +++ b/demos/sparse_model/sparse_model_cotracker.py @@ -1,13 +1,14 @@ -import jax.numpy as jnp -import jax -import trimesh -import rerun as rr -import b3d -import optax import os from functools import partial -from tqdm import tqdm + +import b3d +import jax +import jax.numpy as jnp import numpy as np +import optax +import rerun as rr +from matplotlib import colormaps +from tqdm import tqdm def map_nested_fn(fn): @@ -111,7 +112,7 @@ def _model(params, cluster_assignments, fx, fy, cx, cy): object_positions = params["object_positions"] object_quaternions = params["object_quaternions"] - num_timesteps, num_clusters, _ = object_positions.shape + num_timesteps, _num_clusters, _ = object_positions.shape object_positions_expanded = jnp.concatenate( [jnp.zeros((num_timesteps, 1, 3)), object_positions], axis=1 @@ -173,7 +174,7 @@ def update_params(tx, t, params, cluster_assignments, gt_image, state): def viz_params(params, start_t, end_t): - num_timesteps, num_clusters = params["object_positions"].shape[:2] + _num_timesteps, num_clusters = params["object_positions"].shape[:2] num_keypoints = params["xyz"].shape[0] _, xyz_in_world_frame_over_time = _model( params, cluster_assignments, fx, fy, cx, cy @@ -199,14 +200,14 @@ def viz_params(params, start_t, end_t): params["camera_positions"][t], params["camera_quaternions"][t] ) rr.log( - f"/camera", + "/camera", rr.Transform3D( translation=camera_pose.position, rotation=rr.Quaternion(xyzw=camera_pose.xyzw), ), ) rr.log( - f"/camera", + "/camera", rr.Pinhole( resolution=[0.1, 0.1], focal_length=0.1, @@ -228,10 +229,6 @@ def viz_params(params, start_t, end_t): # rr.log("rgb", rr.Image(rgbs[t] / 255.0)) -import matplotlib.pyplot as plt -from matplotlib import colormaps - - colors = colormaps["rainbow"](jnp.linspace(0, 1, len(gt_pixel_coordinates[0]))) # for t in range(len(pred_tracks)): # rr.set_time_sequence("frame", t) @@ -290,6 +287,8 @@ def viz_params(params, start_t, end_t): END_T = len(gt_pixel_coordinates) pbar = tqdm(range(3000)) +params_over_time = [] + for t in pbar: params, state, loss = update_params( tx, @@ -320,7 +319,7 @@ def viz_params(params, start_t, end_t): viz_params(params, 0, END_T) -INITIAL_T = END +INITIAL_T = END_T pbar = tqdm(range(3000)) for t in pbar: params, state, loss = update_params( @@ -354,6 +353,7 @@ def viz_params(params, start_t, end_t): END_T = len(gt_pixel_coordinates) +SECOND_T = END_T params_over_time = [params] pbar = tqdm(range(2000)) @@ -382,8 +382,6 @@ def viz_params(params, start_t, end_t): ), ) -print(loss_function(SECOND_T, params, cluster_assignments, gt_info)) - cluster_assignments = cluster_assignments.at[top_indices].set( cluster_assignments.max() + 1 ) diff --git a/demos/sparse_model/sparse_model_torch.py b/demos/sparse_model/sparse_model_torch.py index 6a0fc007..17f57ebd 100644 --- a/demos/sparse_model/sparse_model_torch.py +++ b/demos/sparse_model/sparse_model_torch.py @@ -1,13 +1,14 @@ +import os + +import b3d +import pytorch3d.transforms import rerun as rr -from functools import partial -from tqdm import tqdm import torch -import b3d import trimesh +from tqdm import tqdm device = torch.device("cuda" if torch.cuda.is_available() else "cpu") -import os mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" @@ -23,8 +24,6 @@ rr.init("demo") rr.connect("127.0.0.1:8812") -import pytorch3d.transforms - positions = torch.zeros((100, 3), requires_grad=True) quaternions = torch.ones((100, 4), requires_grad=True) diff --git a/demos/speed_comparisons/demo_splat.py b/demos/speed_comparisons/demo_splat.py index 71ba50ac..8d6e69e5 100644 --- a/demos/speed_comparisons/demo_splat.py +++ b/demos/speed_comparisons/demo_splat.py @@ -1,16 +1,13 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import genjax +import jax +import jax.numpy as jnp +import numpy as np import rerun as rr +from b3d import Pose +from diff_gaussian_rasterization import rasterize_with_depth from tqdm import tqdm -import fire rr.init("demo") rr.connect("127.0.0.1:8812") @@ -49,8 +46,6 @@ 1.0, ) -import diff_gaussian_rasterization as dgr -from diff_gaussian_rasterization import rasterize_with_depth point_cloud = jax.image.resize( xyzs[0], (xyzs[0].shape[0] // 2, xyzs[0].shape[1] // 2, 3), "linear" @@ -84,7 +79,9 @@ def render_rgb(point_cloud, colors, scale, camera_pose): def loss_fun(point_cloud, colors, scale, camera_pose, observed_image, observed_depth): - rendered_image, rendered_depth = render_rgb(point_cloud, colors, scale, camera_pose) + rendered_image, _rendered_depth = render_rgb( + point_cloud, colors, scale, camera_pose + ) return jnp.mean(jnp.abs((rendered_image - observed_image))) # # + jnp.mean( # jnp.abs((rendered_depth - observed_depth)) @@ -166,13 +163,8 @@ def loss_fun(point_cloud, colors, scale, camera_pose, observed_image, observed_d camera_pose = camera_pose - grad * 0.005 rr.log("/image", rr.Image(render_rgb_jit(camera_pose)[0])) - -rasterize(*x, 200, 200, 200.0, 200.0, 100.0, 100.0, 0.01, 10.0) - - # Take point cloud at frame 0 - num_layers = 2048 renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far) model = b3d.model_multiobject_gl_factory(renderer) diff --git a/demos/speed_comparisons/demo_torch.py b/demos/speed_comparisons/demo_torch.py index 5243d500..f0178ea9 100644 --- a/demos/speed_comparisons/demo_torch.py +++ b/demos/speed_comparisons/demo_torch.py @@ -1,16 +1,16 @@ #!/usr/bin/env python -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh +import time + import b3d -import rerun as rr -from tqdm import tqdm -import torch -import torchvision +import b3d.nvdiffrast_original.torch as dr import b3d.torch -import torch.jit as jit import b3d.torch.renderutils +import pytorch3d.transforms +import rerun as rr +import torch +import trimesh +from tqdm import tqdm device = torch.device("cuda" if torch.cuda.is_available() else "cpu") torch.set_default_device("cuda") @@ -32,7 +32,6 @@ width, height, fx, fy, cx, cy, near, far ) -import os mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" @@ -43,7 +42,6 @@ object_vertices = vertices - torch.mean(vertices, axis=0) vertex_colors = torch.tensor(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0 -import b3d.nvdiffrast_original.torch as dr glctx = dr.RasterizeGLContext() # if use_opengl else dr.RasterizeCudaContext() @@ -54,9 +52,6 @@ def from_translation(translations): return M -import pytorch3d.transforms - - def from_quaternion(quaternions): M = torch.eye(4).tile(*(*quaternions.shape[:-1], 1, 1)) M[..., :3, :3] = pytorch3d.transforms.quaternion_to_matrix(quaternions) @@ -137,7 +132,7 @@ def identity_quaternion(): images.append(color[0]) rr.set_time_sequence("frame", t) - rr.log(f"img", rr.Image(color.cpu().numpy()[0, ...])) + rr.log("img", rr.Image(color.cpu().numpy()[0, ...])) def update(pose_estimate, gt_image): @@ -155,7 +150,6 @@ def update(pose_estimate, gt_image): pose_estimate = torch.tensor(poses[0], requires_grad=True) -import time sum_total = 0.0 pose_estimates = [] @@ -174,4 +168,4 @@ def update(pose_estimate, gt_image): ) rast_out, _ = dr.rasterize(glctx, clip_space, faces, resolution=[height, width]) color, _ = dr.interpolate(vertex_colors, rast_out, faces) - rr.log(f"img/reconstruct", rr.Image(color.detach().cpu().numpy()[0, ...])) + rr.log("img/reconstruct", rr.Image(color.detach().cpu().numpy()[0, ...])) diff --git a/demos/speed_comparisons/demo_torch_vmap.py b/demos/speed_comparisons/demo_torch_vmap.py index f5c23bae..0232943b 100644 --- a/demos/speed_comparisons/demo_torch_vmap.py +++ b/demos/speed_comparisons/demo_torch_vmap.py @@ -1,6 +1,9 @@ #!/usr/bin/env python import os +import time +import b3d +import b3d.nvdiffrast_original.torch as dr import pytorch3d.transforms import rerun as rr import torch @@ -8,9 +11,6 @@ import trimesh from tqdm import tqdm -import b3d -import b3d.nvdiffrast_original.torch as dr - device = torch.device("cuda" if torch.cuda.is_available() else "cpu") rr.init("demo") rr.connect("127.0.0.1:8812") @@ -263,7 +263,6 @@ def update(pose_estimate, gt_image): pose_estimate = poses[0] -import time start = time.time() for t in tqdm(range(len(images))): diff --git a/demos/speed_comparisons/demo_tracking_jax.py b/demos/speed_comparisons/demo_tracking_jax.py index dd55cd4c..c862c138 100644 --- a/demos/speed_comparisons/demo_tracking_jax.py +++ b/demos/speed_comparisons/demo_tracking_jax.py @@ -1,14 +1,12 @@ import os import time +import b3d import jax import jax.numpy as jnp -from IPython import embed -from scipy.spatial.transform import Rotation as R - -import b3d import trimesh - +from b3d import Pose +from scipy.spatial.transform import Rotation as R height = 100 width = 100 @@ -33,8 +31,6 @@ print("Number of frames: ", poses.shape[0]) -import os - mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" ) @@ -50,7 +46,6 @@ ) print("observed_images.shape", observed_images.shape) -from b3d import Pose # Defines the enumeration schedule. key = jax.random.PRNGKey(0) diff --git a/demos/test_nvdiffrast_original.py b/demos/test_nvdiffrast_original.py index 333521e8..f7d8c2ad 100644 --- a/demos/test_nvdiffrast_original.py +++ b/demos/test_nvdiffrast_original.py @@ -1,10 +1,11 @@ -from b3d.renderer_original import RendererOriginal -import jax.numpy as jnp -import b3d import os -import trimesh import time + +import b3d import jax +import jax.numpy as jnp +import trimesh +from b3d.renderer_original import RendererOriginal width = 200 height = 100 diff --git a/demos/test_object_search.py b/demos/test_object_search.py index 8d372317..a807341f 100644 --- a/demos/test_object_search.py +++ b/demos/test_object_search.py @@ -1,17 +1,14 @@ #!/usr/bin/env python -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose import genjax +import jax +import jax.numpy as jnp +import numpy as np import rerun as rr +from b3d import Pose from tqdm import tqdm -import fire PORT = 8812 rr.init("mug sm2c inference") diff --git a/demos/test_panda.py b/demos/test_panda.py index 823fdda1..4d72bc16 100644 --- a/demos/test_panda.py +++ b/demos/test_panda.py @@ -1,10 +1,12 @@ -import b3d -import rerun as rr import os -import jax.numpy as jnp +import pickle + +import b3d +import genjax import jax +import jax.numpy as jnp +import rerun as rr import trimesh -import genjax from b3d import Pose from tqdm import tqdm @@ -12,7 +14,6 @@ rr.init("mug sm2c inference") rr.connect(addr=f"127.0.0.1:{PORT}") -import pickle # Load a pickle file path = os.path.join( @@ -154,7 +155,7 @@ else: params = jnp.array([params[0] * 0.5, params[1] * 2.0]) skips += 1 - print(f"shrinking") + print("shrinking") if skips > 5: print(f"skip {t}") break diff --git a/demos/test_renderer_fps.py b/demos/test_renderer_fps.py index 59ad7fa6..672f4ab4 100644 --- a/demos/test_renderer_fps.py +++ b/demos/test_renderer_fps.py @@ -1,18 +1,17 @@ -import argparse import os -import pathlib -import sys -import numpy as np -import torch -import imageio +import time + import b3d -from tqdm import tqdm -import jax.numpy as jnp import b3d.nvdiffrast_original.torch as dr -import time +import jax +import jax.numpy as jnp +import numpy as np +import rerun as rr +import torch +import trimesh +from b3d.renderer_original import Renderer as RendererOriginal device = torch.device("cuda" if torch.cuda.is_available() else "cpu") -import trimesh mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" @@ -55,7 +54,6 @@ glctx = dr.RasterizeGLContext() # if use_opengl else dr.RasterizeCudaContext() -import rerun as rr rr.init("demo") rr.connect("127.0.0.1:8812") @@ -90,10 +88,8 @@ ranges_jax = jnp.array([[0, len(faces_jax)]]) poses = b3d.Pose.from_translation(jnp.array([0.0, 0.0, 5.1]))[None, None, ...] -import jax print("JAX NVdiffrast Original") -from b3d.renderer_original import Renderer as RendererOriginal for resolution in resolutions: renderer = RendererOriginal( @@ -123,8 +119,6 @@ print(f"Resolution: {resolution}x{resolution}, FPS: {num_timestep/(end-start)}") -import jax - print("JAX") for resolution in resolutions: renderer = b3d.Renderer( @@ -153,7 +147,9 @@ print(f"Resolution: {resolution}x{resolution}, FPS: {num_timestep/(end-start)}") -convert_to_torch = lambda x: torch.utils.dlpack.from_dlpack(jax.dlpack.to_dlpack((x))) +def convert_to_torch(x): + return torch.utils.dlpack.from_dlpack(jax.dlpack.to_dlpack(x)) + print("JAX through torch DLPACK") for resolution in resolutions: diff --git a/demos/test_torch/test_pose.py b/demos/test_torch/test_pose.py index 98ce9855..577440f8 100644 --- a/demos/test_torch/test_pose.py +++ b/demos/test_torch/test_pose.py @@ -1,5 +1,5 @@ -from b3d.renderer.torch.pose import Pose import torch +from b3d.renderer.torch.pose import Pose def test_as_matrix(): @@ -16,5 +16,4 @@ def test_as_matrix_multi(): torch.set_default_device("cuda") position = torch.tensor([[0.0, 6.3, 0.5], [0.0, 6.3, 0.5]]) quaternion = torch.tensor([[1.0, 0.0, 0.0, 0.0], [1.0, 0.0, 0.0, 0.0]]) - pose = Pose(position, quaternion) - matrix = pose.as_matrix() + Pose(position, quaternion) diff --git a/demos/tracking_online_learning.py b/demos/tracking_online_learning.py index 9523bf27..2bde0719 100644 --- a/demos/tracking_online_learning.py +++ b/demos/tracking_online_learning.py @@ -1,11 +1,13 @@ -import rerun as rr -import genjax import os -import numpy as np -import jax.numpy as jnp +from functools import partial + +import b3d +import genjax import jax +import jax.numpy as jnp +import numpy as np +import rerun as rr from b3d import Pose -import b3d from tqdm import tqdm # Rerun setup @@ -147,7 +149,6 @@ all_deltas = Pose.stack_poses([translation_deltas, rotation_deltas]) # Enumerative proposal function -from functools import partial @partial(jax.jit, static_argnames=["addressses"]) @@ -243,14 +244,14 @@ def enumerative_proposal(trace, addressses, key, all_deltas): # ) # Outliers are AND of the RGB and Depth outlier masks - outler_mask = outliers - rr.log("outliers", rr.Image(jnp.tile((outler_mask * 1.0)[..., None], (1, 1, 3)))) + outlier_mask = outliers + rr.log("outliers", rr.Image(jnp.tile((outlier_mask * 1.0)[..., None], (1, 1, 3)))) # Get the point cloud corresponding to the outliers point_cloud = b3d.xyz_from_depth(trace["observed_rgb_depth"][1], fx, fy, cx, cy)[ - outler_mask + outlier_mask ] - point_cloud_colors = trace["observed_rgb_depth"][0][outler_mask] + point_cloud_colors = trace["observed_rgb_depth"][0][outlier_mask] # Segment the outlier cloud. assignment = b3d.segment_point_cloud(point_cloud) @@ -333,9 +334,10 @@ def enumerative_proposal(trace, addressses, key, all_deltas): )[0] b3d.rerun_visualize_trace_t(trace, t) rr.set_time_sequence("frame", t) - outler_mask = jnp.logical_and(rgb_outliers, depth_outliers) rgb_inliers, rgb_outliers = b3d.get_rgb_inlier_outlier_from_trace(trace) depth_inliers, depth_outliers = b3d.get_depth_inlier_outlier_from_trace(trace) - rr.log("outliers", rr.Image(jnp.tile((outler_mask * 1.0)[..., None], (1, 1, 3)))) + outlier_mask = jnp.logical_and(rgb_outliers, depth_outliers) + + rr.log("outliers", rr.Image(jnp.tile((outlier_mask * 1.0)[..., None], (1, 1, 3)))) diff --git a/notebooks/aug1demos/slam_color_room.ipynb b/notebooks/aug1demos/slam_color_room.ipynb new file mode 100644 index 00000000..e0295690 --- /dev/null +++ b/notebooks/aug1demos/slam_color_room.ipynb @@ -0,0 +1,1900 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d\n", + "import jax.numpy as jnp\n", + "import os\n", + "from b3d import Mesh, Pose\n", + "import jax\n", + "import genjax\n", + "from genjax import Pytree\n", + "import rerun as rr\n", + "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", + "import matplotlib.pyplot as plt\n", + "from functools import partial\n", + "import importlib\n", + "from ipywidgets import interact\n", + "import ipywidgets as widgets\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from genjax import SelectionBuilder as S\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init(\"slam\")\n", + "key = jax.random.PRNGKey(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "room_h, room_w = 1.0, 1.0\n", + "line_segments = jnp.array(\n", + " [\n", + " [0.0, 0.0, room_w, 0.0, 51/255., 51/255.0, 1.0],\n", + " [0.0, 0.0, 0, room_h, 0.0, 1.0, 153.0/255],\n", + " [room_w, 0.0, room_w, room_h, 179/255., 179/255., 0.0],\n", + " [0.0, room_h, room_w, room_h, 1.0, 51.0/255., 0.0,],\n", + " ]\n", + ")\n", + "\n", + "\n", + "\n", + "def line_segment_to_mesh(line_segment):\n", + " a, b, c, d, r1, g1, b1 = line_segment\n", + " vertices = jnp.array(\n", + " [\n", + " [a, world_height / 2, b],\n", + " [a, -world_height / 2, b],\n", + " [c, -world_height / 2, d],\n", + " [c, world_height / 2, d],\n", + " ]\n", + " )\n", + " faces = jnp.array(\n", + " [\n", + " [0, 1, 3],\n", + " [3, 1, 2],\n", + " ]\n", + " )\n", + " vertex_attributes = jnp.ones((len(vertices), 3)) * jnp.array([r1, g1, b1])\n", + " return Mesh(vertices, faces, vertex_attributes)\n", + "\n", + "\n", + "epsilon = 0.03\n", + "num_rooms = 1\n", + "line_segments = jnp.concatenate([\n", + " line_segments + jnp.array([(room_w + epsilon) * (i), 0.0, (room_w + epsilon) * (i), 0.0, 0.0, 0.0, 0.0])\n", + " for i in range(num_rooms)\n", + "])\n", + "world_height = 0.5\n", + "world_mesh = Mesh.squeeze_mesh(jax.vmap(line_segment_to_mesh)(line_segments))\n", + "world_mesh.rr_visualize(\"mesh\")\n", + "\n", + "def draw_world(ax):\n", + " from matplotlib.collections import LineCollection\n", + "\n", + " import matplotlib.pyplot as plt\n", + "\n", + " # Convert line_segments to a list of line coordinates\n", + " lines = [((seg[0], seg[1]), (seg[2], seg[3])) for seg in line_segments]\n", + " c = [(*l[4:], 1.0) for l in line_segments]\n", + "\n", + " # Create a LineCollection with the lines and colors\n", + " lc = LineCollection(lines, colors=c, linewidth=5)\n", + " # Add the LineCollection to the axes\n", + " ax.add_collection(lc)\n", + "\n", + " # Set the limits of the axes\n", + " ax.set_xlim(-0.2, 1.2)\n", + " ax.set_ylim(-0.2, 1.2)\n", + "\n", + " ax.set_aspect(\"equal\")\n", + " # Show the figure\n", + "\n", + "def draw_pose(ax, pose, color=(0.0, 0.0, 0.0, 1.0)):\n", + " r = 0.05\n", + " x,_,z = pose.pos\n", + " R = pose.as_matrix()[:3,:3][:,2]\n", + " ax.arrow(x,z, float(R[0]) * r, float(R[2]) * r, head_width=0.04, head_length=0.04, fc=color, ec=color, alpha=0.5)\n", + "\n", + "fig, ax = plt.subplots()\n", + "draw_world(ax)\n", + "draw_pose(ax, Pose.from_pos(jnp.array([0.5, 0.0, 0.5])), (1.0, 0.0, 0.0, 1.0))\n", + "# draw_pose(ax, jnp.array([0.2, 0.4, 0.1]), (0.0, 0.0, 0.0, 1.0))" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.reload(b3d.renderer.renderer_original)\n", + "renderer = b3d.renderer.renderer_original.RendererOriginal()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# kernel = b3d.chisight.dense.likelihoods.blur_likelihood.log_gaussian_kernel(\n", + "# b3d.chisight.dense.likelihoods.blur_likelihood.filter_size,\n", + "# 50.0\n", + "# )\n", + "# plt.matshow(jnp.exp(kernel) * kernel.size)\n", + "# plt.clim(0,2.0)\n", + "# plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d.chisight.dense.dense_model\n", + "b3d.reload(b3d.chisight.dense.dense_model)\n", + "b3d.reload(b3d.utils)\n", + "import b3d.chisight.dense.likelihoods.blur_likelihood_gaussian\n", + "b3d.reload(b3d.chisight.dense.likelihoods.blur_likelihood_gaussian)\n", + "intermediate_likelihood_func = b3d.chisight.dense.likelihoods.blur_likelihood_gaussian.blur_intermediate_likelihood_func\n", + "blur_intermediate_sample_func = b3d.chisight.dense.likelihoods.blur_likelihood_gaussian.blur_intermediate_sample_func\n", + "model, viz_trace, info_from_trace = (\n", + " b3d.chisight.dense.dense_model.make_dense_multiobject_model(\n", + " renderer, intermediate_likelihood_func, blur_intermediate_sample_func\n", + " )\n", + ")\n", + "importance_jit = jax.jit(model.importance)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "grid_point_to_pose = jax.jit(lambda x: Pose(\n", + " jnp.array([x[0], 0.0, x[1]]),\n", + " b3d.Rot.from_rotvec(jnp.array([0.0, x[2], 0.0])).as_quat()\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "758.6619\n" + ] + } + ], + "source": [ + "IDX = 4\n", + "k = 200\n", + "keys = jax.random.split(key, 2 * k)\n", + "rows = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[:k],\n", + " jnp.ones((k, renderer.height)))\n", + "cols = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[k:],\n", + " jnp.ones((k, renderer.width)))\n", + "\n", + "likelikood_args = {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + "}\n", + "\n", + "gt_camera_pose = grid_point_to_pose(jnp.array([0.81, 0.21, 0.1]))\n", + "rgbd = renderer.render_rgbd_from_mesh(world_mesh.transform(gt_camera_pose.inv()))\n", + "\n", + "latent_camera_pose = grid_point_to_pose(jnp.array([0.57, 0.21, 0.1]))\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"rgbd\": rgbd,\n", + " \"camera_pose\": latent_camera_pose,\n", + " \"object_pose_0\": Pose.identity(),\n", + " \"color_variance_0\": 0.2,\n", + " \"depth_variance_0\": 0.05,\n", + " \"outlier_probability_0\": 0.1,\n", + " \"blur\": 100.0,\n", + " }\n", + ")\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "trace = importance_jit(\n", + " key,\n", + " choicemap,\n", + " (\n", + " {\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [world_mesh],\n", + " \"likelihood_args\": likelikood_args,\n", + " },\n", + " ),\n", + ")[0]\n", + "\n", + "print(trace.get_score())\n", + "\n", + "\n", + "viz_trace(trace)\n", + "# viz_trace(importance_jit(\n", + "# key,\n", + "# trace.get_choices().filter( ~S[\"rgbd\"]),\n", + "# trace.get_args(),\n", + "# )[0])\n", + "info = info_from_trace(trace)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 1: Posterior on Blur given different latent hypotheses" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 200/200 [00:04<00:00, 43.95it/s] \n" + ] + } + ], + "source": [ + "traces_and_blur_samples = []\n", + "blur_extended_sweep = jnp.linspace(0.01, 50.0, 200)\n", + "for x_coorindate in tqdm(jnp.linspace(0.50, 1.0, 200)):\n", + " latent_camera_pose = grid_point_to_pose(jnp.array([x_coorindate, 0.21, 0.1]))\n", + " trace = b3d.update_choices(trace, Pytree.const((\"camera_pose\",)), latent_camera_pose)\n", + "\n", + " scores = b3d.enumerate_choices_get_scores(\n", + " trace,\n", + " Pytree.const((\"blur\",)), blur_extended_sweep,\n", + " )\n", + " samples = jax.random.categorical(key, scores, shape=(5000,))\n", + " traces_and_blur_samples.append((trace, blur_extended_sweep[samples]))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f8b4618e49564a7c8fc699a3edbe2603", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(IntSlider(value=1, continuous_update=False, description='t', max=199), Output()), _dom_c…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "def _make_viz(t, filename=None):\n", + " trace, blur_samples = traces_and_blur_samples[t]\n", + "\n", + " fig, axs = plt.subplots(1, 4, figsize=(20, 5))\n", + "\n", + " axs[0].imshow(trace.get_choices()[\"rgbd\"][...,:3])\n", + " axs[0].set_title('Observed Image', fontsize=20)\n", + " axs[0].axis('off')\n", + "\n", + " draw_world(axs[1])\n", + " draw_pose(axs[1], gt_camera_pose)\n", + " draw_pose(axs[1], trace.get_choices()[\"camera_pose\"],(1.0, 0.0, 0.0, 1.0))\n", + " axs[1].axis('off')\n", + " axs[1].set_title('Latent Hypothesis - Pose', fontsize=20)\n", + "\n", + " axs[2].imshow(trace.get_retval()[\"latent_rgbd\"][...,:3])\n", + " axs[2].set_title('Latent Hypothesis - Image', fontsize=20)\n", + " axs[2].axis('off')\n", + " \n", + " # Plot histogram for the third subplot\n", + " axs[3].hist(blur_samples, blur_extended_sweep)\n", + " axs[3].set_title('Posterior on Blur Parameter', fontsize=20)\n", + " axs[3].set_xlim(blur_extended_sweep.min(), blur_extended_sweep.max())\n", + "\n", + " # Adjust spacing between subplots\n", + " plt.tight_layout()\n", + " if filename is not None:\n", + " plt.savefig(filename)\n", + " return\n", + " plt.show()\n", + "\n", + "interact(_make_viz,\n", + " t = widgets.IntSlider(value=1, min=0, max=len(traces_and_blur_samples)-1, step=1, continuous_update=False),\n", + " filename = widgets.fixed(None)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[21], line 10\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;66;03m# Write files into the tmp directory\u001b[39;00m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m t \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(traces_and_blur_samples)):\n\u001b[0;32m---> 10\u001b[0m \u001b[43m_make_viz\u001b[49m\u001b[43m(\u001b[49m\u001b[43mt\u001b[49m\u001b[43m,\u001b[49m\u001b[43mos\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpath\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mjoin\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtmp_dir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;132;43;01m%07d\u001b[39;49;00m\u001b[38;5;124;43m.png\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m%\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mt\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m;\n\u001b[1;32m 12\u001b[0m subprocess\u001b[38;5;241m.\u001b[39mcall(\n\u001b[1;32m 13\u001b[0m [\n\u001b[1;32m 14\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mffmpeg\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 24\u001b[0m ]\n\u001b[1;32m 25\u001b[0m )\n", + "Cell \u001b[0;32mIn[20], line 21\u001b[0m, in \u001b[0;36m_make_viz\u001b[0;34m(t, filename)\u001b[0m\n\u001b[1;32m 18\u001b[0m axs[\u001b[38;5;241m2\u001b[39m]\u001b[38;5;241m.\u001b[39maxis(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124moff\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;66;03m# Plot histogram for the third subplot\u001b[39;00m\n\u001b[0;32m---> 21\u001b[0m \u001b[43maxs\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mhist\u001b[49m\u001b[43m(\u001b[49m\u001b[43mblur_samples\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mblur_extended_sweep\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 22\u001b[0m axs[\u001b[38;5;241m3\u001b[39m]\u001b[38;5;241m.\u001b[39mset_title(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPosterior on Blur Parameter\u001b[39m\u001b[38;5;124m'\u001b[39m, fontsize\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m20\u001b[39m)\n\u001b[1;32m 23\u001b[0m axs[\u001b[38;5;241m3\u001b[39m]\u001b[38;5;241m.\u001b[39mset_xlim(blur_extended_sweep\u001b[38;5;241m.\u001b[39mmin(), blur_extended_sweep\u001b[38;5;241m.\u001b[39mmax())\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/matplotlib/__init__.py:1465\u001b[0m, in \u001b[0;36m_preprocess_data..inner\u001b[0;34m(ax, data, *args, **kwargs)\u001b[0m\n\u001b[1;32m 1462\u001b[0m \u001b[38;5;129m@functools\u001b[39m\u001b[38;5;241m.\u001b[39mwraps(func)\n\u001b[1;32m 1463\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(ax, \u001b[38;5;241m*\u001b[39margs, data\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 1464\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1465\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[43max\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43msanitize_sequence\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1467\u001b[0m bound \u001b[38;5;241m=\u001b[39m new_sig\u001b[38;5;241m.\u001b[39mbind(ax, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[1;32m 1468\u001b[0m auto_label \u001b[38;5;241m=\u001b[39m (bound\u001b[38;5;241m.\u001b[39marguments\u001b[38;5;241m.\u001b[39mget(label_namer)\n\u001b[1;32m 1469\u001b[0m \u001b[38;5;129;01mor\u001b[39;00m bound\u001b[38;5;241m.\u001b[39mkwargs\u001b[38;5;241m.\u001b[39mget(label_namer))\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/matplotlib/axes/_axes.py:6775\u001b[0m, in \u001b[0;36mAxes.hist\u001b[0;34m(self, x, bins, range, density, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, stacked, **kwargs)\u001b[0m\n\u001b[1;32m 6772\u001b[0m stacked \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 6774\u001b[0m \u001b[38;5;66;03m# Massage 'x' for processing.\u001b[39;00m\n\u001b[0;32m-> 6775\u001b[0m x \u001b[38;5;241m=\u001b[39m \u001b[43mcbook\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_reshape_2D\u001b[49m\u001b[43m(\u001b[49m\u001b[43mx\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43mx\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 6776\u001b[0m nx \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(x) \u001b[38;5;66;03m# number of datasets\u001b[39;00m\n\u001b[1;32m 6778\u001b[0m \u001b[38;5;66;03m# Process unit information. _process_unit_info sets the unit and\u001b[39;00m\n\u001b[1;32m 6779\u001b[0m \u001b[38;5;66;03m# converts the first dataset; then we convert each following dataset\u001b[39;00m\n\u001b[1;32m 6780\u001b[0m \u001b[38;5;66;03m# one at a time.\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/matplotlib/cbook.py:1409\u001b[0m, in \u001b[0;36m_reshape_2D\u001b[0;34m(X, name)\u001b[0m\n\u001b[1;32m 1407\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1408\u001b[0m is_1d \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[0;32m-> 1409\u001b[0m xi \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43masanyarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mxi\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1410\u001b[0m nd \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mndim(xi)\n\u001b[1;32m 1411\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m nd \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/array.py:395\u001b[0m, in \u001b[0;36mArrayImpl.__array__\u001b[0;34m(self, dtype, context, copy)\u001b[0m\n\u001b[1;32m 392\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__array__\u001b[39m(\u001b[38;5;28mself\u001b[39m, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, context\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m):\n\u001b[1;32m 393\u001b[0m \u001b[38;5;66;03m# copy argument is supported by np.asarray starting in numpy 2.0\u001b[39;00m\n\u001b[1;32m 394\u001b[0m kwds \u001b[38;5;241m=\u001b[39m {} \u001b[38;5;28;01mif\u001b[39;00m copy \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m {\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcopy\u001b[39m\u001b[38;5;124m'\u001b[39m: copy}\n\u001b[0;32m--> 395\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m np\u001b[38;5;241m.\u001b[39masarray(\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_value\u001b[49m, dtype\u001b[38;5;241m=\u001b[39mdtype, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds)\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/profiler.py:335\u001b[0m, in \u001b[0;36mannotate_function..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 333\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 334\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m TraceAnnotation(name, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdecorator_kwargs):\n\u001b[0;32m--> 335\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 336\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wrapper\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/array.py:594\u001b[0m, in \u001b[0;36mArrayImpl._value\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 592\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_npy_value \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 593\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_fully_replicated:\n\u001b[0;32m--> 594\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_npy_value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_single_device_array_to_np_array\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m 595\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_npy_value\u001b[38;5;241m.\u001b[39mflags\u001b[38;5;241m.\u001b[39mwriteable \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 596\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m cast(np\u001b[38;5;241m.\u001b[39mndarray, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_npy_value)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + }, + { + "data": { + "image/png": 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9ZhTff3z55ZdG586dS0xfvM6Kx+vuU6FCBeOzzz5zuyzhPMYbRuD9Ub6cH7ja3krbl1S8fubMmeOybeNqG48VdGBb3MaNG80N8aqrrvJr2tOnTxvly5c3DyDO7Bt/48aNjSpVqhipqanGiy++aKxcudJYuXKlMWrUKIeTldmzZ5coY8iQIebwa6+91vjoo4+Mb7/91sjOzja+/PJL48UXXzQuuugi44Ybbigx7cmTJ41WrVoZUtHJ/x133GF89NFHxurVq41vvvnGGDVqlHmSXrVqVSMnJ6dEGfaDSLVq1Yw6deoYKSkpxpNPPmksXbrUWLNmjfH+++8bP//8s1FQUGBeNLzyyis91tvgwYPNmJwvAh44cMCoX7++eXB/8MEHjZkzZxpr1641lixZYgwfPtyoUKGCIclo1KiRyxsO1qxZY8THx5tlDBs2zFi+fLnx3XffGW+88YZRq1YtIyEhwdyxhaMD+8ILLzQkGe3btzemT59urFu3zpg/f77RtWtXc5wnn3zS+Ne//mVIMrp27Wp8+umnRnZ2tvHf//7XaNeunTnexIkTXc6rT58+RqNGjYwhQ4YYM2bMMFatWmWsXbvWmDVrlnH//febB50aNWoY+/btc1nGjBkzzPmkpaUZL730krm9vvTSS0bVqlWNqlWrGmeddZbH5X755ZfNclq2bGlMnDjRWLhwobFu3Trjww8/NNq3b28Of/311wOpegABKO2F8Q4dOhgtWrQwnnzySWP27NnGd999Z6xevdqYMWOGccstt5gn8meffbZx4sQJh2m3b99ubNy40TxW9OjRw9i4caPDZ/v27Q7TzJgxw7yhplGjRsa4ceOM+fPnG9nZ2cann35qXHPNNebyDB48uES8xRs7F110kbnfsu+HFy5caNx5553mOO3atXOY/tixY8bGjRuNF154wRxnwYIFJeI+duyYX/UYzAvjhmEYw4cPN6SiG+J+//13t2XMmTPHnO+nn37qNqY2bdoYcXFxxv33328sXLjQWLt2rfH++++b+35JxsMPP+xyHp9//rm5zlJSUowRI0YY33zzjbFq1SrjX//6l8ONcBMmTHCY1t9tpLTr166wsNDo1q2bOV737t2N//znP8a3335rrFq1ynj99deNBg0aGJKMxMREY+3atQ7Tnzx50oy5UqVKxmOPPWZ8+eWXRnZ2trFq1Spj+vTpxoMPPmjUrVvX7wvjvXv3NuO6/fbbjc8++8xYvXq1sXbtWmPu3LnGM888Y5x77rlRcWHcrlmzZuZ4O3fuNL+/6aabzO/PPfdc44MPPjDWrl1rLFiwwOjXr5+5XaWlpRm7du0qUe4FF1xgSDISEhKMf/zjH0ZWVpaxdu1a47vvvjM+/fRT49FHHzXOPPNMlx3YW7duNVJTUw1JRuXKlY3hw4cbs2fPNtatW2csWLDAGDhwoHlu2bZtWyM/P7/0FQa4wHGa4zTH6ZI4TgeHrx3YjRs3NqpWrWrUr1/fePPNN43vvvvO+Oabb4yHH37Y3HY6dOhgXndp2rSp8e9//9tYs2aNsWTJEofOhZtvvtnlvN577z2jatWqxl133WVMmjTJ+Oabb4z169cbn3/+ufHcc8+Z26HNZjMWLVrksoxff/3VvMAcHx9vDBo0yFi0aJGxdu1aY/LkyeaNBW3btvW43CtWrDBvvE9PTzdeeOEFIysry8jOzjaysrKM22+/3Zy+V69egVU+Yo6vx+uZM2ea4/Xv39/8/vvvvzev0SUkJBiDBw82lixZYqxZs8Z45513jMzMTHO6xx57rES5WVlZJa65LV261Pj++++NJUuWGG+99ZbRs2dPo06dOuY0+fn5xsaNG41JkyaZ006aNKnEfvyvv/4ypynt/tcwHI9fLVu2NBISEoxBgwYZX3/9tbFu3Trjo48+MlauXGmO763Ts7RthuIdZC1btjRsNptx5513GvPmzTOys7ON2bNnG1988YXbderK+PHjzTJr1KhhjB071li1apWxYsUK49lnnzX3VTabzZg3b16J6YN1vPSFrx3YS5YsMc8b3e3Lw92B3bJlS0OScfHFFzvUzb///W+P5Tvz9Txv4MCB5ngffPCBYRhFNxvGxcUZl19+ufHKK6+Y571Lly41Jk2a5HC9+84773RZbvH9h32ZrrvuOuOzzz4zsrOzjS+++ML4+OOPzfGffPJJo3bt2sY//vEP8/eXnZ1tzJkzx3jsscfMG7mSk5Pd3twQzmN8afqj/vrrL2Pjxo3GAw88YM7HeR+1ceNGh/Z4MPqS7PWTmZlppKSkGDVq1DDGjBljfPvtt8bq1auNN9980/jzzz/dbivRjg5si5s2bZr5gxg2bJjf0xfvWHS+86R4AyE1NdXlTmTTpk1mJ3bdunVLXBCz/wBddVAXd/DgwRLfPfHEE4Yko0qVKsa6detcTpeTk2PeEX7bbbeVGF78qd6UlBRjw4YNbmN45JFHzJ2Tu6dTind0u7ph4LbbbjMPWs4XSOzWr19vHvyfeOKJEsNbt25tngQuW7asxPBdu3YZ9erVM5crHB3YUtFT8s5PT58+fdrchipVqmQkJye7vNhw/Phx88DfsmVLl/Patm2bUVhY6DbW//3vf+ZB7amnniox/OTJk0Z6erohyahevbqxdevWEuNs2bLFfGOBu+X+8ccfzQbgiBEjXMZUUFBgNgRTUlKMQ4cOuY0bQPCU9sL4L7/84nH4119/bTZy3DUifG3E/Pnnn2aHUv/+/d0+SWQ/1sXFxRk///yzwzDnu8zvuecel/uku+++2xxn/fr1JYZ7a5j5q3iDydVFA1cf+7HT1TFr27ZtZmNj1KhRbud73XXXmY1q5/MN57t6p0+fXmL63Nxc8+avuLg4Y+PGjQ7D8/PzzThTUlJc3vVe/LyjQoUKLhsBvm4jwVq/7777rnne8OWXX7qc16FDh8yO1w4dOjgMW7RokVm+qwvfdqdOnTKOHDni8/KeOHHCPJ56u/Dt6jww3HzpwP7888/NcRo1auTy+yuuuMLIy8srMa19PUlFTxcW9+uvv5rD3D1hbRhFF+FcnXPYLxSdf/75bhumX375pbl/e/fdd93OAygNjtMcpzlOc5wOFV87sKWiC9z79+8vMc7QoUPNcWrUqGFcdNFFxvHjx0uMd+ONNxpSUceyq3J27drlcjq7w4cPmxf1O3bs6HKcnj17mrG4ehjk+PHj5oME7pY7Pz/ffBr06quvdhtT8XOQr776ym3cKDt8OV6fOnXK4ZqxvQPMMP7vydZy5coZCxYsKDHtoUOHzJsw4uLijE2bNjkMt3ciNWzY0OObAVzte4rH7u0mrdLufw3D8fgVFxfncnmL83SMKW2bwTBKPuHpb+ens/3795udY3Xq1HG4Qdeu+HVsV9f+g3W89EXx5X/hhRcczmV++OEHY9GiRcYzzzzj0Ffh6vqwc1nh6MCWijqFPV379oUvHdi7du0yqlSpYkhFNx7YO1kLCwvd1ofdM888Y07n6tzc+Q1Crq7RF7djxw6PN1D//vvvRt26dQ2p6GY6V8J5jA9Gf5Qvb0+xC0ZfUvH6qVOnjvHbb795nW8soQPb4l577TVzA3X1OmtvevToYU7/v//9z2FY8Y1/7Nixbst46aWXzPFmzpzpMMzeIPL3KdWjR4+aFxQ8XcgzDMOYMGGCeULifHd68Q7s5557zmM52dnZXuuy+KvGnV+dsmPHDqNcuXJeG5aGYRiPPfaYuVMpbs2aNWb5Dz74oNvpiz9pHI4O7AoVKrhttBa/+7F+/fpuD0r2A6Akv151X5z9FUPNmzcvMezjjz82y3/rrbfclvH66697XO7+/fsbkozWrVt7PKn466+/zFfXcSEYCI/SXhj3hf1i0rXXXutyuK+NmOeee85sMJ08edLteKdOnTJP1p1PRIs3dmrXru22nOKvdnN1vA3lhXF/P+6OWZdddpnZGHFl79695hOkrp6CKx6Tu3VnGIbx3XffmeMNHDjQYVjxY6v9FVuuFL958OWXXy4xPJAL44Gu38LCQvM1rN4uPn/xxRdmOcUboh9++KH5vasL3964W94//vjDLPe///2v3+WGm7sL4wUFBcZvv/1mjB071ry4I8l4++23zXHsb6RJSEhwedHHzv56tfj4eGP37t3m999++61Z7g8//OBX3MuXL3d7Lu/M/sTHRRdd5Nc8AF9xnOY4zXGa43So+NOB7a6javv27eY4NpvN7ZNeixcvLnXdFH8jwYEDBxyG/fHHH+a1I08Pe2zYsMHh9+nsgw8+MKSip9ZcXYQvzt4Z7upCO8oeT8frY8eOGUuXLjU6derkcGyw7wOL76fvv/9+t/NYsWKFOd4//vEPh2FXXnmlIblOZ+lP7J46sIOx/zUMx+NX8afQ3fF0jCltm8EwHM8ZLr/8cq/xeFP8mn7xp2adFX9bzCeffOIwLFjnQ77w9RXNSUlJxuOPP+7xNdHh7sCuUqWKkZub6+cSl+SuA7uwsNA4cOCAMWPGDIdX3d9yyy1+lX/69GnzTSKu+oOK/wbPOusst6lC/WHv36pcubLLa/HhOsYHqz/K1w7sYPQlGYZj/RS/2aisiBMs7ejRo+b/U1JS/J6++DS5ubkux7HZbOrbt6/bMvr16yebzSZJWrhwocOw2rVrS5JmzJihv//+2+e4li1bpiNHjkiSbrjhBo/jXnLJJZKkU6dOKTs72+14ffr08VhOq1at1KRJE0nS9OnTXY5j/758+fK6/vrrHYbNmzdPBQUFqlChgrp27epTzLt379bOnTvN74vXX79+/dxOf/3116tKlSoe5xFMV155pdLS0lwOO/fcc83/9+rVSwkJCV7H27Fjh9d5/vXXX/r111/1448/atOmTdq0aZO5zJs3b9apU6ccxrfXXVxcnMd1ffvtt5vbqytZWVmSpN69e3scr0qVKmrRooUkadWqVV6XB4D1/Pnnn9q6dau5j9m0aZNq1KghSfrhhx9KVfbcuXMlSddee62SkpLcjhcfH6/27dtL8rwvueGGG9yWc/bZZ5vH8+3btwcackTdfffdkqStW7dqxYoVJYZPmzZNp0+fliT179/fY1mejp8XXnihmjVrJqnkOYv9b5vN5nEeN954o1JTU12WEahA1+/mzZv166+/mmV4Yj/3kBy3Nfu5miRNnjzZv8A9qFatmhITEyVJ//nPf8z1Fw1sNpv5KVeunBo2bKihQ4ea57L33nuv7rvvPknS6dOntWzZMknSVVddpfr167st95577jGnWbp0qfl98XUwZcoUv2K172vOPvts87zEHfs2sHbt2qhaHyi7OE5bB8dpjtPRokqVKurSpYvLYZmZmapUqZIkqWXLlmratKnL8Ypfu/DlN3v8+HHl5OQ4XLsofl3EeX+1ZMkSFRQUSJLuuOMOt+Wee+65DrE4s+/HLr30UnPf6I59++LaBZyNHDnS4dw3JSVFnTp1Ms9Va9asqTlz5pj7wOL71QEDBrgtt0OHDuZvzN214uXLl5v7yGALxv7Xmbfryp4Eo80QzHjs7OumSpUq6tWrl9vx7OcBxadxxSrnQ3l5eZo6daomTZqkwsLCkM7LV927dzePQcFy2WWXmb/duLg4Va9eXTfffLNycnIkSW3atNHbb7/tdvrCwkLt3r1bW7ZsMY9fP/30k+rVqyfJ+/n2zTffrHLlyvkVc25urnbs2OFwzKxQoYLDMHdCfYwPRX+UJ8HoSyouMTFRN954Y0CxRDM6sC2u+I7v2LFjfk9ffJrKlSu7HCczM1PVq1d3W0aNGjWUkZEhSdq4caPDMHvH98qVK5WZmakHH3xQs2fP1p9//ukxrnXr1pn/r127tsPJlPOnefPm5rh79+51WV5KSooaNWrkcZ7S/x3816xZo23btjkMy8vL02effSZJuu6660ocdOwx//3334qPj/cY87XXXusyZnv9JSYmemyoJCQk6Pzzz/e6PMFy1llnuR1WvCPd1/GK33hR3MaNG9W/f3/Vrl1baWlpOvPMM9W8eXO1aNFCLVq00LPPPiup6AD7119/OUy7adMmSVKjRo08du6npaW53RZ+++03c9scPny4x3Vos9nMde5uuwNgPd9++61uvvlmVatWTTVr1tRZZ51l7mNatGih9957T5J04MCBgOdRUFCgDRs2SJLeeecdr/uSWbNmSfK8L7HfYOVO1apVJbnfv4bKkiVLZBS9scfjp2HDhh7L6dWrl7kMri7O2r9r06aNw3HflTZt2ngcfuGFF0qSfvnlF+Xn55vf248jmZmZHi8CJiYmmsdg+zSlFej6LX6+1L59e4/bWfGbFotvax07djSPiw8//LAuvPBCjR49Wt9++61D/fgrKSlJN998syRp1qxZOvPMM/XYY4/piy++0OHDhwMu1654h5bz5/jx46Uu31mFChV05ZVXau7cuXrnnXfM77dv3252bLdt29ZjGcWHF992MjMzdfHFF0uSXn31VTVr1kzPPPOMFi9e7PUGUPs2sGXLFq/7mgcffFBSUSP70KFDfiw9ED4cp4OL4zTHaXdi7Tht17hxY683okulv3Zx4MABPfHEEzr77LNVqVIlZWZmOly76Natm8O4xRXfLi+44AJPi6PWrVu7HWbfvhYsWOB1PzZ27FhJXLuA7zIzM/Xoo49q48aNOu+888zv7dtvYmKiw/eu2M99t27d6rC/uvPOOyVJBw8eVPPmzXXLLbdo8uTJJa7DlkYw9r/OWrZsGXA8wWgzBDMe5/JbtWrl9oEkSUpPTzev/XuKKZznQ5MnTy5xPnP06FGtWbNGd999t/bu3aunn35aN998syU6sYOxvnxRrlw5tWrVSq+//rq+/fZb86Y+O8MwNG3aNF122WVKSUlR3bp11aRJE4fzbft5srfzbV+X6bffftOgQYOUkZGh1NRUNWrUyOGYee+995rjeppnqI/xwe6P8iYYfUnFNW7cWMnJyQHFEs3owLa44h3LgfxY9u3bZ/6/WrVqLsepWbOm13LS09MlqcTFsKefflr9+/eXzWbT/v37NX78ePXq1Us1a9ZU8+bNNWLECIcY7Pbv3+/PYpjcXeTz9Wnl2267zfz/hx9+6DBs3rx5ZkPO1V1uwYjZXn9paWle72Cy13k42O+EciUuLs7v8ex3Gxf3/vvvq1WrVpo8ebJP2/KJEycc/rZ3aHu789jTOMHe7gBYy7PPPquOHTvqk08+8dp547yP8cehQ4cCeorF077E0/5V+r99rKv9azRITk7W7bffLkn65JNPHC5srlmzRj/++KMk7091Sd7PW+zHT8MwHG6Gsm8Tvpz31KpVy2Ga0gp0/QbjuJWQkKCsrCzzDuW1a9fqiSeeUMeOHVWlShVdffXVmj59ekDb1ltvvaXu3btLKmq0vvLKK+rWrZuqVaumNm3a6JVXXjHvcPZX8Qa282ft2rUBlWm3ceNG87N582b9/vvvys3N1VdffWUuj13xbcDbtmPfbpynk6SPPvrIfMpz8+bNev7553XFFVeoSpUquuSSS/T222/r5MmTJcrk3AWxhOO0dXGc5jjtr1Aepz3xdV2V5tpFdna2mjRpotGjR+uXX36RYRge5+nu2oXk/fqFp+GBbF+l2XciNj3wwAPmee+mTZu0bds2HT58WNu3b9fLL79cYp9b/LplfHy8x7Lt+2Ln/fkVV1yht956S+XLl9fJkyc1Y8YM9e/fX40bN1a9evV0//33l/pNK6E4R7Z3vgYiWG2GYMXjXH6wjq2RPh9KSUlRmzZt9N577+mJJ56QVHST1qRJk0IyP38EY305mzRpksPvd8eOHTp69Kiys7P1z3/+s8RNCSdPnlS3bt10xx13aOnSpV6PCd6G+7JMX375pc455xy99dZb+u2337yO72meoT7Gh7ttHez5hWIbiwaej0SIuOJ3unz//fd+TVtQUKD//e9/kopOiuvUqeNyPE93tniTkJCg999/X0OGDNFHH32kxYsXa926dcrPz9ePP/6oH3/8UePGjdO0adPUo0cPh9js1q9f7/EusOLsr7hw5uvrLBo1aqT27dtr1apVmj59ukaMGGEOs78+vFq1arr66qtLTGuPuXr16lqyZIlP85OK7mp0Vpo6j0Y///yz7r//fp0+fVo1a9bUo48+qssvv1wZGRmqVKmSuf4nTZpkvqLIWyMxEMW3u2eeecbn125UrFgx6LEACK5FixZp5MiRkor29UOHDlXHjh3VoEEDVaxY0Wx8P/PMM3r++edLNa/i+5K7775bDz30kE/T2V/jWFbdfffdevPNN3Xs2DHNmjXLfIuL/amu8uXL69Zbb/VaTmmPodF0DC6+rWVlZZl3xXvjfIHinHPO0caNG5WVlaWsrCwtX75c27Zt04kTJ7RgwQItWLBA48aN0xdffOHTxQ27ypUra+7cuVqzZo0++eQTLV26VBs2bFBBQYHWrVundevWaezYsZozZ47ZeWsF3p4edKc0207dunW1cuVKLVq0SJ999pmWLVtmpkz55ptv9M0332js2LH64osvHO4ot28D5557rqZNm+bX/AAr4ThtfRyn/cdxOvbk5+frpptu0sGDB5WQkKBBgwapR48eOuuss1S1alXz1bnbt2/XGWecISk01y6k/9u+unbtqpdffjkk80Dssz9g5K/S7osHDhyoG2+8UdOnT9fXX3+tb7/9VkeOHNEff/yhd955R++++66eeOIJvfDCCwGVH6z9b3H+virZnWAdx4IVjxRdx1ZfDRkyRGPGjFFhYaEmTZrk8Br0SAjm+rKzv/3DV6NGjdKXX34pqSj9xMCBA9WqVSvVqlVL5cuXNzt3L7nkEn3zzTdej1/elunAgQO67bbb9PfffyslJUVDhw5Vly5ddMYZZyg1NdU8t168eLGuuOIKSaE7Zvoi2P1Rvs4vGH1JUmi2sWhAB7bFNW/eXGlpaTp06JCWL1+uI0eOlHg1hDsLFy4079iwv7bQFVdPSLsbx12e5HPOOUfPP/+8nn/+eZ08eVIrVqzQ9OnT9cEHH+jYsWO69dZb9euvv5p5UIo/DV6jRo2AdwSB6NOnj1atWqVffvlF69atU+vWrZWbm6t58+ZJKsqp5WoHZo/56NGjatq0aUA7DfudMgcPHlRBQYHHMnxZL9FiypQpOn36tMqVK6dly5a5feWML3ceens9vadxim93CQkJAV/ABmA99leOVq1aVatXr3b7NEMwntQpfiw0DIN9iY9atmypNm3aaO3atZo8ebL69u2rkydP6uOPP5ZU9PpSX85x9u3b5zGnmP34abPZHO5Qta83X46v9jeFuDvvCZfix60qVaqUalsrV66cevbsqZ49e0qS9uzZo/nz52v8+PHKzs5Wdna27rvvPs2ePdvvsi+88ELzlbBHjx7V0qVLNWXKFH322Wfav3+/evfurV9//VXly5f3ucxINmyLK74NeNt2ir9hxt22c8UVV5iN94MHD2rhwoV69913tXjxYv3666+6+eabHW5atW8Dx44dY1+DqMZx2vo4TvuP43TsWbx4sZkzc8KECW47RHx9avLPP//0eFOZp+sb1apV0+7du5Wfn89+DGFj368ePHhQp0+f9vgUtn1f7Lw/t6tZs6YefvhhPfzwwyosLNSGDRs0e/ZsvfXWWzp8+LBGjRqlNm3aODzw5Ktg7n+DIdhthmBJS0vTnj17ourY6qu0tDTVqFFD+/btK5Hy1Bf2zlxvrx8PZVqMYDIMQ//+978lFfUDLV682OFp5OKC9QabWbNmmW+znT17tjp37hzS+ZVWuPujgtGXBF4hbnk2m83MHXLixAmz4e+LN9980/z/XXfd5Xa8HTt26ODBg26H//nnn8rJyZHk2xMrycnJ6ty5syZNmqRXXnlFUlHsn3/+uTlO8fzO3377rdcyg+mmm24yT8DsT11/+umn5msbXb0+XPq/mPPy8hxyJvijRYsWkoru6vX0upzTp0+b+Shigf2Vc+eee67HfCme6rVZs2aSiu50ds6PXdyhQ4fMBqezRo0amRddwr3dAQgt+37msssu8/gqPm/7b1/uTE5MTDT3SVbYl0TT3dT2i4DLly/X9u3b9dlnn5kNHl9eSyrJ62sp7cMbN27s8DSd/Rxmx44dHi8Wnjp1yuxAdHXeE876DuX5Uu3atdWvXz+tWrVKrVq1kiR9/vnnpX71ZKVKldS9e3d9+umn+uc//ymp6CL8ihUrSh1zJDRq1Mh8Rdl3333ncdw1a9aY//flnLlatWq6+eabtWjRIl133XWSpA0bNmjr1q3mOPZtYPv27eS1RFTjOB0dOE77h+N07LHvqySZOcRd8eXahVT0OnJPPJVj377sbzkEwsG+X83Pz/d6XdJ+7uu8P3clLi5OrVq10vPPP69FixaZ33/yyScO4/m6D4/kdWVXQtlmKA17+evXr/eYXmX//v3m658jfTOAP+zLFEjqmEqVKkmSx2vMkvTLL7/4H1gEHDp0yGwv3njjjW47r48dO6YtW7YEZZ72Y2ZaWprbzmvJ+/l9uARrv+Hvfqo0fUmgAzsqPPTQQ+ZrikaOHKlt27Z5nebjjz82nyhu3ry5QyJ4Z4Zh6IMPPnA7fMqUKebdtZ52Rq7YnzCRil4rYde5c2fzwP7GG2+E9e7dGjVq6KqrrpJUVE+FhYVmR3bDhg3VoUMHl9N1797d3EG99tprAc27eP1NnTrV7XizZ8/2egCNJvYTCU93re3Zs0dz5851O9y+LRVfX65MmzbN7fZUrlw5XXPNNZKkr776Sj/99JPX2AFEB1/2M99//73XxmRycrKkohNMT+ydTT///LMWLFjgT6hBZ49Z8h53pN16662qWLGiDMPQlClTzNeSZmZm6rLLLvOpDE/Hz7Vr12rTpk2SSp6z2P82DMOcryuzZs0y80G6Ou/xdRsJhlatWpl3Bb/77rsucySXVkJCgi699FJJRb8je0dFMLg7D4wm8fHxZv18/fXX2rVrl9tx7Xe8x8fHq1OnTn7Nx11d2fc1hmHo9ddf96tMwEo4ThfhOM1x2l8cp8OreCeIu/1VYWGhx4dLOnXqZHYc/Oc//3E73g8//ODxwQb7fuzIkSMefxNAMBXfr3rKK7xq1Spt3ry5xDS+aNWqlfnEtvO+x9djZjj2v/4IV5vBX/Z1c/jwYX322Wdux3v//fcDvvYfKTk5OeYDeZ7e/OKO/TXN69evd3sd+ccffzTTs1qdL8cvqWj7C6TD39M8T5486fZJ9r///tvjsTCcgtUf5et+Khh9SaADOypkZGSYTzIfO3ZMV1xxhceT3E8++cTMV5WYmKj//Oc/Xu8Mef75513effPTTz9p1KhRkoruAC7+WpdDhw4pKyvL44/9q6++Mv9f/P39VapU0YMPPihJWrlypQYPHuzxlR379u0zD/DBYH/Kes+ePZo+fbqZh+C2225zW1dnn322mTP5448/1rhx4zzOY8eOHfroo48cvrvwwgvNu6cnTpzo8i7nPXv2aOjQof4tkMU1btxYkrR161atXLmyxPC///5bt912m8e7ya+//nozV82zzz6rX3/9tcQ4W7duNXPruTN8+HCVK1dOhYWFuuGGGzyeVBYUFOjDDz/0OA4Aa7DvZ1asWOHyRq8///xTd9xxh9dy7KkuXO1jinvooYeUkpIiSerXr5/D0xquzJs3L2QNH3vMkve4I61SpUq66aabJEnvvPOOFi9eLKnoTTG+3sU6d+7cEnfqS0XnSPfdd5+kojv87f+369mzp+rUqSOpKDeUq9eM/f777+YxuEKFCurXr1+JcXzdRoIhLi5OTzzxhKSiJ3DvvPNOjw2k3NxcvfXWWw7fffPNNx5vfszPz9eyZcskSSkpKR6fjCxu+/bt5nTuuDsPjDYDBw6UVFRXAwYM0KlTp0qMM2nSJHN5e/Xq5fC73LBhg8cnWAzD0MKFCyUV3c1dPIffVVddZb729ZVXXnG57Rdnz6EKWA3H6SIcpzlOc5y2Nvu+Sip6mMOV4cOHa/369W7LqFevnrp16yap6IaLOXPmlBjnxIkTuvfeez3G0rdvX7NTZujQoVq+fLnH8VesWOF1nQPeXHjhhWrdurWkovQfxZ+Wtjty5IjD/vyBBx5wGD5jxgyP1/fWrVtnPrTjvO/x9ZgZjP1vsJW2zRAK/fr1MzvshgwZoj/++KPEOD/88INefPFFSVLdunXNVBZWVlhYqGHDhpl/2/e5/rDfcLB79+4S1++lotc+DxgwIPAgw6xGjRqqUqWKJOmjjz5y+XtYu3atnn766aDN037M/Pvvv12e+xUUFOjuu+/W7t27gzbP0ghWf5Sv+6lg9CWBHNhRY9CgQfr111/1+uuva+fOnWrdurVuvfVWXXfddWrYsKFOnTqln3/+WdOnTzdPLpKSkjRt2jSdd955Hss+88wz9eeff6pdu3Z6/PHHzbu/li5dqjFjxph3N7/55psOr4TJzc3Vddddp4yMDPXq1Utt27ZVw4YNFR8frz179igrK8v8kdetW7fEU+DPPfecli1bpu+++06vv/66li5dqnvuuUfnnXeeKlasqL/++ks//vijFi5cqC+//FItWrRwm3/IXz169FDFihV1/PhxDRo0SAUFBZLcvz7cbuLEiVq3bp22b9+uIUOG6L///a/uvPNONWvWTElJSTp48KB++OEHzZ8/X4sXL9b111+vW2+91aGMCRMmqGPHjjp16pSuvPJKDR48WNdcc42SkpL03Xff6cUXX9SBAwd07rnnerxRIZrccccdevPNN1VYWKhu3brp0UcfVceOHZWcnKzs7Gy9+uqr2rp1qzp06OD2FR7Jycl67bXXdNttt+nAgQNq27atHn/8cTO/+/Lly/XSSy+psLBQjRs31tatW11eZGnRooXGjh2rwYMHa/PmzWrevLnuvfdeXX755UpPT9fJkyeVk5OjVatWadasWdqzZ482btwY1jztAIo6fNxdNCru8ssvV4MGDXTnnXcqKytLx48f16WXXqphw4bpggsukFR0Yjpu3Djt3btX7du316pVq9yWd9FFF2nJkiVau3atxowZo65du6pixYqSpPLly5s57NLT0zV16lTdcMMN2rNnj1q3bq277rpLXbt2Vb169XTq1Cnt2rVLa9as0axZs7R9+3ZlZWWpZcuWpa8cJ+eff76Sk5N18uRJPf3000pISFDDhg3NJz/q1q3rV07DULv77rs1efJk7d+/X1LRxQdPqU6ctW7dWrfddpuWLVumG264QZUrV9b//vc/vfTSS+bNeAMHDixR14mJiXr33XfVvXt35ebmqkOHDnr00Ud1xRVXqFy5clq5cqXGjBljxjV27FhVr169xPx93UaC5f7779fXX3+t2bNna+bMmVq/fr3uu+8+XXjhhUpNTVVubq5+/vlnLV26VHPnzlVycrLZKJOkRYsW6fnnn9fFF1+sbt26qWXLlqpRo4ZOnDihX375RW+//bZ5EXbAgAEe89wVt3PnTl122WU655xzdP3116t169bmsv/++++aMWOG2Yg977zz1LZt26DWSzh169ZNN954o2bOnKmvvvpK7dq10yOPPKImTZror7/+0scff2w+oZKWllaiYbphwwb169dPbdq0Uffu3dWqVSvVqlVLp06d0o4dOzR58mR9/fXXkoqetnK+kDV9+nRdeOGFOnTokG6++WZNmzZNN998sxo3bqxy5cpp//79+v7775WVlaXVq1dryJAh6t69e3gqB2UWx2nfcZzmOM1xOnp06dJFNWvW1P79+/XUU08pJydH119/vapXr65t27aZHXqerl1I0rhx47Ro0SL9/fffuvHGG/XAAw/o+uuvV+XKlbVp0ya9/PLL2rx5s5l33pWkpCR98skn6tSpk44dO6bLL79ct9xyi3r27KnMzEwVFhZqz549ys7O1uzZs7Vx40a9+eabZqcMEKj33ntPbdu2VX5+vq655hoNGjRI3bt3V8WKFfX9999rzJgxZuq+oUOHlnjl9OOPP677779fPXr00CWXXKKzzjpLFStW1MGDB7VixQoz5WW5cuVKXOdt0KCB6tWrp127dmns2LGqV6+ezj77bDN3bHp6uvnq59Luf4OttG2GUKhRo4ZeeeUVDRw4ULt27dIFF1ygYcOG6aKLLtLp06e1cOFCvfLKKzp27JhsNpveffddJSQkhDwuX/zxxx/mW1vsjh8/rs2bN+u9994zzxerVaumxx9/3O/yb7/9dj377LPKzc3VgAEDtG3bNnXp0kU2m03Z2dkaN26cdu3apfPPP99MXWJlcXFx6tOnj8aPH6///e9/6tixox555BE1btxYR44c0RdffKEJEyYoJSVFderUCcqr0W+66SY98cQTysvLU79+/bRhwwZdeeWVSk1N1Y8//qg333xT2dnZXo+Z4RSM/qiLLrrI/P/gwYP15JNPqnbt2mY/REZGhnm+Foy+pDLPQFSZOHGikZaWZkjy+GnatKmxfPlyj2VdeumlhiTj0ksvNT7//HOjQoUKLsuKi4szxo4dW2L6HTt2eI1DklG7dm1j3bp1LmPIzc01evXq5VM5l112WYnp+/bta0gyGjZs6Hdd9unTx6H8c88916fp9uzZY1x88cU+xdyvXz+XZUyfPt1ITEx0OU18fLzx7rvvlmrZ7OxlXnrppR6Hjxgxwm0Zxdfz5MmT3Y63ZMkSc7wlS5aUGD5y5EiPdTVkyBBj8uTJ5t87duxwOZ8XXnjBsNlsLsuoUKGCMW/ePHP9XH311W7jfffdd91u88U/iYmJxtatW92WAyB4iu9HfP3Mnj3bnL5fv35uxytXrpzx2muvGSNGjDC/c2XXrl1uj7Ou9qVz58716bgcFxdnLF682GFaX/evhmEYDRs2NCQZffv2dTn8sccecztvV/tkT4rXka/T2uPz9Zh1zjnnmPO48sor/Ypp+/btRmZmptvl7d27t3Hq1Cm3ZU2ZMsVISkryuK28+OKLbqf3dRsJ5vrNz883HnjgAbfHv+KfzMxMt3Xn6dOjRw/j77//9jk2X3+vTZo0MbZv3+5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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import tempfile\n", + "import subprocess\n", + "\n", + "# Generate a random tmp directory name\n", + "tmp_dir = tempfile.mkdtemp()\n", + "output_filename = \"part1.mp4\"\n", + "fps = 10\n", + "# Write files into the tmp directory\n", + "for t in range(len(traces_and_blur_samples)):\n", + " _make_viz(t,os.path.join(tmp_dir, \"%07d.png\" % t));\n", + "\n", + "subprocess.call(\n", + " [\n", + " \"ffmpeg\",\n", + " \"-hide_banner\",\n", + " \"-loglevel\",\n", + " \"error\",\n", + " \"-y\",\n", + " \"-r\",\n", + " str(fps),\n", + " \"-i\",\n", + " os.path.join(tmp_dir, \"%07d.png\"),\n", + " output_filename,\n", + " ]\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 2: Evolution of Inference" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 5/5 [00:13<00:00, 2.71s/it]\n" + ] + } + ], + "source": [ + "w = 0.2\n", + "wz = 0.2\n", + "low, high, num = (\n", + " jnp.array([-w, -wz, -jnp.pi / 4]),\n", + " jnp.array([w, wz, jnp.pi / 4]),\n", + " jnp.array([15, 15, 7]),\n", + ")\n", + "base_grid_points = b3d.utils.make_grid_points(low, high, num)\n", + "\n", + "grid_points_to_poses = jax.jit(jax.vmap(grid_point_to_pose))\n", + "\n", + "latent_camera_pose = grid_point_to_pose(jnp.array([0.6, 0.21, -1.5]))\n", + "trace = b3d.update_choices(trace, Pytree.const((\"camera_pose\",)), latent_camera_pose)\n", + "\n", + "\n", + "\n", + "color_variance_sweep = jnp.linspace(0.05, 0.4, 5)\n", + "outlier_probability_sweep = jnp.linspace(0.01, 0.4, 10)\n", + "blur_sweep = jnp.linspace(0.001, 50.0, 30)\n", + "\n", + "viz_trace(trace, 0)\n", + "\n", + "inference_step = 1\n", + "traces = []\n", + "for i in tqdm(range(5)):\n", + " key = b3d.split_key(key)\n", + " addresses= Pytree.const((\"color_variance_0\",\"outlier_probability_0\",\"blur\"))\n", + " sweeps = [color_variance_sweep, outlier_probability_sweep, blur_sweep]\n", + " scores = b3d.utils.grid_trace(\n", + " trace,\n", + " addresses,\n", + " sweeps,\n", + " )\n", + " index = jnp.unravel_index(scores.argmax(), scores.shape)\n", + "\n", + " sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + " jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + " )\n", + " sampled_parameters = jnp.vstack(\n", + " [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + " ).T\n", + " trace = b3d.update_choices(trace, addresses, *sampled_parameters[0])\n", + " traces.append(trace)\n", + "\n", + " key = b3d.split_key(key)\n", + " grid_noise = (jax.random.uniform(key, base_grid_points.shape) - 0.5) * (high - low) /num\n", + " pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + " poses = trace.get_choices()[\"camera_pose\"] @ pose_grid\n", + "\n", + " scores = b3d.enumerate_choices_get_scores(\n", + " trace,\n", + " Pytree.const((\"camera_pose\",)), poses,\n", + " )\n", + "\n", + "\n", + " sampled_indices = jax.random.categorical(key, scores , shape=(5000,))\n", + "\n", + " trace = b3d.update_choices(trace, Pytree.const((\"camera_pose\",)), poses[sampled_indices[0]])\n", + " traces.append(trace)\n", + " inference_step += 1\n", + " viz_trace(trace, inference_step)\n", + " # viz_trace(importance_jit(\n", + " # key,\n", + " # trace.get_choices().filter( ~S[\"rgbd\"]),\n", + " # trace.get_args(),\n", + " # )[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "32021061d2a0497e9eea73e03065ecb6", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(IntSlider(value=1, continuous_update=False, description='t', max=9), Output()), _dom_cla…" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def _make_viz(t, filename=None):\n", + " trace = traces[t]\n", + "\n", + " fig, axs = plt.subplots(2, 3, figsize=(20, 10))\n", + "\n", + " axs[0,0].imshow(trace.get_choices()[\"rgbd\"][...,:3])\n", + " axs[0,0].set_title('Observed Image', fontsize=20)\n", + " axs[0,0].axis('off')\n", + "\n", + " draw_world(axs[0,1])\n", + " draw_pose(axs[0,1], gt_camera_pose)\n", + " draw_pose(axs[0,1], trace.get_choices()[\"camera_pose\"],(1.0, 0.0, 0.0, 1.0))\n", + " axs[0,1].axis('off')\n", + " axs[0,1].set_title('Latent Hypothesis - Pose', fontsize=20)\n", + "\n", + " # axs[2].imshow(trace.get_retval()[\"latent_rgbd\"][...,:3])\n", + " # axs[2].set_title('Latent Hypothesis - Noiseless', fontsize=20)\n", + " # axs[2].axis('off')\n", + "\n", + " image_sample = (importance_jit(\n", + " key,\n", + " trace.get_choices().filter( ~S[\"rgbd\"]),\n", + " trace.get_args(),\n", + " )[0]).get_choices()[\"rgbd\"]\n", + "\n", + " # Plot histogram for the third subplot\n", + " axs[0,2].imshow(image_sample[...,:3])\n", + " axs[0,2].set_title('Image Sample', fontsize=20)\n", + " axs[0,2].axis('off')\n", + "\n", + " log_scores = [t.get_score() for t in traces]\n", + " blurs = [t.get_choices()[\"blur\"] for t in traces]\n", + " outlier_prob = [t.get_choices()[\"outlier_probability_0\"] for t in traces]\n", + "\n", + " axs[1,0].plot(log_scores, linewidth=4)\n", + " axs[1,0].scatter([t], [log_scores[t]], color='red', s=100)\n", + " axs[1,0].set_title('Log Score', fontsize=20)\n", + "\n", + " axs[1,1].plot(blurs, linewidth=4)\n", + " axs[1,1].scatter([t], [blurs[t]], color='red', s=100)\n", + " axs[1,1].set_title('Blur', fontsize=20)\n", + "\n", + " axs[1,2].plot(outlier_prob, linewidth=4)\n", + " axs[1,2].scatter([t], [outlier_prob[t]], color='red', s=100)\n", + " axs[1,2].set_title('Outlier Probability', fontsize=20)\n", + "\n", + "\n", + " # Adjust spacing between subplots\n", + " plt.tight_layout()\n", + " if filename is not None:\n", + " plt.savefig(filename)\n", + " return\n", + " plt.show()\n", + "\n", + "interact(_make_viz,\n", + " t = widgets.IntSlider(value=1, min=0, max=len(traces)-1, step=1, continuous_update=False),\n", + " filename = widgets.fixed(None)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 184, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 184, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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C5lYAAABAsLNaLRqS2Ec7D3ruLEXHOADgVFAYB+BXPi936ImNxXrt0zK1O12dOsdui9QN52fo6m+mKTqc/1sDgGDT3t6ul156SQ0NDcrJyXHHn3/+ef3lL39RSkqKZs6cqbvuuuuEXePNzc1qbm52v3c42NK7p2XZbfrXZ+UesZZ2p76sqO9wq3UAAAAAwSWjf4yhMF5S3SCn0yWr1eKjrAAAvREVJAA+53K59NGer7RyY5He/ryy0+d9I7mPfjwxU5eOsdNVBgBB6LPPPlNOTo6amprUp08fvfLKKxoxYoQk6Qc/+IEGDRoku92ubdu26Y477tCuXbv08ssvd3i9pUuX6je/+Y230oeOdoyb2V5WS2EcAAAAgCQps38fQ+xIa7sOOpo0ID7KBxkBAHorCuMAfMbpdCnv80qt2LBbW0trOn3e2YP6asGkTF04NIlvhQJAEBs6dKgKCgpUW1urv//975ozZ442btyoESNGaP78+e51Z511llJTU3XxxRerqKhImZmZptdbvHixcnNz3e8dDofS0tJ6/HMEsyy7zTS+o4xufQAAAABHZfaPMY0XV9VTGAcAdAmFcQBe19Lm1GuflumJjUX6sgvzgCYPT9JNF2Tq7MEJPZgdAKC3CA8P1xlnnCFJys7O1kcffaSHH35YTzzxhGHt+PHjJUm7d+/usDAeERGhiIiInksYBv1jI5QcF6EKR7NHfPuBWh9lBAAAAMDfmHWMS0fnjJ9/Zn8vZwMA6M0ojAPwmobmNv31w1I99V6JDtY2deqcUKtFl46x68cTMzU0JbaHMwQA9GZOp9NjRvjxCgoKJEmpqalezAidkWW3qcLhOUpl50EH8wIBAAAASJKGJHbQMV7d4OVMAAC9HYVxAD3uUH2zVr+/R6s371XtkdZOnRMVFqJrvpmueecPYUskAIDB4sWLNX36dKWnp6uurk5r1qzRhg0btG7dOhUVFWnNmjW65JJL1K9fP23btk233nqrJk6cqFGjRvk6dXzNSHuc3v7cszDe0NKuPYcalNFBZwgAAACA4BETEapUW6Sh0aaoqvM7UQIAIFEYB9CD9h1u1J/fLdaLH+9TU6uzU+f0jQ7T9d8aotk5g9Q3JryHMwQA9FaVlZWaPXu2Dh48KJvNplGjRmndunX69re/rX379umtt97SQw89pIaGBqWlpWnWrFm68847fZ02TIzoYM749jIHhXEAAAAAko5up24ojFfSMQ4A6BoK4wC63c6DDq3cWKQ3th1Uu9PVqXMGxEfpxvOH6PvnpCk6nP9rAgCc2FNPPdXhsbS0NG3cuNGL2eB0ZNnjTOOFZbW6dLTdy9kAAAAA8EcZ/WP03u5qj1i5o0n1zW3qE8GzRABA5/BvDADdwuVy6YOSw1q5sUgbdlV1+ryhybG6aVKGvjPKrrAQaw9mCAAA/NHAvlGyRYUZxq0UHnD4KCMAAAAA/iazg92kSqoadNZA812oAAD4OgrjAE6L0+nS+p0VWrmxSJ+U1nT6vG8OTtCCSZmaNLS/LBZLzyUIAAD8msViUZY9Tu8XHfKIF5bVyuVycZ8AAAAAQBn9Y0zjxdX1FMYBAJ1GYRzAKWlpc+rVggN6YmORiqo6P89n8vBkLZiUoexBCT2YHQAA6E1GDrAZCuNfNbbqYG2T7PFRPsoKAAAAgL/oqGO8qLLey5kAAHozCuMAuqS+uU1//aBUT71XonJHU6fOCbVadPnYAfrxxAydmRzbwxkCAIDepqM549sP1FIYBwAAAKCUuEhFhYXoSGu7R7youvMNOwAAUBgH0CnV9c1a9X979OzmPXI0tXXqnOjwEF3zzXTNO28ID7UBAECHOiqMF5Y5NCUrxcvZAAAAAPA3VqtFGf1jVFjm8IjTMQ4A6AoK4wBOqPRQo558t1h/+3ifmtucnTonISZc139rsGbnDFJ8dHgPZwgAAHq7IYl9TLs/vv7QCwAAAEDwyujfx/A7Qkl1g5xOl6xWi4+yAgD0JhTGAZhqbGnTva/v0N8+3ienq3PnDOwbpRvPz9D3z05TVHhIzyYIAAACRojVouGpsdpaWuMRLyyr9U1CAAAAAPxOZv8YQ6y5zakDNUeUlhDtg4wAAL0NhXEApn75/z7Ta5+WdWrtsJRYLZiUqRlnpSo0xNrDmQEAgEA0coDNUBg/WNukQ/XN6tcnwjdJAQAAAPAbGf37mMaLqxsojAMAOoXCOACDrxpa9Ma2kxfFxw9J0E2TMjXpG/1lsbBdEQAAOHUnmjM+8Rv9vZwNAAAAAH9j1jEuHZ0zfgG/MwAAOoHCOACDraVfnXD79CkjknXTpEyNS+/rvaQAAEBAy7LbTOMUxgEAAABI0pBE88J4cXW9lzMBAPRWFMYBGOTv/co0fuXYAfrJhZk6IynWyxkBAIBAd2ZyH4WFWNTa7vntPOaMAwAAAJCk6PBQDYiP0oGaIx7xosoGH2UEAOhtGAYMwMCsMB4bEarff280RXEAANAjIkJDdKbJfUZhmcMH2QAAAADwRxkm26nTMQ4A6CwK4wA8tLY7tW2/sTNrTHq8QqzMEQcAAD1n5ADjnPGS6gbVNbX6IBsAAAAA/iazfx9DrMLRzO8MAIBOoTAOwMPnB+t0pLXdEGeeOAAA6GkdzRnfebDOy5kAAAAA8EdmHePS0S/UAgBwMhTGAXjI33vYNJ49iMI4AADoWVl2Y8e4xJxxAAAAAEeZdYxLUlEV26kDAE6OwjgAD/mlNYaYxXJ0K3UAAICeNDw1ThaTyS3MGQcAAAAgddwxXlxFxzgA4OQojAPwsHXvV4bY0ORYxUWG+SAbAAAQTGIiQjUk0figa/sBOsYBAAAASClxkYoODzHE6RgHAHQGhXEAbuW1TTpQc8QQH8c26gAAwEvM5ozvrqxXU2u7D7IBAAAA4E8sFotp1zgd4wCAzqAwDsBta6mxW1ySstMpjAMAAO8YaTJnvM3p0hcVdT7IBgAAAIC/MZszXlzdoHanywfZAAB6EwrjANzyTbZRl+gYBwAA3mPWMS4xZxwAAADAURmJxsJ4S5tTZSY7YQIAcLwuF8Y3bdqkmTNnym63y2Kx6NVXX/U4Xl9fr0WLFmngwIGKiorSiBEjtHLlSo81TU1NWrhwofr166c+ffpo1qxZqqio8FhTWlqqGTNmKDo6WklJSbr99tvV1tbW9U8IoNPMCuMJMeEa3C/aB9kAAIBglGXSMS5JhWXMGQcAAAAgZSYZt1KXpN3MGQcAnESXC+MNDQ0aPXq0li9fbno8NzdXa9eu1V/+8hft3LlTt9xyixYtWqTXXnvNvebWW2/V66+/rpdeekkbN25UWVmZrrzySvfx9vZ2zZgxQy0tLXr//fe1evVqrVq1SkuWLDmFjwigM5pa200fOI9L7yuLxeKDjAAAQDDqGxOuAfFRhvj2A3SMAwAAADDvGJeYMw4AOLnQrp4wffp0TZ8+vcPj77//vubMmaNJkyZJkubPn68nnnhCH374oS699FLV1tbqqaee0po1a3TRRRdJkp555hkNHz5cW7Zs0YQJE/Tmm29qx44deuutt5ScnKwxY8bovvvu0x133KF77rlH4eHhhp/b3Nys5uZm93uHgwdnQFd8dqBWre3GOTzZbKMOAAC8bIQ9Tge+tg3i5+UOtTtdCrHyhT0AAAAgmA1JjJHFIrm+9iiziI5xAMBJdPuM8W9961t67bXXdODAAblcLr3zzjv64osvNGXKFElSfn6+WltbNXnyZPc5w4YNU3p6ujZv3ixJ2rx5s8466ywlJye710ydOlUOh0OFhYWmP3fp0qWy2WzuV1paWnd/NCCgbe1gvjiFcQAA4G0jTeaMN7U6VcyDLgAAACDoRYWHyG4z7jLF7wsAgJPp9sL4o48+qhEjRmjgwIEKDw/XtGnTtHz5ck2cOFGSVF5ervDwcMXHx3ucl5ycrPLycvea44vix44fO2Zm8eLFqq2tdb/27dvXzZ8MCGxm88VDrRaNGmh8MA0AANCTOpozvp054wAAAAAkZSYZt1MvYit1AMBJdHkr9ZN59NFHtWXLFr322msaNGiQNm3apIULF8put3t0iXe3iIgIRURE9Nj1gUDmcrm0tdRYGM+yxykyLMQHGQEAgGA2coD5F/MKDzh0xVgvJwMAAADA72QkxmjTF1Uesaq6ZjmaWhUXGeajrAAA/q5bO8aPHDmiX/3qV3rwwQc1c+ZMjRo1SosWLdJVV12lP/zhD5KklJQUtbS0qKamxuPciooKpaSkuNdUVFQYjh87BqB7lR5uVHV9iyE+jm3UAQCADyTHRahfTLghTsc4AAA4keXLl2vw4MGKjIzU+PHj9eGHH3a49uWXX9bZZ5+t+Ph4xcTEaMyYMXruuec81lx//fWyWCwer2nTpvX0xwDQCWYd45JUTNc4AOAEurUw3traqtbWVlmtnpcNCQmR0+mUJGVnZyssLEx5eXnu47t27VJpaalycnIkSTk5Ofrss89UWVnpXrN+/XrFxcVpxIgR3ZkyAJlvoy4xXxwAAPiGxWLRCJPt1HeUOeRyuXyQEQAA8HcvvviicnNzdffdd2vr1q0aPXq0pk6d6vF88XgJCQn69a9/rc2bN2vbtm2aO3eu5s6dq3Xr1nmsmzZtmg4ePOh+/fWvf/XGxwFwEpmJMaZx5owDAE6ky1up19fXa/fu3e73JSUlKigoUEJCgtLT03XBBRfo9ttvV1RUlAYNGqSNGzfq2Wef1YMPPihJstlsmjdvnnJzc5WQkKC4uDjdfPPNysnJ0YQJEyRJU6ZM0YgRI3Tddddp2bJlKi8v15133qmFCxeyXTrQA8y2UZcojAMAAN8ZOcCmd7+s9og5mtq0/6sjSkuI9lFWAADAXz344IO68cYbNXfuXEnSypUr9c9//lNPP/20fvnLXxrWT5o0yeP9z372M61evVrvvfeepk6d6o5HRER0egfL5uZmNTc3u987HI5T+CQAOqOjjvEiCuMAgBPocsf4xx9/rLFjx2rs2KPD/XJzczV27FgtWbJEkvTCCy/onHPO0bXXXqsRI0bogQce0G9/+1vddNNN7mv88Y9/1He+8x3NmjVLEydOVEpKil5++WX38ZCQEL3xxhsKCQlRTk6OfvjDH2r27Nm69957T/fzAjCRv7fGELPbIpVqi/J+MgAAAJKyTDrGJWn7AbZTBwAAnlpaWpSfn6/Jkye7Y1arVZMnT9bmzZtPer7L5VJeXp527dqliRMnehzbsGGDkpKSNHToUC1YsECHDh3q8DpLly6VzWZzv9LS0k79QwE4oaTYCMWEhxjibKUOADiRLneMT5o06YTbF6akpOiZZ5454TUiIyO1fPlyLV++vMM1gwYN0r/+9a+upgegi+qaWrWr3PgN5rF0iwMAAB8aabeZxgvLHJp+VqqXswEAAP6surpa7e3tSk5O9ognJyfr888/7/C82tpaDRgwQM3NzQoJCdHjjz+ub3/72+7j06ZN05VXXqkhQ4aoqKhIv/rVrzR9+nRt3rxZISHGgtzixYuVm5vrfu9wOCiOAz3EYrEoM6mPtu33/OIsHeMAgBPpcmEcQGD5dF+tnCbfdclOpzAOAAB8Jz0hWn0iQlXf3OYR315GxzgAAOgesbGxKigoUH19vfLy8pSbm6uMjAz3NutXX321e+1ZZ52lUaNGKTMzUxs2bNDFF19suF5ERARjIAEvykiMMRTG91Q3qt3pUojV4qOsAAD+rMtbqQMILPl7mS8OAAD8j9Vq0YhU43bqhWXM6gQAAJ4SExMVEhKiiooKj3hFRcUJ54NbrVadccYZGjNmjG677TZ997vf1dKlSztcn5GRocTERO3evbvbcgdw6jL7G+eMt7Q7tf+rRh9kAwDoDSiMA0Euv9RYGI8Ms2pEB3M9AQAAvCVrgPF+pKquWZWOJh9kAwAA/FV4eLiys7OVl5fnjjmdTuXl5SknJ6fT13E6nWpubu7w+P79+3Xo0CGlpjLWBfAHGSaFcYk54wCAjlEYB4KY0+nSJyaF8VED4xUWwv89AAAA38o6wZxxAACA4+Xm5urJJ5/U6tWrtXPnTi1YsEANDQ2aO3euJGn27NlavHixe/3SpUu1fv16FRcXa+fOnfrf//1fPffcc/rhD38oSaqvr9ftt9+uLVu2aM+ePcrLy9Nll12mM844Q1OnTvXJZwTgKTMpxjTOnHEAQEeYMQ4Esd1V9aprajPE2UYdAAD4g5EmHeOSVFhWqwuHJXk5GwAA4M+uuuoqVVVVacmSJSovL9eYMWO0du1aJScnS5JKS0tltf63CaChoUE/+clPtH//fkVFRWnYsGH6y1/+oquuukqSFBISom3btmn16tWqqamR3W7XlClTdN999zFHHPATg/vFyGKRXC7POIVxAEBHKIwDQayj+eLj0imMAwAA38vs30fhoVa1tDk94tsP0DEOAACMFi1apEWLFpke27Bhg8f7+++/X/fff3+H14qKitK6deu6Mz0A3SwyLEQD+0Zp3+EjHvEitlIHAHSAvZKBINZxYTzeu4kAAACYCAuxalhKrCFeeLDWB9kAAAAA8DeZJnPGi+kYBwB0gMI4EMS2mhTGhyTGqF8ftgQDAAD+wWzO+L7DR1Tb2OqDbAAAAAD4k4xEY2G8ur6F3xcAAKYojANB6nBDi4qrjdsKsY06AADwJ1n2DuaM0zUOAAAABL3MpBjTeFE1XeMAACMK40CQ+qTUfBv17EEUxgEAgP/oqDC+o4w54wAAAECwM+sYl6Ri5owDAExQGAeCVEfzxSmMAwAAfzI8NU4hVoshvv0AHeMAAABAsOuwY5w54wAAExTGgSBlVhiPjQjVmUnm37IEAADwhciwEGX2Nz7sKqRjHAAAAAh6/ftEKDYi1BAvpjAOADBBYRwIQq3tTn26v8YQH5MeL6tJRxYAAIAvjbTbDLGiqnodaWn3QTYAAAAA/IXFYlGGSaNPEVupAwBMUBgHgtDOgw41tToNcbZRBwAA/miEyZxxp0vaWU7XOAAAABDsMhONO0ztPdSgtnbj808AQHCjMA4Eoa3MFwcAAL1IlknHuMR26gAAAACkTJOO8dZ2l/Z9dcQH2QAA/BmFcSAI5ZfWGGIWizQmLd7ruQAAcCpWrFihUaNGKS4uTnFxccrJydG///1v9/GmpiYtXLhQ/fr1U58+fTRr1ixVVFT4MGOcDrOOcUnaUVbr5UwAAAAA+JsMk45xiTnjAAAjCuNAEDLrGB+aHKvYyDAfZAMAQNcNHDhQDzzwgPLz8/Xxxx/roosu0mWXXabCwkJJ0q233qrXX39dL730kjZu3KiysjJdeeWVPs4ap8oWFab0hGhDfPsBOsYBAACAYGfWMS5JRRTGAQBfE+rrBAB418HaIzpQY9xGaBzbqAMAepGZM2d6vP/tb3+rFStWaMuWLRo4cKCeeuoprVmzRhdddJEk6ZlnntHw4cO1ZcsWTZgwwRcp4zSNHBCn0sONHrFd5XVqbXcqLITv+wIAAADBalC/aFktktPlGS+uavBNQgAAv8UTJCDIbN1bYxrPTqcwDgDondrb2/XCCy+ooaFBOTk5ys/PV2trqyZPnuxeM2zYMKWnp2vz5s0dXqe5uVkOh8PjBf9hNme8pd2pLyvoAgEAAACCWURoiNJMdpiiYxwA8HUUxoEgk2+yjbokZdMxDgDoZT777DP16dNHERERuummm/TKK69oxIgRKi8vV3h4uOLj4z3WJycnq7y8vMPrLV26VDabzf1KS0vr4U+Aruhoznghc8YBAACAoGc2Z5yOcQDA11EYB4LM1lJjYbxfTLgG9TN+qxIAAH82dOhQFRQU6IMPPtCCBQs0Z84c7dix45Svt3jxYtXW1rpf+/bt68ZscbpGmnSMS1JhGZ39AAAAQLDL7G+cM36ooUU1jS0+yAYA4K+YMQ4EkabWdtOuqnGD+spisfggIwAATl14eLjOOOMMSVJ2drY++ugjPfzww7rqqqvU0tKimpoaj67xiooKpaSkdHi9iIgIRURE9HTaOEX9YyOUFBuhyrpmjzgd4wAAAAAyTArjklRU1aDsQeFezgYA4K/oGAeCyGcHatXa7jLExzFfHAAQAJxOp5qbm5Wdna2wsDDl5eW5j+3atUulpaXKycnxYYY4XSMHGLvGd5Q55HQa728AAAAABI/M/sat1CXmjAMAPNExDgQR5osDAALF4sWLNX36dKWnp6uurk5r1qzRhg0btG7dOtlsNs2bN0+5ublKSEhQXFycbr75ZuXk5GjChAm+Th2nIcsep7c/r/SINbS0a8+hhg47RAAAAAAEvo5+H2DOOADgeBTGgSBiVhgPtVo0aqD5zE4AAPxVZWWlZs+erYMHD8pms2nUqFFat26dvv3tb0uS/vjHP8pqtWrWrFlqbm7W1KlT9fjjj/s4a5yuLHucabywzEFhHAAAAAhiiX3CFRcZKkdTm0ecjnEAwPEojANBwuVy6ZNSY2E8a4BNkWEhPsgIAIBT99RTT53weGRkpJYvX67ly5d7KSN4Q5bd/Mt8hWUOzRxt93I2AAAAAPyFxWJRRv8+KthX4xEvpjAOADgOM8aBIFF6uFHV9S2GeDbzxQEAQC8xsG+UbFFhhnhhWa0PsgEAAADgTzJNdpHae6hRre1OH2QDAPBHFMaBINHRfPFxg+K9mwgAAMApslgsGpFq3E69sMwhl8vlg4wAAAAA+IuM/jGGWJvTpX2HG32QDQDAH1EYB4JER4Xx7EF0jAMAgN5j5ABjYfxwQ4sO1jb5IBsAAAAA/sKsY1ySiqoavJwJAMBfURgHgoRZYdxui1SqLcoH2QAAAJyaE80ZBwAAABC8Mk06xiXmjAMA/ovCOBAE6ppatauizhAfR7c4AADoZcw6xiXmjAMAAADBLr1ftEKsFkO8iMI4AOA/KIwDQeDTfbUyG7vJNuoAAKC3GZLYR1FhIYb49gN0jAMAAADBLCI0RGl9jbtjFrOVOgDgPyiMA0GA+eIAACBQhFgtGpYaa4jvoGMcAAAACHpmc8bpGAcAHENhHAgC+aXGwnhkmFXDU823IgUAAPBnI03mjJfVNulwQ4sPsgEAAADgLzJM5ox/1djK7woAAEkUxoGA53S69IlJx/iogfEKC+H/AgAAQO+TZWfOOAAAAAAjs45xSSqmaxwAIArjQMD7srJedc1thjjbqAMAgN5q5ABjx7gkFZYxZxwAAAAIZhkdFsaZMw4AoDAOBLytJtuoS1J2OoVxAADQO52Z3EehVoshvv0AHeMAAABAMMs02UpdYs44AOAoCuNAgMs32UZdksbRMQ4AAHqpiNAQnZkca4jvoGMcAAAACGoJMeGyRYUZ4kV0jAMARGEcCHhbTQrjGYkxSogJ90E2AAAA3WOkyZzxkkMNqjcZIQMAAAAgOFgsFtOucWaMAwAkCuNAQDvc0KLiauO3IceyjToAAOjlskwK4y6XtPMgXeMAAABAMDObM773cKNa2pw+yAYA4E8ojAMBzKxbXJKy2UYdAAD0ciMH2EzjhcwZBwAAAIJapklhvN3pUunhRh9kAwDwJxTGgQCWX0phHAAABKbhqXGyWIzx7cwZBwAAAIJahslW6pJUxHbqABD0ulwY37Rpk2bOnCm73S6LxaJXX33VsGbnzp269NJLZbPZFBMTo3POOUelpaXu401NTVq4cKH69eunPn36aNasWaqoqPC4RmlpqWbMmKHo6GglJSXp9ttvV1sb8wKBrjDrGI+NCNWZScZvTQIAAPQmMRGhGtLP+MCrkMI4AAAAENTMOsYlqbjKOHISABBculwYb2ho0OjRo7V8+XLT40VFRTrvvPM0bNgwbdiwQdu2bdNdd92lyMhI95pbb71Vr7/+ul566SVt3LhRZWVluvLKK93H29vbNWPGDLW0tOj999/X6tWrtWrVKi1ZsuQUPiIQnFrbnfp0f40hPnZQX1mtJu1VAAAAvUyWyXbqX1bUqbmt3QfZAAAAAPAH6QnRCjF5/knHOAAgtKsnTJ8+XdOnT+/w+K9//WtdcsklWrZsmTuWmZnp/nNtba2eeuoprVmzRhdddJEk6ZlnntHw4cO1ZcsWTZgwQW+++aZ27Niht956S8nJyRozZozuu+8+3XHHHbrnnnsUHh5u+LnNzc1qbm52v3c46BRBcNt50KGmVqchPi493vvJAAAA9IAse5xe/7TMI9bmdOmL8nqdNdB8BjkAAACAwBYeatWghGgVV3t2iBdTGAeAoNetM8adTqf++c9/6hvf+IamTp2qpKQkjR8/3mO79fz8fLW2tmry5Mnu2LBhw5Senq7NmzdLkjZv3qyzzjpLycnJ7jVTp06Vw+FQYWGh6c9eunSpbDab+5WWltadHw3odfJNtlGXmC8OAAACR5Y9zjReWFbr5UwAAAAA+BOzOeNFVQ1yuVw+yAYA4C+6tTBeWVmp+vp6PfDAA5o2bZrefPNNXXHFFbryyiu1ceNGSVJ5ebnCw8MVHx/vcW5ycrLKy8vda44vih87fuyYmcWLF6u2ttb92rdvX3d+NKDXMSuMWyzSmLR47ycDAADQA7Ls5l3h2ymMAwAQlJYvX67BgwcrMjJS48eP14cfftjh2pdffllnn3224uPjFRMTozFjxui5557zWONyubRkyRKlpqYqKipKkydP1pdfftnTHwNANzCbM157pFWHG1p8kA0AwF90e8e4JF122WW69dZbNWbMGP3yl7/Ud77zHa1cubI7f5RBRESE4uLiPF5AMNtqUhgfmhyr2MgwH2QDAADQ/RJiwmW3RRrihWWMVQIAINi8+OKLys3N1d13362tW7dq9OjRmjp1qiorK03XJyQk6Ne//rU2b96sbdu2ae7cuZo7d67WrVvnXrNs2TI98sgjWrlypT744APFxMRo6tSpampq8tbHAnCKzDrGpaNd4wCA4NWthfHExESFhoZqxIgRHvHhw4ertLRUkpSSkqKWlhbV1NR4rKmoqFBKSop7TUVFheH4sWMATuxg7RGV1Rp/SWMbdQAAEGiyBhi7xncedKjdyRaJAAAEkwcffFA33nij5s6dqxEjRmjlypWKjo7W008/bbp+0qRJuuKKKzR8+HBlZmbqZz/7mUaNGqX33ntP0tFu8Yceekh33nmnLrvsMo0aNUrPPvusysrKPMZGHq+5uVkOh8PjBcA3zDrGJeaMA0Cw69bCeHh4uM455xzt2rXLI/7FF19o0KBBkqTs7GyFhYUpLy/PfXzXrl0qLS1VTk6OJCknJ0efffaZxzc6169fr7i4OEPRHYDR1r01pnEK4wAAINCYzRlvanXywAsAgCDS0tKi/Px8TZ482R2zWq2aPHmyNm/efNLzXS6X8vLytGvXLk2cOFGSVFJSovLyco9r2mw2jR8/vsNrLl26VDabzf1KS0s7zU8G4FR1VBgv4vcEAAhqoV09ob6+Xrt373a/LykpUUFBgRISEpSenq7bb79dV111lSZOnKgLL7xQa9eu1euvv64NGzZIOnoDOW/ePOXm5iohIUFxcXG6+eablZOTowkTJkiSpkyZohEjRui6667TsmXLVF5erjvvvFMLFy5URERE93xyIICZzReXpHHpFMYBAEBg6WjOeGGZQ2cmx3o5GwAA4AvV1dVqb29XcnKyRzw5OVmff/55h+fV1tZqwIABam5uVkhIiB5//HF9+9vfliSVl5e7r/H1ax479nWLFy9Wbm6u+73D4aA4DvhI35hw9Y0O01eNrR7xYrZSB4Cg1uXC+Mcff6wLL7zQ/f7Yzd6cOXO0atUqXXHFFVq5cqWWLl2qn/70pxo6dKj+3//7fzrvvPPc5/zxj3+U1WrVrFmz1NzcrKlTp+rxxx93Hw8JCdEbb7yhBQsWKCcnRzExMZozZ47uvffe0/msQNDILzUWxvvFhGtQv2gfZAMAANBzRg4wdoxL0vYDtbp87AAvZwMAAHqT2NhYFRQUqL6+Xnl5ecrNzVVGRoYmTZp0SteLiIigqQfwI5n9++jjrzUQ0TEOAMGty4XxSZMmyeU68by+H/3oR/rRj37U4fHIyEgtX75cy5cv73DNoEGD9K9//aur6QFBr6m1XYUHag3xcYP6ymKx+CAjAACAnpMSF6mEmHAdbmjxiBeWMdMTAIBgkZiYqJCQEFVUVHjEKyoqlJKS0uF5VqtVZ5xxhiRpzJgx2rlzp5YuXapJkya5z6uoqFBqaqrHNceMGdP9HwJAt8voH2MojO/76oia29oVERrio6wAAL7UrTPGAfjeZwdq1eY0fnmF+eIAACAQWSwW0znjhWW1J/1CLwAACAzh4eHKzs5WXl6eO+Z0OpWXl6ecnJxOX8fpdKq5uVmSNGTIEKWkpHhc0+Fw6IMPPujSNQH4jtmc8XanS6WHGn2QDQDAH3S5YxyAf+tovjiFcQAAEKiy7Da9+2W1R8zR1Kb9Xx1RWgKjZAAACAa5ubmaM2eOzj77bH3zm9/UQw89pIaGBs2dO1eSNHv2bA0YMEBLly6VJC1dulRnn322MjMz1dzcrH/961967rnntGLFCklHv3x3yy236P7779eZZ56pIUOG6K677pLdbtfll1/uq48JoAsyTArjklRU1aAzk2O9nA0AwB9QGAcCjFlhPNRq0VkDbD7IBgAAoOeZdYxLR7vGKYwDABAcrrrqKlVVVWnJkiUqLy/XmDFjtHbtWiUnJ0uSSktLZbX+d/PMhoYG/eQnP9H+/fsVFRWlYcOG6S9/+Yuuuuoq95pf/OIXamho0Pz581VTU6PzzjtPa9euVWRkpNc/H4Cuy+wfYxpnzjgABC8K40AAcblc2mpSGM8aYFNkGHNzAABAYBrZwRcAC8scmjYy1fQYAAAIPIsWLdKiRYtMj23YsMHj/f3336/777//hNezWCy69957de+993ZXigC8KC0hWqFWi2HsZHFVg48yAgD4GjPGgQCy91CjDjW0GOLZ6WyjDgAAAteghGj1iTB+53f7gVofZAMAAADAH4SFWDWon3EHKTrGASB4URgHAgjzxQEAQDCyWi0akWrcTr2wzOGDbAAAAAD4C7M548VV9XK5XCarAQCBjsI4EEC2lpoXxscNivduIgAAAF42wmTOeGVdsyrrmnyQDQAAAAB/kGlSGHc0tam63rjrJgAg8FEYBwKIWcf4gPgopdqifJANAACA92SZFMYlusYBAACAYJbRP8Y0Xsx26gAQlCiMAwGirqlVuyrqDPGx6fHeTwYAAMDLRg6wmcZ3UBgHAAAAgpZZx7gkFVU1eDkTAIA/oDAOBIiCfTUyG43DfHEAABAMzkjqo/BQ46832w/U+iAbAAAAAP4gk45xAMBxKIwDAcJsG3WJwjgAAAgOYSFWDUuJNcTZSh0AAAAIXvHR4eoXE26IF1EYB4CgRGEcCBBbS2sMscgwq4anms/bBAAACDRmc8ZLDzeq9kirD7IBAAAA4A/M5owXV7OVOgAEIwrjQABwOl36xKRjfPTAeIWF8I85AAAIDiPszBkHAAAA4Mlszvi+w41qbmv3QTYAAF+iYgYEgC8r61XX3GaIs406AAAIJiNNOsYlqbCMOeMAAABAsDLrGHe6pL2HGn2QDQDAlyiMAwGgo/ni49IpjAMAgOAxLCVOVosxzpxxAAAAIHiZdYxLUlElc8YBINhQGAcCQIeFcTrGAQBAEIkKDzF96EXHOAAAABC8MjoojDNnHACCD4VxIABsLTUWxjMSY5QQE+6DbAAAAHxn5ADjnPHdlfU60sL8QAAAACAYpfWNUliIcWspOsYBIPhQGAd6ucMNLSox+XYj3eIAACAYZZnMGXe6pM/L2U4dAAAACEahIVYN6mecM15ExzgABB0K40Avt7WDbdSzKYwDAIAglGU3doxLzBkHAAAAgllmf2NhvLiyXi6XywfZAAB8hcI40Mvlm2yjLknj0imMAwCA4DPCpGNcYs44AAAAEMzM5ozXNbepqr7ZB9kAAHyFwjjQy+WbdIzHRoTqzCTjzR4AAIFi6dKlOueccxQbG6ukpCRdfvnl2rVrl8eaSZMmyWKxeLxuuukmH2UMb7FFhSktIcoQp2McAAAACF6ZJoVxSSqqZDt1AAgmFMaBXqy13alP99UY4mMH9ZXVavF+QgAAeMnGjRu1cOFCbdmyRevXr1dra6umTJmihgbPhxo33nijDh486H4tW7bMRxnDm0aabKf++cE6tbY7fZANAAAAAF/LMNlKXZKKquq9nAkAwJdCfZ0AgFO3o8yh5jbjA95stlEHAAS4tWvXerxftWqVkpKSlJ+fr4kTJ7rj0dHRSklJ6dQ1m5ub1dz83230HA46jHurLHuc/r293CPW0u7U7sp6DU8132odAAAAQODKTDTvGC+uomMcAIIJHeNAL7a1g/ni2YMojAMAgktt7dH50QkJCR7x559/XomJiRo5cqQWL16sxsbGDq+xdOlS2Ww29ystLa1Hc0bPyRpg7BiX2E4dAAAACFa26DAl9gk3xOkYB4DgQmEc6MXM5otbLdLoNPOHwQAABCKn06lbbrlF5557rkaOHOmO/+AHP9Bf/vIXvfPOO1q8eLGee+45/fCHP+zwOosXL1Ztba37tW/fPm+kjx6QZTfvCt9+oNbLmQAAAADwFxkmc8aLqymMA0AwYSt1oBfbalIY/0ZyrGIjw3yQDQAAvrFw4UJt375d7733nkd8/vz57j+fddZZSk1N1cUXX6yioiJlZmYarhMREaGIiIgezxc9Lyk2Uv1jI1RV1+wR30HHOAAAABC0MvvH6MOSwx6x/V8dUVNruyLDQnyUFQDAm+gYB3qpspojKqttMsTZRh0AEEwWLVqkN954Q++8844GDhx4wrXjx4+XJO3evdsbqcHHRpp0je846JDT6fJBNgAAAAB8LdOkY9zlkvYcYs44AAQLCuNAL8V8cQBAMHO5XFq0aJFeeeUVvf322xoyZMhJzykoKJAkpaam9nB28AdZduNomfrmNu093PGceQAAAACBK6N/jGm8qJLCOAAEC7ZSB3qprXtrTOMUxgEAwWDhwoVas2aN/vGPfyg2Nlbl5eWSJJvNpqioKBUVFWnNmjW65JJL1K9fP23btk233nqrJk6cqFGjRvk4e3jDyAHmc8YLy2o1JNH8gRgAAACAwGXWMS5JxVXMGQeAYEHHONBL5Zt0jCf2CVd6QrQPsgEAwLtWrFih2tpaTZo0Sampqe7Xiy++KEkKDw/XW2+9pSlTpmjYsGG67bbbNGvWLL3++us+zhzeYtYxLknbDzBnHAAAAAhGA/tGKzzEWBIpojAOAEGDjnGgF2pqbVfhgVpDfFx6X1ksFh9kBACAd7lcJ54TnZaWpo0bN3opG/ijgX2jFBcZKkdTm0e8sMx4DwUAAAAg8IVYLRqcGK0vKjwL4cXVbKUOAMGCjnGgF9q2v1ZtTmNBYBzbqAMAAEiSLBaLadf4jjLHSb9YAQAAACAwZSQat1MvqqzndwQACBIUxoFeKH+vcRt1ifniAAAAx8uyG+eMH2poUbmjyQfZAAAAAPC1zKQYQ6yhpV2Vdc0+yAYA4G0UxoFeyKwwHhZi0VkDzGdpAgAABKOsAcbCuCQVMmccAAAACEpmHePS0a5xAEDgozAO9DIul0uflBoL41l2myLDQnyQEQAAgH8aabKVuiRtZ844AAAAEJQykzoojDNnHACCAoVxoJfZe6hRhxpaDHG2UQcAAPCU0b+PIsOMv/IUltExDgAAAASjjP7GrdQlOsYBIFhQGAd6mY7mi49LpzAOAABwvBCrRcNTjdup76AwDgAAAASluMgw9Y+NMMSL6RgHgKBAYRzoZfJNtlGXpHGD4r2bCAAAQC+QZTcWxg/UHNFXJjvwAAAAAAh8GYnGrnE6xgEgOFAYB3qZrSYd4wPio5Rqi/JBNgAAAP4tq4M542ynDgAAAAQnsznjZbVHdKSl3QfZAAC8icI40IvUNbVqV0WdIT6O+eIAAACmRnZQGN9eVuvlTAAAAAD4g8z+xsK4yyWVsJ06AAQ8CuNAL1Kwr0YulzGenR7v9VwAAAB6g2+k9FGo1WKI0zEOAAAABKeM/sat1CWpuJrt1AEg0FEYB3qRfJNt1CUpe1CClzMBAADoHSJCQ3RmcqwhXkjHOAAAABCUzjDpGJekoko6xgEg0HW5ML5p0ybNnDlTdrtdFotFr776aodrb7rpJlksFj300EMe8cOHD+vaa69VXFyc4uPjNW/ePNXXe34ba9u2bTr//PMVGRmptLQ0LVu2rKupAgHHrDAeGWbVsFTjw14AAAAclWWPM8RKqhvU0Nzmg2wAAAAA+JI9PkrhocbSCB3jABD4ulwYb2ho0OjRo7V8+fITrnvllVe0ZcsW2e12w7Frr71WhYWFWr9+vd544w1t2rRJ8+fPdx93OByaMmWKBg0apPz8fP3+97/XPffcoz/96U9dTRcIGO1OlwpKawzx0QPjFRbC5g8AAAAdMSuMu1zSzoNspw4AQCBZvny5Bg8erMjISI0fP14ffvhhh2uffPJJnX/++erbt6/69u2ryZMnG9Zff/31slgsHq9p06b19McA0MNCrBZlJBq3Uy+qojAOAIEutKsnTJ8+XdOnTz/hmgMHDujmm2/WunXrNGPGDI9jO3fu1Nq1a/XRRx/p7LPPliQ9+uijuuSSS/SHP/xBdrtdzz//vFpaWvT0008rPDxcWVlZKigo0IMPPuhRQD9ec3Ozmpub3e8dDh5yIbB8WVmnOpOupuxBfX2QDQAAQO8xcoDNNF5Y5tDZgxlJAwBAIHjxxReVm5urlStXavz48XrooYc0depU7dq1S0lJSYb1GzZs0DXXXKNvfetbioyM1O9+9ztNmTJFhYWFGjBggHvdtGnT9Mwzz7jfR0REeOXzAOhZGf1j9Hl5nUesuKpBLpdLFovFR1kBAHpat7eZOp1OXXfddbr99tuVlZVlOL5582bFx8e7i+KSNHnyZFmtVn3wwQfuNRMnTlR4eLh7zbEb2a++Mp+xvHTpUtlsNvcrLS2tmz8Z4Ftb99aYximMAwAAnNjw1DiZPdvafoA54wAABIoHH3xQN954o+bOnasRI0Zo5cqVio6O1tNPP226/vnnn9dPfvITjRkzRsOGDdOf//xnOZ1O5eXleayLiIhQSkqK+9W3L89hgECQaTJnvLGlXeWOJh9kAwDwlm4vjP/ud79TaGiofvrTn5oeLy8vN3xLMzQ0VAkJCSovL3evSU5O9lhz7P2xNV+3ePFi1dbWul/79u073Y8C+BWz+eKSNDadX8gAAABOpE9EqIb0M26VWFjGLlMAAASClpYW5efna/Lkye6Y1WrV5MmTtXnz5k5do7GxUa2trUpI8NxNZsOGDUpKStLQoUO1YMECHTp0qMNrNDc3y+FweLwA+KeM/sbfD6SjXeMAgMDVrYXx/Px8Pfzww1q1apXXtxuJiIhQXFycxwsIJFtLjYXxjMQYJcSEm6wGAADA8UaYzBn/oqJOzW3tPsgGAAB0p+rqarW3t5s22nTUZPN1d9xxh+x2u0dxfdq0aXr22WeVl5en3/3ud9q4caOmT5+u9nbz+wd2tAR6D7OOcYk54wAQ6Lq1MP7uu++qsrJS6enpCg0NVWhoqPbu3avbbrtNgwcPliSlpKSosrLS47y2tjYdPnxYKSkp7jUVFRUea469P7YGCCaH6ptVUm38tuI4tlEHAADolCy7cc54m9OlLyt48AUAQLB74IEH9MILL+iVV15RZGSkO3711Vfr0ksv1VlnnaXLL79cb7zxhj766CNt2LDB9DrsaAn0HkMS6RgHgGDUrYXx6667Ttu2bVNBQYH7Zbfbdfvtt2vdunWSpJycHNXU1Cg/P9993ttvvy2n06nx48e712zatEmtra3uNevXr9fQoUOZ44OgtLW0xjTOfHEAAIDOGTnAfEepwjLmjAMA0NslJiYqJCTEtNHmZE02f/jDH/TAAw/ozTff1KhRo064NiMjQ4mJidq9e7fpcXa0BHqP2MgwJcdFGOJ0jANAYOtyYby+vt5d9JakkpISFRQUqLS0VP369dPIkSM9XmFhYUpJSdHQoUMlScOHD9e0adN044036sMPP9T//d//adGiRbr66qtlt9slST/4wQ8UHh6uefPmqbCwUC+++KIefvhh5ebmdt8nB3qRjuaLUxgHAADoHLOOcUnafoDZnwAA9Hbh4eHKzs5WXl6eO+Z0OpWXl6ecnJwOz1u2bJnuu+8+rV27VmefffZJf87+/ft16NAhpaamdkveAHwrI9G4nTod4wAQ2LpcGP/44481duxYjR07VpKUm5ursWPHasmSJZ2+xvPPP69hw4bp4osv1iWXXKLzzjtPf/rTn9zHbTab3nzzTZWUlCg7O1u33XablixZovnz53c1XSAgmM0Xj40M1RkdzMIBAACAp4SYcKXaIg1xOsYBAAgMubm5evLJJ7V69Wrt3LlTCxYsUENDg+bOnStJmj17thYvXuxe/7vf/U533XWXnn76aQ0ePFjl5eUqLy9Xff3RbtH6+nrdfvvt2rJli/bs2aO8vDxddtllOuOMMzR16lSffEYA3Sszybid+oGaI2psafNBNgAAbwjt6gmTJk2Sy+Xq9Po9e/YYYgkJCVqzZs0Jzxs1apTefffdrqYHBJzWdqc+3VdjiI9L7yur1eL9hAAAAHqpLLtNB2ubPGI7D9ap3elSCPdVAAD0aldddZWqqqq0ZMkSlZeXa8yYMVq7dq2Sk5MlSaWlpbJa/9sjtGLFCrW0tOi73/2ux3Xuvvtu3XPPPQoJCdG2bdu0evVq1dTUyG63a8qUKbrvvvsUEWHcfhlA72PWMS5JJdUNHe44BQDo3bpcGAfgXTvKHGpucxri49LZRh0AAKArsuxxemun5+zRI63tKqmu1xlJsT7KCgAAdJdFixZp0aJFpsc2bNjg8d6smed4UVFRWrduXTdlBsAfZSaZF8aLqiiMA0Cg6vJW6gC8i/niAAAA3WPkAPOHW4VlzBkHAAAAgk1GonErdUkqrqr3ciYAAG+hMA74uXyT+eJWizQ6jW8tAgAAdEWWPc40vv0Ac8YBAACAYDMgPkoRocYSSVFVgw+yAQB4A4VxwM99YtIxPjQlTrGRYT7IBgAAoPdKtUWqb7TxHoqOcQAAACD4WK0WDTHpGi+qpGMcAAIVhXHAj5XVHFFZbZMhnj0o3vvJAAAA9HIWi8V0O/XtB2rlcrl8kBEAAAAAXzKbM15S3SCnk98PACAQURgH/NhWk23UJeaLAwAAnKoRJtupO5ratP+rIz7IBgAAAIAvZZp0jB9pbddBh7FZCQDQ+1EYB/xYvsk26pI0Lp3COAAAwKkYaTd2jEtspw4AAAAEI7OOcUkqrmI7dQAIRBTGAT+21aQwntgnXOkJ0T7IBgAAoPfLMukYl6TCslovZwIAAADA1zISzQvjzBkHgMBEYRzwU02t7aadS+PS+8pisfggIwAAgN5vcL8YxYSHGOJ0jAMAAADBJ6O/cSt1SSqubvByJgAAb6AwDvipbftr1eZ0GeLMFwcAADh1VqvFdM749gN0jAMAAADBJiYiVClxkYZ4EVupA0BAojAO+KmO5otTGAcAADg9WSZzxivrmlVV1+yDbAAAAAD4UmaSsWu8uIqOcQAIRBTGAT9lVhgPC7Fo5ADjg1wAAAB0HnPGAQAAABxjNmf8YG2TGprbfJANAKAnURgH/JDL5dLWUmNhPMtuU2SYcSYmAAAAOs+sY1xizjgAAAAQjDI7mDNewpxxAAg4FMYBP7TnUKMON7QY4myjDgAAcPrOTO6j8BDjr0J0jAMAAADBJ6O/sWNcYs44AAQiCuOAH9rKfHEAAIAeExZi1dCUWEOcjnEAAAAg+GQmdVQYp2McAAINhXHAD+WbbKMuURgHAADoLmZzxvceapSjqdUH2QAAAADwldS4SEWGGUsldIwDQOChMA74IbOO8QHxUUqOi/RBNgAAAIEna4D5nPEddI0DAAAAQcVqtSgj0dg1XkzHOAAEHArjgJ9xNLVqV0WdIT6ObnEAAIBuY9YxLknbDzBnHAAAAAg2Gf1jDLGS6no5nS4fZAMA6CkUxgE/U1BaI5fJ/VZ2erzXcwEAAAhUw1PiZLUY43SMAwAAAMEns7+xY7yp1amy2iM+yAYA0FMojAN+Jt9kG3VJyh6U4OVMAAAAAldUeIjpw69CCuMAAABA0DHrGJekIrZTB4CAQmEc8DNbS42F8aiwEA1LjfVBNgAAAIHLbDv13VX1ampt90E2AAAAAHzF7EuzklRcVe/lTAAAPYnCOOBH2p0uFZTWGOKj02wKC+EfVwAAgO6UZbcZYu1Olz4vr/NBNgAAAAB8peOOcQrjABBIqLQBfuTLyjrVNbcZ4tmD+vogGwAAgMCWNcDYMS5J2w/UejkTAAAAAL4UHR4quy3SEC9mK3UACCgUxgE/0tF88XHpFMYBAAC6W1aqsWNcYs44AAAAEIwyTLZTp2McAAILhXHAj3RUGB9LYRwAAA9Lly7VOeeco9jYWCUlJenyyy/Xrl27PNY0NTVp4cKF6tevn/r06aNZs2apoqLCRxnDH9miw5SWEGWI7yijYxwAAAAINpkm26lXOJpVb7LDJwCgd6IwDviRrSaF8Yz+MUqICfdBNgAA+K+NGzdq4cKF2rJli9avX6/W1lZNmTJFDQ3/3ebu1ltv1euvv66XXnpJGzduVFlZma688kofZg1/ZNY1vrO8Tq3tTh9kAwAAAMBXzDrGJamYrnEACBihvk4AwFGH6pu151CjIZ5NtzgAAAZr1671eL9q1SolJSUpPz9fEydOVG1trZ566imtWbNGF110kSTpmWee0fDhw7VlyxZNmDDBF2nDD2XZ47S2sNwj1tLmVFFVvYalmM8gBwAAABB4MjssjDdo1MB47yYDAOgRdIwDfmJraY1pPHsQhXEAAE6mtvbo1tcJCQmSpPz8fLW2tmry5MnuNcOGDVN6ero2b95seo3m5mY5HA6PFwLfyAHmc8a3H+C/fwAAACCYZJhspS4xZxwAAgmFccBPdDRffByFcQAATsjpdOqWW27Rueeeq5EjR0qSysvLFR4ervj4eI+1ycnJKi8vN7nK0bnlNpvN/UpLS+vp1OEHsuzmXeGFzBkHAAAAgkpKXKSiw0MM8eKqBpPVAIDeiMI44CfM5ovHRobqjA628AEAAEctXLhQ27dv1wsvvHBa11m8eLFqa2vdr3379nVThvBnSXGR6h8bYYgXltExDgAAAAQTq9WiIYnGrnE6xgEgcFAYB/xAS5tTn+6vMcTHpfeV1WrxfkIAAPQSixYt0htvvKF33nlHAwcOdMdTUlLU0tKimpoaj/UVFRVKSUkxvVZERITi4uI8XggOZl3jO8occjpdPsgGAAAAgK+YzRkvqW5QO78bAEBAoDAO+IGdBx1qbnMa4swXBwDAnMvl0qJFi/TKK6/o7bff1pAhQzyOZ2dnKywsTHl5ee7Yrl27VFpaqpycHG+nCz9nVhivb25T6eFGH2QDAAAAwFfMCuPNbU6V1RzxQTYAgO4W6usEAHQ8X5zCOAAA5hYuXKg1a9boH//4h2JjY91zw202m6KiomSz2TRv3jzl5uYqISFBcXFxuvnmm5WTk6MJEyb4OHv4m5F2m2m8sMyhwSZbKQIAAAAITBn9ze//i6rqlZYQ7eVsAADdjY5xwA/klxoL41aLNDot3vvJAADQC6xYsUK1tbWaNGmSUlNT3a8XX3zRveaPf/yjvvOd72jWrFmaOHGiUlJS9PLLL/swa/irrA4K49vLar2cCQAAAABfMusYl6SiqgYvZwIA6Al0jAN+YKtJx/jQlDj1ieAfUQAAzLhcJ5/vFhkZqeXLl2v58uVeyAi9WVpClGIjQ1XX1OYRLyxz+CgjAAAAAL4wpIMdo4qr6r2cCQCgJ9AxDvhYWc0RHaxtMsSzB8V7PxkAAIAgZLFYTOeMFx6o7dSXMAAAAAAEhqjwEA2IjzLEiyiMA0BAoDAO+BjzxQEAAHzPbDv1Qw0tqnA0+yAbAAAAAL5iNme8mK3UASAgUBgHfGyryXxxScpOT/ByJgAAAMFr5ABjx7gkFTJnHAAAAAgqZnPGK+uaVdfU6oNsAADdicI44GNm88UT+0QoLcG4ZQ8AAAB6hlnHuCRtP8CccQAAACCYZJp0jEt0jQNAIKAwDvjQkZZ2FZYZH7aOS4+XxWLxQUYAAADBKSMxRhGhxl+P6BgHAAAAgotZx7jEnHEACAQUxgEf2ra/Rm1OlyHOfHEAAADvCg2xaniqcTt1sy8xAgAAAAhcGRTGASBgdbkwvmnTJs2cOVN2u10Wi0Wvvvqq+1hra6vuuOMOnXXWWYqJiZHdbtfs2bNVVlbmcY3Dhw/r2muvVVxcnOLj4zVv3jzV13v+S2Xbtm06//zzFRkZqbS0NC1btuzUPiHgx/I7mi9OYRwAAMDrsuzGwviBmiP6qqHFB9kAAICuWr58uQYPHqzIyEiNHz9eH374YYdrn3zySZ1//vnq27ev+vbtq8mTJxvWu1wuLVmyRKmpqYqKitLkyZP15Zdf9vTHAOBjyXERigkPMcTZSh0Aer8uF8YbGho0evRoLV++3HCssbFRW7du1V133aWtW7fq5Zdf1q5du3TppZd6rLv22mtVWFio9evX64033tCmTZs0f/5893GHw6EpU6Zo0KBBys/P1+9//3vdc889+tOf/nQKHxHwX1v31hhiYSEWjRxgPuMSAAAAPaeje7AdB+kaBwDA37344ovKzc3V3Xffra1bt2r06NGaOnWqKisrTddv2LBB11xzjd555x1t3rxZaWlpmjJlig4cOOBes2zZMj3yyCNauXKlPvjgA8XExGjq1Klqamry1scC4AMWi8W0a5yOcQDo/Swul8u4j3NnT7ZY9Morr+jyyy/vcM1HH32kb37zm9q7d6/S09O1c+dOjRgxQh999JHOPvtsSdLatWt1ySWXaP/+/bLb7VqxYoV+/etfq7y8XOHh4ZKkX/7yl3r11Vf1+eefdyo3h8Mhm82m2tpaxcUZOz8AX3O5XMq+/y0d/loH0tj0eL3yk3N9lBUAAF0TyPdcgfzZYG7b/hpd+tj/GeKLpw/Tjy/I9EFGAAAEvu665xo/frzOOeccPfbYY5Ikp9OptLQ03XzzzfrlL3950vPb29vVt29fPfbYY5o9e7ZcLpfsdrtuu+02/fznP5ck1dbWKjk5WatWrdLVV1/ttc8GwPtueeETvVrguRNueIhVO++bphCrxUdZAQDMdOWeq8dnjNfW1spisSg+Pl6StHnzZsXHx7uL4pI0efJkWa1WffDBB+41EydOdBfFJWnq1KnatWuXvvrKfOvp5uZmORwOjxfgz/YcajQUxSUpO51t1AEAAHzhG8mxpg+5mDMOAIB/a2lpUX5+viZPnuyOWa1WTZ48WZs3b+7UNRobG9Xa2qqEhARJUklJicrLyz2uabPZNH78+A6vyfNJIHCYdYy3tDu1/6tGH2QDAOguPVoYb2pq0h133KFrrrnGXaEvLy9XUlKSx7rQ0FAlJCSovLzcvSY5OdljzbH3x9Z83dKlS2Wz2dyvtLS07v44QLfK32v+JY9xzBcHAADwiciwEJ2ZZHwAtr2s1gfZAACAzqqurlZ7e7vp88SOniV+3R133CG73e4uhB87ryvX5PkkEDgyTQrjEnPGAaC367HCeGtrq77//e/L5XJpxYoVPfVj3BYvXqza2lr3a9++fT3+M4HT0VFhPJvCOAAAgM9k2Y1zxkuqG9TQ3OaDbAAAgDc88MADeuGFF/TKK68oMjLylK/D80kgcGT0jzGNM2ccAHq3HimMHyuK7927V+vXr/fYzz0lJUWVlZUe69va2nT48GGlpKS411RUVHisOfb+2Jqvi4iIUFxcnMcL8GdbTQrjA+KjlBx36r+AAQAA4PSMHGD8PcLlkj4vZytUAAD8VWJiokJCQkyfJ3b0LPGYP/zhD3rggQf05ptvatSoUe74sfO6ck2eTwKBY0hijCwmo8SL6BgHgF6t2wvjx4riX375pd566y3169fP43hOTo5qamqUn5/vjr399ttyOp0aP368e82mTZvU2trqXrN+/XoNHTpUffvSTYvez9HUqi8q6wxxusUBAAB8y6xjXJK2H6AwDgCAvwoPD1d2drby8vLcMafTqby8POXk5HR43rJly3Tfffdp7dq1Ovvssz2ODRkyRCkpKR7XdDgc+uCDD054TQCBITIsRAPiowxxOsYBoHfrcmG8vr5eBQUFKigokCSVlJSooKBApaWlam1t1Xe/+119/PHHev7559Xe3q7y8nKVl5erpaVFkjR8+HBNmzZNN954oz788EP93//9nxYtWqSrr75adrtdkvSDH/xA4eHhmjdvngoLC/Xiiy/q4YcfVm5ubvd9csCHCkpr5HIZ4xTGAQAAfGt4aqxpvJA54wAA+LXc3Fw9+eSTWr16tXbu3KkFCxaooaFBc+fOlSTNnj1bixcvdq//3e9+p7vuuktPP/20Bg8e7H6GWV9/tOhlsVh0yy236P7779drr72mzz77TLNnz5bdbtfll1/ui48IwMvM5owzYxwAerfQrp7w8ccf68ILL3S/P1asnjNnju655x699tprkqQxY8Z4nPfOO+9o0qRJkqTnn39eixYt0sUXXyyr1apZs2bpkUceca+12Wx68803tXDhQmVnZysxMVFLlizR/Pnzu5ou4JeYLw4AAOCfYiPDNCQxRiXVng+86BgHAMC/XXXVVaqqqtKSJUtUXl6uMWPGaO3atUpOTpYklZaWymr9b4/QihUr1NLSou9+97se17n77rt1zz33SJJ+8YtfqKGhQfPnz1dNTY3OO+88rV279rTmkAPoPTL6x2jjF1Ueser6ZtUeaZUtKsxHWQEATofF5TLrW+39HA6HbDabamtrmecDv3PdUx/o3S+rPWJRYSH67J4pCg3p9gkHAAD0mEC+5wrkz4YTW7hmq/657aBHLCzEosLfTFN4KPdqAAB0p0C+5wrkzwYEg79s2as7X91uiL/yk29pbDoNTgDgL7pyz8VTHcDL2p0ufVJaY4iPTrNRFAcAAPADI03mjLe2u/RFRZ0PsgEAAADgCxn9Y0zjRWynDgC9FlU4wMu+qKhTfXObIc426gAAAP4hy27+7WLmjAMAAADB4wyTGeOSVFxV7+VMAADdhcI44GVbS5kvDgAA4M86LowzZxwAAAAIFv1jI9QnItQQL6IwDgC9FoVxwMvy95oXxsemURgHAADwB/36RCjVFmmIUxgHAAAAgofFYlGmyXbqxWylDgC9FoVxwMu2mhTGM/rHqG9MuA+yAQAAgBmzrvEdZQ61O10+yAYAAACAL2SYbKe+51CD2tqdPsgGAHC6KIwDXlRd36w9hxoN8ex0usUBAAD8yQi7zRA70tqukmq6QwAAAIBgYdYx3tru0v6vjvggGwDA6aIwDniRWbe4xHxxAAAAfzOywznjtV7OBAAAAICvmHWMS8wZB4DeisI44EVbS2tM4xTGAQAA/EvWAGPHuMSccQAAACCYZHZQGGfOOAD0ThTGAS8y6xiPiwzt8AYLAAAAvmG3RapvdJghTsc4AAAAEDwG9YuWxWKM0zEOAL0ThXHAS1ranPp0f40hPm5QX1mtJndXAAAA8BmLxaIskznj2w845HK5fJARAAAAAG+LDAtRWt9oQ5yOcQDonSiMA16y46BDzW1OQ3xcOtuoAwAA+KMskznjtUdadaDmiA+yAQAAAOALGf1jDDE6xgGgd6IwDnhJvsk26hLzxQEAAPxVR3PGtx9gzjgAAAAQLMzGYB5qaFFNY4sPsgEAnA4K44CXmM0Xt1qk0Wnx3k8GAAAAJ2XWMS5JO5gzDgAAAAQNs45xSSpiO3UA6HUojANesrXUWBgflhKnPhGhPsgGAAAAJzOkX4xiwkMM8cIyOsYBAACAYGHWMS5JxWynDgC9DoVxwAvKao7oYG2TIc426gAAAP7LarVoeKqxa3w7HeMAAABA0KBjHAACB4VxwAs6mi8+blC8dxMBAABAl5htp17haFZVXbMPsgEAAADgbf37RCg20rjrJx3jAND7UBgHvKCjwnh2eoKXMwEAAEBXZA2wmcYL6RoHAAAAgoLFYlGGyXbqRRTGAaDXoTAOeIHZfPHEPhFKS4jyQTYAAADoLLOOcYk54wAAAEAwyTTZTr30cKNa250+yAYAcKoojAM97EhLu3aYPDjNHhQvi8Xig4wAAADQWWcmxSo8xPhrk9n9HQAAAIDAlGnSMd7a7tK+w40+yAYAcKoojAM9bNv+GrU5XYZ49qC+PsgGAAAAXREeatU3UowPwbazlToAAAAQNMw6xiWpuKrBy5kAAE4HhXGgh+WbbKMuURgHAADoLbJSjXPG9x5qlKOp1QfZAAAAAPA2sxnjEnPGAaC3oTAO9LCte42F8bAQi7LsxgesAAAA8D8jB5jPGWc7dQAAACA4DOoXLavJVEw6xgGgd6EwDvQgl8ulfJPC+MgBNkWGhfggIwAAAHTViA6+0FhIYRwAAAAIChGhIUpPiDbE6RgHgN6FwjjQg0qqG/RVo3GLzex0tlEHAADoLYanxpp2hxQyZxwAAAAIGmbbqVMYB4DehcI40IO2ltaYxpkvDgAA0HtEh4eaPgQrPEDHOAAAABAsMvvHGGJfNbbqcEOLD7IBAJwKCuNADzLbRl2SxlEYBwAA6FWy7MY547ur6tXU2u6DbAAAAAB4m9mXZSWpmK5xAOg1KIwDPWirSWF8YN8oJcdF+iAbAAAAnKqRJnPG250u7Sqv80E2AAAAALwts8PCeIOXMwEAnCoK40APqT3Sqi8qjQ9KxzFfHAAAoNcx6xiXpO3MGQcAAACCQobJVuoSc8YBoDehMA70kIJ9NXK5jHHmiwMAAPQ+IzoojBeWMWccAAAACAb9YsJliwozxIvoGAeAXoPCONBDOpovTmEcAACg94mPDtfAvlGGeOEBOsYBAACAYGCxWEy7xpkxDgC9B4VxoId8UmosjEeFhWhYSqwPsgEAILBs2rRJM2fOlN1ul8Vi0auvvupx/Prrr5fFYvF4TZs2zTfJImCYbaf+eXmd2tqdPsgGAAAAgLeZzRkvPdyoVn4nAIBegcI40APanS59UlpjiI9Ji1doCP/YAQBwuhoaGjR69GgtX768wzXTpk3TwYMH3a+//vWvXswQgWik3WaINbc52ToRAAAACBJmHeNtTpf2Hmr0QTYAgK4K9XUCQCD6oqJO9c1thvi4QfHeTwYAgAA0ffp0TZ8+/YRrIiIilJKS0ulrNjc3q7m52f3e4WB2NDxlDTCfM779QK2GsisQAAAAEPDMOsalo9upn5FkfgwA4D9oXQV6APPFAQDwvQ0bNigpKUlDhw7VggULdOjQoROuX7p0qWw2m/uVlpbmpUzRW2SZdIxLUmEZX6IAAAAAgkGmSce4JHaRAoBegsI40AO2dlAYH5tGYRwAAG+YNm2ann32WeXl5el3v/udNm7cqOnTp6u9vb3DcxYvXqza2lr3a9++fV7MGL1BUmyEEvtEGOLby2p9kA0AAAAAb0tPiFGI1WKIF1fV+yAbAEBXsZU60AO2lhoL45n9Y9Q3JtwH2QAAEHyuvvpq95/POussjRo1SpmZmdqwYYMuvvhi03MiIiIUEWEsegLHWCwWZdnjtPGLKo/4zjKHnE6XrCYPyAAAAAAEjvBQq9ITolVS7dkhXkRhHAB6BTrGgW5WXd+sPYcaDXG2UQcAwHcyMjKUmJio3bt3+zoV9HIjTeaM1zW3ad9Xxvs/AAAAAIHHbDv1oqoGuVwuH2QDAOgKCuNAN+toG3UK4wAA+M7+/ft16NAhpaam+joV9HIdzRnffoA54wAAAEAwyOjfxxCrPdKqww0tPsgGANAVFMaBbpZvso26JI1LpzAOAEB3qa+vV0FBgQoKCiRJJSUlKigoUGlpqerr63X77bdry5Yt2rNnj/Ly8nTZZZfpjDPO0NSpU32bOHq9LLuxY1ySCpkzDgAAAAQFs45xSSr+2vbqAAD/Q2Ec6GZmHeNxkaHKNPkmIQAAODUff/yxxo4dq7Fjx0qScnNzNXbsWC1ZskQhISHatm2bLr30Un3jG9/QvHnzlJ2drXfffZcZ4jht6QnRio0MNcS3l9ExDgAAAAQDs45xSSqqZM44APg7CuNAN2ppc+rT/cZuoXGD+spqtfggIwAAAtOkSZPkcrkMr1WrVikqKkrr1q1TZWWlWlpatGfPHv3pT39ScnKyr9NGALBYLBqRauwa31FWy0xBAAB8bPny5Ro8eLAiIyM1fvx4ffjhhx2uLSws1KxZszR48GBZLBY99NBDhjX33HOPLBaLx2vYsGE9+AkA9AYdNUDRMQ4A/o/CONCNdhx0qKXNaYhns406AABAwBg5wDhnvLq+RZV1zT7IBgAASNKLL76o3Nxc3X333dq6datGjx6tqVOnqrKy0nR9Y2OjMjIy9MADDyglJaXD62ZlZengwYPu13vvvddTHwFAL5EQE6746DBDnI5xAPB/XS6Mb9q0STNnzpTdbpfFYtGrr77qcdzlcmnJkiVKTU1VVFSUJk+erC+//NJjzeHDh3XttdcqLi5O8fHxmjdvnurrPf+lsW3bNp1//vmKjIxUWlqali1b1vVPB3hZvsk26pKUPYjCOAAAQKDoaM749gPMGQcAwFcefPBB3XjjjZo7d65GjBihlStXKjo6Wk8//bTp+nPOOUe///3vdfXVV59w3E5oaKhSUlLcr8TExA7XNjc3y+FweLwABCazrnE6xgHA/3W5MN7Q0KDRo0dr+fLlpseXLVumRx55RCtXrtQHH3ygmJgYTZ06VU1NTe411157rQoLC7V+/Xq98cYb2rRpk+bPn+8+7nA4NGXKFA0aNEj5+fn6/e9/r3vuuUd/+tOfTuEjAt5jNl/capFGp8V7PxkAAAD0iCy7sWNckgqZMw4AgE+0tLQoPz9fkydPdsesVqsmT56szZs3n9a1v/zyS9ntdmVkZOjaa69VaWlph2uXLl0qm83mfqWlpZ3WzwbgvzISYwyx0sONpruJAgD8R5cL49OnT9f999+vK664wnDM5XLpoYce0p133qnLLrtMo0aN0rPPPquysjJ3Z/nOnTu1du1a/fnPf9b48eN13nnn6dFHH9ULL7ygsrIySdLzzz+vlpYWPf3008rKytLVV1+tn/70p3rwwQdP79MCPcjlcunjvYcN8WEpcYqJCPVBRgAAAOgJmf1jFBFq/FWqsIyOcQAAfKG6ulrt7e1KTk72iCcnJ6u8vPyUrzt+/HitWrVKa9eu1YoVK1RSUqLzzz9fdXV1pusXL16s2tpa92vfvn2n/LMB+LfMJGPHeLvTpdLDdI0DgD/r1hnjJSUlKi8v9/h2ps1m0/jx493fzty8ebPi4+N19tlnu9dMnjxZVqtVH3zwgXvNxIkTFR4e7l4zdepU7dq1S199Zb5VNVsVwdfKaptU4TDOlWQbdQAAgMASGmLVsFTjdurbD/A7CAAAgWT69On63ve+p1GjRmnq1Kn617/+pZqaGv3tb38zXR8REaG4uDiPF4DAZNYxLkm7KymMA4A/69bC+LFvYJ7o25nl5eVKSkryOB4aGqqEhASPNWbXOP5nfB1bFcHXzLZRlyiMAwAABCKzOeMHao6oprHFB9kAABDcEhMTFRISooqKCo94RUWFUlJSuu3nxMfH6xvf+IZ2797dbdcE0DuZdYxLUnF1vZczAQB0RbcWxn2JrYrga/kUxgEAAILGSOaMAwDgN8LDw5Wdna28vDx3zOl0Ki8vTzk5Od32c+rr61VUVKTU1NRuuyaA3ik9IVqhVoshXkTHOAD4tW4tjB/7BuaJvp2ZkpKiyspKj+NtbW06fPiwxxqzaxz/M76OrYrga1tLjYXx/rERGtg3ygfZAAAAoCeZdYxLzBkHAMBXcnNz9eSTT2r16tXauXOnFixYoIaGBs2dO1eSNHv2bC1evNi9vqWlRQUFBSooKFBLS4sOHDiggoICj27wn//859q4caP27Nmj999/X1dccYVCQkJ0zTXXeP3zAfAvYSFWpfeLNsTpGAcA/9athfEhQ4YoJSXF49uZDodDH3zwgfvbmTk5OaqpqVF+fr57zdtvvy2n06nx48e712zatEmtra3uNevXr9fQoUPVty/dt/A/jS1tpt1B49LjZbEYvzkIAACA3m1oSqxCTDpE6BgHAMA3rrrqKv3hD3/QkiVLNGbMGBUUFGjt2rXu8YylpaU6ePCge31ZWZnGjh2rsWPH6uDBg/rDH/6gsWPH6oYbbnCv2b9/v6655hoNHTpU3//+99WvXz9t2bJF/fv39/rnA+B/MhKN26kXVdbL5XL5IBsAQGeEdvWE+vp6j29OlpSUqKCgQAkJCUpPT9ctt9yi+++/X2eeeaaGDBmiu+66S3a7XZdffrkkafjw4Zo2bZpuvPFGrVy5Uq2trVq0aJGuvvpq2e12SdIPfvAD/eY3v9G8efN0xx13aPv27Xr44Yf1xz/+sXs+NdDNtu2vVbvTeMPDNuoAAACBKTIsRGcm9dHn5XUe8e0H6BgHAMBXFi1apEWLFpke27Bhg8f7wYMHn7R49cILL3RXagACUGZSjN7a6RlzNLXpUEOLEvtE+CYpAMAJdbkw/vHHH+vCCy90v8/NzZUkzZkzR6tWrdIvfvELNTQ0aP78+aqpqdF5552ntWvXKjIy0n3O888/r0WLFuniiy+W1WrVrFmz9Mgjj7iP22w2vfnmm1q4cKGys7OVmJioJUuWaP78+afzWYEew3xxAACA4DPCHmcojBdXN6ixpU3R4V3+VQsAAABAL5Jp0jEuHe0apzAOAP6py09rJk2adMJvU1osFt1777269957O1yTkJCgNWvWnPDnjBo1Su+++25X0wN84hOT+eLhIVZl2W0+yAYAAADeMNJu08tbD3jEXC5p50GHsgcl+CgrAAAAAN6QmRRjGi+ubtD4jH5ezgYA0BndOmMcCEYul8u0Y3zkgDhFhoX4ICMAAAB4Q5Y9zjTOnHEAAAAg8JnNGJeOdowDAPwThXHgNJVUN+irxlZDnG3UAQAAAtuIjgrjByiMAwAAAIGub0y4EmLCDfHi6gYfZAMA6AwK48Bp6mi++Lh0CuMAAACBLDYyTIP7RRvi28tqfZANAAAAAG/LSDRup15URcc4APgrCuPAadpqMl9cksbRMQ4AABDwsuw2Q+yLijq1tDl9kA0AAAAAb8rsb9xOfd/hRjW3tfsgGwDAyVAYB06TWcf4wL5RSo6L9EE2AAAA8KasAcbt1FvbXfqios4H2QAAAADwpoz+xo5xp0vae6jRB9kAAE6GwjhwGmqPtOrLSuPWOMwXBwAACA5mHeOStKOMOeMAAABAoDPrGJekIpNnxgAA36MwDpyGgn01crmMcQrjAAAAwSHLbuwYl6RC5owDAAAAAc+sY1ySiqsbvJwJAKAzKIwDp8FsG3VJGpdOYRwAACAYJPaJUIrJCJ3tdIwDAAAAAS8tIVphIRZDnI5xAPBPFMaB07DVpDAeFRaiYSmxPsgGAAAAvmDWNb7zoEPtTpOthQAAAAAEjLAQq9ITog3xIjrGAcAvURgHTlG706VPSo2F8TFp8QoN4R8tAACAYJE1wDhnvLGlXSU8DAMAAAACntmc8eLKernMZnACAHyK6h1wir6oqFNDS7shznxxAACA4MKccQAAACB4ZZgUxuua21RV3+yDbAAAJ0JhHDhFHc0XpzAOAAAQXDoqjO9gzjgAAAAQ8DL7x5jGiyrZQQoA/A2FceAUmc0Xl6Sx6fHeTQQAAAA+NSA+SvHRYYb4djrGAQAAgICXmWTsGJek4up6L2cCADgZCuPAKco3mS+e2T9G8dHhPsgGAAAAvmKxWEy7xgvLHMwVBAAAAAJcZqJ5YZyOcQDwPxTGgVNQVdesvYcaDXG2UQcAAAhOI+02Q6ymsVVltU0+yAYAAACAt9iiw5TYx9gsRcc4APgfCuPAKdhq0i0uURgHAAAIViM6mDO+/QDbqQMAAACBLsOka7yoisI4APgbCuPAKaAwDgAAgONlmXSMS0e3UwcAAAAQ2DKTYgyx/V8dUVNruw+yAQB0hMI4cAq27jUWxm1RYabfDAQAAEDgG5IYo+jwEEO8kI5xAAAAIOCZPRd2uaQ9h5gzDgD+hMI40EUtbU59ut/4gHNcerysVosPMgIAAICvhVgtGp5q3E6djnEAAAAg8Jl1jEtScRWFcQDwJxTGgS4qLKtVS5vTEB+XzjbqAAAAwWykyZzxckeTquubfZANAAAAAG/paCfRokrmjAOAP6EwDnRRvsk26hLzxYH/396dx0dZ3X0f/85MVkIWICQhECCJKFvYMUZcasltQG4LymPFxkLRB3pTUDGtFixLFSSCaFMEofi0grfgVpVaVCyNVaogSyCy7yBrNiAJCWSdef6gThvnioLMzJXMfN6v17yEc66ZfKcXffFjfnPOAQDA33HOOAAAAOCfOrQKVZDNtd1yuIQV4wDQlNAYB67QtmOlLmNWi9Q7IcrrWQAAANB0dDdYMS5d2nEIAAAAgO8KsFnVqU0Ll/FDxawYB4CmhMY4cAUcDoe2fHXWZbxbuwiFBQeYkAgAAABNxbWx4Qq0WVzGd51kxTgAAADg65Lbum6nfri4Ug6Hw4Q0AAAjNMaBK3CqrEqF5a5nRLKNOgAAAIICrLo2NtxlnBXjAAAAgO9LahvmMlZRXaei866fJwMAzEFjHLgCjZ0v3q8jjXEAAABIPQ3OGT965oLOV9WakAYAAACAtxitGJfYTh0AmhIa48AV2NpIY5wV4wAAAJCkHu2NzxnffYrt1AEAAABfZrRiXJIOFVd6OQkAoDE0xoErYLRivG14sDq0CjUhDQAAAJqaHvHGjfFdNMYBAAAAn5bUyIrxw6wYB4Amg8Y4cJku1NRp92nXDzT7d2wli8ViQiIAAAA0Nd3aRcioNNzJOeMAAACAT4sMDVR0y2CXcVaMA0DTQWMcuEzbT5Sp3u5wGWcbdQAAAHytRVCAkqJdt1BkK3UAAADA9yUbbKfOinEAaDpojAOXyWgbdUnqR2McAAAA/6Fn+0iXsQNFFaqqrTchDQAAAABvMdpO/WTpRf4tAABNBI1x4DJtNWiMB9ms6tne+BxJAAAA+Cejc8br7Q7tKzhvQhoAAAAA3mK0YtzhkI6UsJ06ADQFNMaBy+BwOLT1mGtjvGf7CAUH2ExIBAAAgKaqR7zrinFJ2sV26gAAAIBPSzZYMS5Jh9hOHQCaBBrjwGU4UlKpcxdqXcY5XxwAAADfZLRiXJJ2nSrzchIAAAAA3tRYY/xwMSvGAaApoDEOXIbGzhenMQ4AAIBvimoRpPZRoS7jO1kxDgAAAPi09q1CFRTg2nZhxTgANA0BZgdA8+NwOLTuQIk2HTmjqlp7gznLf/7a0vB5lm8MWBr9jWT5xsB/PvUbl7r+nCt47jef3Fj+dfuLv/lMSVK/jjTGAQAww7p16/Tss88qLy9Pp0+f1rvvvqsRI0Y45x0Oh2bOnKmXXnpJpaWlGjRokBYvXqwuXbqYFxp+pUd8hE6WXmwwtvd0uerq7Qqw8f1kAAAAwBfZrBYltgnTvsLzDcZZMQ4ATQONcVyx7A/3aum6w2bHMF1C61DFRISYHQMAAL9UWVmp3r1764EHHtDdd9/tMj9v3jwtWLBAy5cvV2JioqZPn66MjAzt3r1bISH8/Q3P69k+Un/bXdhgrLrOrkPFlbouLtykVAAAAAA8LamtUWO8Qg6Hw2XxGADAu2iM44r8fXchTfF/YbU4AADmGTp0qIYOHWo453A4lJOTo2nTpmn48OGSpFdeeUWxsbFatWqVRo0a5c2o8FPfds44jXEAAADAdxmdM15ZU6/C8mrFRfJFbQAwE3v44bKdr6rVtFU7zY7RZHC+OAAATdORI0dUUFCg9PR051hkZKRSU1O1YcOGRp9XXV2t8vLyBg/g++rZPtJwfBfnjAMAAAA+LaltmOE454wDgPlojOOyzVuzTwXlVWbHaBJCAq0altLO7BgAAMBAQUGBJCk2NrbBeGxsrHPOSHZ2tiIjI52PhIQEj+aEb4sJD1Z0yyCX8Z0ny0xIAwCAf1i0aJE6d+6skJAQpaamatOmTY1eu2vXLo0cOVKdO3eWxWJRTk7OVb8mAEjGK8alS9upAwDMRWMcl2XL0bP63y++MjtGk9CpTQu9NHqA2rQMNjsKAABwo6lTp6qsrMz5OH78uNmR0IxZLBZ1j3ddNb77VLnsdocJiQAA8G1vvPGGsrKyNHPmTG3dulW9e/dWRkaGioqKDK+/cOGCkpKS9MwzzyguLs4trwkA0retGK/0chIAwDdxxji+U3VdvX799nbDuUHXtNH/PpAqi+XS7x3f+Izvmx/5Of7jAte5bz7X8a3z3/e535bpm/PffF2b1aKWwfzfBgCApuzrDzYLCwvVrt2/d3gpLCxUnz59Gn1ecHCwgoP54hvcp2d8hNbtL24wdr66TsfPXVCnNsYflgEAgO/n+eef17hx4zR27FhJ0pIlS/T+++/rT3/6k6ZMmeJy/cCBAzVw4EBJMpz/Pq9ZXV2t6upq5+85mgfwT+EhgYoJD1bR+eoG42ylDgDmo8OH77ToH4cMv80WEmjVnLtSZLVanGMWi8tl3/CdFwAAAFyVxMRExcXFKTc319kILy8v18aNGzVhwgRzw8Gv9DBYMS5dOmecxjgAAO5TU1OjvLw8TZ061TlmtVqVnp6uDRs2eO01s7Oz9eSTT36vnwfAtyS1DXNpjB9mxTgAmM7tW6nX19dr+vTpSkxMVGhoqJKTkzVr1qyGK4UdDs2YMUPt2rVTaGio0tPTdeDAgQavc/bsWWVmZioiIkJRUVF68MEHVVHBN6q8bV/BeS3+5KDhXNZ/XcsHegAAwBQVFRXKz89Xfn6+JOnIkSPKz8/XsWPHZLFYNHnyZM2ePVvvvfeeduzYodGjRys+Pl4jRowwNTf8S8/2EYbju05xzjgAAO5UUlKi+vp6xcbGNhiPjY1VQUGB116To3kAfM3onPGTpRd1oabOhDQAgK+5fcX43LlztXjxYi1fvlw9evTQli1bNHbsWEVGRurhhx+WJM2bN08LFizQ8uXLlZiYqOnTpysjI0O7d+9WSEiIJCkzM1OnT5/W2rVrVVtbq7Fjx2r8+PFauXKluyOjEfV2h3799nbV1rvuYd6zfYQeGJRoQioAAABpy5Ytuu2225y/z8rKkiSNGTNGy5Yt0+OPP67KykqNHz9epaWluummm7RmzRpnrQl4Q0KrFgoPDtD56oYffu08ybaqAAD4Io7mAfC1JIPGuCQdKalsdGcpAIDnub0xvn79eg0fPlzDhg2TJHXu3FmvvfaaNm3aJOnSavGcnBxNmzZNw4cPlyS98sorio2N1apVqzRq1Cjt2bNHa9as0ebNmzVgwABJ0gsvvKA77rhD8+fPV3x8vLtjw8ArG44q/3ipy7jNatHckb0UYHP7hgMAAACX5Qc/+EGDHYm+yWKx6KmnntJTTz3lxVRAQ1arRd3iI7TpyNkG47tOlcnhcMjy3ecQAQCAyxAdHS2bzabCwsIG44WFhYqLi2syrwnAfyS3Nd5p9VAxjXEAMJPbO5s33nijcnNztX//fknSl19+qc8++0xDhw6VdGmby4KCAqWnpzufExkZqdTUVOf5PBs2bFBUVJSzKS5J6enpslqt2rhxo+HPra6uVnl5eYMHvr8T5y7o2Y/2Gc6NvyWJv7wBAACAy9DToG4uqahxOW8QAAB8f0FBQerfv79yc3OdY3a7Xbm5uUpLS2syrwnAfxhtpS5Jh4s5LhYAzOT2FeNTpkxReXm5unbtKpvNpvr6ej399NPKzMyUJOcZPN92Pk9BQYFiYmIaBg0IUOvWrRs9wyc7O1tPPvmku9+OX3I4HJq2aqcu1NS7zHVu00KPDO5iQioAAACg+ekR3/g547ERbO0PAIC7ZGVlacyYMRowYICuv/565eTkqLKyUmPHjpUkjR49Wu3bt1d2drYkqaamRrt373b++uTJk8rPz1fLli11zTXXXNZrAkBj4qNCFRxgVXWdvcH4oeJKkxIBACQPNMbffPNNrVixQitXrlSPHj2Un5+vyZMnKz4+XmPGjHH3j3OaOnWq82xJSSovL1dCQoLHfp4ve+/LU/pkX7Hh3Jy7UxQSaPNyIgAAAKB56tneeKelXSfL9cOusYZzAADgyt17770qLi7WjBkzVFBQoD59+mjNmjXOxTnHjh2T1frvzTNPnTqlvn37On8/f/58zZ8/X7feeqs++eSTy3pNAGiMzWpRYnSY9hacbzDOinEAMJfbG+OPPfaYpkyZolGjRkmSUlJS9NVXXyk7O1tjxoxxnsFTWFiodu3aOZ9XWFioPn36SJLi4uJUVFTU4HXr6up09uzZRs/wCQ4OVnBwsLvfjt85W1mjJ/+623Bu1MAE3Zgc7eVEAAAAQPOV3DbMcKXIzlNlJiUCAMB3TZo0SZMmTTKc+7rZ/bXOnTvL4XBc1WsCwLdJbtvSoDFeKbvdIavVYlIqAPBvbj9j/MKFCw2+fSlJNptNdvulD4ISExMVFxfX4Hye8vJybdy40Xk+T1pamkpLS5WXl+e85uOPP5bdbldqaqq7I+M/zF69W2cra1zG24YHa+rQbiYkAgAAAJqvAJtVXePCXcZ3nSo3IQ0AAAAAb0lqG+YydrG2XgXlVSakAQBIHlgxfuedd+rpp59Wx44d1aNHD23btk3PP/+8HnjgAUmSxWLR5MmTNXv2bHXp0kWJiYmaPn264uPjNWLECElSt27dNGTIEI0bN05LlixRbW2tJk2apFGjRik+Pt7dkfEvn+4v1jvbThrOPfWjHopsEejlRAAAAEDz16N9pL480XCF+IlzF7V03SEFWN3+XeUmKTE6TGnJbTiWCQAAAH4juW1Lw/FDxRWKjwr1choAgOSBxvgLL7yg6dOn6xe/+IWKiooUHx+vn//855oxY4bzmscff1yVlZUaP368SktLddNNN2nNmjUKCQlxXrNixQpNmjRJgwcPltVq1ciRI7VgwQJ3x8W/VFbX6Yl3dhjO3d49VkN6Gm9hDwAAAODb9YiPMByf88FeLycxV++EKC372UC1CgsyOwoAAADgcUYrxqVL26nf3KWtl9MAACQPNMbDw8OVk5OjnJycRq+xWCx66qmn9NRTTzV6TevWrbVy5Up3x0Mjnvvbfp0svegyHh4coKeG95TFwpknAAAAwPfRIz7S7AhNwpfHS/XIG/l6+WcDZeNMRQAAAPi4pG9ZMQ4AMId/7NuHb7Xt2Dm9vP6I4dzUO7opLjLEcA4AAADAd+saF64AGsGSpHX7i/XCxwfMjgEAAAB4XMvgAMVGBLuMHy6uNCENAECiMe73aursmvrODjkcrnPXJ7bWqIEJ3g8FAAAA+JCQQJsyenA00dd+n3tAn+4vNjsGAAAA4HFG54yzYhwAzENj3M8tXXdIewvOu4wHBViVfXeKrKxsAQAAAK7ak8N76KZrosUJRZLDIT3y+jbDo5wAAAAAX2LUGD9dVqXK6joT0gAA3H7GOJqPg0UVWpB70HDukcFdDP/SBgAAAHDlolsG69X/m6ryqlqVX6w1O47XHCiq0LjlW1Rnb7hFVemFWv1ixVa9+fMbFBxgMykdAAAA4FlJbcMMx4+UVKpn+0gvpwEA0Bj3U3a7Q0+8s0M19XaXua5x4Rp/S5IJqQAAAADfFhESqIiQQLNjeE2HVi009Y5umrV6t8vcl8dLNXv1Hs0a0dOEZAAAAIDnNbb47FBxBY1xADABW6n7qdc2H9Omo2ddxq0W6ZmRvRRo448GAAAAgKv3wKDOGpbSznDuf7/4Squ2nfRyIgAAAMA7Glsxfqi40stJAAASjXG/VFBWpWc+2Gs4N3ZQovokRHk3EAAAAACfZbFY9MzIlEY/FJz6zg7tLzzv5VQAAACA58VHhiok0LUNc7i4woQ0AAAa437G4XBo2qqdOl9d5zLXoVWofnn7tSakAgAAAODLwkMCteT+/goNdD1P/GJtvf7nf/N0vsp/zl4HAACAf7BaLUqMdt1OnRXjAGAOGuN+5sOdBfr7nkLDuTl3pahFEMfOAwAAAHC/a2PDlX13iuHc4ZJK/frt7XI4HF5OBQAAAHhWssHOSUdKKmS3U/sCgLfRGPcjZRdqNeMvuwzn7u7XXrdc29bLiQAAAAD4kxF922t0WifDuQ92FOiPnx3xciIAAADAs5Lauq4Yr6q161TZRRPSAIB/ozHuR+Z8sEclFdUu423CgjR9WHcTEgEAAADwN78Z1k29E6IM5575cK82Hz3r3UAAAACABxmtGJekw2ynDgBeR2PcT6w/WKI3thw3nJtxZ3e1CgvyciIAAAAA/ig4wKYXM/upVYtAl7k6u0MTV2xV8XnXL/QCAAAAzVGywYpxSTpUXOHlJAAAGuN+oKq2XlPf3WE4d9t1bfWj3vFeTgQAAADAn7WPCtXvR/WVxeI6V3S+Wg+/tk119XbvBwMAAADcLDGaFeMA0FTQGPcDOX8/oK/OXHAZbxFk0+y7UmQx+jQKAAAAADzolmvbavLgaw3nNhw+o+fW7vdyIgAAAMD9woID1C4yxGWcFeMA4H00xn3czpNleumfhw3nHs+4Tu2jQr2cCAAAAAAueeiH1+jWa9sazi3+5JDW7i70ciIAAADA/Yy2U2fFOAB4H41xH1ZXb9ev396uervDZa5fxyj9NK2z90MBAAAAwL9YrRbl3Nun0S/sZr2Zr6/O8IEhAAAAmrektq7bqReUV6mius6ENADgv2iM+7A/fnZEu06Vu4wH2ix6ZmQv2axsoQ4AAADAXK3CgvRiZj8F2Vz/eXq+qk7/8+pWVdXWm5AMAAAAcA+jFeOSdIRV4wDgVTTGfdTRkko938iZfL/4wTW6Njbcy4kAAAAAwFjvhCjNuLO74dye0+Wa8ZedXk4EAAAAuI/RinGJc8YBwNtojPsgh8OhJ97doeo6u8vcNTEt9Yvbkk1IBQAAAACNy0ztqLv7tjece3PLCb2x+ZiXEwEAAADu0diK8cM0xgHAq2iM+6C38k5o/aEzLuMWizR3ZIqCA2wmpAIAAACAxlksFj19V4qua2R3q+l/2aWdJ8u8nAoAAAC4enERIQoNdP1c/hBbqQOAV9EY9zFF56v09Pt7DOd+ekMn9e/U2suJAAAAAODyhAbZtPj+fmoZHOAyV1Nn14QVeSq7UGtCMgAAAOD7s1othtups5U6AHgXjXEf8+Rfd6vsousHRe0iQ/RYxnUmJAIAAACAy5fUtqXm39PLcO742Yv65Vv5stsdXk4FAAAAXJ0kg+3Uj5RUUtsCgBfRGPcha3cX6v3tpw3nZo/oqfCQQC8nAgAAAIArN6RnO427OdFw7u97irT400NeTgQAAABcnWSDFePVdXadLL1oQhoA8E80xn1EeVWtpq3aYTh3Z+94De4W6+VEAAAAAPD9PT6kqwZ2bmU499zf9mn9wRIvJwIAAAC+P6MV4xLbqQOAN9EY9xHz1uxVYXm1y3hUi0DNvLO7CYkAAAAA4PsLtFm18Cf9FN0y2GXO7pAeem2bCsqqTEgGAAAAXDmjFeOSdKi40stJAMB/0Rj3AZuPntWrXxwznJs2rLvhB0kAAAAA0NTFRoRo4U/6yma1uMydqazRxJVbVVtvNyEZAAAAcGUSo40b44dZMQ4AXkNjvJmrqq3XlLe3G87ddE20RvZr7+VEAAAAAOA+NyS10WMZ1xnO5X11Ttkf7PVyIgAAAODKtQgKUPuoUJdxtlIHAO+hMd7MvfiPg4ZbrYQEWjXnrhRZLK4rKwAAAACgOfn5LUm6vXus4dyfPj+i1dtPeTkRAAAAcOWSDLZTP8xW6gDgNTTGm7G9BeV68ZNDhnO//K/r1LFNCy8nAgAAAAD3s1gsevae3urUyL9xfv3n7TpYxEobAAAANG3JbVu6jBWdr9b5qloT0gCA/6Ex3kzV2x2a8vYO1dkdLnMp7SM1dlBn74cCAAAAAA+JDA3U4sz+Cg5w/WdsZU29Jryap8rqOhOSAQAAAJfHaMW4xKpxAPAWGuPN1PL1R5V/vNRl3Ga1aO7IXgqwcWsBAAAA+Jbu8RGaPaKn4dyBogpNfWeHHA7XLw8DAAAATYHRinGJc8YBwFvonjZDx89e0Py/7TOc+/ktSeoeH+HlRAAAAADgHfcMSNB91ycYzr335Sn97xdfeTkRAAAAcHlYMQ4A5qIx3sw4HA79ZtVOXaipd5lLjA7Tw4O7mJAKAAAAALxn5p091LO98ReCZ63era3Hznk5EQAAAPDd4iJC1CLI5jLOinEA8A4a483MX/JPad3+YsO57LtTFBLo+pcqAAAAAPiSkECbFmf2V0RIgMtcbb1DE1ds1ZmKahOSAQAAAI2zWCyGq8ZZMQ4A3kFjvBk5U1GtJ/+6y3DuvusTdENSGy8nAgAAAABzJLRuoZxRfQznTpdVafIb+aq3c944AAAAmhajc8aPnKmkdgUAL6Ax3ozMfn+Pzl2odRlvGx6sKUO7mZAIAAAAAMzzw66xmnTbNYZz/zxQot/nHvByIgCAmRYtWqTOnTsrJCREqamp2rRp07de/9Zbb6lr164KCQlRSkqKPvjggwbzP/vZz2SxWBo8hgwZ4sm3AMAPJEW7NsZr6uw6ee6iCWkAwL/QGG8mPtlXpHe3nTScmzW8hyJDA72cCAAAAADM9+h/XatB1xjvnrUg94D+sa/Iy4kAAGZ44403lJWVpZkzZ2rr1q3q3bu3MjIyVFRk/PfA+vXrdd999+nBBx/Utm3bNGLECI0YMUI7d+5scN2QIUN0+vRp5+O1117zxtsB4MOSY1y3Upc4ZxwAvIHGeDNQWV2n37y703BuSI84DenZzsuJAAAAAKBpsFktWjCqr+IiQgznH30jX8fPXvByKgCAtz3//PMaN26cxo4dq+7du2vJkiVq0aKF/vSnPxle//vf/15DhgzRY489pm7dumnWrFnq16+fFi5c2OC64OBgxcXFOR+tWrXyxtsB4MOMVoxLNMYBwBtojDcD8/+2TydLXbdRCQ8J0JPDe5iQCAAAoOn77W9/67L1ZdeuXc2OBcAD2rQM1qLMfgqwWlzmSi/UauLKraquqzchGQDAG2pqapSXl6f09HTnmNVqVXp6ujZs2GD4nA0bNjS4XpIyMjJcrv/kk08UExOj6667ThMmTNCZM2cazVFdXa3y8vIGDwD4psToMFlcy1YdKq70fhgA8DM0xpu4bcfOadn6o4ZzT9zRTbGNrIoAAACA1KNHjwZbX3722WdmRwLgIf07tdJvhnUznNt+okxP/XW3lxMBALylpKRE9fX1io2NbTAeGxurgoICw+cUFBR85/VDhgzRK6+8otzcXM2dO1effvqphg4dqvp64y9bZWdnKzIy0vlISEi4yncGwBeFBtkUHxnqMn6YFeMA4HEBZgdA42rq7Jry9g45HK5zqYmtde8AimsAAIBvExAQoLi4OLNjAPCSn93YWXlfndPq7add5lZsPKZ+HVtpZP8OJiQDADRHo0aNcv46JSVFvXr1UnJysj755BMNHjzY5fqpU6cqKyvL+fvy8nKa4wAMJce0dNkllhXjAOB5rBhvwv7w6SHtKzzvMh4UYFX23SmyGmwTCAAAgH87cOCA4uPjlZSUpMzMTB07dqzRa9n6Emj+LBaL5o7spWtijM9t/M2qHdpbwP+3AcDXREdHy2azqbCwsMF4YWFho1+SjIuLu6LrJSkpKUnR0dE6ePCg4XxwcLAiIiIaPADASFJ0mMtYSUW1yi7WmpAGAPyHRxrjJ0+e1P333682bdooNDRUKSkp2rJli3Pe4XBoxowZateunUJDQ5Wenq4DBw40eI2zZ88qMzNTERERioqK0oMPPqiKCv/ZSuRgUYVe+Ni4yH5kcBcltTX+oAcAAACXpKamatmyZVqzZo0WL16sI0eO6Oabb9b5865fPJTY+hLwFWHBAVpyfz+1CLK5zFXV2jXh1a0qr+IDRwDwJUFBQerfv79yc3OdY3a7Xbm5uUpLSzN8TlpaWoPrJWnt2rWNXi9JJ06c0JkzZ9SuXTv3BAfgt5Ib+SIn26kDgGe5vTF+7tw5DRo0SIGBgfrwww+1e/duPffcc2rVqpXzmnnz5mnBggVasmSJNm7cqLCwMGVkZKiqqsp5TWZmpnbt2qW1a9dq9erVWrduncaPH+/uuE2S3e7Q1He2q6be7jLXNS5c429JMiEVAABA8zJ06FDdc8896tWrlzIyMvTBBx+otLRUb775puH1U6dOVVlZmfNx/PhxLycG4C7XxITrmZG9DOeOlFTq8be2y2F0ZhUAoNnKysrSSy+9pOXLl2vPnj2aMGGCKisrNXbsWEnS6NGjNXXqVOf1jzzyiNasWaPnnntOe/fu1W9/+1tt2bJFkyZNkiRVVFToscce0xdffKGjR48qNzdXw4cP1zXXXKOMjAxT3iMA35FssGJckg6znToAeJTbzxifO3euEhIS9PLLLzvHEhMTnb92OBzKycnRtGnTNHz4cEnSK6+8otjYWK1atUqjRo3Snj17tGbNGm3evFkDBgyQJL3wwgu64447NH/+fMXHx7v83OrqalVXVzt/35y3vly56Zg2Hz3nMm61SPP+Ty8F2tgBHwAA4EpFRUXp2muv/datL4ODg72cCoCn/Kh3vLZ+dU7L1h91mVuzq0D/759HNI4vHQOAz7j33ntVXFysGTNmqKCgQH369NGaNWsUGxsrSTp27Jis1n9/pnbjjTdq5cqVmjZtmp544gl16dJFq1atUs+ePSVJNptN27dv1/Lly1VaWqr4+HjdfvvtmjVrFjUjgKvW2IrxQ6wYBwCPcnuH9b333tOAAQN0zz33KCYmRn379tVLL73knD9y5IgKCgqUnp7uHIuMjFRqaqo2bNggSdqwYYOioqKcTXFJSk9Pl9Vq1caNGw1/rq9sfXm67KKe+XCv4dyDNyWqV4co7wYCAADwERUVFTp06BBbXwJ+5Ik7uqlvxyjDuWfW7NXGw2e8GwgA4FGTJk3SV199perqam3cuFGpqanOuU8++UTLli1rcP0999yjffv2qbq6Wjt37tQdd9zhnAsNDdVHH32koqIi1dTU6OjRo1q6dKmz0Q4AVyMmPFgtg13XLbJiHAA8y+2N8cOHD2vx4sXq0qWLPvroI02YMEEPP/ywli9fLkkqKCiQJJciMjY21jlXUFCgmJiYBvMBAQFq3bq185pv8oWtLx0Oh6av2qmK6jqXuYTWoXr0v641IRUAAEDz9Ktf/Uqffvqpjh49qvXr1+uuu+6SzWbTfffdZ3Y0AF4SFGDVi5n91DosyGWu3u7QpNe2qeh8lcEzAQAAAM+xWCxKauu6nTorxgHAs9zeGLfb7erXr5/mzJmjvn37avz48Ro3bpyWLFni7h/VQHBwsCIiIho8mpsPdhTo73uKDOfm3JWiFkFu3/keAADAZ504cUL33XefrrvuOv34xz9WmzZt9MUXX6ht27ZmRwPgRe0iQ7VgVF9ZLK5zxeerNWnlNtXV270fDAAAAH4tua3rdupfnblAbQoAHuT2xni7du3UvXv3BmPdunXTsWPHJElxcXGSpMLCwgbXFBYWOufi4uJUVNSwQVxXV6ezZ886r/E1pRdqNPO9nYZzI/t10M1d+AAXAADgSrz++us6deqUqqurdeLECb3++utKTk42OxYAE9zUJVpZ6cY7cG06clbPfrTPy4kAAADg75KiXVeM19TbdeLcRRPSAIB/cHtjfNCgQdq3r+GHCvv371enTp0kSYmJiYqLi1Nubq5zvry8XBs3blRaWpokKS0tTaWlpcrLy3Ne8/HHH8tutzc4G8iXzPlgj0oqalzG24QFadqwbiYkAgAAAADfMfG2a3TbdcZfOP7DusNas9P42C4AAADAE5JjXFeMS9LhErZTBwBPcXtj/NFHH9UXX3yhOXPm6ODBg1q5cqWWLl2qiRMnSrp0dsbkyZM1e/Zsvffee9qxY4dGjx6t+Ph4jRgxQtKlFeZDhgzRuHHjtGnTJn3++eeaNGmSRo0apfj4eHdHNt3nB0v05pYThnMzf9RDrQzOwwMAAAAAXD6r1aLf3dtHHVqFGs4/9taXOlJS6eVUAAAA8FdGZ4xL0qEialIA8BS3N8YHDhyod999V6+99pp69uypWbNmKScnR5mZmc5rHn/8cT300EMaP368Bg4cqIqKCq1Zs0YhISHOa1asWKGuXbtq8ODBuuOOO3TTTTdp6dKl7o5ruos19Xri3R2Gcz/sGqM7e7XzciIAAAAA8E1RLYK0OLO/gmyu/xQ+X12nCa/m6WJNvQnJAAAA4G86twmTxeI6zopxAPAci8PhcJgdwhPKy8sVGRmpsrIyRUREmB2nUdkf7tEfPj3sMh4WZNParFsVH2W8mgEAAKApaC411/fhy+8N8HevbTqmqe8Yf0F5ZL8Omn9PL1mMPqUEALidL9dcvvzeALjHzfM+1vGzDc8Uv75za735P2kmJQKA5udKai63rxjH5dt5skz/759HDOd+PbQrTXEAAAAA8IBRAxM0sl8Hw7m3t57Q65uPezkRAAAA/FFyW9dzxlkxDgCeQ2PcJLX1dj3+5+2qt7su2O/XMUr3p3YyIRUAAAAA+D6LxaLZI3qqa1y44fzMv+zSjhNlXk4FAAAAf5MU7doYL6moUdmFWhPSAIDvozFukj9+dkS7T5e7jAfaLJo7spesVrbtAwAAAABPCQ2yacn9/RUeHOAyV1Nv14QVeSq9UGNCMgAAAPiL5Jgww/FDrBoHAI+gMW6CoyWV+t3a/YZzE2+7Rl1ijVctAAAAAADcp3N0mOb/uLfh3IlzF/XoG/myG+zyBQAAALiD0YpxSTpURGMcADyBxriXORwOTX1nh6rr7C5zXWJaasIPkk1IBQAAAAD+KaNHnH5+a5Lh3D/2FWvRPw56OREAAAD8RWMrxg+XVHo5CQD4BxrjXvbWlhPacPiMy7jFIj0zspeCA2wmpAIAAAAA//XY7dcpNbG14dzzf9+vfx4o9nI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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import tempfile\n", + "import subprocess\n", + "\n", + "# Generate a random tmp directory name\n", + "tmp_dir = tempfile.mkdtemp()\n", + "output_filename = \"part2.mp4\"\n", + "fps = 10\n", + "# Write files into the tmp directory\n", + "for t in range(len(traces)):\n", + " _make_viz(t,os.path.join(tmp_dir, \"%07d.png\" % t));\n", + "\n", + "subprocess.call(\n", + " [\n", + " \"ffmpeg\",\n", + " \"-hide_banner\",\n", + " \"-loglevel\",\n", + " \"error\",\n", + " \"-y\",\n", + " \"-r\",\n", + " str(fps),\n", + " \"-i\",\n", + " os.path.join(tmp_dir, \"%07d.png\"),\n", + " output_filename,\n", + " ]\n", + ")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Part 3: Multi room uncertainty" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'jnp' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m epsilon \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.03\u001b[39m\n\u001b[1;32m 2\u001b[0m num_rooms \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m3\u001b[39m\n\u001b[0;32m----> 3\u001b[0m line_segments \u001b[38;5;241m=\u001b[39m \u001b[43mjnp\u001b[49m\u001b[38;5;241m.\u001b[39mconcatenate([\n\u001b[1;32m 4\u001b[0m line_segments \u001b[38;5;241m+\u001b[39m jnp\u001b[38;5;241m.\u001b[39marray([(room_w \u001b[38;5;241m+\u001b[39m epsilon) \u001b[38;5;241m*\u001b[39m (i), \u001b[38;5;241m0.0\u001b[39m, (room_w \u001b[38;5;241m+\u001b[39m epsilon) \u001b[38;5;241m*\u001b[39m (i), \u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m0.0\u001b[39m, \u001b[38;5;241m0.0\u001b[39m])\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(num_rooms)\n\u001b[1;32m 6\u001b[0m ])\n\u001b[1;32m 7\u001b[0m world_height \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.5\u001b[39m\n\u001b[1;32m 8\u001b[0m world_mesh \u001b[38;5;241m=\u001b[39m Mesh\u001b[38;5;241m.\u001b[39msqueeze_mesh(jax\u001b[38;5;241m.\u001b[39mvmap(line_segment_to_mesh)(line_segments))\n", + "\u001b[0;31mNameError\u001b[0m: name 'jnp' is not defined" + ] + } + ], + "source": [ + "\n", + "epsilon = 0.03\n", + "num_rooms = 3\n", + "line_segments = jnp.concatenate([\n", + " line_segments + jnp.array([(room_w + epsilon) * (i), 0.0, (room_w + epsilon) * (i), 0.0, 0.0, 0.0, 0.0])\n", + " for i in range(num_rooms)\n", + "])\n", + "world_height = 0.5\n", + "world_mesh = Mesh.squeeze_mesh(jax.vmap(line_segment_to_mesh)(line_segments))\n", + "world_mesh.rr_visualize(\"mesh\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "gt_camera_pose = grid_point_to_pose(jnp.array([1.81, 0.21, 0.1]))\n", + "rgbd = renderer.render_rgbd_from_mesh(world_mesh.transform(gt_camera_pose.inv()))\n", + "\n", + "latent_camera_pose = grid_point_to_pose(jnp.array([1.57, 0.21, 0.1]))\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"rgbd\": rgbd,\n", + " \"camera_pose\": latent_camera_pose,\n", + " \"object_pose_0\": Pose.identity(),\n", + " \"color_variance_0\": 0.2,\n", + " \"depth_variance_0\": 0.05,\n", + " \"outlier_probability_0\": 0.01,\n", + " \"blur\": 100.0,\n", + " }\n", + ")\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "trace = importance_jit(\n", + " key,\n", + " choicemap,\n", + " (\n", + " {\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [world_mesh],\n", + " \"likelihood_args\": likelikood_args,\n", + " },\n", + " ),\n", + ")[0]\n", + "viz_trace(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "key = b3d.split_key(key)\n", + "addresses= Pytree.const((\"color_variance_0\",\"outlier_probability_0\",\"blur\"))\n", + "sweeps = [color_variance_sweep, outlier_probability_sweep, blur_sweep]\n", + "scores = b3d.utils.grid_trace(\n", + " trace,\n", + " addresses,\n", + " sweeps,\n", + ")\n", + "index = jnp.unravel_index(scores.argmax(), scores.shape)\n", + "print(color_variance_sweep[index[0]], outlier_probability_sweep[index[1]], blur_sweep[index[2]])\n", + "\n", + "sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + " jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + ")\n", + "sampled_parameters = jnp.vstack(\n", + " [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + ").T\n", + "print(sampled_parameters[:10])\n", + "trace = b3d.update_choices(trace, key, addresses, *sampled_parameters[0])\n", + "viz_trace(trace)\n", + "# viz_trace(importance_jit(\n", + "# key,\n", + "# trace.get_choices().filter( ~S[\"rgbd\"]),\n", + "# trace.get_args(),\n", + "# )[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "key = b3d.split_key(key)\n", + "grid_noise = (jax.random.uniform(key, base_grid_points.shape) - 0.5) * (high - low) /num\n", + "pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + "poses = trace.get_choices()[\"camera_pose\"] @ pose_grid\n", + "\n", + "scores = b3d.enumerate_choices_get_scores(\n", + " trace, key,\n", + " Pytree.const((\"camera_pose\",)), poses,\n", + ")\n", + "\n", + "\n", + "sampled_indices = jax.random.categorical(key, scores , shape=(5000,))\n", + "\n", + "trace = b3d.update_choices(trace, key, address, poses[sampled_indices[0]])\n", + "viz_trace(trace)\n", + "# viz_trace(importance_jit(\n", + "# key,\n", + "# trace.get_choices().filter( ~S[\"rgbd\"]),\n", + "# trace.get_args(),\n", + "# )[0])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(trace.get_choices()[\"blur\"])\n", + "address = Pytree.const((\"camera_pose\",))\n", + "traces = [trace]\n", + "\n", + "\n", + "\n", + "all_poses = []\n", + "all_scores = []\n", + "key = b3d.split_key(key)\n", + "grid_noise = (jax.random.uniform(key, base_grid_points.shape) - 0.5) * (high - low) /num\n", + "pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + "poses = trace.get_choices()[\"camera_pose\"] @ pose_grid\n", + "\n", + "scores = b3d.enumerate_choices_get_scores(\n", + " trace, key,\n", + " Pytree.const((\"camera_pose\",)), poses,\n", + ")\n", + "all_poses.append(poses)\n", + "all_scores.append(scores)\n", + "\n", + "all_poses = Pose.concatenate_poses(all_poses)\n", + "all_scores = jnp.concatenate(all_scores)\n", + "\n", + "# subplots 2\n", + "fig, ax = plt.subplots(1, 2, figsize=(20, 10))\n", + "ax[0].scatter(\n", + " all_poses.pos[:, 0],\n", + " all_poses.pos[:, 2],\n", + " c=all_scores,\n", + ")\n", + "new_trace = b3d.update_choices(trace, key, address, sampled_poses[0])\n", + "viz_trace(new_trace)\n", + "\n", + "border = 0.2\n", + "ax[0].set_xlim(0.0 - border,3.0 + border)\n", + "ax[0].set_ylim(0.0 - border,1.0 + border)\n", + "ax[0].set_aspect(\"equal\")\n", + "\n", + "sampled_indices = jax.random.categorical(key, all_scores * 0.25 , shape=(5000,))\n", + "sampled_indices_unique, counts = jnp.unique(sampled_indices, return_counts=True)\n", + "# sampled_poses = all_poses[sampled_indices_unique]\n", + "print(counts / counts.sum())\n", + "print(all_poses[sampled_indices_unique].pos)\n", + "sampled_poses = poses[sampled_indices]\n", + "im = ax[1].scatter(\n", + " sampled_poses.pos[:, 0],\n", + " sampled_poses.pos[:, 2],\n", + " # c=counts,\n", + " alpha = 0.005\n", + ")\n", + "ax[1].set_xlim(0.0 - border,3.0 + border)\n", + "ax[1].set_ylim(0.0 - border,1.0 + border)\n", + "# fig.colorbar(im, ax=ax[1])\n", + "ax[1].set_aspect(\"equal\")\n", + "# ax[1].colorbar()\n", + "\n", + "# print(sampled_indices_unique)\n", + "# for (t,i) in enumerate(sampled_indices_unique):\n", + "# new_trace = b3d.update_choices(trace, key, Pytree.const((\"camera_pose\",)), poses[i])\n", + "# print(new_trace.get_choices()[\"camera_pose\"])\n", + "# viz_trace(new_trace,t )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "poses[sampled_indices_unique]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sampled_indices = jax.random.categorical(key, scores * 0.05 , shape=(5000,))\n", + "sampled_poses = poses[sampled_indices]\n", + "plt.scatter(\n", + " sampled_poses.pos[:, 0],\n", + " sampled_poses.pos[:, 2],\n", + " c=\"red\",\n", + " alpha = 0.1\n", + ")\n", + "border = 0.2\n", + "plt.xlim(0.0 - border,3.0 + border)\n", + "plt.ylim(0.0 - border,1.0 + border)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "key = b3d.split_key(key)\n", + "addresses= Pytree.const((\"color_variance_0\",\"outlier_probability_0\",\"blur\"))\n", + "sweeps = [color_variance_sweep, outlier_probability_sweep, blur_sweep]\n", + "scores = b3d.utils.grid_trace(\n", + " trace,\n", + " addresses,\n", + " sweeps,\n", + ")\n", + "index = jnp.unravel_index(scores.argmax(), scores.shape)\n", + "print(color_variance_sweep[index[0]], outlier_probability_sweep[index[1]], blur_sweep[index[2]])\n", + "\n", + "sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + " jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + ")\n", + "sampled_parameters = jnp.vstack(\n", + " [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + ").T\n", + "print(sampled_parameters[:10])\n", + "trace = b3d.update_choices(trace, key, addresses, *sampled_parameters[0])\n", + "viz_trace(importance_jit(\n", + " key,\n", + " trace.get_choices().filter( ~S[\"rgbd\"]),\n", + " trace.get_args(),\n", + ")[0])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(trace.get_choices()[\"blur\"])\n", + "key = b3d.split_key(key)\n", + "address = Pytree.const((\"camera_pose\",))\n", + "traces = [trace]\n", + "\n", + "grid_noise = (jax.random.uniform(key, base_grid_points.shape) * ((high - low)/num) - (high - low)/num/2)\n", + "pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + "poses = trace.get_choices()[\"camera_pose\"] @ pose_grid\n", + "\n", + "scores = b3d.enumerate_choices_get_scores(\n", + " trace, key,\n", + " Pytree.const((\"camera_pose\",)), poses,\n", + ")\n", + "sampled_indices = jax.random.categorical(key, scores , shape=(1000,))\n", + "sampled_poses = poses[sampled_indices]\n", + "\n", + "plt.scatter(\n", + " sampled_poses.pos[:, 0],\n", + " sampled_poses.pos[:, 2],\n", + ")\n", + "\n", + "plt.xlim(0.0,3.0)\n", + "plt.ylim(0.0,1.0)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.random\n", + "\n", + "print(trace.get_choices()[\"blur\"])\n", + "key = b3d.split_key(key)\n", + "address = Pytree.const((\"camera_pose\",))\n", + "traces = [trace]\n", + "\n", + "grid_noise = (jax.random.uniform(key, base_grid_points.shape) * ((high - low)/num) - (high - low)/num/2)\n", + "pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + "poses = trace.get_choices()[\"camera_pose\"] @ pose_grid\n", + "\n", + "for _ in tqdm(range(40)):\n", + " scores = b3d.enumerate_choices_get_scores(\n", + " trace, key,\n", + " Pytree.const((\"camera_pose\",)), poses,\n", + " )\n", + " sampled_indices = jax.random.categorical(key, scores , shape=(1000,))\n", + " sampled_pose = poses[sampled_indices[0]]\n", + " # sampled_pose = poses[scores.argmax()]\n", + " trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + " traces.append(trace)\n", + "\n", + "poses = Pose.stack_poses([trace.get_choices()[\"camera_pose\"] for trace in traces])\n", + "\n", + "plt.xlim(0.0,3.0)\n", + "plt.ylim(0.0,1.0)\n", + "viz_trace(trace)\n", + "\n", + "plt.scatter(poses.pos[:, 0], poses.pos[:, 2], alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "viz_trace(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "key = b3d.split_key(key)\n", + "addresses= Pytree.const((\"color_variance_0\",\"outlier_probability_0\",\"blur\"))\n", + "sweeps = [color_variance_sweep, outlier_probability_sweep, blur_sweep]\n", + "scores = b3d.utils.grid_trace(\n", + " trace,\n", + " addresses,\n", + " sweeps,\n", + ")\n", + "index = jnp.unravel_index(scores.argmax(), scores.shape)\n", + "print(color_variance_sweep[index[0]], outlier_probability_sweep[index[1]], blur_sweep[index[2]])\n", + "\n", + "sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + " jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + ")\n", + "sampled_parameters = jnp.vstack(\n", + " [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + ").T\n", + "print(sampled_parameters[:10])\n", + "trace = b3d.update_choices(trace, key, addresses, *sampled_parameters[0])\n", + "# plt.plot(color_variance_sweep, scores)\n", + "\n", + "# addresses= Pytree.const((\"blur\",))\n", + "# blur_sweep_dense = jnp.linspace(1.0, 10.0, 200)\n", + "# scores = scores = b3d.enumerate_choices_get_scores(\n", + "# trace,\n", + "# key,\n", + "# addresses,\n", + "# blur_sweep_dense,\n", + "# )\n", + "# plt.plot(blur_sweep_dense, scores)\n", + "# print(blur_sweep_dense[scores.argmax()])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "grid_noise = (jax.random.uniform(key, base_grid_points.shape) * ((high - low)/num) - (high - low)/num/2)\n", + "pose_grid = grid_points_to_poses(base_grid_points + grid_noise)\n", + "plt.scatter(\n", + " pose_grid.pos[:, 0],\n", + " pose_grid.pos[:, 2],\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.random\n", + "\n", + "print(trace.get_choices()[\"blur\"])\n", + "key = b3d.split_key(key)\n", + "address = Pytree.const((\"camera_pose\",))\n", + "offset_pose = Pose.from_translation(jnp.array([0.01, 0.0, 0.0]))\n", + "poses = trace.get_choices()[\"camera_pose\"] @ pose_grid @ offset_pose\n", + "\n", + "scores = scores = b3d.enumerate_choices_get_scores(\n", + " trace,\n", + " key,\n", + " Pytree.const((\"camera_pose\",)),\n", + " poses,\n", + ")\n", + "\n", + "sampled_indices = jax.random.categorical(key, scores , shape=(1000,))\n", + "\n", + "sampled_indices_unique, counts = jnp.unique(sampled_indices, return_counts=True)\n", + "\n", + "sampled_pose = poses[sampled_indices[0]]\n", + "\n", + "print(sampled_indices_unique, counts)\n", + "\n", + "trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + "\n", + "viz_trace(trace)\n", + "\n", + "print(\n", + " poses.pos[sampled_indices, 0][:1], poses.pos[sampled_indices, 2][:1]\n", + ")\n", + "plt.xlim(0.0,3.0)\n", + "plt.ylim(0.0,1.0)\n", + "plt.scatter(poses.pos[sampled_indices, 0], poses.pos[sampled_indices, 2], alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sortorder = (-scores).argsort()\n", + "print(scores[sortorder[:10]])\n", + "i = 1\n", + "sampled_pose = poses[sortorder[i]]\n", + "print(scores[i])\n", + "print(sampled_pose)\n", + "new_trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + "viz_trace(new_trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def log_gaussian_kernel(size: int, sigma: float) -> jnp.ndarray:\n", + " \"\"\"Creates a 2D Gaussian kernel.\"\"\"\n", + " ax = jnp.arange(-size // 2 + 1.0, size // 2 + 1.0)\n", + " xx, yy = jnp.meshgrid(ax, ax)\n", + " kernel = -(xx**2 + yy**2) / (2.0 * sigma**2)\n", + " kernel = kernel - jax.nn.logsumexp(kernel)\n", + " return kernel\n", + "\n", + "plt.matshow(jnp.exp(log_gaussian_kernel(31, 10000.0)))\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "jnp.exp(log_gaussian_kernel(31, 10000.0))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "a = scores.sort()\n", + "print(a[-2:])\n", + "b3d.normalize_log_scores(a[-2:])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sampled_indices = jax.random.categorical(key, scores * 0.2, shape=(1000,))\n", + "\n", + "sampled_indices_unique, counts = jnp.unique(sampled_indices, return_counts=True)\n", + "sampled_pose = poses[sampled_indices[0]]\n", + "print(sampled_indices_unique, counts)\n", + "sampled_trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + "viz_trace(sampled_trace)\n", + "\n", + "plt.scatter(grid[sampled_indices, 0], grid[sampled_indices, 2], alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "blur_sweep" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "observed_camera_pose = Pose.from_translation(jnp.array([0.81, 0.0, 0.21]))\n", + "latent_camera_pose = Pose.from_translation(jnp.array([0.83, 0.0, 0.21]))\n", + "observed_rgb = renderer.render_rgbd_from_mesh(\n", + " world_mesh.transform(observed_camera_pose.inv())\n", + ")[..., :3]\n", + "latent_rgb = renderer.render_rgbd_from_mesh(\n", + " world_mesh.transform(latent_camera_pose.inv())\n", + ")[..., :3]\n", + "\n", + "b3d.rr_log_rgb(\"image\", observed_rgb)\n", + "b3d.rr_log_rgb(\"image/latent\", latent_rgb)\n", + "\n", + "scores = likelihood_vmap_blur(observed_rgb, latent_rgb, {\"blur\": blur_sweep})\n", + "print(scores)\n", + "# b3d.rr_log_depth(\"b\", likelihood_per_pixel(observed_rgb, latent_rgb, 0.01))\n", + "# b3d.rr_log_depth(\"b/higher_noise\", likelihood_per_pixel(observed_rgb, latent_rgb, 10.0))\n", + "# # b3d.rr_log_depth(\"b/diff\", likelihood_per_pixel(observed_rgb, latent_rgb, 0.01) - likelihood_per_pixel(observed_rgb, latent_rgb, 1.0))\n", + "\n", + "# blur_sweep = jnp.linspace(0.01, 10.5, 100)\n", + "# scores = likelihood_vmap_blur(observed_rgb, latent_rgb, blur_sweep)\n", + "# print(blur_sweep[scores.argmax()])\n", + "# plt.plot(blur_sweep, scores)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "latent_rgb_padded = jnp.pad(\n", + " latent_rgb,\n", + " (\n", + " (filter_size, filter_size),\n", + " (filter_size, filter_size),\n", + " (0, 0),\n", + " ),\n", + " mode=\"edge\",\n", + ")\n", + "jj, ii = jnp.meshgrid(\n", + " jnp.arange(observed_rgb.shape[1]), jnp.arange(observed_rgb.shape[0])\n", + ")\n", + "indices = jnp.stack([ii, jj], axis=-1)\n", + "ij = jnp.array([54, 65])\n", + "\n", + "\n", + "latent_rgb_padded_window = jax.lax.dynamic_slice(\n", + " latent_rgb_padded,\n", + " (ij[0], ij[1], 0),\n", + " (2 * filter_size + 1, 2 * filter_size + 1, 3),\n", + ")\n", + "scores_inlier = genjax.truncated_normal.logpdf(\n", + " observed_rgb[ij[0], ij[1], :], latent_rgb_padded_window, 0.03, 0.0, 1.0\n", + ").sum(-1)\n", + "plt.imshow(latent_rgb_padded_window)\n", + "plt.matshow(scores_inlier)\n", + "plt.colorbar()\n", + "\n", + "blur = 0.01\n", + "log_kernel = gaussian_kernel(2 * filter_size + 1, blur)\n", + "averaged_prob = jax.nn.logsumexp(jax.nn.logsumexp(scores_inlier + log_kernel))\n", + "averaged_prob = jax.nn.logsumexp(jax.nn.logsumexp(scores_inlier + log_kernel))\n", + "print(averaged_prob)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.matshow(log_kernel)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "print(\n", + " genjax.truncated_normal.logpdf(\n", + " jnp.array([1.0, 1.0, 0.0]), jnp.array([0.0, 0.0, 1.0]), 0.03, 0.0, 1.0\n", + " ).sum(-1)\n", + ")\n", + "\n", + "log_kernel = gaussian_kernel(2 * filter_size + 1, blur)\n", + "plt.matshow(log_kernel)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_log_depth(\"b\", likelihood_per_pixel(observed_rgb, latent_rgb, 0.01))\n", + "b3d.rr_log_depth(\"b/higher_noise\", likelihood_per_pixel(observed_rgb, latent_rgb, 10.0))\n", + "# b3d.rr_log_depth(\"b/diff\", likelihood_per_pixel(observed_rgb, latent_rgb, 0.01) - likelihood_per_pixel(observed_rgb, latent_rgb, 1.0))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "blur = 10.0\n", + "kernel = log_gaussian_kernel(2 * filter_size + 1, blur)\n", + "print(kernel.sum())\n", + "plt.matshow(jnp.exp(kernel))\n", + "plt.colorbar()\n", + "print(jnp.exp(kernel).sum())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "lower_bound = jnp.array([0.0, 0.0, 0.0, 0.0])\n", + "upper_bound = jnp.array([1.0, 1.0, 1.0, 3.0])\n", + "convert_rgbd_to_color_space = lambda x: x\n", + "convert_color_space_to_rgbd = lambda x: x\n", + "\n", + "\n", + "# convert_rgbd_to_color_space = lambda x: b3d.colors.rgbd_to_labd(x)\n", + "# convert_color_space_to_rgbd = lambda x: b3d.colors.labd_to_rgbd(x)\n", + "def intermediate_likelihood_func(observed_rgbd, latent_rgbd, likelihood_args):\n", + " k = likelihood_args[\"k\"].const\n", + " fx = likelihood_args[\"fx\"]\n", + " fy = likelihood_args[\"fy\"]\n", + "\n", + " outlier_probability_0 = likelihood_args[f\"outlier_probability_0\"]\n", + " # lightness_variance_0 = likelihood_args[f\"lightness_variance_0\"]\n", + " color_variance_0 = likelihood_args[f\"color_variance_0\"]\n", + " # depth_variance_0 = likelihood_args[f\"depth_variance_0\"]\n", + "\n", + " inlier_variances_0 = jnp.array(\n", + " [color_variance_0, color_variance_0, color_variance_0, color_variance_0]\n", + " )\n", + " outlier_variances = jnp.array([1000000.0, 1000000.0, 1000000.0, 1000000.0])\n", + "\n", + " image_height, image_width = observed_rgbd.shape[:2]\n", + "\n", + " blur = likelihood_args[\"blur\"]\n", + " observed_color_space_d = apply_gaussian_blur_rgbd(\n", + " observed_rgbd[..., :3], blur, kernel_size\n", + " )\n", + " latent_color_space_d = apply_gaussian_blur_rgbd(observed_rgb, blur, kernel_size)\n", + "\n", + " scores_inlier = genjax.truncated_normal.logpdf(\n", + " observed_color_space_d, latent_color_space_d, color_variance_0, 0.0, 1.0\n", + " ) + jnp.log(1.0 - outlier_probability_0)\n", + " scores_outlier = genjax.truncated_normal.logpdf(\n", + " observed_color_space_d, 0.5, 0.1, 0.0, 1.0\n", + " ) + jnp.log(outlier_probability_0)\n", + " print(scores_inlier.shape)\n", + " print(scores_outlier.shape)\n", + "\n", + " return {\n", + " \"score\": pixelwise_score.sum(),\n", + " \"observed_color_space_d\": observed_color_space_d,\n", + " \"latent_color_space_d\": latent_color_space_d,\n", + " \"pixelwise_score\": pixelwise_score,\n", + " }\n", + "\n", + " # subset_observed = observed_color_space_d\n", + " # subset_observed_rescaled = (subset_observed - lower_bound) / (\n", + " # upper_bound - lower_bound\n", + " # )\n", + " # rendered_values_rescaled = (latent_color_space_d - lower_bound) / (\n", + " # upper_bound - lower_bound\n", + " # )\n", + "\n", + " # scores_inlier = jax.vmap(\n", + " # genjax.truncated_normal.logpdf, in_axes=(0, 0, None, None, None)\n", + " # )(subset_observed_rescaled, rendered_values_rescaled, inlier_variances_0, 0.0, 1.0)\n", + " # scores_outlier = jax.vmap(\n", + " # genjax.truncated_normal.logpdf, in_axes=(0, None, None, None, None)\n", + " # )(subset_observed_rescaled, 0.5, outlier_variances, 0.0, 1.0)\n", + "\n", + " # scores_inlier_merged = scores_inlier[..., :3].sum(-1) + jnp.log(\n", + " # 1.0 - outlier_probability_0\n", + " # )\n", + " # scores_outlier_merged = scores_outlier[..., :3].sum(-1) + jnp.log(\n", + " # outlier_probability_0\n", + " # )\n", + "\n", + " # pixelwise_score = jnp.logaddexp(scores_inlier_merged, scores_outlier_merged)\n", + " # pixelwise_score_full = jnp.zeros((image_height, image_width))\n", + " # pixelwise_score_full = pixelwise_score\n", + "\n", + " return {\n", + " \"score\": pixelwise_score_full.sum(),\n", + " # \"score\": (\n", + " # jax.nn.logsumexp(pixelwise_score_full) - jnp.log(pixelwise_score_full.size)\n", + " # )\n", + " # * k,\n", + " \"observed_color_space_d\": observed_color_space_d,\n", + " \"latent_color_space_d\": latent_color_space_d,\n", + " \"pixelwise_score\": pixelwise_score_full,\n", + " }\n", + "\n", + "\n", + "import b3d.chisight.dense.dense_model\n", + "\n", + "b3d.reload(b3d.chisight.dense.dense_model)\n", + "model, viz_trace, info_from_trace = (\n", + " b3d.chisight.dense.dense_model.make_dense_multiobject_model(\n", + " renderer, intermediate_likelihood_func\n", + " )\n", + ")\n", + "importance_jit = jax.jit(model.importance)\n", + "\n", + "\n", + "grid1 = b3d.multivmap(b3d.update_choices_get_score, (False, False, False, True))\n", + "grid2 = b3d.multivmap(b3d.update_choices_get_score, (False, False, False, True, True))\n", + "grid3 = b3d.multivmap(\n", + " b3d.update_choices_get_score, (False, False, False, True, True, True)\n", + ")\n", + "grid4 = b3d.multivmap(\n", + " b3d.update_choices_get_score, (False, False, False, True, True, True, True)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "IDX = 4\n", + "key = jax.random.PRNGKey(0)\n", + "likelikood_args = {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"k\": Pytree.const(50),\n", + "}\n", + "\n", + "T = 22\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"rgbd\": rgbd,\n", + " \"object_pose_0\": Pose.identity(),\n", + " \"camera_pose\": Pose.from_translation(\n", + " gt_camera_pose.pos + jnp.array([0.1, 0.0, -0.01])\n", + " ),\n", + " # \"outlier_probability_0\": 0.1,\n", + " # \"color_variance_0\": 0.2,\n", + " }\n", + ")\n", + "\n", + "trace = importance_jit(\n", + " key,\n", + " choicemap,\n", + " (\n", + " {\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [world_mesh],\n", + " \"likelihood_args\": likelikood_args,\n", + " },\n", + " ),\n", + ")[0]\n", + "print(trace.get_score())\n", + "viz_trace(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.random\n", + "\n", + "key = b3d.split_key(key)\n", + "\n", + "gt_translation = trace.get_choices()[\"camera_pose\"].pos\n", + "w = 3.1\n", + "wz = 1.0\n", + "grid = b3d.utils.make_grid_points(\n", + " jnp.array([gt_translation[0] - w, gt_translation[1], gt_translation[2] - wz]),\n", + " jnp.array([gt_translation[0] + w, gt_translation[1], gt_translation[2] + wz]),\n", + " jnp.array([41, 1, 31]),\n", + ")\n", + "poses = Pose.from_translation(grid)\n", + "address = Pytree.const((\"camera_pose\",))\n", + "scores = grid1(trace, key, Pytree.const((\"camera_pose\",)), poses)\n", + "sampled_indices = jax.random.categorical(key, scores, shape=(1000,))\n", + "\n", + "# print(sampled_indices)\n", + "sampled_indices_unique, counts = jnp.unique(sampled_indices, return_counts=True)\n", + "sampled_pose = poses[sampled_indices[0]]\n", + "print(sampled_indices_unique, counts)\n", + "sampled_trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + "viz_trace(sampled_trace)\n", + "\n", + "plt.scatter(grid[sampled_indices, 0], grid[sampled_indices, 2], alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.scatter(poses.pos[:, 0], poses.pos[:, 2], c=scores)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "scores = b3d.enumerate_choices_get_scores(\n", + " trace,\n", + " key,\n", + " Pytree.const((\"blur\",)),\n", + " blur_sweep,\n", + ")\n", + "plt.plot(blur_sweep, scores)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "outlier_probability_sweep = jnp.linspace(0.001, 0.2, 30)\n", + "color_variance_sweep = jnp.linspace(0.1, 0.3, 15)\n", + "blur_sweep = jnp.linspace(0.01, 1.0, 15)\n", + "\n", + "for arguments in [\n", + " Pytree.const(\n", + " (\n", + " \"outlier_probability_background\",\n", + " \"color_variance_background\",\n", + " )\n", + " ),\n", + "]:\n", + " key = jax.random.split(key, 2)[-1]\n", + "\n", + " # arguments = Pytree.const((\"outlier_probability_background\", \"lightness_variance_background\", \"color_variance_background\", \"depth_variance_background\",))\n", + " sweeps = [\n", + " outlier_probability_sweep,\n", + " color_variance_sweep,\n", + " # blur_sweep,\n", + " ]\n", + "\n", + " scores = grid2(trace, key, arguments, *sweeps)\n", + " sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + " jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + " )\n", + " sampled_parameters = jnp.vstack(\n", + " [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + " ).T\n", + "\n", + " print(sampled_parameters[0])\n", + " trace = b3d.update_choices(\n", + " trace,\n", + " key,\n", + " arguments,\n", + " # 0.05, 1.0, 0.02, 0.01\n", + " *sampled_parameters[0],\n", + " )\n", + " print(trace.get_score())\n", + " viz_trace(trace)\n", + " info_from_trace(trace)[\"score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "scores = b3d.enumerate_choices_get_scores(\n", + " trace,\n", + " key,\n", + " Pytree.const((\"blur\",)),\n", + " blur_sweep,\n", + ")\n", + "plt.plot(blur_sweep, scores)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.random\n", + "\n", + "key = b3d.split_key(key)\n", + "\n", + "gt_translation = trace.get_choices()[\"camera_pose\"].pos\n", + "w = 3.1\n", + "wz = 1.0\n", + "grid = b3d.utils.make_grid_points(\n", + " jnp.array([gt_translation[0] - w, gt_translation[1], gt_translation[2] - wz]),\n", + " jnp.array([gt_translation[0] + w, gt_translation[1], gt_translation[2] + wz]),\n", + " jnp.array([41, 1, 31]),\n", + ")\n", + "poses = Pose.from_translation(grid)\n", + "address = Pytree.const((\"camera_pose\",))\n", + "scores = grid1(trace, key, Pytree.const((\"camera_pose\",)), poses)\n", + "sampled_indices = jax.random.categorical(key, scores, shape=(1000,))\n", + "\n", + "# print(sampled_indices)\n", + "sampled_indices_unique, counts = jnp.unique(sampled_indices, return_counts=True)\n", + "sampled_pose = poses[sampled_indices[0]]\n", + "print(sampled_indices_unique, counts)\n", + "sampled_trace = b3d.update_choices(trace, key, address, sampled_pose)\n", + "viz_trace(sampled_trace)\n", + "\n", + "plt.scatter(grid[sampled_indices, 0], grid[sampled_indices, 2], alpha=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plt.scatter(poses.pos[:, 0], poses.pos[:, 2], c=scores)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import trimesh\n", + "\n", + "mesh = trimesh.load(\"identical_rooms_single_mesh.obj\")\n", + "# mesh = Mesh.from_obj(\"identical_rooms_single_mesh.obj\")\n", + "mesh.vertices" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init(\"slam\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "obj = Mesh.from_obj(\"identical_rooms_single_mesh.obj\")\n", + "obj.rr_visualize(\"mesh\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/aug1demos/slam_ycbv.ipynb b/notebooks/aug1demos/slam_ycbv.ipynb new file mode 100644 index 00000000..8bc7a139 --- /dev/null +++ b/notebooks/aug1demos/slam_ycbv.ipynb @@ -0,0 +1,2443 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d\n", + "import jax.numpy as jnp\n", + "import os\n", + "from b3d import Mesh, Pose\n", + "import jax\n", + "import genjax\n", + "from genjax import Pytree\n", + "import rerun as rr\n", + "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", + "import matplotlib.pyplot as plt\n", + "from functools import partial\n", + "import importlib\n", + "from ipywidgets import interact\n", + "import ipywidgets as widgets\n", + "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from genjax import SelectionBuilder as S\n", + "\n", + "gvmf_and_select_best_move = b3d.bayes3d.enumerative_proposals.gvmf_and_select_best_move" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init(\"slam_ycbv\")\n", + "key = jax.random.PRNGKey(0)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Scene 48\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [00:20<00:00, 2.18it/s]\n" + ] + }, + { + "data": { + "image/jpeg": 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", 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", + "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scene = 48\n", + "\n", + "FRAME_RATE = 50\n", + "\n", + "ycb_dir = os.path.join(b3d.get_assets_path(), \"bop/ycbv\")\n", + "\n", + "\n", + "if scene is None:\n", + " scenes = range(48, 60)\n", + "elif isinstance(scene, int):\n", + " scenes = [scene]\n", + "elif isinstance(scene, list):\n", + " scenes = scene\n", + "\n", + "scene_id = scenes[0]\n", + "\n", + "\n", + "print(f\"Scene {scene_id}\")\n", + "b3d.reload(b3d.io.data_loader)\n", + "num_scenes = b3d.io.data_loader.get_ycbv_num_test_images(ycb_dir, scene_id)\n", + "\n", + "# image_ids = [image] if image is not None else range(1, num_scenes, FRAME_RATE)\n", + "image_ids = range(1, num_scenes + 1, FRAME_RATE)\n", + "all_data = b3d.io.data_loader.get_ycbv_test_images(ycb_dir, scene_id, image_ids)\n", + "\n", + "meshes = [\n", + " Mesh.from_obj_file(\n", + " os.path.join(ycb_dir, f'models/obj_{f\"{id + 1}\".rjust(6, \"0\")}.ply')\n", + " ).scale(0.001)\n", + " for id in all_data[0][\"object_types\"]\n", + "]\n", + "\n", + "height, width = all_data[0][\"rgbd\"].shape[:2]\n", + "fx, fy, cx, cy = all_data[0][\"camera_intrinsics\"]\n", + "scaling_factor = 0.3\n", + "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", + " width * scaling_factor,\n", + " height * scaling_factor,\n", + " fx * scaling_factor,\n", + " fy * scaling_factor,\n", + " cx * scaling_factor,\n", + " cy * scaling_factor,\n", + " 0.01,\n", + " 2.0,\n", + ")\n", + "b3d.viz_rgb(all_data[0][\"rgbd\"])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d.chisight.dense.dense_model\n", + "b3d.reload(b3d.chisight.dense.dense_model)\n", + "b3d.reload(b3d.utils)\n", + "import b3d.chisight.dense.likelihoods.blur_likelihood\n", + "b3d.reload(b3d.chisight.dense.likelihoods.blur_likelihood)\n", + "intermediate_likelihood_func = b3d.chisight.dense.likelihoods.blur_likelihood.blur_intermediate_likelihood_func\n", + "blur_intermediate_sample_func = b3d.chisight.dense.likelihoods.blur_likelihood.blur_intermediate_sample_func\n", + "model, viz_trace, info_from_trace = (\n", + " b3d.chisight.dense.dense_model.make_dense_multiobject_model(\n", + " renderer, intermediate_likelihood_func, blur_intermediate_sample_func\n", + " )\n", + ")\n", + "importance_jit = jax.jit(model.importance)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mesh(vertices=(368640,), faces=(184320,), vertex_attributes=(368640,))\n", + "-5174.356\n" + ] + } + ], + "source": [ + "START_T = 0\n", + "\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "point_cloud_colors = rgbd[..., :3].reshape(-1,3)\n", + "point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)\n", + "point_cloud = point_cloud.reshape(-1, 3)\n", + "key = jax.random.PRNGKey(0)\n", + "m = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 20,), replace=False)\n", + "background_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud[m], point_cloud_colors[m] , point_cloud[m][:, 2] / fx * 6.0\n", + ")\n", + "print(background_mesh)\n", + "\n", + "learned_object_mesh = background_mesh.transform(all_data[START_T][\"camera_pose\"])\n", + "\n", + "# OBJECT_INDEX = 1\n", + "# rgbd = all_data[START_T][\"rgbd\"]\n", + "# mask = all_data[START_T][\"masks\"][OBJECT_INDEX] == 1\n", + "# point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + "# point_cloud_colors = rgbd[..., :3][mask]\n", + "# subsample_mask = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 10,), replace=False)\n", + "# learned_object_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + "# point_cloud[subsample_mask], point_cloud_colors[subsample_mask] , point_cloud[subsample_mask][:, 2] / fx * 3.0\n", + "# )\n", + "# learned_object_mesh = learned_object_mesh.transform(all_data[START_T][\"camera_pose\"])\n", + "# print(learned_object_mesh)\n", + "\n", + "\n", + "k = 5000\n", + "keys = jax.random.split(key, 2 * k)\n", + "rows = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[:k],\n", + " jnp.ones((k, renderer.height)))\n", + "cols = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[k:],\n", + " jnp.ones((k, renderer.width)))\n", + "args = ({\n", + " \"num_objects\": Pytree.const(2),\n", + " \"meshes\": [learned_object_mesh],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"camera_pose\": all_data[START_T][\"camera_pose\"],\n", + " \"object_pose_0\": Pose.identity(),\n", + " # \"object_pose_0\": all_data[T][\"object_poses\"][0],\n", + " \"color_variance_0\": 0.2,\n", + " \"depth_variance_0\": 0.005,\n", + " \"outlier_probability_0\": 0.1,\n", + " \"blur\": 3.0,\n", + " }\n", + ")\n", + "trace = importance_jit(key, choicemap, args)[0]\n", + "\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "print(trace.get_score())\n", + "viz_trace(trace, START_T)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 21%|██ | 12/57 [00:25<01:37, 2.16s/it]\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[257], line 11\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m var \u001b[38;5;129;01min\u001b[39;00m [\u001b[38;5;241m0.04\u001b[39m, \u001b[38;5;241m0.02\u001b[39m, \u001b[38;5;241m0.01\u001b[39m]:\n\u001b[1;32m 10\u001b[0m trace \u001b[38;5;241m=\u001b[39m saved_trace\n\u001b[0;32m---> 11\u001b[0m trace, key \u001b[38;5;241m=\u001b[39m \u001b[43mgvmf_and_select_best_move\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 12\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrace\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2000.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcamera_pose\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m700\u001b[39;49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 14\u001b[0m potential_traces\u001b[38;5;241m.\u001b[39mappend(trace)\n\u001b[1;32m 15\u001b[0m trace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmax\u001b[39m(potential_traces, key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x: x\u001b[38;5;241m.\u001b[39mget_score())\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/pjit.py:304\u001b[0m, in \u001b[0;36m_cpp_pjit..cache_miss\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 302\u001b[0m \u001b[38;5;129m@api_boundary\u001b[39m\n\u001b[1;32m 303\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcache_miss\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[0;32m--> 304\u001b[0m outs, out_flat, out_tree, args_flat, jaxpr, attrs_tracked \u001b[38;5;241m=\u001b[39m \u001b[43m_python_pjit_helper\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 305\u001b[0m \u001b[43m \u001b[49m\u001b[43mjit_info\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 306\u001b[0m executable \u001b[38;5;241m=\u001b[39m _read_most_recent_pjit_call_executable(jaxpr)\n\u001b[1;32m 307\u001b[0m maybe_fastpath_data \u001b[38;5;241m=\u001b[39m _get_fastpath_data(\n\u001b[1;32m 308\u001b[0m executable, out_tree, args_flat, out_flat, attrs_tracked, jaxpr\u001b[38;5;241m.\u001b[39meffects,\n\u001b[1;32m 309\u001b[0m jaxpr\u001b[38;5;241m.\u001b[39mconsts, jit_info\u001b[38;5;241m.\u001b[39mabstracted_axes)\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/pjit.py:181\u001b[0m, in \u001b[0;36m_python_pjit_helper\u001b[0;34m(jit_info, *args, **kwargs)\u001b[0m\n\u001b[1;32m 178\u001b[0m args_flat \u001b[38;5;241m=\u001b[39m [\u001b[38;5;241m*\u001b[39minit_states, \u001b[38;5;241m*\u001b[39margs_flat]\n\u001b[1;32m 180\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 181\u001b[0m out_flat \u001b[38;5;241m=\u001b[39m \u001b[43mpjit_p\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbind\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs_flat\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 182\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m pxla\u001b[38;5;241m.\u001b[39mDeviceAssignmentMismatchError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 183\u001b[0m fails, \u001b[38;5;241m=\u001b[39m e\u001b[38;5;241m.\u001b[39margs\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/core.py:2789\u001b[0m, in \u001b[0;36mAxisPrimitive.bind\u001b[0;34m(self, *args, **params)\u001b[0m\n\u001b[1;32m 2785\u001b[0m axis_main \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmax\u001b[39m((axis_frame(a)\u001b[38;5;241m.\u001b[39mmain_trace \u001b[38;5;28;01mfor\u001b[39;00m a \u001b[38;5;129;01min\u001b[39;00m used_axis_names(\u001b[38;5;28mself\u001b[39m, params)),\n\u001b[1;32m 2786\u001b[0m default\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m t: \u001b[38;5;28mgetattr\u001b[39m(t, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlevel\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m1\u001b[39m))\n\u001b[1;32m 2787\u001b[0m top_trace \u001b[38;5;241m=\u001b[39m (top_trace \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m axis_main \u001b[38;5;129;01mor\u001b[39;00m axis_main\u001b[38;5;241m.\u001b[39mlevel \u001b[38;5;241m<\u001b[39m top_trace\u001b[38;5;241m.\u001b[39mlevel\n\u001b[1;32m 2788\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m axis_main\u001b[38;5;241m.\u001b[39mwith_cur_sublevel())\n\u001b[0;32m-> 2789\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mbind_with_trace\u001b[49m\u001b[43m(\u001b[49m\u001b[43mtop_trace\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/core.py:391\u001b[0m, in \u001b[0;36mPrimitive.bind_with_trace\u001b[0;34m(self, trace, args, params)\u001b[0m\n\u001b[1;32m 389\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mbind_with_trace\u001b[39m(\u001b[38;5;28mself\u001b[39m, trace, args, params):\n\u001b[1;32m 390\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m pop_level(trace\u001b[38;5;241m.\u001b[39mlevel):\n\u001b[0;32m--> 391\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mtrace\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprocess_primitive\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mmap\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtrace\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfull_raise\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 392\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mmap\u001b[39m(full_lower, out) \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmultiple_results \u001b[38;5;28;01melse\u001b[39;00m full_lower(out)\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/core.py:879\u001b[0m, in \u001b[0;36mEvalTrace.process_primitive\u001b[0;34m(self, primitive, tracers, params)\u001b[0m\n\u001b[1;32m 877\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m call_impl_with_key_reuse_checks(primitive, primitive\u001b[38;5;241m.\u001b[39mimpl, \u001b[38;5;241m*\u001b[39mtracers, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mparams)\n\u001b[1;32m 878\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 879\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mprimitive\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimpl\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mtracers\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mparams\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/pjit.py:1525\u001b[0m, in \u001b[0;36m_pjit_call_impl\u001b[0;34m(jaxpr, in_shardings, out_shardings, in_layouts, out_layouts, resource_env, donated_invars, name, keep_unused, inline, *args)\u001b[0m\n\u001b[1;32m 1522\u001b[0m donated_argnums \u001b[38;5;241m=\u001b[39m [i \u001b[38;5;28;01mfor\u001b[39;00m i, d \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(donated_invars) \u001b[38;5;28;01mif\u001b[39;00m d]\n\u001b[1;32m 1523\u001b[0m has_explicit_sharding \u001b[38;5;241m=\u001b[39m _pjit_explicit_sharding(\n\u001b[1;32m 1524\u001b[0m in_shardings, out_shardings, \u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m-> 1525\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mxc\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_xla\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpjit\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 1526\u001b[0m \u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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\u001b[49m\u001b[43mdonated_invars\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdonated_invars\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mname\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mname\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkeep_unused\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mkeep_unused\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 1513\u001b[0m \u001b[43m \u001b[49m\u001b[43minline\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minline\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1514\u001b[0m fastpath_data \u001b[38;5;241m=\u001b[39m _get_fastpath_data(\n\u001b[1;32m 1515\u001b[0m compiled, tree_structure(out_flat), args, out_flat, [], jaxpr\u001b[38;5;241m.\u001b[39meffects,\n\u001b[1;32m 1516\u001b[0m jaxpr\u001b[38;5;241m.\u001b[39mconsts, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[1;32m 1517\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m out_flat, fastpath_data\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/pjit.py:1462\u001b[0m, in \u001b[0;36m_pjit_call_impl_python\u001b[0;34m(jaxpr, in_shardings, out_shardings, in_layouts, out_layouts, resource_env, donated_invars, name, keep_unused, inline, *args)\u001b[0m\n\u001b[1;32m 1454\u001b[0m distributed_debug_log((\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRunning pjit\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124md function\u001b[39m\u001b[38;5;124m\"\u001b[39m, name),\n\u001b[1;32m 1455\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124min_shardings\u001b[39m\u001b[38;5;124m\"\u001b[39m, in_shardings),\n\u001b[1;32m 1456\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mout_shardings\u001b[39m\u001b[38;5;124m\"\u001b[39m, out_shardings),\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 1459\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mabstract args\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28mmap\u001b[39m(xla\u001b[38;5;241m.\u001b[39mabstractify, args)),\n\u001b[1;32m 1460\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfingerprint\u001b[39m\u001b[38;5;124m\"\u001b[39m, fingerprint))\n\u001b[1;32m 1461\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 1462\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mcompiled\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43munsafe_call\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m, compiled\n\u001b[1;32m 1463\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mFloatingPointError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 1464\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m config\u001b[38;5;241m.\u001b[39mdebug_nans\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;129;01mor\u001b[39;00m config\u001b[38;5;241m.\u001b[39mdebug_infs\u001b[38;5;241m.\u001b[39mvalue \u001b[38;5;66;03m# compiled_fun can only raise in this case\u001b[39;00m\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/profiler.py:335\u001b[0m, in \u001b[0;36mannotate_function..wrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 332\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 333\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mwrapper\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m 334\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m TraceAnnotation(name, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mdecorator_kwargs):\n\u001b[0;32m--> 335\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 336\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wrapper\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/jax/_src/interpreters/pxla.py:1185\u001b[0m, in \u001b[0;36mExecuteReplicated.__call__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 1183\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_handle_token_bufs(result_token_bufs, sharded_runtime_token)\n\u001b[1;32m 1184\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m-> 1185\u001b[0m results \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mxla_executable\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mexecute_sharded\u001b[49m\u001b[43m(\u001b[49m\u001b[43minput_bufs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1186\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m dispatch\u001b[38;5;241m.\u001b[39mneeds_check_special():\n\u001b[1;32m 1187\u001b[0m out_arrays \u001b[38;5;241m=\u001b[39m results\u001b[38;5;241m.\u001b[39mdisassemble_into_single_device_arrays()\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "# Tracking camera pose\n", + "traces = {}\n", + "for T in tqdm(range(START_T, len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.04, 0.02, 0.01]:\n", + " trace = saved_trace\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"camera_pose\", 700\n", + " )\n", + " potential_traces.append(trace)\n", + " trace = max(potential_traces, key=lambda x: x.get_score())\n", + " viz_trace(trace, T)\n", + " traces[T] = trace" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Trace -10315.308\n", + "GT Trace -11480.306\n", + "GT Greater than Inferred False\n" + ] + } + ], + "source": [ + "T = 44\n", + "trace = traces[T]\n", + "gt_trace = b3d.update_choices(trace, Pytree.const((\"camera_pose\",)) , all_data[T][\"camera_pose\"])\n", + "viz_trace(gt_trace, T)\n", + "viz_trace(trace,T)\n", + "print(\"Trace \", trace.get_score())\n", + "print(\"GT Trace \", gt_trace.get_score())\n", + "print(\"GT Greater than Inferred \", gt_trace.get_score() > trace.get_score())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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", 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", + "text/plain": [ + "" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "T = 35\n", + "OBJECT_INDEX = 2\n", + "rgbd = renderer.render_rgbd_from_mesh(\n", + " meshes[OBJECT_INDEX].transform(\n", + " all_data[T][\"camera_pose\"].inv() @ \n", + " all_data[START_T][\"object_poses\"][OBJECT_INDEX]\n", + " )\n", + ")\n", + "original_rgbd = all_data[T][\"rgbd\"]\n", + "b3d.overlay_image(b3d.viz_rgb(rgbd), b3d.viz_rgb(b3d.resize_image_nearest(original_rgbd[..., :3], renderer.height, renderer.width)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Tracking single object mesh" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "k = 10000\n", + "keys = jax.random.split(key, 2 * k)\n", + "rows = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[:k],\n", + " jnp.ones((k, renderer.height)))\n", + "cols = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[k:],\n", + " jnp.ones((k, renderer.width)))" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "T = 0\n", + "OBJECT_INDEX = 1\n", + "rgbd = all_data[T][\"rgbd\"]\n", + "\n", + "OBJECT_INDEX = 1\n", + "\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [meshes[OBJECT_INDEX]],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"camera_pose\": Pose.identity(),\n", + " \"object_pose_0\": all_data[0][\"camera_pose\"].inv() @ all_data[0][\"object_poses\"][OBJECT_INDEX],\n", + " # \"object_pose_0\": all_data[T][\"object_poses\"][0],\n", + " \"color_variance_0\": 0.15,\n", + " \"depth_variance_0\": 0.005,\n", + " \"outlier_probability_0\": 0.1,\n", + " \"blur\": 1.0,\n", + " }\n", + ")\n", + "trace = importance_jit(key, choicemap, args)[0]\n", + "trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "viz_trace(trace, T)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# Refresh mesh\n", + "object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + "rendered_rgbd = renderer.render_rgbd_from_mesh(\n", + " meshes[OBJECT_INDEX].transform(object_pose)\n", + ")\n", + "mask = (rendered_rgbd[...,3] > 0)\n", + "point_cloud = b3d.xyz_from_depth(rendered_rgbd[...,3], renderer.fx, renderer.fy, renderer.cx, renderer.cy)[mask]\n", + "point_cloud_colors = trace.get_choices()[\"rgbd\"][mask,:3]\n", + "\n", + "learned_object_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud, point_cloud_colors , point_cloud[:, 2] / fx * 3.0\n", + ")\n", + "object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + "learned_object_mesh = learned_object_mesh.transform(object_pose.inv())\n", + "\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [learned_object_mesh],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "trace = importance_jit(key, trace.get_choices(), args)[0]\n", + "viz_trace(trace, T)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 67%|██████▋ | 30/45 [03:49<01:54, 7.66s/it]\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[17], line 12\u001b[0m\n\u001b[1;32m 10\u001b[0m trace \u001b[38;5;241m=\u001b[39m saved_trace\n\u001b[1;32m 11\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m3\u001b[39m):\n\u001b[0;32m---> 12\u001b[0m trace, key \u001b[38;5;241m=\u001b[39m \u001b[43mgvmf_and_select_best_move\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 13\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrace\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2000.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mobject_pose_0\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1000\u001b[39;49m\n\u001b[1;32m 14\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 15\u001b[0m potential_traces\u001b[38;5;241m.\u001b[39mappend(trace)\n\u001b[1;32m 16\u001b[0m trace \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmax\u001b[39m(potential_traces, key\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mlambda\u001b[39;00m x: x\u001b[38;5;241m.\u001b[39mget_score())\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/penzai/core/struct.py:630\u001b[0m, in \u001b[0;36mStruct.tree_unflatten\u001b[0;34m(cls, aux_data, children)\u001b[0m\n\u001b[1;32m 627\u001b[0m children\u001b[38;5;241m.\u001b[39mappend(value)\n\u001b[1;32m 628\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m children, StructStaticMetadata(child_field_names, static_fields)\n\u001b[0;32m--> 630\u001b[0m \u001b[38;5;129m@typing\u001b[39m\u001b[38;5;241m.\u001b[39mfinal\n\u001b[1;32m 631\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m 632\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtree_unflatten\u001b[39m(\u001b[38;5;28mcls\u001b[39m, aux_data: Any, children: Sequence[Any]) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Struct:\n\u001b[1;32m 633\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Unflattens this tree node.\u001b[39;00m\n\u001b[1;32m 634\u001b[0m \n\u001b[1;32m 635\u001b[0m \u001b[38;5;124;03m See `jax.tree_util.register_pytree_with_keys_class`.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;124;03m An instance of the struct.\u001b[39;00m\n\u001b[1;32m 650\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(aux_data, StructStaticMetadata)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "# Tracking camera pose\n", + "traces = {}\n", + "for T in tqdm(range(len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.04, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + " for _ in range(3):\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"object_pose_0\", 1000\n", + " )\n", + " potential_traces.append(trace)\n", + " trace = max(potential_traces, key=lambda x: x.get_score())\n", + "\n", + " if T > 0 and T % 10 == 0:\n", + " # Refresh mesh\n", + " object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + " rendered_rgbd = renderer.render_rgbd_from_mesh(\n", + " meshes[OBJECT_INDEX].transform(object_pose)\n", + " )\n", + " mask = (rendered_rgbd[...,3] > 0)\n", + " point_cloud = b3d.xyz_from_depth(rendered_rgbd[...,3], renderer.fx, renderer.fy, renderer.cx, renderer.cy)[mask]\n", + " point_cloud_colors = trace.get_choices()[\"rgbd\"][mask,:3]\n", + "\n", + " learned_object_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud, point_cloud_colors , point_cloud[:, 2] / fx * 3.0\n", + " )\n", + " object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + " learned_object_mesh = learned_object_mesh.transform(object_pose.inv())\n", + "\n", + " args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [learned_object_mesh],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + " },)\n", + " trace = importance_jit(key, trace.get_choices(), args)[0]\n", + " viz_trace(trace, T)\n", + "\n", + " viz_trace(trace, T)\n", + " traces[T] = trace" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "camera pose before Pose(position=Array([0.026148 , 0.04957988, 0.8869614 ], dtype=float32), quaternion=Array([-0.04024768, -0.7978447 , 0.6006524 , -0.03226086], dtype=float32))\n", + "camera pose after Pose(position=Array([0.03594698, 0.0625294 , 0.8858656 ], dtype=float32), quaternion=Array([-0.01903415, -0.7944212 , 0.6066506 , -0.02253479], dtype=float32))\n", + "Trace -11509.734\n", + "GT Trace -11525.503\n", + "GT Greater than Inferred False\n" + ] + } + ], + "source": [ + "T = 13\n", + "trace = traces[T]\n", + "gt_trace = b3d.update_choices(trace, Pytree.const((\"object_pose_0\",)) , all_data[T][\"camera_pose\"].inv() @ all_data[T][\"object_poses\"][OBJECT_INDEX])\n", + "viz_trace(gt_trace, T)\n", + "viz_trace(trace,T)\n", + "\n", + "print(\"camera pose before\", all_data[T-1][\"camera_pose\"].inv() @ all_data[T-1][\"object_poses\"][OBJECT_INDEX])\n", + "print(\"camera pose after\", all_data[T][\"camera_pose\"].inv() @ all_data[T][\"object_poses\"][OBJECT_INDEX])\n", + "\n", + "print(\"Trace \", trace.get_score())\n", + "print(\"GT Trace \", gt_trace.get_score())\n", + "print(\"GT Greater than Inferred \", gt_trace.get_score() > trace.get_score())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Refresh mesh\n", + "object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + "rendered_rgbd = renderer.rasterize_mesh(\n", + " meshes[OBJECT_INDEX].transform(object_pose)\n", + ")\n", + "indices = rendered_rgbd[...,3].astype(jnp.int32) - 1\n", + "mask = (indices >= 0)\n", + "\n", + "colors = trace.get_choices()[\"rgbd\"][mask,:3]\n", + "corresponding_indices = indices[mask]\n", + "\n", + "new_mesh = meshes[OBJECT_INDEX].copy()\n", + "corresponding_vertices = new_mesh.faces[corresponding_indices]\n", + "new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,0]].set(colors)\n", + "new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,1]].set(colors)\n", + "new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,2]].set(colors)\n", + "\n", + "rendered_rgbd = renderer.render_rgbd_from_mesh(\n", + " new_mesh.transform(object_pose)\n", + ")\n", + "b3d.viz_rgb(rendered_rgbd)\n", + "\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [new_mesh],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "trace = importance_jit(key, trace.get_choices(), args)[0]\n", + "viz_trace(trace, T)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "indices = rendered_rgbd[...,3].astype(jnp.int32) - 1\n", + "mask = (indices >= 0)\n", + "colors = rgbd[mask,:3]\n", + "corresponding_indices = indices[mask]\n", + "\n", + "corresponding_vertices = transformed_mesh.faces[corresponding_indices]\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "rendered_rgbd = renderer.render_rgbd_from_mesh(\n", + " transformed_mesh\n", + ")\n", + "b3d.viz_rgb(rendered_rgbd)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(665, 3)" + ] + }, + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "corresponding_vertices.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array([ 0., 1944., 1953., 2009., 2132., 2139., 2144., 2165.,\n", + " 2173., 2185., 2200., 2202., 2210., 2456., 2960., 2972.,\n", + " 3066., 3097., 3128., 3296., 3324., 3375., 3385., 3397.,\n", + " 3451., 3483., 3487., 3607., 3668., 3916., 4105., 4124.,\n", + " 4241., 4343., 4413., 4586., 4651., 4664., 5097., 5857.,\n", + " 5951., 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0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.]],\n", + "\n", + " [[0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.]],\n", + "\n", + " ...,\n", + "\n", + " [[0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.]],\n", + "\n", + " [[0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.]],\n", + "\n", + " [[0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " ...,\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.],\n", + " [0., 0., 0., 0.]]], dtype=float32)" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + " # Refresh mesh\n", + " object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + " rendered_rgbd = renderer.rasterize_mesh(\n", + " meshes[OBJECT_INDEX].transform(object_pose)\n", + " )\n", + " indices = rendered_rgbd[...,3].astype(jnp.int32) - 1\n", + " mask = (indices >= 0)\n", + "\n", + " colors = trace.get_choices()[\"rgbd\"][mask,:3]\n", + " corresponding_indices = indices[mask]\n", + "\n", + " new_mesh = meshes[OBJECT_INDEX].copy()\n", + " corresponding_vertices = new_mesh.faces[corresponding_indices]\n", + " new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,0]].set(colors)\n", + " new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,1]].set(colors)\n", + " new_mesh.vertex_attributes = new_mesh.vertex_attributes.at[corresponding_vertices[:,2]].set(colors)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-11526.002\n" + ] + } + ], + "source": [ + "START_T = 0\n", + "\n", + "OBJECT_INDEX = 1\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [meshes[OBJECT_INDEX]],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"camera_pose\": Pose.identity(),\n", + " \"object_pose_0\": all_data[0][\"camera_pose\"].inv() @ all_data[0][\"object_poses\"][OBJECT_INDEX],\n", + " \"color_variance_0\": 0.1,\n", + " \"depth_variance_0\": 0.005,\n", + " \"outlier_probability_0\": 0.1,\n", + " \"blur\": 2.0,\n", + " }\n", + ")\n", + "trace = importance_jit(key, choicemap, args)[0]\n", + "trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "trace0 = trace\n", + "\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "print(trace.get_score())\n", + "viz_trace(trace, START_T)" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 68, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "object_pose = trace.get_choices()[\"camera_pose\"].inv() @ trace.get_choices()[\"object_pose_0\"]\n", + "rendered_rgbd = b3d.resize_image_nearest(\n", + " renderer.render_rgbd_from_mesh(meshes[OBJECT_INDEX].transform(object_pose)),\n", + " rgbd.shape[0], rgbd.shape[1]\n", + ")\n", + "point_cloud = b3d.xyz_from_depth(rendered_rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + "point_cloud_colors = rendered_rgbd[..., :3][mask]\n", + "b3d.viz_rgb(rendered_rgbd)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [01:21<00:00, 1.82s/it]\n" + ] + } + ], + "source": [ + "# Tracking camera pose\n", + "traces = {}\n", + "for T in tqdm(range(START_T, len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.04, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + " for _ in range(3):\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"object_pose_0\", 1000\n", + " )\n", + " potential_traces.append(trace)\n", + " trace = max(potential_traces, key=lambda x: x.get_score())\n", + " viz_trace(trace, T)\n", + " traces[T] = trace" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mesh(vertices=(45600,), faces=(22800,), vertex_attributes=(45600,))\n" + ] + } + ], + "source": [ + "T = 19\n", + "trace = traces[T]\n", + "\n", + "rgbd = all_data[T][\"rgbd\"]\n", + "object_pose = trace.get_choices()[\"object_pose_0\"]\n", + "rendered_rgbd = b3d.resize_image_nearest(\n", + " renderer.render_rgbd_from_mesh(meshes[OBJECT_INDEX].transform(object_pose)),\n", + " rgbd.shape[0], rgbd.shape[1]\n", + ")\n", + "mask = rendered_rgbd[...,3] > 0\n", + "\n", + "point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + "point_cloud_colors = rgbd[..., :3][mask]\n", + "subsample_mask = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 3,), replace=False)\n", + "learned_object_mesh_new = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud[subsample_mask], point_cloud_colors[subsample_mask] , point_cloud[subsample_mask][:, 2] / fx * 6.0\n", + ")\n", + "object_pose_in_camera_frame = trace.get_choices()[\"object_pose_0\"]\n", + "learned_object_mesh_new = learned_object_mesh_new.transform(object_pose_in_camera_frame.inv())\n", + "print(learned_object_mesh_new)\n", + "\n", + "\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [learned_object_mesh_new],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "trace = importance_jit(key, trace.get_choices(), args)[0]\n", + "viz_trace(trace, T)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 26/26 [00:54<00:00, 2.11s/it]\n" + ] + } + ], + "source": [ + "# Tracking camera pose\n", + "for T in tqdm(range(19, len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.04, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + " for _ in range(3):\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"object_pose_0\", 1000\n", + " )\n", + " potential_traces.append(trace)\n", + " trace = max(potential_traces, key=lambda x: x.get_score())\n", + " viz_trace(trace, T)\n", + " traces[T] = trace" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 298, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "camera pose before Pose(position=Array([0.08481739, 0.06211757, 0.91221064], dtype=float32), quaternion=Array([ 0.13904771, -0.7891375 , 0.58540183, 0.12342031], dtype=float32))\n", + "camera pose after Pose(position=Array([0.12829743, 0.10331223, 0.9133683 ], dtype=float32), quaternion=Array([ 0.160932 , -0.773458 , 0.5987974 , 0.13155003], dtype=float32))\n", + "Trace -11418.604\n", + "GT Trace -11560.937\n", + "GT Greater than Inferred False\n" + ] + } + ], + "source": [ + "T = 35\n", + "trace = traces[T]\n", + "gt_trace = b3d.update_choices(trace, Pytree.const((\"camera_pose\",)) , all_data[T][\"camera_pose\"])\n", + "viz_trace(gt_trace, T)\n", + "viz_trace(trace,T)\n", + "\n", + "print(\"camera pose before\", all_data[T-1][\"camera_pose\"].inv() @ all_data[T-1][\"object_poses\"][OBJECT_INDEX])\n", + "print(\"camera pose after\", all_data[T][\"camera_pose\"].inv() @ all_data[T][\"object_poses\"][OBJECT_INDEX])\n", + "\n", + "print(\"Trace \", trace.get_score())\n", + "print(\"GT Trace \", gt_trace.get_score())\n", + "print(\"GT Greater than Inferred \", gt_trace.get_score() > trace.get_score())" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "trace = trace0\n", + "viz_trace(trace0, 0)" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "# rgbd = all_data[0][\"rgbd\"]\n", + "# mask = b3d.resize_image_nearest(trace.get_retval()[\"latent_rgbd\"], rgbd.shape[0], rgbd.shape[1])[...,3] > 0.0\n", + "\n", + "# point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + "# point_cloud_colors = rgbd[..., :3][mask]\n", + "# subsample_mask = jax.random.choice(key, len(point_cloud), (len(point_cloud),), replace=False)\n", + "\n", + "# learned_object_mesh_new = Mesh.mesh_from_xyz_colors_dimensions(\n", + "# point_cloud[subsample_mask], point_cloud_colors[subsample_mask] , point_cloud[subsample_mask][:, 2] / fx * 6.0\n", + "# )\n", + "# object_pose_in_camera_frame = trace.get_choices()[\"object_pose_0\"]\n", + "# learned_object_mesh_new = learned_object_mesh_new.transform(object_pose_in_camera_frame.inv())\n", + "# learned_object_mesh_new.rr_visualize(\"new_mesh\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "learned_object_mesh.rr_visualize(\"old_mesh\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "learn" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mesh(vertices=(58512,), faces=(29256,), vertex_attributes=(58512,))\n", + "-11373.451\n" + ] + } + ], + "source": [ + "START_T = 0\n", + "\n", + "# rgbd = all_data[START_T][\"rgbd\"]\n", + "# point_cloud_colors = rgbd[..., :3].reshape(-1,3)\n", + "# point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)\n", + "# point_cloud = point_cloud.reshape(-1, 3)\n", + "# key = jax.random.PRNGKey(0)\n", + "# m = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 20,), replace=False)\n", + "# background_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + "# point_cloud[m], point_cloud_colors[m] , point_cloud[m][:, 2] / fx * 6.0\n", + "# )\n", + "# print(background_mesh)\n", + "\n", + "# learned_object_mesh = background_mesh.transform(all_data[START_T][\"camera_pose\"])\n", + "\n", + "OBJECT_INDEX = 1\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "mask = all_data[START_T][\"masks\"][OBJECT_INDEX] == 1\n", + "point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + "point_cloud_colors = rgbd[..., :3][mask]\n", + "subsample_mask = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 3,), replace=False)\n", + "learned_object_mesh = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud[subsample_mask], point_cloud_colors[subsample_mask] , point_cloud[subsample_mask][:, 2] / fx * 6.0\n", + ")\n", + "object_pose_in_camera_frame = all_data[START_T][\"camera_pose\"].inv() @ all_data[START_T][\"object_poses\"][OBJECT_INDEX]\n", + "learned_object_mesh = learned_object_mesh.transform(object_pose_in_camera_frame.inv())\n", + "print(learned_object_mesh)\n", + "\n", + "\n", + "k = 5000\n", + "keys = jax.random.split(key, 2 * k)\n", + "rows = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[:k],\n", + " jnp.ones((k, renderer.height)))\n", + "cols = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " keys[k:],\n", + " jnp.ones((k, renderer.width)))\n", + "args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [learned_object_mesh],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + "},)\n", + "\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"camera_pose\": Pose.identity(),\n", + " \"object_pose_0\": object_pose_in_camera_frame,\n", + " # \"object_pose_0\": all_data[T][\"object_poses\"][0],\n", + " \"color_variance_0\": 0.1,\n", + " \"depth_variance_0\": 0.005,\n", + " \"outlier_probability_0\": 0.1,\n", + " \"blur\": 2.0,\n", + " }\n", + ")\n", + "trace = importance_jit(key, choicemap, args)[0]\n", + "trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "trace0 = trace\n", + "\n", + "rgbd = all_data[START_T][\"rgbd\"]\n", + "print(trace.get_score())\n", + "viz_trace(trace, START_T)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [02:00<00:00, 2.67s/it]\n" + ] + } + ], + "source": [ + "# Tracking camera pose\n", + "trace = trace0\n", + "traces = {}\n", + "for T in tqdm(range(START_T, len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.04, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + " for _ in range(3):\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"object_pose_0\", 1000\n", + " )\n", + " potential_traces.append(trace)\n", + " trace = max(potential_traces, key=lambda x: x.get_score())\n", + " viz_trace(trace, T)\n", + "\n", + " if T % 20 == 0:\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " mask = b3d.resize_image_nearest(trace.get_retval()[\"latent_rgbd\"], rgbd.shape[0], rgbd.shape[1])[...,3] > 0.0\n", + "\n", + " point_cloud = b3d.xyz_from_depth(rgbd[..., 3], fx, fy, cx, cy)[mask]\n", + " point_cloud_colors = rgbd[..., :3][mask]\n", + " subsample_mask = jax.random.choice(key, len(point_cloud), (len(point_cloud) // 4,), replace=False)\n", + "\n", + " learned_object_mesh_new = Mesh.mesh_from_xyz_colors_dimensions(\n", + " point_cloud[subsample_mask], point_cloud_colors[subsample_mask] , point_cloud[subsample_mask][:, 2] / fx * 6.0\n", + " )\n", + " object_pose_in_camera_frame = trace.get_choices()[\"object_pose_0\"]\n", + " learned_object_mesh_new = learned_object_mesh_new.transform(object_pose_in_camera_frame.inv())\n", + " learned_object_mesh_new.rr_visualize(\"new_mesh\")\n", + "\n", + "\n", + " object_pose_in_camera_frame = trace.get_choices()[\"object_pose_0\"]\n", + " learned_object_mesh = learned_object_mesh.transform(object_pose_in_camera_frame.inv())\n", + " # print(learned_object_mesh)\n", + "\n", + " args = ({\n", + " \"num_objects\": Pytree.const(1),\n", + " \"meshes\": [learned_object_mesh_new],\n", + " \"likelihood_args\": {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"rows\": rows,\n", + " \"cols\": cols,\n", + " },\n", + " },)\n", + " trace = importance_jit(key, trace.get_choices(), args)[0]\n", + "\n", + " traces[T] = trace" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/44 [00:00" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 56%|█████▌ | 25/45 [00:48<00:38, 1.94s/it]\n" + ] + }, + { + "ename": "KeyboardInterrupt", + "evalue": "", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[50], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m _ \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;241m5\u001b[39m):\n\u001b[1;32m 7\u001b[0m var \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.005\u001b[39m\n\u001b[0;32m----> 8\u001b[0m trace, key \u001b[38;5;241m=\u001b[39m \u001b[43mgvmf_and_select_best_move\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 9\u001b[0m \u001b[43m \u001b[49m\u001b[43mtrace\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mkey\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mvar\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m2000.0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mcamera_pose\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m700\u001b[39;49m\n\u001b[1;32m 10\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 11\u001b[0m viz_trace(trace, T)\n\u001b[1;32m 13\u001b[0m traces\u001b[38;5;241m.\u001b[39mappend(trace)\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/penzai/core/struct.py:630\u001b[0m, in \u001b[0;36mStruct.tree_unflatten\u001b[0;34m(cls, aux_data, children)\u001b[0m\n\u001b[1;32m 627\u001b[0m children\u001b[38;5;241m.\u001b[39mappend(value)\n\u001b[1;32m 628\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m children, StructStaticMetadata(child_field_names, static_fields)\n\u001b[0;32m--> 630\u001b[0m \u001b[38;5;129m@typing\u001b[39m\u001b[38;5;241m.\u001b[39mfinal\n\u001b[1;32m 631\u001b[0m \u001b[38;5;129m@classmethod\u001b[39m\n\u001b[1;32m 632\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mtree_unflatten\u001b[39m(\u001b[38;5;28mcls\u001b[39m, aux_data: Any, children: Sequence[Any]) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Struct:\n\u001b[1;32m 633\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Unflattens this tree node.\u001b[39;00m\n\u001b[1;32m 634\u001b[0m \n\u001b[1;32m 635\u001b[0m \u001b[38;5;124;03m See `jax.tree_util.register_pytree_with_keys_class`.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 649\u001b[0m \u001b[38;5;124;03m An instance of the struct.\u001b[39;00m\n\u001b[1;32m 650\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m 651\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(aux_data, StructStaticMetadata)\n", + "\u001b[0;31mKeyboardInterrupt\u001b[0m: " + ] + } + ], + "source": [ + "traces = [trace]\n", + "for T in tqdm(range(len(all_data))):\n", + " rgbd = all_data[T][\"rgbd\"]\n", + " trace = b3d.update_choices(trace, Pytree.const((\"rgbd\",)), b3d.resize_image_nearest(rgbd, renderer.height, renderer.width))\n", + "\n", + " for _ in range(5):\n", + " var = 0.005\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 2000.0, \"camera_pose\", 700\n", + " )\n", + " viz_trace(trace, T)\n", + "\n", + " traces.append(trace)\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# color_variance_sweep = jnp.linspace(0.05, 0.4, 5)\n", + "# outlier_probability_sweep = jnp.linspace(0.01, 0.4, 10)\n", + "# blur_sweep = jnp.linspace(0.001, 50.0, 30)\n", + "\n", + "# key = b3d.split_key(key)\n", + "# addresses= Pytree.const((\"color_variance_0\",\"outlier_probability_0\",\"blur\"))\n", + "# sweeps = [color_variance_sweep, outlier_probability_sweep, blur_sweep]\n", + "# scores = b3d.utils.grid_trace(\n", + "# trace,\n", + "# addresses,\n", + "# sweeps,\n", + "# )\n", + "# index = jnp.unravel_index(scores.argmax(), scores.shape)\n", + "\n", + "# sampled_indices = jax.vmap(jnp.unravel_index, in_axes=(0, None))(\n", + "# jax.random.categorical(key, scores.reshape(-1), shape=(1000,)), scores.shape\n", + "# )\n", + "# sampled_parameters = jnp.vstack(\n", + "# [sweep[indices] for indices, sweep in zip(sampled_indices, sweeps)]\n", + "# ).T\n", + "# print(sampled_parameters)\n", + "# trace = b3d.update_choices(trace, addresses, *sampled_parameters[0])\n", + "# trace0 = trace\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + " 0%| | 0/8 [00:00 info_gt_trace[\"pixelwise_score\"]) * (info_trace[\"pixelwise_score\"] - info_gt_trace[\"pixelwise_score\"])* 1.0)\n", + "b3d.rr_log_rgbd(\"rgb/gt_latent\", gt_trace.get_retval()[\"latent_rgbd\"])\n", + "# plt.matshow(info_trace[\"pixelwise_score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.5644295 -1.1604867\n", + "[0. 0. 0. 0.] [0. 0. 0. 0.]\n" + ] + } + ], + "source": [ + "i,j = 81,64\n", + "print(info_trace[\"pixelwise_score\"][i,j], info_gt_trace[\"pixelwise_score\"][i,j])\n", + "print(trace.get_retval()[\"latent_rgbd\"][i,j], gt_trace.get_retval()[\"latent_rgbd\"][i,j])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(-20.288393, dtype=float32)" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trace_focus = trace\n", + "# trace_focus = gt_trace\n", + "color_variance = trace_focus.get_choices()[\"color_variance_0\"]\n", + "depth_variance = trace_focus.get_choices()[\"depth_variance_0\"]\n", + "scores_inlier = genjax.truncated_normal.logpdf(\n", + " trace_focus.get_choices()[\"rgbd\"][i,j, :],\n", + " trace_focus.get_retval()[\"latent_rgbd\"][i,j,:],\n", + " jnp.array([color_variance, color_variance, color_variance, depth_variance]),\n", + " 0.0,\n", + " 1.0,\n", + ").sum(-1)\n", + "scores_inlier" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(-1.1604877, dtype=float32)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.log(trace.get_choices()[\"outlier_probability_0\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sampled_trace = (importance_jit(\n", + " key,\n", + " trace.get_choices().filter( ~S[\"rgbd\"]),\n", + " trace.get_args(),\n", + ")[0])\n", + "viz_trace(sampled_trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "viz_trace(gt_trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1.349655 -2.3011475\n", + "[ 0. 0. 0. -0.] [0. 0. 0. 0.]\n" + ] + } + ], + "source": [ + "i,j = 37, 65\n", + "print(info_trace[\"pixelwise_score\"][i,j], info_gt_trace[\"pixelwise_score\"][i,j])\n", + "print(trace.get_retval()[\"latent_rgbd\"][i,j], gt_trace.get_retval()[\"latent_rgbd\"][i,j])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_log_depth(\"rgb/latent_diff\", (info_trace[\"pixelwise_score\"] - info_gt_trace[\"pixelwise_score\"]))\n", + "b3d.rr_log_rgb(\"rgb/gt_trace\", gt_trace.get_retval()[\"latent_rgbd\"][...,:3])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3562.708\n" + ] + } + ], + "source": [ + "viz_trace(gt_trace)\n", + "print(gt_trace.get_score())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 76, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/far_posterior_likelihood.ipynb b/notebooks/bayes3d_paper/far_posterior_likelihood.ipynb new file mode 100644 index 00000000..86d1a835 --- /dev/null +++ b/notebooks/bayes3d_paper/far_posterior_likelihood.ipynb @@ -0,0 +1,705 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## L2 distance test\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "## posterior grows as object is moved into distance" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0)\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)\n", + "\n", + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in [9]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "cam_y_distance = 0.8\n", + "\n", + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -cam_y_distance, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")\n", + "\n", + "\n", + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.05,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 2.0,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0, # 100\n", + " \"depth_tolerance\": 0.005, # 0.005\n", + " \"inlier_score\": 5.0,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 1.0, # 10000.0\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "distances = jnp.linspace(0, 1.5, 4) - 0.3\n", + "\n", + "gt_images = []\n", + "\n", + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]\n", + "num_points = 4001\n", + "model_scores = []\n", + "dist_min, dist_max = -0.1, 0.1\n", + "\n", + "for model_ind, model in enumerate(models):\n", + " model_scores_distances = []\n", + " for distance in distances:\n", + " point1 = jnp.array([dist_min, distance, 0])\n", + " point2 = jnp.array([dist_max, distance, 0])\n", + "\n", + " # 0.1 is horizontal range\n", + "\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + "\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + "\n", + " split_poses = linear_poses.split(10)\n", + " logpdfs = []\n", + "\n", + " rgbd_im = render_rgbd_many(\n", + " renderers[0],\n", + " jnp.array(\n", + " [linear_poses[len(linear_poses) // 2].apply(object_library.vertices)]\n", + " ),\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + "\n", + " gt_image = rgbd_im[0, ..., :3]\n", + " gt_images.append(gt_image)\n", + "\n", + " gt_image_depth = np.array(rgbd_im[0, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + "\n", + " for split_pose in split_poses:\n", + " pose_distances = split_pose.pos[:, 0]\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: split_pose[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(split_pose)))\n", + "\n", + " N = len(split_pose)\n", + "\n", + " rendered_imgs = render_rgbd_many(\n", + " renderers[0],\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + "\n", + " logpdfs.append(\n", + " model(observed_image, rendered_imgs, model_args[model_ind])[0]\n", + " )\n", + " logpdfs = jnp.concatenate(logpdfs)\n", + " model_scores_distances.append(logpdfs)\n", + " model_scores.append(model_scores_distances)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
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fvnxi0aJFIiUlRUqXkZEhFi9eLFxcXKT0vXr10vveP/roIymti4uLGDdunHj69KkszcuXL8X48eNlN9fTp0/Xm6+xJk2aJPteW7VqJaKjo2Vpzp49K+rUqSNLt3TpUtU8tS9wM3fGkiVLit27d8vSPXjwQPTo0UOW75dffqmar7E76YEDB2SfVatWrcTJkyd10m3fvl1281+zZk3Vi5tXr16JcuXKyQ4qQ4YMEXfv3tVJe/fuXTF9+nRRqlQpWbDA1PdhCe0LhMzvoFq1ajqfQ3R0tGw/ACB+++031XwPHTok+2yDg4PF3r17ZWkeP34swsPDZXmGh4cr5nf8+HFZutGjRyveFKalpYmDBw+KwYMHi27duinmpfRE2Bi2PmZk3gB6enqK2bNn69xwZN3fjAkWpKSkiCpVqsiOHT///LN49eqVlCY1NVUsWbJE9uQ0ICBAPHnyRDHPrMGCzHoPGTJE51h/7do1xTyM8eDBA9mNtpubmxg3bpzi+eTq1atiwoQJomDBgoq/i+vXr8tu6goWLCgiIyNlAa+4uDgxcuRI2U3S22+/rRpwtdXxPikpSZQuXVpKmydPHjF79mxZa56EhAQxceJE4eTkJDQajSzgY26wIJMxgQcl2r8JtYvn2NhY2T7k5eUlFixYIPu8EhMTxbRp02TB73LlyqnegGu/Lw8PD+Hm5iZcXV3FlClTZL9zIYTYvHmz7HfeoEEDve9p4sSJUlqNRqN4LE9OThazZ8+WXZsMHTpUNc/58+fLPqvQ0FCd1hOnTp0S1apVkx2XDX1vptAO8GWe006dOiVLc/PmTdGuXTtZuu+//141T+0L/8zfY7ly5XSOTQkJCWLIkCGyfOfPn2+V96Vdh8zAd40aNcSJEydk6a5duyZrxViqVCmxYsUKAby+UYiIiNA5Nrz77ruy8/rly5dV62HMvqDN2H3z559/luUdFhamc265dOmSCA0NNfm3818OFly8eFF2fC5evLjYsWOHLM3Dhw+l69CsN4+2ChYI8bp1ZuZyR0dHcfHiRcXtjQ0W2PpcaMp1TE7ZXydMmCDq168v5s2bpxoU2b9/v6hdu7aUp5+fn96HWwwWGPD48WOdqI6np6cIDw8XERERFrU0qFmzppSnv7+/OH/+vMFt1Jqkajdnrlmzpt4vPTU1VbRu3VpKr3ZDo73DAK+bLCndBGaaOnWqLK1aM+zdu3dL6VxdXXVuurLSPrh4e3vrbZZrjEePHskijW3atFHt4vDq1StRq1Yt2QFArRVA1ub2BQsW1Pv76NWrl5TWyclJtUmWMTtpamqqLADwySef6G2F8fDhQ1GkSBEpvVoQ5Msvv5QdoFatWqWap3ZdlJpJZXewAIAoX768iIuLU0ybkpIia37v7e2tut9UrVpVduLV1/ph4MCBsjooPe3TfmprKLCWSe03am6wIDuOGY6OjiIqKsqo+hgTLMjauiMzIq/k4MGDsgumjz/+WDFd1mABAPHDDz8YVWdTaLdkypMnj1GfS0JCguL33qlTJ9nvVu2CS4jXLVC039vKlSsV09nqeD958mQpnUajERs3blTNM+uNJ5CzgwXDhg2T0jg7O+v9TlevXi3LU7v5qdr7yvzMtmzZoprvmjVrZOmzBuEyXb58WXr6ptFoxPLly9XfvBBi7969UmspR0dHxc8gMTFRdqOhrxVCXFycLPBs6HszVnJysqzFXLVq1VR/i+np6aJ9+/ay70ztHJ21m1fZsmVVW/kIIURYWJiUtmHDhha/L6U6VK5cWfX659q1a7Knqy4uLsLT01P12JCSkiJr9TFmzBjVehizL2gzZt+MjY2VXVuHhYWptu5LSkqSPaU15rfzXw4WaLfaLVCggN56al+HWvN9qQUL0tPTZV223nnnHcXtjQ0WZMe50NjrmJyyvxrqApspMTFR9kB01qxZqmkZLDDCwoULdXYm7b9ChQqJjh07iqlTpyo29VWya9cuWR7r1q0zu3537tyRTuouLi5GPf26c+eO9EN1c3NT7DefdYfRF4UX4vUPVLt/1L59+xTTtWrVyug8M2nfqMyZM8eobdT8+OOPUl4eHh56myMJ8bqFgfZTZbWnBlmDBfpaIQjx+mSp3Uz+m2++UUxnzE66cuVKKc1bb71lVDPIVatWSdvUqVNHZ/3z589lzYP1PV0yhj2CBWq/wUxZD9jz5s3TSfPPP//I8ly/fr3ePBMTE2X1UAoGaDc3mz17tmlvMgtzggXZdcww1HVHm6FgQUZGhnjrrbekNJ06dTKY54gRI2T7ulKdswYLKlWqZLBLiqmuXr0qa3poSQup27dvy45HM2bM0Js+IyNDdkGg9vTZVsd77Quc7t27G3x/WcfPyKnBglevXol8+fJJaYYNG2YwT+2+2cWLF1cMBGUNFqgF5jJlZGTodL9S8vHHHxudZ6ZPPvlE2ubrr7/WWZ/1KeGFCxf05hcVFSV7b9a4OVq+fLmUn0aj0RvgEuJ1oFz7vDZ69GjFdFkv/A2dS7I+BLFGV4SsdTDUzSRrk361gFQm7WuhZs2aqaYztC9kZcy+OWvWLCmNm5ubYmtFbRcuXJA9GWawQNnt27dl55q5c+fqTZ/1OtRa70stWCCEEGvXrpXts1lbAQlhXLAgu86Fxl7H5JT91RTa96LNmzdXTWeN6/c3ejYE4PUIyn/99Rf8/PwU1z948ADr1q3D559/jsqVK6NSpUpYsWKF3pGPV6xYIb2uVKkSOnToYHb9Vq5cKY363a5dO5QqVcrgNkWKFEHjxo0BAElJSfjnn38MbvPhhx/qXe/h4YGqVatK/1+6dEknzZMnT/D3338DAJydnTFw4ECD5QJAz549pddqI4gaS3sWgm7duiEwMFBv+goVKuDtt99W3F6Nn58funfvrjdNvnz5ZO/L2NkRlPzxxx/S64EDB8LJycngNp06dUKePHkAvB7lNeuoqJs2bZJGY3d2dsbXX39tdv3soXLlymjYsKHeNKVKlUKrVq2k/5W+A+1lQUFBaN++vd483dzc8PHHH0v/b9iwQWcEWzc3N+n1mTNn9OZnC9l1zBgwYIBlFdVy6dIlXL58Wfp/yJAhBrcZPHgwHBxen6JevXqFnTt3Gtymf//+0jbWsmrVKuk34Ofnh08++cTsvDZt2oT09HQAr4+5/fv315teo9HIPqsDBw4gJibGYDnWON6fP38eV69elf435nj/2WefGUyTE0RFRUkj/Gs0GgwePNjgNsOGDZNe37p1C6dOnTK4jaF9SKPRoH79+tL/St9DRkYGli9fLv0/dOhQg+UChs+72sfGJk2aoGzZsnrza9SoESpWrGhU2cbSrkPjxo1RpUoVvekDAgLQo0cPxe3VhISEGDyX1K1bVzpuJCcn48aNGwbzNUX58uVRu3ZtvWlq1aolvdZoNAgPD9ebXjs/Y2eJsJYtW7ZIr9u1a4fChQvrTV+2bFk0atTI6Pxv3rwJ8fphptGz67wJtK83vLy80Lt3b73ps16HZodOnTqhevXqAAAhBEaPHm1WPtl1LjTnOia37K/aeR4/ftwqeap544MFwOubyuvXr2PatGmyCyQlZ8+eRY8ePdCuXTtpypes9u/fL73u3LmzRXXTzqtp06ZGb1ehQgXp9cmTJ/WmDQoKQsGCBQ3mqX3AV5oq6cCBA1IQpXLlyvD19bV6XfVJTk6WXaC1bt3aqO3atWsnvT5y5IjB9M2aNTPqhl27/EuXLpk1jYkQQjbtmLG/AWdnZ5QpUwbA62m/Tp8+LVuv/buqX78+AgICTK6bPWkHAfTR/g6OHTums177+zY2T+3fS3x8vM4FfOaJEgDmzp2L6dOnIzEx0ai8rSE7jhne3t5WvTHQ/h48PDwMXrwDr49H2sdrY/bdBg0amFdBPbQ/73bt2sHFxcXsvLTfQ6NGjeDh4WFwmzZt2simfTQ0vae1jvfa+5OXlxfq1atnMM+WLVtadYpKW9H+HkJCQoya9qxOnTrInz+/Yh5KXFxcZMcKNYa+h9OnT0vXIn5+fkbvl9r7+6lTp3QegGh/vy1btjQqT2PPucbS/gzNOZ9fuHDB4BSldevWNZhn5hS6maw9VaShGw8Asn22ZMmSKFCggNHps2tqy0zav50mTZoYtU3W6XZJl/bn2qhRI9mDCTXW3ieNoT114qZNm8yaqjU7zoXmXsfklP31xo0bmD9/PgYPHozu3bujXbt2aNWqlfTXpUsXKW1sbCwSEhKMytcchu+I3hBeXl4YNmwYhg0bhidPnmD//v04evQojh8/jiNHjujc6G3ZsgVdu3bFtm3bZE+qMjIycOXKFel/Yy4G9Dl37pz0esGCBdi4caNR22nPzWwoumbMhSMA6Uk1AMUfnXZdb9++bfTNl/aNlDGRQDV37txBSkqK9L+xBwHtdE+ePEF8fDzy5s2rml77Ikuf8uXLS68zMjIQHR2NypUrG7Vtprt378oOHEOGDDEqUAG8frqVKevnqh25tPQ3ag/mfAdPnjxBXFwcvL29pWXa+4mxv5eQkBA4OTlJT++vXbuGcuXKSeu7du2Kb775Bvfu3UNGRgaGDRuG7777Di1atEBoaCgaNmyIihUr2uymKTuOGUFBQVatv3bZ5cuXN/rpf8WKFXHixAmdPNQY08rCVNbcl8z5PebNmxfFixeX5gU39DlY63ivXU65cuWM+j14eHigRIkSVn8ya23mfA+ZaTOfdBr6HvLnz2/UsdyU825ycrLR511tKSkpiI+Pl46NqampsvOHOcdbS6WlpcnqYM75PCMjAzdu3EClSpVU01trf7CEMcF67fL9/f1NSm/Lm4SskpKS8OTJE+n/kJAQo7Yz1HKF5McUe+yTxmrVqhUaNGiAAwcOAABGjx5tVMs/bdlxLjT3Osbe++ulS5cwZMgQ7NixQ28r96zi4uJk5VjTfyZYoK1AgQLo3Lmz1CogLS0NO3fuxKRJk7Bnzx4p3Y4dO/Dnn3/i/fffl5bFxsbKvjxD0SRDnj59Kr3+999/zcojLi5O73pznoQp/UC16/r48WOpS4IpDNVVn6zROO0nAfpk7YISGxurN1hgbL5Z05kT3df+TAFg165dJucB6H6uz549k15b+hu1B0u+A+1ggfZ3YmyeTk5OyJcvn3RDHRsbK1ufJ08ebNy4Ee3atcP9+/cBvG6BEBERgYiICACvf3Nt27ZF//79jXqKborsOGZ4eXmZla8ac74HQL7vZv0elFi73oB19yVLPofMCyRDn4O1jvfa5ZhS1/z58+f4YEF2/B5tcd598eKFWeddALJAqrnnUlM+K0OseT7Xx1rfgyVMrYMlrZdsLev3li9fPqO20z4vkzJzjrnW3CdN8cMPP0hdG3ft2oU9e/YY3coEyJ5zobnXA/bcX/ft24fWrVubFQBMTk62Wj2y+k90QzDEyckJrVq1wu7du/HNN9/I1s2bN0/2f9Yvw9XV1aKyX716ZdH2AHT6VNuKNepqyUk462dv7A6aNZ2hHcrYfLN+9+bsqNb4TAHd34B2XSz9jdqDtb4D7f9NOaBrp1X6XqtWrYqLFy9iwoQJKF26tM76mJgYLFmyBI0aNUK7du0salGTVXYcM6zd799W30NW1q531nIt3Zey63OwBu1WXKbUNTccb3LT92CLc4T2dwuYf7y1RHadzylnsMWx+U1jzjHXXsfbRo0aoXnz5tL/o0aNMmn77DgG57bfXHx8PLp16yYFCry8vDBkyBBs3rwZV69exYsXL5CWliaN52HtoKY+ueuTzAbjx4+X+oIDr/vVZDZHBnSjqJY8KQfk0dbVq1fLfgTG/i1evNiiOphT17Zt25pVV0t+3Fkj04b6KqqlMxQJNzdffa0V1GR9T0+ePDHrM+3bt68sH+33aOlv1B6s9R1of77G5pk1rdrvJW/evBg1ahSuXr2K6OhoLFiwAL1799YZ7Gnz5s1o1aqV7Dhiidx0zFCqs7W/B1uz5r6Umz4H7X3J3LrmVLnpe9Cua/ny5c0+72qPy5D1OGnu8dYS2XU+J9NkDjqnJuv3Zuwx0ZiWYf915hxz7Xm81R674NChQ9i8ebPR2+amY3B2WbhwIR4/fgwA8PHxwYkTJzB9+nS0adMGpUuXhqenJxwdHaX02fndM1iQhYODgyxalpqaKmsGmCdPHlnTFu3Ros2h3Tcm80eSU9m7rlmbABvb1DU6Olp67ejoCB8fH73pjc03azpj+i1llbVvlLU+V+1+mpb+Ru3BnO/AyclJZ9BN7d+MsXk+efJEdhA2pul5yZIlER4ejiVLluDOnTvYv3+/1EQPAE6cOCGbRcUS9t4PzWHO9wDI9117daex5r5kzucghJClza7PQft4ltns0xAhhNFp7Sk3/R5tsb97eXnB3d1d+t/Y78ya3Us8PT1ldTDnfA7kzm522cnZ2Vl6nZqaajC9oe6U7u7usq4gSjN4KDE23X+ZOcdce3b5qlWrlmw2uG+//dboB4K56VyYXXbs2CG9HjJkCIKDg/Wmv3fvnq2rJGGwQEHWfi7aB1vg9ajImfbt22dRWdp5mTOiaHbSruvp06eRlJSUreUHBATIpko0NBJqJu1RVytWrKjzfWZlbL7a6fLly4egoCCjttNWoEABlCxZUvrfWr8B7e9q//79FjdX0m7OlR1Nn8z5DsqXL6/TnK1atWom56n9e9FoNAZnUMlKo9GgQYMG2LZtm2zwp+3bt+ukNedzzU3HjEza38PNmzeNuulJT0+XTQeknUd2subx3pzf4/nz52UD8GbX56D9u79+/brO+CpKLl++rDqLkDlsddzR/gz//fdfo2+itKf/zK7vQfv39+TJE1y/ft0q+WpPU2jO8dYatH9j5hyffXx8jJrJ4r9M+3rWmKf72gNqqqlRo4b0WnucL32ioqKMSvdfZs7+YO190lTjx4+XBhH8999/sWbNGqO2y03nwuxy+/Zt6bX2Pqbm0KFDtqyODIMFCrRnO3Bzc9N5Eq3d8mDNmjWyAbBMpT1l0fr163N0k/HatWtLTYdSUlKs9qTUFNqDxRlTflpaGlatWqW4vZojR44YFdVduXKl9Lp+/fpmjx6v/RtYsmSJWXlkpf0bvX37tuKNqim0p7XJjmkCN2/ebHAqyoyMDKxevVr6X2naPO3ve8eOHUaNHbBs2TLpdYUKFcxu6ubm5ib7bh89eqSTxpzPNTcdMzLVqlVLCuQIIWT7pJodO3bIggrWHijSWNr70oEDByx6Qqb9Hs6fP4+zZ88a3Eb795gvXz6jR8m2VNbvTHtfU6N9TLQGWx13tL+H58+fY9u2bQa3WblypdRE29HR0agp+ayhaNGispHkrXWO0P4M1q5da7Cb1MuXL01qZmxqHdasWWNU0EZ7f2jQoEGumKrTnooVKya9PnPmjMH069evN5imTZs20utNmzbhwYMHetNfunSJwQIjaO8PZ8+eNepcY+1jrqkqVqyI9957T/p/zJgxRo2jlpvOhdnFmOOftuzsTvpGBwu2bt1q8sBiN27cwNatW6X/Q0NDdU5G4eHh0vQUCQkJGDJkiNl17Ny5M4oXLw7g9eAWn3/+udl52ZqLiwsGDhwo/T969GjFGyBbCg8Pl16fPHlSGn1ezYwZM3D37l3p//79+xssQwiB0aNH602zY8cO2ckv65gBphg8eLD0BG3fvn2yA6K5atasiVq1akn/DxkyxKLplbSbYhszhZ2lXrx4gZ9++klvmgULFsiesil9B++99560r6akpGDs2LF68zx27Jjspkjp92LKE07t7gxZu0gA8s/1+vXrRuWdm44Zmby9vWVzAk+cOFHvE+i0tDTZYLNVqlSx21OEjh07okiRIgBef/cff/yxwX69apo3by7lBQAjR47Um/727duYNWuW9H/fvn1lfRZtKV++fAgLC5P+//HHH/UOtvfkyRPMmDHDqnWw1XEnJCREdrM/ZswYvTfLL168wPjx46X/w8LCzOp2Zq5hw4ZJr6dNmyabztNc2rM83bt3D7Nnz9abfuLEiQYDuKbq16+f9Prhw4cGfz9r1qyRtSww5nz+X6f9tNpQwG/NmjVGzbDTq1cvqQtJYmIiPvnkE9UbxJSUFHz00UfZNhB3bta8eXPZMc/QoIFZr0PtZdy4cdJ56eLFi0YFMHLTuTC7FCpUSHp98OBBvWlXr15tcUtHU7zRwYI///wTQUFB+PLLL406uV68eBGtW7eWPcEYMGCATrr8+fNjxIgR0v/Lli3DwIED9TbLj42NxZQpU3SWOzk54eeff5b+X7BgAT7++GODN3avXr3C4sWL0axZM73prG348OHSAG73799HaGioUc3WDh8+jHfeeUfWJ8cczZs3l90E9+/fX7Upzvr162UHoHbt2qFy5cpGlfPnn39i0qRJiuvOnTuHnj17Sv+XLVtW1m/LVCEhIbLfWf/+/TFnzhyDN44PHz7E+PHjMWjQIMX1P/30kxSEuHz5Mlq0aKH3CUBqaioWLVqk2KpC+0bt1KlTRjc9tMTEiRNVW4/s2bNHFqRr1qyZYrOtfPny4dNPP5X+/+233/Dbb78p5nnlyhV07txZuqgJDAyUXcxm6t69O37++WfZXNNKTpw4ITtpNmrUSCdNxYoVpbnYnz59iqVLl+rNE8h9x4xMI0aMkN7rgwcP0LlzZ8WAQUpKCvr16ye7aDUUvLMlZ2dn2UBOUVFR6Natm94WHQkJCZg+fbrOzbWjoyO+/vpr6f/Nmzfj66+/VryQfvjwIcLCwqQ8PD09MXToUAvfjWlGjBghHUPu3LmD9957T/F39vz5c3Ts2NGs6WP10T7u/PXXX9JUpdagfSF+6tQp9O3bV2eWAOB1QK5z585S2Y6OjgYvbK2tT58+0rnr5cuXePvtt7F//36D2507dw4ffvghFi1apLOuQoUKaNu2rfT/l19+qXp+XrFihcHgrTneeustdO3aVfr/m2++wbp16xTTHj58WPawoHLlymjXrp3V6/Sm6dSpk/R6+/bt+OuvvxTT7d+/3+jgi4+PD7799lvp//Xr16NLly64c+eOLN2VK1fQunVr7Nu3T2fKS31KlCgBjUYDjUaD0NBQo7ezFmuXf/PmTSk/jUaj+tDCyclJFvxfu3atLEipLet1qD0FBwejT58+0v/GjO2T286F2UF7nKtZs2aptrb4+++/LXpAaRbxBuvZs6cAIP1VqVJFDBo0SCxevFhs3bpVHDhwQGzbtk38+uuvomPHjsLJyUmWvnPnzqp5p6WliaZNm8rSFy1aVIwcOVKsW7dO7N+/X2zdulXMmDFDdO7cWbi5uQlvb2/V/IYNGybLy8/PTwwePFisXLlS7NmzR+zZs0esXbtW/Pjjj6JDhw4iT548AoAICAhQzG/RokVSXo0bNzbq8+rTp4+0zXfffaea7vDhw8Ld3V1K6+DgINq3by9+//13sW3bNrF//36xefNmMWfOHDFgwABRvHhxKe3WrVuNqos+Fy5ckN4/AOHo6Cj69u0rIiIiRFRUlFi5cqXo1q2b7PPMnz+/uHfvnmqejRs3ltJqbxsaGioWLVok9u7dK9avXy8GDRok3NzcZGXv27dPNd/vvvtOStunTx/VdElJSaJOnTqyOpctW1aMGTNGrFu3Tuzbt0/s2LFDrFixQowcOVI0bNhQODg4CADi3XffNap8AMLDw0N8+OGHYsWKFWLv3r1i586dYuHCheKDDz4Qfn5+AoD4999/FfOqUqWKLK9KlSqJtm3big4dOkh/jx49Uq2LIdq/k3feeUd63bFjR7F8+XIRFRUlIiIiRJ8+faT3nvmerly5oppvQkKCKFeunKzuzZo1k77XDRs2iKFDh8p+Uw4ODqq/1czfipOTk2jevLkYN26cWLNmjdi7d6+IiooSy5cvF/369RMuLi5SfsWKFRPx8fGK+XXs2FFWtzJlyojWrVvLPtezZ8/qbJcTjhmZtL+7PXv2qKYbN26crM5FihQREyZMENu2bRO7du0S06dPF2XLlpWl6d69u2p+N27ckKW1pd69e+scU4YOHSodd/7++28xZ84c0bNnT+Hl5SUAiNjYWJ18MjIydM4dNWvWFLNnzxa7d+8WW7ZsEaNGjRL58+eXpZk7d65q3Wx5vB80aJCsHqVKlRJTpkwRO3bsEH///beYMGGCCAwMFABE6dKlRbVq1aS0ixYtUsxzz549UprixYurlv3w4UPh6uoqpXV1dRV169YVYWFh0r7x4Ycf6mynXd8bN26o5t+vXz9Z2pCQEDFt2jTpvf3444+iWLFisjQjR45Uzc/Y96XN2HNEdHS0zm+iadOmYtq0aWLLli3SNcfChQvFoEGDZPvR7NmzFfO8ceOGyJs3r+y416tXL7F69WrpWNapUydp/bvvvmvy+zPk0aNHIiAgQPa+unTpIh3z16xZI/r37y+7PnNzcxOnT59WzdPY37Y2Y49hxjK1Dqbuw8Ye+1JTU2XnP0dHR/HBBx+IDRs2SN9x9+7dpXNqr169jPqOU1NTRfPmzWV10Gg0omLFiqJJkyay35+Pj49YunSp9H9wcLDe96b9XZh6LtLH2OOCseUbu79n/a70/R5SU1Nlx1AAolGjRmLBggWK16Ha+6Sh92Us7d9i/vz5jdrm5s2bsmuezL/q1aurbpNTzoVC5Iz99d69e7J7K09PT/Hll1+KLVu2iKioKPHHH3+Izp07S+s/+OADo757Y88x+rzRwYKsF3em/PXs2VMkJyfrzT8hIUHnQl/fn75ggRBCTJgwQWg0GpPqaY9ggRBCHDt2TBQuXNjkz9UawQIhhNi/f7/w9vY2qsyCBQsq3mxp0w4WLFq0SIwePdpgvg4ODuKPP/7Qm68pO+nLly9lBwJj//QFC4QQ4ocffjDpd6UWLDh27JjIly+f3m0tOVFlvVjTvmhR+3NzcxO7du0ymPf9+/dFhQoVjHr/zs7OYsWKFap5af9WjPnz9/dX/UyFeH0SKVKkiN481C5e7X3MyGTKhfbnn39udF07d+6s9zicncGCtLQ08cknn5j0WSsFC4QQIj4+XoSGhhqdz+TJk/XWzZbH+9TUVKPOc/ny5RPHjx/XOZYqMeWmeu7cubLgYNY/pe2NPSalpKSI9957z+jvYdCgQSIjI0M1P1sGC4QQ4tq1azqBT2P+1IIFQgixb98+WaBU7e/999836/0Z48KFC0ZfT3h5eRk8xjBYIHf06FHh6elp8LP94osvTPqOX716Jbp06aI3z+LFi4vjx4+LrVu3Sstq1KihN9//crBACCEePHgggoODDX5fFSpUEM+fPzf6fRnLnGCBEEJ89tlnOnXUFywQImecC4XIOfvr0qVLjbqma9iwoUhMTDTqu7dGsOCN7obwv//9D5s3b8aHH36I0qVLG0zv7OyMsLAw7NixA8uWLdMZWT0rd3d3rF27FqtWrTI40EalSpXw448/6k0zatQonDp1Cl27doWrq6vetCEhIfjqq6+wd+9evelspUaNGrhw4QK+//57WR8rJT4+PnjnnXewceNG2WBhlmjQoAHOnTuHXr16qX5P7u7u+PTTT3H27FmTB0IZP348lixZIutTpa1SpUrYv38/evXqZXSehgZi8vDwwJo1a7BhwwbUrVtXb3pHR0fUq1cP06ZNw6+//qo332+++QZHjx5Fy5Yt9fbxKly4ML766iuUKlVKcX2NGjVw7tw5jBo1CnXq1IGvr6/UrNwW/vjjD0yaNAn58+dXXN+wYUOcOHECTZs2NZhXoUKFcOTIEXz33XeqU2c6ODigdevWOHnypGzAnqy++uordO/e3eC0PV5eXvj4449x7tw52cjjWZUoUQKnT5/GxIkT0ahRI/j7+xs89mTKTceMTFOmTMGWLVsMfiaLFy9GRESE0Z+FrTk6OuL333/Hjh07DO6fpUuXxoQJE+Dp6am43svLCzt27MCMGTNk/RSzqlevHg4cOIAvvvjC4vqby8nJCWvWrMHkyZNVB/sMDQ3F8ePHUb16dauXP2DAABw9ehQDBgxAhQoVkDdvXtksCZZwdnbG8uXLsWzZMtXjHvC6yf6GDRswc+ZMuw6oV6pUKZw8eRIzZ86UzaKjxNPTE2FhYVixYoXeJqsNGzbEyZMnVZtb58+fH5MmTTKqi5S5ypYtizNnzmDw4MGyQS21OTs7o3v37jh37pxdmqbnZjVr1sTevXtVx30pUqQIli5dismTJ5uUb548eRAREYGtW7eiW7duKFKkCFxcXODv7486depg2rRpOHXqFKpXry4brNaULgn/RQULFsTRo0fRv39/xdm7XF1dER4ejkOHDkmDjucEo0aNksaIMlZuOhdmh/fffx/r169XnV3Nx8cHo0aNwu7du+Hm5pZt9dIIkQ3zoNlIYmIiJk6ciJUrV+L27dvw9fVFq1atMH78eKlfvbbHjx/jwoULiI6ORmxsLJKSkpAnTx7ky5cPgYGB2LBhAzZv3oyHDx+iYMGC6NSpE8aOHat6gZSeno6ZM2di4cKFuHbtGtzd3VGmTBk0adIEHh4e8PLyQlBQEKpXry6rjxACS5YswcKFC3Hu3DkkJiaiUKFCqFOnDkaNGoXy5csjMTERBw8exI0bN6Qpq7y9vVGyZElUrFhRNoVgTnDmzBmcPn0aT548QUJCAjw9PVG4cGGEhISgfPnyVru4U/LixQvs3bsXt2/fRlxcHHx8fBAUFITGjRvL5nE2R0ZGBvbt24crV67g6dOnKFCgAKpXr270dHqjRo2SgkQfffQR5syZY3TZT548wcGDB3H//n3ExsbCxcUF+fPnR3BwMCpXroy8efOa/H5iY2Oxb98+3L17F7GxsXB3d0fhwoVRqVIllCtXzuT8rKlEiRK4desWgNdjEmReEKakpGDPnj24fv064uLiEBAQgPr166NMmTJmlZOWloZ//vkHly5dwtOnT5EnTx4ULlwYjRs3Nnne3qtXr+LChQu4ffs2Xrx4AQcHB/j4+KBcuXKoUaOGxb8/U+S2Ywbwes70Q4cO4dGjR0hPT0eBAgVQrVo1o8cWsacHDx7gwIEDePjwIeLi4uDh4YGiRYuiatWqem88sxJC4NixYzh79iyePHkCV1dXFCxYEA0bNlQNVtpLcnIydu3ahWvXriE5ORmBgYGoXbu2UcH43ODs2bM4efIkHj9+DI1Gg4CAANSpU8fgfNf2cvXqVRw/fhyPHz/Gixcv4OHhgYCAAISEhBg1TbBSfgcPHsTDhw/h7e2NoKAgNG3aNFsDdklJSdi3bx+uX7+OZ8+eIW/evChWrBhCQ0PNOueR3KlTp3D06FE8ffoUvr6+KFOmDBo1amTzweIGDRokDVD31Vdf2WQMjDfR06dPsXPnTty+fRvOzs4oWrQomjRpojhgcm6Xm86FtpaWloZDhw7h9OnTiI+Ph5+fH0qUKIHQ0FC7PEDJtcGCpKQkNGnSBIcPH0ahQoXQsGFD3Lx5E0ePHkWBAgVw+PBhg5H3TDExMahbty6uXbuGkiVLokaNGjh//jzOnz+PMmXK4NChQzo7ZkZGBrp27YrIyEjky5cPzZo1Q0xMDPbt2wd3d3fs2bNHNhCfdr07deqEbdu2wdfXF/Xq1YO7uzuuX7+OU6dOYfHixSY9raac7dNPP5VGmR4xYoRsYDqSUwsWEBERUe6UmJiIYsWKSbOTrV+/Hu3bt7dzrYjIWLZrQ2xjEyZMwOHDh1G3bl1s375dau45bdo0fP755wgPDze6ue3QoUNx7do1dO7cGatWrZKaVg8ePBi//vorhg8frjOf5cKFCxEZGYng4GDs378fAQEBAF5PPdO1a1f07NkTFy9e1Gmm/fHHH2Pbtm348MMPMWPGDNmTxwcPHpg8zyblbNozReTUp1NEREREphBCGOyWI4TAZ599JgUK/P390bp16+yoHhFZSa5sWZCSkgJ/f3/ExcXh5MmTOk3CK1eujDNnzhjVh/LBgwcoUqQInJyccPv2bemmH3jd5LJo0aJ49uwZ7t+/L5tXuVy5crh48SIiIyPRsWNHWZ4dOnTAhg0bEBERIZtb/OjRo6hduzZq1aqFw4cP27XvI9netm3b0KZNG2kKxMuXL5vddP6/gC0LiIiIcoeOHTuiUqVK6NatGypWrKiz/sSJE/j222+xdetWadkvv/zyRk57R/Qmy5UDHB48eBBxcXEoVaqUYt/xzHl7N27caDCvbdu2ISMjAw0bNpQFCoDXg4iEhYUhPT0dW7ZskZbfuHEDFy9ehLu7u2yeYkPl/+9//wMAfPbZZwwUvKF27NiBFi1aoEKFCmjdurUUKAgNDWWggIiIiN4IDx8+xPjx41GpUiX4+PigVq1aaN68OerVq4eAgADUqFFDFiho06YNhgwZYscaE5E5cmU3hNOnTwOA6siumcvPnDljlbwWLlwoyytzmwoVKigOIKRW/u7duwG8HtUzOjoaK1aswJ07d1CgQAG0atUKDRo0MFhfytnu3buHHTt2yJYFBgZi3rx5dqoRERERkXVpD1z9/PlzHDt2TDGdo6MjBgwYgBkzZvBBGVEulCuDBbdv3wYA1dExM5dnNmm2dl7mbJOUlITr168DeB00GDRoEJKTk6X1P/zwA959910sXbo0x0wVRubz8PBAUFAQ2rZti88//9zkUfaJiIiIcqqtW7di/fr12L17N06fPo07d+4gPj4eGo0Gvr6+KFmyJEJDQ9GnTx+2rCTKxXJlsODly5cAoDqfZ+Y8vS9evLBJXuZs8/z5c+n1p59+ivbt2+OHH35AoUKFsHv3bgwYMACrVq1C0aJF9c51m5ycLAsyZGRk4NmzZ8ifPz8jtjlA586d0blzZ53l8fHxdqhN7pK1JQ4/MyIiopxJo9GgY8eOOuN2KeH5nHIDIQRevHiBwMBAm075ntvkymBBbpSRkSG9DgkJwerVq6UfYqdOneDq6oq2bdti1qxZ+Pbbb1XnE544cSLGjRuXLXUmIiIiIiL6r7hz545q6/H/olwZLMicJjEhIUFx/atXrwAAXl5eNsnLkm0AoHfv3joRqzZt2sDf3x+PHz/G0aNH8fbbbyvmPXLkSAwfPlz6Py4uDsWKFcOdO3dUAwxERES2EpeYil92XNFZ3rxcAOqX9tNZPmX7ZbxMSpMtKx+YF91qFLVZHYmIiPSJj49H0aJFjbp//C/JlcGCYsWKAQDu3r2ruD5zefHixW2Slznb5M2bFz4+PoiNjUWJEiUUtytRogQeP36Mx48fq9bX1dUVrq6uOsvz5s3LYAEREWW7dMcUuObx1Fnu6eWleF5yz+OJVAd5sCARLjyHERGR3bFbt1yu7JBRuXJlAMDJkycV12cur1Spkk3yytzm3LlzSE1NNbr8KlWqAABiY2MVy3r27BkAeSsEIiKinOzozWeKyzVQueBSWHzveZIVa0RERETWkCuDBfXr14e3tzeio6Nx6tQpnfUREREAgLCwMIN5tWrVCg4ODti/f7/OE/3k5GRs3LgRjo6OaNOmjbQ8KCgIZcuWRWJiIjZv3mx0+e3btwcA7N27V2eb27dv4+bNmwCAqlWrGqw3ERFRTnD/eaLickcH5WBBUkq64vKUtAzF5URERGQfuTJY4OLigs8++wwAMHDgQGmMAACYNm0azpw5g8aNG6N69erS8lmzZiEkJAQjR46U5VWoUCF0794dKSkp+PTTT5GW9n9NI0eMGIEnT56gV69e8Pf3l22XOW7AiBEjZEGGtWvXYsOGDShdujQ6dOgg2yY8PBx+fn5YtWoVNmzYIC1PSEiQym7Tpg2KFmW/TSIiyh3UGmyW8FOeMSglXSguT89QXk5ERET2kSvHLACA0aNHY+fOnfjnn38QHByMhg0b4tatWzhy5AgKFCiAhQsXytLHxMTg8uXLePDggU5e06dPx+HDh7FmzRqEhISgRo0aOH/+PM6dO4fg4GBMmzZNZ5vw8HBs2bIFkZGRCAkJQbNmzRATE4OoqCi4u7tj2bJlcHKSf7x58+bFsmXLEBYWho4dO6J27dooVKgQjhw5gvv376NEiRKYN2+edT8oIiIiOyiY101xee0gXxy5odx1gYiIiHKOXNmyAADc3NywZ88efPvtt8iTJw/WrVuHW7duoW/fvjh58iRKlixpdF5+fn44evQoBg0ahJSUFERGRiIuLg6DBw/G0aNH4evrq7ONg4MDVq9ejalTpyIwMBCbNm3C2bNn0aVLFxw/fhy1a9dWLKtly5Y4duwYOnXqhGvXrmHTpk1wc3PDsGHDcOzYMRQuXNjsz4SIiCgnKODpojpIVF535ecUAmxZQERElJNohBA8O+di8fHx8Pb2RlxcHEeSJiKibLfo4A1cefRStqyApwuGt3hLMf2eS4+x/cIjneXftiuLPC65tsEjERHlYrynUpZrWxYQERFRDmXG1FN8dEFERJSzMFhAREREZlO6ydcbKlBZyVgBERFRzsJgARERERERERHJMFhAREREZmOLACIiojcTRxIiIiIiq9I3ZIHaKo63TPTfkJGRgbS0NGRkZNi7KvQGcHBwgJOTExwc+AzcFhgsICIiIrOZepOvNqUiEb3Z4uLiEB8fj4SEBAYKyKocHByQJ08e5M2bF97e3vauzhuFwQIiIiKyKo3+IQ6J6D9ECIFHjx4hNjYWefLkgZ+fH9zc3ODg4MDgIVlECIGMjAwkJSXh5cuXuH//PhITExEQEMDflpUwWEBERERWZc41GjshEL2ZYmNjERsbi4IFC8LHx8fe1aE3kIeHB/Lnz4/Y2Fg8fPgQLi4u8PX1tXe13gjs3EFERETZRn3MgmytBhFlAyEEnj9/Di8vLwYKyOZ8fHzg5eWF58+fcxwcK2GwgIiIiMzG6zEiUpOWlobk5GT2I6ds4+3tjeTkZKSlpdm7Km8EBguIiIjIqvT1QlDtosCgA9EbJz09HQDg5MSez5Q9Mn9rmb89sgyDBURERGQ2YeJdPgc/JPrv4WBzlF34W7MuBguIiIjIqnitRkRElPsxWEBERER2Z2oLBSIiIrItBguIiIjIbEoDHOprBqq2igMlEhER5SwMFhAREZHZeI9PRET0ZmKwgIiIiIiIcgyNRiP7c3Z2hp+fHypWrIi+fftizZo1eqfG02g0KFGiRPZV+A3XtGlTFClSBMnJyTYrIzExEYUKFUKbNm1sVgaZjsECIiIiyjacOZGIjNWnTx/06dMH3bt3R/369ZGWloalS5eia9euKFu2LI4ePWqTchcvXgyNRoOxY8faJP/cZPPmzdizZw+++eYbuLq62qwcd3d3jBgxAlu3bsXu3bttVg6ZhpOeEhERkdlMHmuAMyUQkZEWL16ssyw6OhrffPMN/vrrLzRp0gQHDx5ElSpVZGkuXrwIZ2fn7KnkG+6bb75BgQIF8MEHH9i8rI8//hjff/89Ro4ciSNHjti8PDKMLQuIiIjIqsyZOlFwhEMiMkKpUqWwatUq9O/fHwkJCQgPD9dJExISglKlStmhdm+WgwcP4syZM3j33Xfh4uJi8/Lc3d3RpUsXHD16FP/++6/NyyPDGCwgIiIisylNeajR03xA3zoiImNNnToVHh4e+Pfff3HgwAHZOrUxC/755x907NgRxYsXh6urKwoWLIhatWrh66+/xsuXLwEAoaGh6NevHwBg3LhxsrETMls6CCGwYsUKvPfeeyhTpgw8PDzg5eWFWrVq4ffff0dGRoZO2WPHjpXyOHv2LNq3bw8fHx94eHigcePG+Oeff1Tf65EjR/Dee++hcOHCcHV1RaFChdCsWTP873//00mbkJCAiRMnomrVqvD09ISnpyfq1KmDJUuWGPvRSubPnw8A6N69u866vXv3QqPRoG/fvnj8+DH69++PggULwsPDAw0aNJC9nzlz5qBSpUpwd3dH0aJFMXbsWMXPCAB69OgBAJg3b57J9SXrYzcEIiIiMpu1GgSwXQERmcLb2xutW7dGREQE9uzZgwYNGuhNv3HjRnTs2BFCCNSqVQv16tXD8+fPcfXqVfz888/4+OOP4enpiVatWiEtLQ0HDx5E5cqVZV0cSpcuDQBITk5Gjx49kD9/fpQrVw7VqlXD06dP8c8//2DgwIE4evSoYhcKADh+/DgGDhyIUqVKoWXLlrh06RL27duHZs2a4dixY6hQoYIs/YwZMzB8+HBkZGSgevXqaNSoEWJiYnDmzBl8+eWX+PDDD6W0jx8/RvPmzXHmzBkULFgQjRs3hhAC//zzD/r27Yvjx4/j119/Nfoz3rx5M9zd3VGrVi3VNLGxsahbty7S09MRGhqKmzdv4uDBg2jevDmOHj2KefPm4X//+x+aNGmC4sWLIyoqCuPGjUNqaip++OEHnfzq1asHZ2dnbN682eh6ku0wWEBERERWZU43BCIiU1WpUgURERG4ePGiwbRTpkxBRkYGIiIi0KVLF9m6Y8eOIX/+/ACAr7/+GgULFsTBgwfRsWNHxUEOnZycEBkZibZt28rGRnjy5AnatGmDJUuWIDw8HI0aNdLZ9rfffsOMGTMwePBgadmwYcMwffp0TJo0CUuXLpWW79u3D8OGDYOnpyciIyPRrFkzaV1aWhq2b98uy7tfv344c+YMhgwZgp9//lkakPDRo0do164dZs2ahbZt26JVq1YGP69Lly7hyZMnqFevHpyc1G8ZN2zYgF69emHhwoXSZzF27FiMGzcO77zzDp4/f46zZ89K3UIuXLiAqlWrYvr06Rg5ciQ8PT1l+bm5uaFSpUo4ceIEbty4gaCgIIN1JdthNwQiIiLKNmqBBA5ZQESm8vPzA/D66bYhT548AQC8/fbbOutq1qwJLy8vo8t1cnJCx44ddQZRLFCgACZOnAgAWL9+veK29evXlwUKAGD06NEAXgcHtP30008QQmDUqFGyQEFmHbSnGTx16hS2bNmCmjVrYtq0abKZCwICAqRm/bNnzzbqPZ45cwYA8NZbb+lNlzdvXsycOVP2WQwbNgwajQYXLlzA999/Lxs/oly5cmjbti0SEhJw/PhxxTxDQkKk90T2xZYFRERElG3Y6ICIrCVzYFSNEc2ZqlevjosXL+L999/Ht99+i+rVq8PBwbLnpqdOncL27dtx69YtJCQkQAiBFy9eAACuXr2quE2LFi10luXPnx++vr548OCBtCwtLQ179+4FAAwYMMBgXTJbGXTs2FHxfWWOYWDsdJOPHz8GAPj4+OhNV6NGDZ003t7e8PX1xdOnTxXfb8mSJQFA9n61+fr6Avi/AA/ZD4MFREREZFUMCBBRdoiJiQHwfzeX+vz44484e/YsNm7ciI0bN8LHxwcNGjRA+/bt0atXL7i5uRldbkpKCvr27YsVK1aopskMGmRVpEgRxeVeXl549uyZ9P/Tp0+RmJgIX19fgzfsAHDz5k0AwKhRozBq1CjVdElJSQbzAoC4uDipXvoULlxYcbmnpyeePn2quD6z60FycrLitnnz5gUAPH/+3Ki6ku0wWEBERERmU5ry0KypEznEIRGZKHN6vXLlyhlMW7RoURw/fhy7d+/Gpk2bEBUVJQUOJk2ahEOHDknjFhgybdo0rFixAhUrVsSkSZNQrVo1+Pj4wNnZGVeuXMFbb72lOh2spa0Z1GTOLtCgQQOrTBvp7e0NQD3okcnQ+zHn/WYGKvLly2fytmRdDBYQERFRtlFtLsxYARGZIC4uDn///TcAoEmTJkZt4+TkhBYtWkhN42/duoXw8HDs3r0bP//8MyZNmmRUPpGRkQCAFStWoHz58rJ1169fN/Yt6OXn5wd3d3c8e/YMz58/N3jjnNlioWPHjvj8888tLt/f3x8AZK0dskvmGBQFChTI9rJJjgMcEhERkdk4MCER2cPnn3+OV69eoWbNmqhbt65ZeRQvXhxfffUVAODcuXPSchcXFwCvxw1Qknkzq9Sl4K+//jKrLlk5OjoiNDQUAKTBCfVp3rw5gP8LZFiqcuXKAIDLly9bJT9TZM5uoT1tJdkHgwVERERkVRo9oxZwWkUissT169fx7rvvYsGCBfDw8MCCBQuM2u6XX37Bw4cPdZZv2bIFwOtuCpkCAwMBqN8olylTBgAwZ84c2fKIiAjZ1IeW+uqrr6DRaPDDDz9gz549snVpaWlS3QGgdu3aaN68OQ4ePIiBAwciPj5eJ7/Tp09j27ZtRpX91ltvwd/fH6dOnVINmthCUlISzp49i6JFi3LaxByA3RCIiIjIbNZqWMAGCkSUVd++fQG87o8fHx+PK1eu4NKlSxBCIDg4GMuXL0fFihWNymvcuHH44osvULlyZQQHB0MIgdOnT+PKlSvw9fXFF198IaWtU6cO/P39ERERgdDQUJQsWRIODg4IDw9HvXr1MGLECGzbtg1ff/01Vq9ejTJlyuDq1as4fvw4vvjiC0yZMsUq779x48aYNGkSRowYgaZNm6JGjRoIDg5GTEwMTp8+jeTkZNkggMuWLUOrVq3w+++/Y/ny5ahSpQoCAwMRFxeHM2fO4M6dOxgyZAhatWplVPlt2rTB4sWLceTIEdSvX98q78mQgwcPIjU1FW3bts2W8kg/tiwgIiIiq9LXeoANC4jIWEuWLMGSJUuwYsUK7N+/H46OjujduzfWrl2LixcvokaNGkbn9euvv+K9995DQkICtm7dim3btsHJyQnDhw/HmTNnEBwcLKV1c3PD5s2b0bx5c5w6dQqLFy/GggULcOXKFQBAo0aNcODAATRt2hTXr1/Hpk2b4OLigjVr1mDgwIFW/Qy++OILREVFoVOnTrh9+zYiIiJw7tw5VKxYEVOnTpWl9ff3xz///IOZM2eiXLly+PfffxEREYEzZ86gZMmSmDx5siwoYsiHH34IAFi+fLlV35M+mWVllk32pRFqQ3VSrhAfHw9vb2/ExcVJ04wQERFll5m7ruJBnHwqrlIFPPBBw5KK6Y/ffIY1J+/pLB/SLBgFvY2fuoyIcr6kpCTcuHEDQUFBJk1NSDlH1apVcffuXdy9exeurq42LSsxMRGBgYEoU6YMjhw5YlYe5v7meE+ljC0LiIiIyGymPnJQnwyBzy6IiHKaH374ATExMfjf//5n87LmzJmD58+fY+LEiTYvi4zDYAERERGZjTf5RERvrjZt2qBJkyb46aefkJycbLNyEhMTMWnSJLRu3RpNmza1WTlkGg5wSERERFal4ZQHRERvjN27d9u8DHd3dzx48MDm5ZBp2LKAiIiIzGb6yEfKgQSOoERERJSzMFhAREREVqWvXQEbHRAREeUODBYQERERERERkQyDBURERGQ2pd4D5rQeYC8EIiKinIXBAiIiIjKfiYMNqMURBActICIiylEYLCAiIiKr4rAEREREuR+DBURERJRt1KZVZMMCIiKinIXBAiIiIjKbqff4bHVARESUOzBYQERERFal1nqAiIiIcg8GC4iIiMhsSt0HGCsgIiLK/RgsICIiomyjFkjgmAVEREQ5C4MFREREZDZh8qgFRERElBswWEBERERWxV4IREREuR+DBURERGQ2U7sPaFRCCWyhQERElLMwWEBERETWpWeEQw5+SERElDswWEBERERWZU48gAMcEhFlj1u3buHzzz9HSEgIPDw84Ovri5o1a2Ly5MlISEiwKO/FixdDo9EY9bd48WLrvCGyGSd7V4CIiIhyL97jExHlHhs3bkSvXr0QHx8vLUtISMDx48dx/PhxzJ8/H5s3b0bp0qXtWEvKKRgsICIiIrNZq0UAgw5ERLb177//4t1330ViYiI8PT0xcuRINGnSBImJiVi5ciX+97//4cqVK2jbti2OHz8OLy8vi8r7+++/ERgYqLq+SJEiFuVPtsdgAREREVkVxyUgIsp5hgwZgsTERDg5OWH79u2oW7eutK5p06YIDg7GiBEjcOXKFUydOhVjx461qLwyZcqgRIkSllWa7IpjFhAREZHZTJ3FQC2QIDhoARGRzRw9ehT79+8HAPTv318WKMj0+eefo2zZsgCAGTNmIDU1NVvrSDkPgwVERERktvjENJ1latMj6luXlJphtToREZHcunXrpNf9+vVTTOPg4IDevXsDAJ4/f449e/ZkR9UoB2OwgIiIiMySkKIbKDDXv3dirZYXERHJHThwAADg4eGB6tWrq6Zr3Lix9PrgwYM2rxflbAwWEBERkVnuxSYqLtcXRHB3cVRczl4IRES2c/HiRQBA6dKl4eSkPmxdSEiIzjbm6tevHwIDA+Hi4gI/Pz/UqVMHo0ePxr179yzKl7IPBzgkIiIis6Sr3OEX8HJV3aaoj7vicicHjopIRP9n7cm7eBSfbO9qZKuAvK7oXM36MwQkJSUhJiYGgOEZCHx8fODh4YFXr17hzp07FpW7d+9e6fXTp0/x9OlTHDlyBFOnTsX06dPx0UcfWZQ/2R6DBURERGQWtdYA5QO9VbdxclRu1MiGBUSk7VF8Mm4/S7B3Nd4IL168kF57enoaTJ8ZLHj58qVZ5ZUsWRKdO3dG3bp1UbRoUQDA9evXsWbNGkRERCApKQkff/wxNBoNBgwYYFYZlD0YLCAiIiKzqAULDDUSyOvupDMwIrshEBHZRlJSkvTaxcXFYHpX19etwxITlbua6dOpUyf06dMHmixT39SsWRPvvvsuNm3ahM6dOyM1NRXDhg1D+/btUbBgQZPLoezBMQuIiIjILGrTJma9SNRZrzAjgqlTMBIRkXHc3Nyk1ykpKQbTJye/7v7h7q7cbUwfb29vveeAdu3aYcyYMQCAhIQELFiwwOQyKPswWEBERERmUWsNYM7oA2xZQERkG15eXtJrY7oWvHr1CoBxXRbMMWDAACmgEBUVZZMyyDrYDYGIiIisykDDAsVuCowVEJG2gLzqA6W+qWz1nt3c3JA/f348ffoUd+/e1Zs2NjZWChZkjjdgbf7+/sifPz9iYmI4M0IOx2ABERERmUW9ZYGBbghKq9m0gIi02GJWgP+ycuXKYf/+/bh27RrS0tJUp0+8dOmS9Lps2bI2q4+h7mqUM7AbAhEREZlFfcwC/dspj1lARES20qBBAwCvuxicOHFCNZ12t4D69evbpC5PnjyRpnIMDAy0SRlkHQwWEBERkVnMbQygFExgwwIiItvp2LGj9HrRokWKaTIyMrB06VIAQL58+dCkSROb1GXevHkQ//+g37hxY5uUQdbBYAERERGZJUPlDt9wywJdgtECIiKbqVWrFho2bAgAWLBgAQ4dOqSTZurUqbh48SIAYMiQIXB2dpat37t3LzQaDTQaDfr27auz/c2bN/Hvv//qrcemTZvw/fffA3g920K/fv3MeTuUTThmAREREZlF7fbeYF9UhfUMFRAR2daMGTNQv359JCYmokWLFvjmm2/QpEkTJCYmYuXKlZg3bx4AoEyZMvj8889Nzv/mzZto0qQJ6tati7CwMFSuXBn+/v4AgOvXryMiIgIRERFScHjKlCkoXLiw9d4gWR2DBURERGRVhoatUlqfwWgBEZFNVa1aFatWrUKvXr0QHx+Pb775RidNmTJlsHnzZtl0i6Y6dOiQYsuFTHny5MEvv/yCAQMGmF0GZQ8GC4iIiMgsal0HzGhYQERE2SAsLAxnzpzBjBkzsHnzZty9excuLi4oXbo0unXrhs8++wx58uQxK+/q1atj2bJlOHToEI4fP44HDx4gJiYGaWlp8PHxQfny5dGsWTN88MEHUosDytkYLCAiIiKzqA0z4GAgGqA4GwLHLCAiyhbFixfHtGnTMG3aNJO2Cw0N1Xus9vLyQs+ePdGzZ09Lq0g5RK4e4DAxMRFjxoxBmTJl4ObmhsDAQISHh+PevXsm5xUbG4shQ4agePHicHV1RfHixTF06FA8f/5cdZv09HT88ssvqFixItzd3VGgQAG888470sAgWS1evFgaFETp77333jO53kRERPZi7u09Z0MgIiLK+XJty4KkpCQ0bdoUhw8fRqFChdChQwfcvHkTixYtwqZNm3D48GGULFnSqLxiYmJQt25dXLt2DSVLlkTHjh1x/vx5zJgxA1u3bsWhQ4fg6+sr2yYjIwPdunVDZGQk8uXLh7Zt2yImJgYRERHYvHkz9uzZg1q1aimWV7lyZVSpUkVnee3atU3+HIiIiOxF7QbfnDELiIiIKGfJtcGCCRMm4PDhw6hbty62b98OT09PAMC0adPw+eefIzw8HHv37jUqr6FDh+LatWvo3LkzVq1aBSen1x/L4MGD8euvv2L48OFYvHixbJuFCxciMjISwcHB2L9/PwICAgAAa9asQdeuXdGzZ09cvHhRyktbx44dMXbsWLPfOxERUU6gPmaBgW4ISi0LOB8CERFRjpIruyGkpKRg1qxZAIDffvtNChQAwPDhw1GpUiVERUXhxIkTBvN68OABVqxYARcXF/z++++ym/vJkyejQIECWLZsGR4/fizbLrOPz6RJk6RAAQB06dIF7du3x7Vr17B+/XqL3icREVFOpj51ov7tlIIJnA2BiIgoZ8mVwYKDBw8iLi4OpUqVQtWqVXXWd+3aFQCwceNGg3lt27YNGRkZaNiwoeymHwBcXV0RFhaG9PR0bNmyRVp+48YNXLx4Ee7u7mjbtq1F5RMREeVW5nZDMCUvIiIiso9c2Q3h9OnTAIBq1aoprs9cfubMGavktXDhQllemdtUqFABzs7OJpd/4sQJfPnll4iPj0fBggXRtGlTNG7c2GBdiYiIchK1rgOGuiEYmi2BiIiI7C9XBgtu374NAChSpIji+szlt27dsklelpa/adMmbNq0Sfr/+++/R+PGjbFq1Sqd1g1EREQ5lhVbFmSwaQEREVGOkiu7Ibx8+RIAkCdPHsX1Hh4eAIAXL17YJC9zyy9UqBDGjh2Lf//9F3FxcXj48CE2bNiAkJAQREVFoV27dkhPT9db3+TkZMTHx8v+iIiI7MH8MQusXhUiIiKyslwZLMitWrZsie+++w5VqlRB3rx5ERAQgLCwMBw7dgxlypTB8ePH8ddff+nNY+LEifD29pb+ihYtmk21JyIiklMfs8BQNwQbVIaIiIisKlcGCzJnP0hISFBc/+rVKwCAl5eXTfKyZvmZ+Q0ePBgA8Pfff+tNO3LkSMTFxUl/d+7cMaoMIiIia1PtOmCoZYFCggxOh0BERJSj5MoxC4oVKwYAuHv3ruL6zOXFixe3SV7WLD9TcHAwgNdTOerj6uoKV1dXo/MlIiKyFXO7IZiSFxEREdlHrmxZULlyZQDAyZMnFddnLq9UqZJN8src5ty5c0hNTbWo/EyxsbEA/m+8AyIiotzKUKxAKZiQzpYFREREOUquDBbUr18f3t7eiI6OxqlTp3TWR0REAADCwsIM5tWqVSs4ODhg//79ePz4sWxdcnIyNm7cCEdHR7Rp00ZaHhQUhLJlyyIxMRGbN2+2qPxMa9asAaA+hSMREVFOo9YNwdDUiUrrH79ItkqdiIiIyDpyZbDAxcUFn332GQBg4MCB0hgBADBt2jScOXMGjRs3RvXq1aXls2bNQkhICEaOHCnLq1ChQujevTtSUlLw6aefIi0tTVo3YsQIPHnyBL169YK/v79su+HDh0tptIMMa9euxYYNG1C6dGl06NBBts3EiRMRExMjW5aamopx48Zh9erVcHd3R79+/cz5SIiIiLKfSmMAcwcwFJw+kYiIKMfIlWMWAMDo0aOxc+dO/PPPPwgODkbDhg1x69YtHDlyBAUKFMDChQtl6WNiYnD58mXFMQGmT5+Ow4cPY82aNQgJCUGNGjVw/vx5nDt3DsHBwZg2bZrONuHh4diyZQsiIyMREhKCZs2aISYmBlFRUXB3d8eyZcvg5CT/eL/55huMGzcONWrUQNGiRREfH49Tp07h/v37cHNzw7Jly1C4cGHrflBEREQ2IlSiBYZmQ4h+8lJxeVqGgLMjp0ogIiLKCXJlywIAcHNzw549e/Dtt98iT548WLduHW7duoW+ffvi5MmTKFmypNF5+fn54ejRoxg0aBBSUlIQGRmJuLg4DB48GEePHoWvr6/ONg4ODli9ejWmTp2KwMBAbNq0CWfPnkWXLl1w/Phx1K5dW2ebMWPGoFGjRrhz5w7Wr1+P3bt3I0+ePPjoo49w6tQpdO7c2aLPhIiIKDuZ2xCgXKG8istVZ1cgIiKibKcRbPOXq8XHx8Pb2xtxcXHIm1f54ouIiMgWdl54hF2XHuss/y6sHNycHVW323HhEXYrbDe2fTm4OqlvR0S5S1JSEm7cuIGgoCC4ubnZuzr0H2Dub473VMpybcsCIiIisi9zp05UW83HF0RERDkHgwVERERkFrXGiYbGLFALJjBYQERElHMwWEBERERmMbdlgYNKArUBE4mIiCj7MVhAREREZlFvWWBufubXhYiI1D1+/BibNm3CmDFj0Lp1a/j5+UGj0UCj0aBv3742KXPFihVo0aIFChYsCDc3NxQvXhy9evXCoUOHbFIeWV+unTqRiIiIciaNmYMWMFZARGQbAQEB2VZWYmIiunbtii1btsiW3759G3/++SdWrFiBMWPG4Lvvvsu2OpF52LKAiIiIzKLWEsBQywLVbghsWkBEZHPFihVDixYtbJZ/eHi4FCho0qQJ1q1bh6NHj2LBggUoVaoUMjIyMHbsWMybN89mdSDrYMsCIiIiMkuGWrDA3NkQLKoNERGpGTNmDGrWrImaNWsiICAAN2/eRFBQkNXL2b17N1auXAkACAsLQ2RkJBwdX0+JW7NmTbRv3x7Vq1fH7du38dVXX6Fbt27w8fGxej3IOtiygIiIiMyiNiChoW4InA2BiCh7jRs3Du3atbN5d4QpU6YAAJycnPD7779LgYJMfn5++PnnnwEAz58/x/z5821aH7IMgwVERERkNYZaFQB6plZksICIKNd68eIFdu3aBQB4++23UaRIEcV0nTt3Rt68eQEAkZGR2VY/Mh2DBURERGQWpW4IxsyEoBZQyGDTAiKiXOvYsWNISUkBADRu3Fg1nYuLC+rUqSNtk5qami31I9MxWEBERERmURqQ0LiWBURE9Ka5cOGC9DokJERv2sz1aWlpuHr1qk3rRebjAIdERERkNapdDOSJFLFdARFJTq8EXjywdy2yl1choPJ79q6F2e7evSu9VuuCkKlo0aLS6zt37qBcuXI2qxeZj8ECIiIiMotSrwFLxixgNwQikrx4AMTetHctyAQvXryQXnt6eupN6+HhIb1++fKlzepElmE3BCIiIjKL0mwIxnQxcOBsCEREb5ykpCTptYuLi960rq6u0uvExESb1Yksw2ABERERmUW5ZYHhcIFaGrWpGImIKOdzc3OTXmcOdKgmOTlZeu3u7m6zOpFlGCwgIiIis1i9JQBjBUREuZaXl5f02lDXglevXkmvDXVZIPvhmAVERERkFqV7e2PGLFDthmBRbYjojeJVyN41yH65/D1rD2p49+5d1KhRQzXtnTt3pNfagx1SzsJgAREREZlFaUBCY2ZDUAsocMwCIpLk4lkB/qu0ZzS4dOmS3rSZ652cnBAcHGzTepH52A2BiIiIrMaYlgVqwyByzAIiotyrZs2a0sCGUVFRqulSUlJw+PBhaRtnZ+dsqR+ZjsECIiIiMo/Cvb1aFwNtbFlARPTm8fLyQrNmzQAAO3fuxN27dxXTrV27FvHx8QCATp06ZVv9yHQMFhAREZFZFLshGDMbggn5ERFRzrB48WJoNBpoNBqMHTtWMc0XX3wBAEhLS8PAgQORnp4uWx8TE4OvvvoKAJAvXz588MEHNq0zWYZjFhAREZFZHr9INpxIgerUiYwVEBHZxIEDB3Dt2jXp/5iYGOn1tWvXsHjxYln6vn37mlVO06ZN8d5772HlypXYsGEDmjdvjqFDhyIwMBBnz57FDz/8gNu3bwMAfv75Z/j4+JhVDmUPBguIiIjIZEIIPIhL0lluzJgFakleJKVZVikiIlI0f/58LFmyRHHdwYMHcfDgQdkyc4MFALBw4ULEx8djy5Yt2LNnD/bs2SNb7+DggG+//RYDBgwwuwzKHuyGQERERCZTChQAQEaG4eYBat0NHsUr50lERLmHu7s7Nm/ejD///BPNmzeHv78/XFxcULRoUfTo0QMHDhxQ7cZAOQtbFhAREZHJElLSFZcnpWYY3NbLTXnka1dnPsMgIrKFxYsX63Q1MFXfvn1NanHQo0cP9OjRw6Iyyb54ViYiIiIzKLcOaFrW3+CW+T1cTMmSiIiI7IDBAiIiIjKZ2mCEhfO5G9xWdepEC+pDRERE1sVgAREREZlM7cbeiPENoVFJxdkQiIiIcg4GC4iIiMhkajf2xsyGoBZRUBv4kIiIiLIfgwVERERkMvUbe8PRAgd2QyAiIsrxGCwgIiIik6nFCtQCAdo0Ks0PBFsWEBER5RgMFhAREZHJhEo7ALVAgCyNap5ERESUUzBYQERERCZTHbPAiG1V4wmMFhAREeUYFgULIiIikJqaaq26EBERUS5nzACHarMhcIBDIiKinMOiYME777yDwMBADBs2DGfOnLFWnYiIiCiHU7uxVwsEyNKoDXDIWAEREVGOYXE3hKdPn2LmzJmoWrUqatSogdmzZyMuLs4adSMiIqIcyqKpE9XyNH9TIiIisjKLggUbNmxAp06d4OTkBCEETp48ic8++wyFChVCz549sXPnTmvVk4iIiHIQ1YkTjZoNQSVPNi0gIiLKMSwKFrRr1w5r1qzBvXv3MHXqVFSsWBFCCCQlJWHlypVo2bIlgoKCMG7cONy6dctadSYiIiI7U7uxN2Y2BAe1qRMtqhERERFZk1VmQ/Dz88OwYcNw+vRpHD9+HJ9++iny5csHIQRu3bqF77//HqVKlcLbb7+NFStWIDk52RrFEhERkZ1kWDIbgspytiwgIiLKOaw+dWK1atUwa9YsPHjwQGpdoNFokJGRgd27d6NXr14oVKgQBg4ciOPHj1u7eCIiIsoWai0LDG+p1vqAsQIiIqKcw+rBgkwuLi545513sHXrVty6dQsTJkxAQEAAhBB4/vw55syZg9q1a6Ny5cqYM2cOWxsQERHlImo39mpdDLSptiwwvzpERERkZTYLFmRKSEjAzp07sX37djx+/Fh6miCEgBACZ8+excCBA1GyZElERkbaujpERERkBRZ1Q+DUiURERDmezYIFBw4cQP/+/VGwYEGEh4dj//79EEIgb968+OSTT/DPP/9g3rx5qFOnDoQQePDgAbp27Ypt27bZqkpERERkJarjC1jSDYFtC4iIiHIMJ2tmdu/ePSxZsgSLFy9GdHQ0gP+7mGjYsCE++OADdOvWDW5ubgCAOnXq4IMPPsC+ffvQp08f3Lp1Cz/88ANatWplzWoRERGRland1hvTDQF43boga7xBrbUCERERZT+LgwUpKSmIjIzEokWLsGvXLmRkZEgBgoCAAPTu3RsffPABgoODVfNo1KgRpk2bhi5duuDs2bOWVomIiIhszIKGBVK6rFlwNgQiIqKcw6JuCJ9++ikKFSqEHj16YMeOHUhPT4dGo0Hr1q2xZs0a3LlzBz///LPeQEGmChUqAABevHhhSZWIiIgoG6h1GVDrYpCVsS0QiIjIco8fP8amTZswZswYtG7dGn5+ftBoNNBoNOjbt6/Vyhk7dqyUr6G/vXv3Wq1csg2LWhbMmTNHel28eHGEh4cjPDwchQsXNjkvV1dXFCtWDA4ONh9zkYiIiCxkccsChYRsWEBEZBsBAQH2rgLlQhYFC5ydndGxY0d88MEHePvtt41+mqCkWLFiuHnzpiXVISIiomxiydSJgHJQ4czdOHSsavoDByIiMl6xYsUQEhKC7du327QcQ93Lg4KCbFo+Wc6iYMH9+/eRP39+a9WFiIiIcgnVmQuMfG7w+gGDPI/E1HTLKkVERIrGjBmDmjVrombNmggICMDNmzdtfrOe2c2cci+LggXnz58HANSsWRPu7u5GbZOUlISjR48CeD2wIREREeU+qt0QjAwWJKdl6CwL9HazoEZERKRm3Lhx9q4C5UIWBQtCQ0Ph4OCAM2fOoFy5ckZtc+/ePWm7tLQ0S4onIiIiO1EbXsCSYQs5ZAEREVHOYfFoguZOc8TpkYiIiHKvDJXzuLHjF5X29zQ6TyIiIsp+2T71QEbG62aHjo6O2V00ERERWYvqAIfGba6UjLECIqI3R4sWLeDv7w8XFxf4+/sjNDQUP/30E2JjY+1dNTKSRd0QzHHr1i0AgLe3d3YXTURERFaiNsChxsiOCIpTJ1pSISJ6o2yM3ojHCY/tXY1s5Z/HH2GlwuxdDavZsWOH9PrJkyeIiopCVFQUfv75ZyxevBgdOnSwY+3IGCYFC27fvq24/MGDB/D01G1OqC05ORnR0dH49ttvodFoUL58eVOKJiIiohzE0gEOFZOxaQER/X+PEx7j7su79q4GmaFixYro2LEjatWqhcDAQKSmpuLy5cv4888/sX37djx//hxdunTBxo0b0bp1a3tXl/QwKVigNL2GEAItWrQwueDevXubvA0RERHlDJbe1zso9FfIYKyAiChXGzp0KMaOHauzvHbt2ujduzfmzp2Ljz/+GOnp6fjggw8QHR0NNzfOhJNTmTRmgRBC9qe2XN+fq6srvvzyS4SHh1v9zRAREVH2UB/g0LjtFccsYEcEIqJcLV++fHrXf/TRR+jfvz8A4P79+1izZk021IrMZVLLgkWLFsn+79evHzQaDcaPH4/ChQurbqfRaODm5oZChQqhatWqBrssEBERUc6mdlvvYGS0QGnWBPZCICJ683300UdYsGABACAqKgo9e/a0c41IjUnBgj59+sj+79evHwCgY8eOKFeunPVqRURERDma6pgFRm6vFFNgNwQiyuSfx9/eVch2/5X3rH3feO/ePTvWhAyxaDaEPXv2AFAey4CIiIjeZGrdEIxsWaAQVmA3BCLK9CbNCkByxp4nyP4sChY0btzYWvUgIiKiXMQWLQsYKyAievNduHBBeh0YGGjHmpAhJg1wSERERASodxmwbIBDIiJ6082dO1d6zYfPOZtRLQuWLl0qvdae8lB7uTk4fSIREVHupNZlwNjmpUoDIQqOcEhElGMtXrxYGrPuu+++05ki8ezZs3B3d0fp0qVV85g3bx7mz58PAChYsCA6depks/qS5YwKFvTt2xcajQYajUZ2g5+53BxZ8yIiIqLcQ+m+3qRLAg5wSESUbQ4cOIBr165J/8fExEivr127hsWLF8vS9+3b1+QyTpw4gQ8++ABNmjRB69atUbFiReTPnx9paWm4dOkS/vzzT2zfvh0A4OjoiHnz5sHDw8Os90PZw+gxC9Si/XwKQERE9N+jdPa3MFbAqROJiGxk/vz5WLJkieK6gwcP4uDBg7Jl5gQLACA9PR07d+7Ezp07VdPkz58fCxYsQFgYB7HM6YwKFty4ccOk5URERPRmU3pYoNS1QI1Sy8QMRguIiHKtNm3aYMGCBTh06BD+/fdfPHr0CE+fPoUQAr6+vqhcuTJatWqFvn37Im/evPauLhlBI9g0IFeLj4+Ht7c34uLiuNMREVG2WffvPRy58Uy2zNlRg+87VDBq+7Un7+LYzVjZMlcnB4xtX95qdSQi+0pKSsKNGzcQFBQENzc3e1eH/gPM/c3xnkoZZ0MgIiIikykNcGhSNwSFxHx+QURElHMwWEBEREQmUx7g0IRuCAqhBYYKiIiIcg4GC4iIiMhkljYCUG5ZYFmeREREZD1GDXAYHh5u9YI1Gg0WLFhg9XyJiIjI9lLSM3SWWTrAYRrnTiQiIsoxjAoWLF682KSmhYYIIRgsICIiysXO3I3TWWbKpYJa0sxrBCIiIrIvo4IFxYoV44mbiIiIJK5ODkhOk7cuSEnTbW2gRi1tzMsUFPBytahuREREZDmjggU3b960cTXMk5iYiIkTJ2LlypW4ffs2fH190apVK4wfPx6FCxc2Ka/Y2FiMHTsW69atw8OHD1GwYEF06tQJY8eORb58+RS3SU9Px8yZM7Fw4UJcu3YNnp6eaNKkCcaNG4eyZcsaVW7//v2xcOFCAMD+/fvRoEEDk+pNRERkD3ndnPDkZYpsmSndCJLS0hWXJ6ssJyIiouyVawc4TEpKQtOmTTF+/Hi8fPkSHTp0QNGiRbFo0SJUrVoV169fNzqvmJgY1KpVCzNnzoSTkxM6duwILy8vzJgxA7Vr18azZ890tsnIyEC3bt0wfPhw3L17F23btkX58uURERGBGjVq4OjRowbL3bNnDxYuXMhWG0RElOsohQUKeLoYvX3ZQsrzWHOQQyIiopwh1wYLJkyYgMOHD6Nu3bq4cuUKVq1ahSNHjmDq1Kl48uSJSYMyDh06FNeuXUPnzp1x+fJlrFq1CufOncOgQYNw5coVDB8+XGebhQsXIjIyEsHBwbh06RIiIiKwd+9erF69GgkJCejZsyfS0tJUy0xKSsJHH32E8uXLo27dumZ9BkRERPaidFPvZ0L3AScHBsqJiIhyslwZLEhJScGsWbMAAL/99hs8PT2ldcOHD0elSpUQFRWFEydOGMzrwYMHWLFiBVxcXPD777/Dyen/emZMnjwZBQoUwLJly/D48WPZdtOmTQMATJo0CQEBAdLyLl26oH379rh27RrWr1+vWu748eNx7do1zJkzB87Ozsa9cSIiohwiQyFaYMrtv0YlNVsWEBER5Qy5Mlhw8OBBxMXFoVSpUqhatarO+q5duwIANm7caDCvbdu2ISMjAw0bNpTd9AOAq6srwsLCkJ6eji1btkjLb9y4gYsXL8Ld3R1t27Y1ufyzZ89i8uTJCA8P5xgFRESUKynd05vSrU4tqVIQgoiIiLKfUQMclixZEsDri4Do6Gid5ebImpcpTp8+DQCoVq2a4vrM5WfOnLFKXgsXLpTllblNhQoVFFsF6Cs/IyMDAwYMQL58+TBp0iSD9SMiIsqJlO7pTZo6USUtQwVEREQ5g0mzIWR9YmDJLAmWDOp3+/ZtAECRIkUU12cuv3Xrlk3ysqT83377DYcPH8aSJUvg6+trsH5ZJScnIzk5Wfo/Pj7e5DyIiIgsJRSiBQ6mtCxQ7YbAcAEREVFOYFSwoE+fPiYtt7WXL18CAPLkyaO43sPDAwDw4sULm+Rlbvl3797FqFGjEBoait69exusm5KJEydi3LhxZm1LRERkLYrdEEzYXr0bgjm1ISIiImszKliwaNEik5aTsoEDByI5ORmzZ882O4+RI0fKZmeIj49H0aJFrVE9IiIio1naskA9LaMFREREOYFRwYKcJnP2g4SEBMX1r169AgB4eXnZJC9ztlmzZg02bNiAb7/9FiEhIQbrpcbV1RWursZPTUVERGQLii0ArDBmAVsWEBER5Qy5MlhQrFgxAK+b9SvJXF68eHGb5GXONpkzI+zYsQP79u2TpT916hQAYNCgQfD29kbfvn3Rt29fg3UnIiKyF8UBDk3Y3kFtgEMGC4iIiHIEqwcLhBC4fv06nj17BgDw9fVFyZIlLRrQMKvKlSsDAE6ePKm4PnN5pUqVbJJX5jbnzp1DamqqzowI+so/fPiwal0ygwahoaEG601ERGRPSlMcmtINQS20INgNgYiIKEdwsFZG27ZtQ/v27eHt7Y0yZcqgTp06qFOnDsqUKYO8efMiLCwMW7dutUpZ9evXh7e3N6Kjo6UbbG0REREAgLCwMIN5tWrVCg4ODti/fz8eP34sW5ecnIyNGzfC0dERbdq0kZYHBQWhbNmySExMxObNm40qf/HixRBCKP41btwYALB//34IITB27FiD9SYiIspprDF1YkaGdepCRERElrE4WJCQkIAuXbqgbdu22Lx5M16+fKlzM/zq1Sts2bIF7dq1Q6dOnaQ+/eZycXHBZ599BuD1oIHa+U2bNg1nzpxB48aNUb16dWn5rFmzEBISgpEjR8ryKlSoELp3746UlBR8+umnSEtLk9aNGDECT548Qa9eveDv7y/bLnOQwREjRsiCDGvXrsWGDRtQunRpdOjQwaL3SURElFMptSwwJVig1gqBLQuIiIhyBou6IWRkZKBNmzbSE3FnZ2e0aNECtWrVQkBAAADg0aNHOHbsGLZv346UlBRs2LABbdq0wd69ey3qmjB69Gjs3LkT//zzD4KDg9GwYUPcunULR44cQYECBbBw4UJZ+piYGFy+fBkPHjzQyWv69Ok4fPgw1qxZg5CQENSoUQPnz5/HuXPnEBwcjGnTpulsEx4eji1btiAyMhIhISFo1qwZYmJiEBUVBXd3dyxbtgxOTrlySAgiIiKDlMYWMKUbgupcCIwVEBFZ3fHjx7FlyxYcOHAAFy5cwJMnT+Ds7IzAwEDUr18f/fv3R4MGDaxa5ooVK7Bo0SKcOXMGz58/R0BAABo2bIiBAweibt26Vi2LbMOiu9m5c+di37590Gg0aNmyJebPn4/ChQsrpr137x4+/PBDbNu2DQcOHMCcOXPwySefmF22m5sb9uzZg4kTJ2L58uVYt24dfH190bdvX4wfPx5FihQxOi8/Pz8cPXoUY8eOxbp16xAZGYmAgAAMHjwY48aNQ758+XS2cXBwwOrVqzFjxgwsXLgQmzZtgoeHB7p06YJx48ahXLlyZr83IiKinM7SFgBWHMqIiIj0aNSoEfbv36+zPCUlBVevXsXVq1exePFi9O7dG//73//g4uJiUXmJiYno2rUrtmzZIlt++/Zt/Pnnn1ixYgXGjBmD7777zqJyyPY0QmmiZCPVqVMHR48eRa1atfDPP//AwUF/r4b09HTUr19f2kbfYH9knPj4eHh7eyMuLg558+a1d3WIiOg/4pvIszqtAOqWyo/2lQON2v720wTMjorWWd69VlFUKpLPCjUkIntLSkrCjRs3EBQUBDc3N3tX5z+rdOnSiI6ORmBgILp164aGDRuiWLFiSE9Px6FDhzB16lTcu3cPANC9e3csX77covK6d++OlStXAgCaNGmCIUOGIDAwEGfPnsWPP/6I6OjXx/65c+diwIABlr25LMz9zfGeSplFYxZcvHgRGo0Gw4YNMxgoAABHR0epr//FixctKZqIiIjsSLkbgvHbq7UsYDcEIiLrCgkJwapVq3D79m1Mnz4dXbp0Qc2aNVGnTh0MGzYMp06dQpkyZQC87jqQdZp3U+zevVsKFISFhWHHjh3o0KEDatasifDwcBw+fFiahv6rr75CbGys5W+QbMaiYEHmmAOZPy5jBAcHy7YlIiKi3EWtUaJGdSQChbRqsyEwWkBEZFWbNm3CO++8A0dHR8X1fn5+mDp1qvR/5sxu5pgyZQoAwMnJCb///rtOmX5+fvj5558BAM+fP8f8+fPNLotsz6JgQalSpQBAZ8pBfTLTZm5LREREuYva/bwpLQvUZ0MgIqLs1qRJE+l1ZjcBU7148QK7du0CALz99tuqY8h17txZauofGRlpVlmUPSwKFnTv3h1CCCxdutTobZYuXQqNRoN3333XkqKJiIjITtSe/pvSaFAt7YPnSWbUiIiILJGcnCy9VmuBYMixY8eQkpICAGjcuLFqOhcXF9SpU0faJjU11azyyPYsChYMHjwY1apVw8qVKzFp0iSD6SdPnowVK1agatWqGDp0qCVFExERkZ2oPf03pYuhWsuCh/EMFhARZbeoqCjpddmyZc3K48KFC9LrkJAQvWkz16elpeHq1atmlUe2Z9TUibdv31ZdN3/+fHz00UcYOXIkVqxYgT59+qBmzZrw9/eHRqPBo0ePcOzYMfzxxx84deoUatasiXnz5uHhw4fS4BZERESUe6h1QzBlNCJfD+Wpufw8LZuyi4jeDHHr1yPVhK7ObwJnf394d+iQ7eVmZGTgp59+kv5/5513zMrn7t270mtD09gXLVpUen3nzh1OO59DGRUsCAoKMiqzM2fO4PPPP9eb5vjx46hWrRo0Gg3S0tKMypeIiIhyDvVuCMaHC5wdlRs3coBDIgKA1MePkXrnruGEZLFffvkFR48eBfB6PIHq1aublc+LFy+k156ennrTenh4SK9fvnxpVnlke0YFC9RGPSYiIiLKZOo8Ry6OGqSky68xeMlBRJR9oqKi8PXXXwMA/P39MXv2bLPzSkr6v25kLi76W4m5urpKrxMTE80uk2zLqGDBokWLbF0PIiIiyiVUZ0MwcSSk1y0RGCwgIrKH8+fPo1OnTkhLS4ObmxtWr14Nf39/s/Nzc3OTXmcOdKhGe0BFd3d3s8sk2zIqWNCnTx9b14OIiIhyCaEyxKHGxLYFSr0W2A2BiMj2bty4gRYtWiA2NhaOjo5YuXIlGjVqZFGeXl5e0mtDXQtevXolvTbUZYHsx6hgAREREVGmDNXpEEzLR2lGBIYKiAh4Pdjff012vef79+/j7bffxv3796HRaLBw4UJ0sMLAitqDGt69exc1atRQTXvnzh3ptfZgh5SzMFhAREREJlEby0htOkQ1iqkZLSAiwC6zAvwXxMTEoHnz5rh+/ToA4Ndff0Xv3r2tkrf2jAaXLl3SmzZzvZOTE4KDg61SPlmfib0LiYiI6L9OrWWBqQMcOjjobsFuCEREthEXF4eWLVviwoULAICffvoJAwcOtFr+NWvWlAY2jIqKUk2XkpKCw4cPS9s4OztbrQ5kXVZrWfDixQvs3LkTp0+fRkxMDBITE/XOoqDRaLBgwQJrFU9ERETZRW2AQyu0LGCogIjI+hISEtC2bVucPHkSADBq1Ch89dVXVi3Dy8sLzZo1w9atW7Fz507cvXtX1jUh09q1axEfHw8A6NSpk1XrQNZlcbAgIyMD48ePx9SpU2UDVegjhGCwgIiIKJdSe/pvYqxAMVrAlgVERNaVkpKCTp064eDBgwCAIUOGYMKECSbns3jxYvTr1w8A8N1332Hs2LE6ab744gts3boVaWlpGDhwINauXQtHR0dpfUxMjBSkyJcvHz744AMz3hFlF4uDBX379sWff/4JIQQcHR2RP39+PH78GBqNBkWKFEFsbKw0GqZGo4Gfnx/y5MljccWJiIjIPlTHN7TGAIeMFRARWVX37t2xfft2AEDTpk3Rv39/nDt3TjW9i4sLypQpY1ZZTZs2xXvvvYeVK1diw4YNaN68OYYOHYrAwECcPXsWP/zwA27fvg0A+Pnnn+Hj42NWOZQ9LAoW/P3331i2bBk0Gg369u2LqVOn4t69e6hUqRIA4NatWwCAy5cvY/bs2fjtt9/g4+ODdevWISQkxPLaExERUbZTbVlg6tSJCsv0dWEkIiLTrV27Vnq9e/du6V5NTfHixXHz5k2zy1u4cCHi4+OxZcsW7NmzB3v27JGtd3BwwLfffosBAwaYXQZlD4sGOFy0aBEAoHz58li4cCF8fHygUXhK8NZbb2H69OlYu3YtoqOj0aZNG8TFxVlSNBEREdmJ2v28VVoWmFEfIiLKOdzd3bF582b8+eefaN68Ofz9/eHi4oKiRYuiR48eOHDggGIXBsp5LGpZcPjwYWg0GqNH0QwLC0OfPn2waNEizJw5E99++60lxRMREZEdCJVbepMHOFQas0BtqgUiIjKLtVps9e3bF3379jU6fY8ePdCjRw+rlE32YVHLgsePHwOArE+L9gAWycnJOtt07doVQghERkZaUjQRERHZi5VaFnA2BCIiopzLomBBJl9fX+m1l5eX9DozmKDN398fACzqB0NERET2o/bw3+TJEDjAIRERUY5lUbAgICAAAPDs2TPZMhcXFwDAmTNndLbJHPQwKSnJkqKJiIjITtS6ISjd/Ouj2A2B0QIiIqIcwaJgQcWKFQEAFy5ckJY5OTmhatWqAP5vAERts2fPBvB6lE0iIiLKfWw5wCERERHlDBYFC0JDQyGEwM6dO2XLe/XqJY1L0KdPH2zevBl//fUX2rZti507d0Kj0aBDhw4WVZyIiIjsI12lH4LJ3RAUlsUlpppcHyIiIrI+i4IFnTp1AgBs27YNjx49kpZ/9NFHqFatGoQQWLZsGdq3b4/u3btj27ZtAIBixYrhq6++sqRoIiIispND0U8Vl5vaUsDBQTd9zMsUs+pERERE1mVRsCAoKAjXr1/HuXPnkDdvXmm5k5MTduzYgZ49e8LJyQlCCGnKjrZt22L//v3w8fGxrOZERERkF7eevVJcbmqwQG2axBdJbF1ARERkb06WZlCiRAnF5T4+Pvjjjz/w+++/4+rVq0hLS0Pp0qVlMycQERFR7uPq5AhA94a+sI+7SfnEvNSdYhkAElLS4eXmbE7ViIiIyEosDhYY4uXlhWrVqtm6GCIiIsomagMc+nq4mJRPvdJ+2Hv5idH5ExERUfaxqBsCERER/fcoTW9Y2t/T5Hz8PF2Nzp+IiIiyl1VbFjx+/Bh79+7F2bNn8ezZMwCAr68vKlSogNDQUAQEBFizOCIiIrIDoXAzrzBWoUFq2zBUQPRmUTpmENkCf2vWZZVgwb179/D5558jMjISaWlpimkcHR3RqVMnTJ48GcWKFbNGsURERGQHSpdipg5uCAAalW3UBj4kotzF0dERAFTvD4isLfO3lvnbI8tY3A3hwIEDqFChAlavXo3U1FRp5oOsf2lpaYiIiEClSpVw4MABa9SdiIiI7ECpm4AZsQL1lgWMFRC9EZycnODq6oq4uDh7V4X+I+Li4uDq6gonJ5sPzfefYFGw4P79+wgLC0NcXByEEGjdujVWr16NW7duISkpCUlJSbh16xYiIiLQpk0bCCEQHx+PsLAw3L9/31rvgYiIiLKR0s28WisBfTRQ3kawIwLRG0Gj0SBfvnx48eIFYmNj7V0desPFxsbixYsXyJcvn1nnJNJlUchl4sSJiIuLg6OjIxYtWoRevXrppClatCiKFi2Kzp07Y/ny5ejduzfi4+Px008/YebMmZYUT0RERHag1EvAnMsytWs59kIgenP4+PggJSUFDx8+RHx8PDw9PeHm5gYHBwfe0JFFhBDIyMhAUlISXr58iYSEBPj4+MDHx8feVXtjWBQs2LJlCzQaDT788EPFQEFWPXr0wIEDBzBnzhxs3ryZwQIiIqJcSOnJv3ljFqjkz34IRG8MjUaDggULwt3dHfHx8YiJiUFGRoa9q0VvEAcHB+TJkweBgYHw9va2d3XeKBYFCzK7EnTr1s3obbp164Y5c+awGwIREVEupXQvb95sCCoDHDJWQPTG8fb2hre3NzIyMpCWlsaAAVmFg4MDnJyc4OBg8VB8pMCiYIGPjw8ePXpkUgQnMy2bhxAREeVOSk/+zRvgUG0jRguI3lQODg5wcXGxdzWIyAgWhWBq1KgBADh79qzR22SmzdyWiIiIchfFMQus2A2BLQuIiIjsz6JgweDBgyGEwKRJk5CQkGAwfUJCAn7++WdoNBoMGjTIkqKJiIjIThRnQzAjH06dSERElHNZFCx4++238d133+HixYsIDQ3FqVOnVNOePn0aTZo0weXLl/Hdd9+hefPmlhRNREREdpKhcDdvzgCHaiEGpfyJiIgoexk1ZsH333+vuk6j0aBGjRo4fvw4qlevjooVK6JmzZrw9/eHRqPBo0ePcOzYMZ3uB99//z3GjBljhbdARERE9mbO2FJsWUBERJRzGRUsGDt2rMG+iBqNBkIInD17VnEMAyEENBoNjh8/juPHjwMAgwVERES5kNKTf40ZHRHUri3YsoCIiMj+jJ4Nwdg5j/Wl47zJREREuZ/imAVmzYZgeV2IiIjINowKFnAeVCIiIsqk2LLAnNkQVFojpKbzuoOIiMjeLBrgkIiIiP57lKY2NKeVgFp84eKDF6ZnRkRERFbFYAEREREZTa1LoTljFrg6K1+G5HFxNDkvIiIisi4GC4iIiMhoasMPmdOyoICnq+JyJ0cOZkBERGRvRg9waMizZ8+waNEi7Ny5E+fOncOzZ88AAL6+vqhQoQLefvtt9OvXD76+vtYqkoiIiLKZ2kwF5gxwqD4bgul5ERERkXVZJVgwd+5cfPHFF0hISAAgb6J479493L9/H9u3b8fYsWMxdepUDBgwwBrFEhERUTZTu483Z4BDAHB0ALKOZ8jZk4iIiOzP4mDBTz/9hFGjRkkndm9vb1StWhUFCxYEADx8+BD//vsv4uLi8OrVK3zyySd4/vw5RowYYWnRRERElM1UWxaYmd/rsQ7keTJWQEREZH8WBQvOnTuHb7/9FkIIFCpUCJMnT0a3bt3g7OwsS5eWlobVq1fjyy+/xP379zF69Gi0bdsW5cuXt6jyRERElL3UxywwL1ygNNaBWkCCiIiIso9FAxzOmjUL6enpKFCgAA4dOoQePXroBAoAwMnJCd27d8ehQ4fg7++P9PR0zJo1y5KiiYiIyA7U7uPNjBUodl9grICIiMj+LAoW7N69GxqNBiNHjkSxYsUMpi9atCi++uorCCGwa9cuS4omIiIiOxAqoxaY27JAaTO2LCAiIrI/i4IF9+7dAwDUq1fP6G3q168PALh//74lRRMREZEdqM5UYGbLAqUgA2MFRERE9mdRsMDR0RHA6zEJjJWenv66YAeLiiYiIiI7UHvqb80xC9RaLxAREVH2seiOPbPrgSldCjLTGtNtgYiIiHIW9QEOzctPacwC1dYLRERElG0sChY0b94cQghMmTIFZ8+eNZj+3LlzmDx5MjQaDVq0aGFJ0URERGQHQnXqRI5ZQERE9CaxKFgwdOhQuLq64uXLl2jQoAGmTJmCp0+f6qR7+vQppkyZgoYNG+LFixdwdXXF0KFDLSmaiIiI7MDqLQsUggyMFRAREdmfkyUbFy9eHHPnzkW/fv3w8uVLfPXVV/j6668RFBQEf39/aDQaPHr0CDdu3IAQAkIIaDQazJ07l90QiIiIciHVp/5mD3Cou0yt9QIRERFlH4uCBQDQu3dv5M+fHx999BHu378PIQSio6Nx/fp1APITfmBgIObNm4c2bdpYWiwRERHZgdp4AtacOpGhAiIiIvuzOFgAAG3btsXNmzcRGRmJnTt34ty5c3j27BkAwNfXFxUqVMDbb7+Njh07wtnZ2RpFEhERkR2ozVRg/mwICgMccoRDIiIiu7MoWHD79m0AgKenJ3x9fdGtWzd069bNKhUjIiKinEe1F4IVZ0NITM0wLzMiIiKyGosGOCxRogSCgoKwcuVKa9WHiIiIcrB7zxMVl5s7wKHSdrefJZiXGREREVmNRcECd3d3AEDNmjWtUhkiIiLK2a4/eaW4XKmFgCUSU9Ktmh8RERGZxqJgQeHChQEA6ek8oRMREf0XODsqBwUKebuZld+j+GTF5QkpaWblR0RERNZhUbCgRYsWAIADBw5YpTJERESUs6lNnVgwr3nBglpBPirlmJUdERERWYlFwYIhQ4bA3d0dU6ZMwb1796xVJyIiIsqhMhTGHnR21JjdDaFwvjyKy4XaSIpERESULSwKFgQHB2P58uVISEhAnTp1sHz5cqSkpFirbkRERJTDKN3CO5o7uiHUB0ZkqICIiMi+LJo6sWnTpgCAAgUK4MaNG3j//ffRv39/BAcHw8fHB46OjqrbajQa7Nq1y5LiiYiIKJspdUNwsGBwQ7VN1bo7EBERUfawKFiwd+9eWbNDIQSSk5Nx7tw51W00Gg2EEFYfNZmIiIhsT6l7gAUNC1SvBzhmARERkX1ZFCxo1KgRb/qJiIj+Q5Ru4i25FlBrlZDBaAEREZFdWdyygIiIiP47lLoHWPLcQHXMAsYKiIiI7MqiAQ6JiIjov0XpJt6SMQvUthUc4pCIiMiuzA4WxMTE4OTJkzh27Jjdpk1MTEzEmDFjUKZMGbi5uSEwMBDh4eFm1Sc2NhZDhgxB8eLF4erqiuLFi2Po0KF4/vy56jbp6en45ZdfULFiRbi7u6NAgQJ45513cPHiRcX0+/btw4cffohq1aohICAALi4u8PX1RZMmTfDHH39wmigiIsrxrD1mgRr2QiAiIrIvk4MFW7duRc2aNREQEICaNWuiTp06KFasGIKDgzF//nxb1FFRUlISmjZtivHjx+Ply5fo0KEDihYtikWLFqFq1aq4fv260XnFxMSgVq1amDlzJpycnNCxY0d4eXlhxowZqF27Np49e6azTUZGBrp164bhw4fj7t27aNu2LcqXL4+IiAjUqFEDR48e1dlmw4YNmD9/Pl69eoWqVauiS5cuqFChAvbv34/evXujZ8+eFn0mREREtqY4ZgFsMGYBA+hERER2ZVKwYPbs2QgLC8PJkychhJD9RUdH46OPPsKnn35qq7rKTJgwAYcPH0bdunVx5coVrFq1CkeOHMHUqVPx5MkThIeHG53X0KFDce3aNXTu3BmXL1/GqlWrcO7cOQwaNAhXrlzB8OHDdbZZuHAhIiMjERwcjEuXLiEiIgJ79+7F6tWrkZCQgJ49eyItLU22TWarh8uXL2Pbtm1YsWIF9u3bh0uXLqFQoUJYsWIFNm3aZPFnQ0REZCvKUyean59aDwa2tiMiIrIvo4MF0dHRGDZsmBQcKF68OLp06YL33nsP5cuXB/D6xD537lxs2bLFZhUGgJSUFMyaNQsA8Ntvv8HT01NaN3z4cFSqVAlRUVE4ceKEwbwePHiAFStWwMXFBb///jucnP5vzMfJkyejQIECWLZsGR4/fizbbtq0aQCASZMmISAgQFrepUsXtG/fHteuXcP69etl25QrVw6BgYE6dShdurQUZNm9e7fBOhMREdmL0j28TWZDYKyAiIjIrowOFsydOxcpKSkAgJkzZ+L69etYvXo1li9fjrNnz2Ljxo3IkyePtN6WDh48iLi4OJQqVQpVq1bVWd+1a1cAwMaNGw3mtW3bNmRkZKBhw4aym34AcHV1RVhYGNLT02UBkBs3buDixYtwd3dH27ZtLSo/k7OzMwDAxcXF6G2IiIiyG2dDICIi+m8wOliwd+9eaDQa9OnTB5999pnOU4S2bdti3LhxEELg4MGDNm0+ePr0aQBAtWrVFNdnLj9z5oxN8srcpkKFCtJNvrnlA8CdO3cwZ84cAECbNm2M2oaIiMgerD0bglqrBI5ZQEREZF9OhpO8Fh0dDQDo1q2bapp33nkHX375JRISEvDgwQPFJvfWcPv2bQBAkSJFFNdnLr9165ZN8rK0/EOHDmHu3LlIT0/H/fv3ceDAAaSlpWHChAlo1KiR3vomJycjOTlZ+j8+Pl5veiIiImtSmtLQkjEL1LZlsICIiMi+jA4WxMXFAVC/Qc667sWLFxZUS7+XL18CgNTtISsPDw+j62BOXpaWHx0djSVLlkj/Ozo64vvvv8cXX3xhsL4TJ07EuHHjDKYjIiKyBcXZEGzQsoCxAiIiIvsyuhtCRkYGgNc3tmq0T/jp6ekWVOvN1qtXLwghkJycjMuXL+Prr7/G999/j8aNGyM2NlbvtiNHjkRcXJz0d+fOnWyqNRERkdpsCJYMcGh8OURERJR9TJo6MafInP0gISFBcf2rV68AAF5eXjbJy1rlu7i4oEyZMpgwYQImTpyII0eOYMyYMXq3cXV1Rd68eWV/RERE2UV5NgTz81MLNDBWQEREZF8mBwuMbWpoSZNEQ4oVKwYAuHv3ruL6zOXFixe3SV7WLD/T+++/DwA60y0SERHlJBkK/RAsGbNA7XKBLQuIiIjsy+gxCzJVqFBB7/rMIIEx6dLS0kwtHgBQuXJlAMDJkycV12cur1Spkk3yytzm3LlzSE1N1ZkRwZTyM/n6+sLBwQFPnjwxehsiIqLspnQLb1k3BLXZEMzOkoiIiKzA5JYFQgir/Zmrfv368Pb2RnR0NE6dOqWzPiIiAgAQFhZmMK9WrVrBwcEB+/fvx+PHj2XrkpOTsXHjRjg6OsqmNAwKCkLZsmWRmJiIzZs3W1R+pv379yMjIwOlSpUyehsiIqLspvTE37IBDpWX23IKZiIiIjLM6JYFjRo1smnXAlO4uLjgs88+ww8//ICBAwdi+/bt0gwE06ZNw5kzZ9C4cWNUr15d2mbWrFmYNWsWOnXqhIkTJ0rLCxUqhO7du+PPP//Ep59+ipUrV8LJ6fXHMmLECDx58gR9+vSBv7+/rA7Dhw/Hhx9+iBEjRqBevXrS+rVr12LDhg0oXbo0OnToINtm8uTJ+OCDD+Dj4yNbfuzYMXz44YcAgH79+lnpUyIiIrI+pSf+lk2dyJYFREREOZHRwYK9e/fasBqmGz16NHbu3Il//vkHwcHBaNiwIW7duoUjR46gQIECWLhwoSx9TEwMLl++jAcPHujkNX36dBw+fBhr1qxBSEgIatSogfPnz+PcuXMIDg7GtGnTdLYJDw/Hli1bEBkZiZCQEDRr1gwxMTGIioqCu7s7li1bJgUdMo0YMQKjR49G1apVUaJECaSkpOD69es4ffo0AOCdd97BkCFDrPgpERERWZfSE39LHiWwZQEREVHOlCtnQwAANzc37NmzB99++y3y5MmDdevW4datW+jbty9OnjyJkiVLGp2Xn58fjh49ikGDBiElJQWRkZGIi4vD4MGDcfToUfj6+ups4+DggNWrV2Pq1KkIDAzEpk2bcPbsWXTp0gXHjx9H7dq1dbb59ddf0a5dOzx58gSbNm3C5s2bERMTgw4dOiAyMhKrVq3SCTAQERHlJIpTJ1rQtIAtC4iIiHImjWDoPleLj4+Ht7c34uLiOI0iERHZ3KRtlxCbkCpbVi4wL96vY/wMQNqevUrB5L8v6ywPq1QI9Ur7mZUnERGRKXhPpSzXtiwgIiKi7GftMQvUNmXLAiIiIvtisICIiIiMptQg0TZTJzJaQEREZE8MFhAREZHRFKdOtCRDtQEOLcmTiIiILMZgARERERlNuRuCJS0L1MphuICIiMieGCwgIiIioynew1vQtEA10MBYARERkV0xWEBERERGS0xN11lmizELElJ0yyEiIqLsw2ABERERGUVttmWLZkNQ2fbIjafmZ0pEREQWY7CAiIiIjPL0VYri8pfJaWbn6aQSaQjM5252nkRERGQ5J0s2/v777wEAtWvXRsuWLa1SISIiIsqZ0tKVWxY4OZj/7MHJUXlbZ5XlRERElD0sChaMHTsWGo0GkZGR1qoPERER5VBqMxS8VdDLonzzuDjqjFGg1uWBiIiIsodFYfv8+fMDAIoVK2aVyhAREVHOpRYssGTMAgDI5+6ss4yxAiIiIvuyKFhQunRpAMDDhw+tUhkiIiLKudRu4C2ZDQEAHBSiDWqBCSIiIsoeFgUL3n33XQgh8Ndff1mrPkRERJRDqd3AWxgrUNw+g7ECIiIiu7IoWPDpp5+icuXKWLp0KRYvXmylKhEREVFOpHYDb3HLAoXt2bKAiIjIviwa4PDhw4eYP38++vfvj/79+2P58uXo0aMHKlWqBB8fHzg6OurdnmMdEBER5R5qgw5aHiwwviwiIiLKHhYFC0qUKAHN/79AEEJg165d2LVrl1HbajQapKWZPy8zERERZS+1lgWWdkNQbllgWZ5ERERkGYuCBYA88s+nAERERG8u9dkQLIsWaNgNgYiIKMexKFiwaNEia9WDiIiIcjj12RAsy1dpe7YsICIisi+LggV9+vSxVj2IiIgoh1OfDcHClgUKy9hakYiIyL4smg2BiIiI/jvSVR73W9qywFEhA3ZDICIisi8GC4iIiOj/sXff4VFVeR/Av3f6THpCQgKEkNB7laIvC3YUaVIsWJBddVWwsKu77lp33eK64rqKZV3RdVEXQVCaYgNEkV4DoSehhfSeTD/vH0OGTOZOZiYzmZmE7+d5eEjOPfeck7lzZ+793VN8YrbZZdNbY86CqnpOgkxERBROAU9w2FhhYSE2btyI7OxslJWVAQASExMxYMAAjB8/Hh07dgxmdURERBRCa/cXyKYHHixwT7Ny0gIiIqKwCkqwoKCgAAsWLMCKFSs8LoeoUqkwffp0vPzyy0hLSwtGtURERBRCdWabbLoiwH6KnuICRosNOrUysMKJiIioRQIehrBv3z4MGjQIn3zyCSwWC4QQsv8sFguWLl2KwYMH48CBA8FoOxEREYWQViV/2dAxVhdQuecr62XTTRb5YQ9ERETU+gIKFtTW1mLixIkoLS2FEALXXHMNli5diry8PBiNRhiNRuTl5eGTTz7BddddByEESkpKMHHiRNTV1QXrbyAiIqIQ8LRCgVoZ2LOHoekJsumc5JCIiCh8Avp2f/3113Hu3DkoFAq88847+OqrrzBz5kx07doVGo0GGo0GXbt2xYwZM/Dll1/i3//+NyRJwtmzZ7Fo0aJg/Q1EREQUAnLDBUZnJQZcrkErP9SAwQIiIqLwCShY8Pnnn0OSJMyZMwc///nPveafO3cu7rnnHgghsHLlykCqJiIiohCzydy8y61k4C9PEyRyjkMiIqLwCShYcPToUQDArbfe6vM+t912m8u+REREFPkccxC5pysCjxV4DBZ4GvZARERErS+gYEFNTQ0Ax/KIvkpIcIxLrK2tDaRqIiIiCiFP9+3KoPQskE9nzwIiIqLwCShYkJycDADIycnxeZ/Dhw8DADp06BBI1URERBRCnuYPCEKsAAoP0QLOWUBERBQ+AQULRo8eDSEEFi5cCKvV6jW/1WrFwoULIUkSRo8eHUjVREREFEJy8xUAnocQ+MNTCQwWEBERhU9AwYK77roLALB3715MnDgR586d85j33LlzmDRpEnbv3g0AmDNnTiBVExERUQh5um8PRrBA6alngT3goomIiKiFVIHsPGnSJEydOhWfffYZvvnmG2RlZeG6667DqFGjkJKSAkmSUFhYiG3btuHrr7+G2WwGAEybNg0TJ04Myh9ARERErc/TU35FQI8dLpThaYJDsGcBERFRuAQULACAjz/+GHfddReWLVsGs9mMtWvXYu3atW75GmY0njlzJj744INAqyUiIqIQ8jTZYDCWTvRUhI0zHBIREYVNwM8DtFotli5ditWrV+OGG26AXq+/sLzSxX96vR433HAD1qxZg6VLl0Kr1Qaj7URERBQiHnsWBGU1BE8THAZcNBEREbVQwD0LGkycOBETJ06EzWbDyZMnUVZWBsCxrGJWVhaUSmWwqiIiIqIQEx7mDwjO0onyZRRWGdEjJTrg8omIiMh/QQsWNFAqlejZs2ewiyUiIqIwatWlEz2Use9MBa7owaWWiYiIwiEI0xIRERFRe9eaSyfGGzSy6THaoD/TICIiIh8xWEBEREReeZ6zIPCyO0TLBws4ZQEREVH4+BSynzt3LgDHjMfvvvuuW3pLNC2LiIiIIpeHWAEUQYgWSJKEWL0KVfVWl3SuhkBERBQ+PgUL3n//fefSSI1v8Bun+0MIwWABERFRG9KaPQsAQK9WugULGCsgIiIKH5+CBV27dpUNCnhKJyIiovbF0417sK4D5OY+sDNaQEREFDY+BQvy8vL8SiciIqL2xdONezCWTgQApUwXBcFZC4iIiMKGExwSERGRV625dKKncmz24JRNRERE/gtoTaIPPvgAANC7d2+MGjUqKA0iIiKiyONpREAwlk70VI6nAAURERG1voB6FsyZMwf33HMP8vPzg9UeIiIiikCeJzgMVrBApk7OWUBERBQ2AQUL4uLiAAA9e/YMSmOIiIgoMglPwYIgDWiU71kQnLKJiIjIfwF9xWdmZgIAysvLg9IYIiIiikwchkBERHRpCShYMG3aNAghsHr16mC1h4iIiCKQzUO0QG74QEvIleOpNwMRERG1voCCBY888ggyMjLw5ptv4ttvvw1Wm4iIiCjC5JfWyqZLwepZIBMtsDFYQEREFDYBBQtiY2Px9ddfo0+fPpgwYQLuu+8+bNy4EWVlZXwaQERE1I4YLfLrGCpbdRhCUIomIiKiFgho6USlUun8WQiBd999F++++65P+0qSBKvVGkj1REREFCI6tVI2PTVOF5TyOWcBERFRZAkoWNC09wB7ExAREbVPnr7jNcrgLIcgP2dBUIomIiKiFggoWPDss88Gqx1EREQUwTzNHxCkUQiyPQs8TapIRERErY/BAiIiIvJK7r5dIbXuBIcchkBERBQ+wek7SERERO2aXSZaoAzWuongMAQiIqJIw2ABEREReSX3lF9u6EBLcYJDIiKiyBLQMISmTpw4gZ9++gnnz59HXV0dHnzwQXTo0CGYVRAREVEYyA9DCGKwQKZrAecsICIiCp+gBAt2796NRx99FD/++KNL+owZM1yCBYsWLcLzzz+PuLg4HDp0CGq1OhjVExERUSuTG4YQxFEIsmXZhWMVhmDNi0BERES+C3gYwpo1a3DFFVfgxx9/hBDC+U/OXXfdhfr6epw8eRJr1qwJtGoiIiIKEdlhCEGds0C+LI5EICIiCo+AggUFBQW47bbbYDKZ0K9fP3zxxReorq72mD8mJgaTJ08GAHzxxReBVE1EREQhJLd0otdhCGW5wJEvgOxPgYMrgbO7AZtVNqunuAPnLSAiIgqPgIYhvPLKK6itrUVGRgY2b96M+Ph4r/uMHz8eH3/8MXbt2hVI1URERBRCJ4tr3dKa7Vhwaiuw72P39I4DgBE/BxSuzys8BR6qjFYkRmn8aSoREREFQUA9C7788ktIkoRf/epXPgUKAKBPnz4AgNzc3ECqJiIiohCqM9vc0jz2LBACOLJOflthNlCR73NZO/PKfG4jERERBU9AwYL8fMeX/ciRI33eJzY2FgBQU1MTSNVEREQUQlEapVtaaa1ZPrO5BjBWei6s8ox7+Vr5zo4e6yAiIqJWFVCwwGp1jDu02+0+71NZ6bh4iI6ODqRqIiIiCiG/Zg6wu/dCcC3M/bqhT2qMfFGcs4CIiCgsAgoWpKamAgBOnjzp8z7bt28HAHTt2jWQqomIiCiE5G7ah2ckyGeWCQZ4257gYV4CuSUbiYiIqPUFFCwYO3YshBBYtmyZT/nNZjPefvttSJKE8ePHB1I1ERERhZDcTbvS01WE12CBfM+DDtHuAQPGCoiIiMIjoGDBnDlzAACrVq3C119/3Wxes9mMu+66CydOnIAkSbj33nsDqZqIiIhCSO6m3fMEh16CBR6GL8qVx2EIRERE4RFQsGD8+PG45ZZbIITApEmT8Jvf/MY5zAAA8vLysGXLFrz00kvo378/li1bBkmS8Mtf/hL9+/cPuPFEREQUGjaZm3bJU7CgBXMWAPLBAhu7FhAREYWF/NTDfnj//fdRXV2NdevW4e9//zv+/ve/Oy8eJk2a5MwnLlxk3HzzzXj11VcDrZaIiIhCRAgBuQf8So89C7wFC+S3K2SKY88CIiKi8AioZwEAaLVarFmzBm+//TaysrIuXFC4/+vSpQveeOMNLF++HEql+/JLREREFJk8Pdxv+ZwFHnoWyEQL2LGAiIgoPALuWdDg3nvvxb333otDhw5h586dKCoqgs1mQ1JSEoYOHYphw4Z57q5IREREEcvTUIAWD0PwsF0pEyzgMAQiIqLwCFqwoEG/fv3Qr1+/YBdLREREYeJpKIDHYQgVp5ov0OOcBTJ1M1hAREQUFgENQ/jggw/wwQcfoKqqyud9ampqnPsFqr6+Hs888wx69eoFnU6HTp06Ye7cuTh79qzfZZWXl+ORRx5BRkYGtFotMjIy8Oijj6KiosLjPjabDa+88goGDhwIvV6P5ORkzJo1Czk5ObL5d+3aheeeew6XX3454uPjodFokJ6ejjvuuAP79+/3u81ERESh4ClYoJC7iig9ARxc0XyBZSfly5NdDcFb64iIiKg1SEK0fOYghUIBSZJw4MABn3sTnDhxAj179oRCoYDVam1p1TAajbjyyiuxdetWpKWlYezYscjLy8P27duRnJyMrVu3Iisry6eySkpKMGbMGBw/fhxZWVkYMWIEDh48iIMHD6JXr1746aefkJiY6LKP3W7HjBkzsHLlSsTHx+Pqq69GSUkJvv/+e+j1emzYsAEjR4505rdarVCr1QCAxMREjBo1ClFRUdizZw9OnDgBjUaDDz/8EDNmzPDrdaiqqkJcXBwqKysRGxvr175ERES+OF1Whzc2nnBLv75/R4zvneKauPM9oGCv90InuU92/N6PuThaWOOSlhKjxWPX9vKnuURERH7hPZW8gCc4bKkAYhQAgBdeeAFbt27FmDFjcPToUSxduhTbtm3Dyy+/jOLiYsydO9fnsh599FEcP34cN998M44cOYKlS5ciOzsb8+fPx9GjR7FgwQK3fRYvXoyVK1eiZ8+eOHz4MJYvX46NGzdi2bJlqKurw+zZs92CIZdddhk+++wzFBUVYd26dVi2bBmOHj2K3//+9zCbzZg7dy5KSkoCel2IiIiCrcYkH9yvM8vMPVB93nuBsZ1lk+V7FrBrARERUTiEPFhgszkuLFSqlk+XYDab8frrrwMAFi1ahOjoaOe2BQsWYNCgQdi0aRN27drltayCggJ8/PHH0Gg0eOONN1za9dJLLyE5ORlLlixBUVGRy34LFy4EAPztb39Dx44dnenTp0/H5MmTcfz4cXz++efOdJVKhe3bt2PKlCkuq0EoFAr88Y9/RO/evVFdXY21a9f6+WoQERG1Lk837F0TDe6J3pZNBPyas4ATHBIREYVHyIMFR44cAQC3bv3++PHHH1FZWYnu3btj6NChbtsbuvKvXr3aa1lffvkl7HY7xo4d63LTDziWhZw0aRJsNhvWrVvnTM/NzUVOTg70ej0mTpwYUP2AYzbpQYMGAQDOnTvn0z5EREShYvewEmKMTibw720lBIBLJxIREbUBfj3e//7772XTd+zY4bX7vMlkwokTJ/D3v/8dkiRhyJAh/lTtYt++fQCAYcOGyW5vSPdl0kBfylq8eLFLWQ37DBgwwDkPQUvrb3DypGOyp9TUVJ/3ISIiCgWPExzKrYbgIRDgWqCHpRM5DIGIiChi+BUsGD9+vNuaykIIv+YHEEJAkiTcf//9/lTt4tQpx5JMXbp0kd3ekJ6fn98qZQWzfgD44YcfsGvXLmg0GkyYMKHZvCaTCSaTyfm7PytREBERtYTN09KJcuMGAhqG4F4ehyEQERGFh9/DEIQQzn9yad7+denSBYsWLcLUqVNb3OiaGsdMyQaDzFhJAFFRUQCA6urqVikrmPVXVVU5gy2PPfYY0tLSms3/l7/8BXFxcc5/6enpXusgIiIKhN3DDbtszwJPYxYa8xBQkB+GwGABERFROPjVs2DDhg3On4UQuOqqqyBJEt59911kZmZ63E+SJOh0OqSlpfHmthGbzYbZs2fj2LFjGDlyJP7whz943efJJ590WZ2hqqqKrykREbUqTw/3FXKPHAIZhiBTHmMFRERE4eFXsGDcuHGy6SNHjkS/fv2C0iBfNKx+UFdXJ7u9trYWABATE9MqZQWr/gceeABr1qxB7969sXbtWmg0Gq/t1Wq10Gq1XvMREREFi6ehAPJzFvgyDMH38jgMgYiIKDxavn4hHKsCAEDnzvLrJbeWrl27AgDOnDkju70hPSMjo1XKCkb9v/3tb/HOO+8gPT0dX3/9NTp06OC1rUREROHgaSiA24SE9eWAzey9QEstUHQYSOoBKC9eijSdFwkArAwWEBERhUVAwQJfbsZbw+DBgwEAu3fvlt3ekN6wHGGwy2rYJzs7GxaLxW1FBG/1/+1vf8OLL76IlJQUfP311xxGQEREEa2g0iib7jLHQNlJYNvbvhe67U0gpT8wYq4zYCC3GgLgmDNBbj4DIiIiaj1+T3Dor9WrV+POO+/EDTfcgAcffNDjTbk/rrjiCsTFxeHEiRPYu3ev2/bly5cDACZNmuS1rAkTJkChUGDz5s0oKipy2WYymbB69WoolUrceOONzvTMzEz07dsX9fX1WLt2rV/1v/POO/jNb36D+Ph4rF+/Hr179/baRiIionDalV8um+5y/354LWCVDyp4VHQQKD7s/FVuzgIAOF0uP+yPiIiIWk9AwYINGzYgJSUFXbt2RUVFhdv2p59+GlOnTsVHH32Er776Cm+//TZGjx6N//73v4FUC41Gg3nz5gEAHnroIeccAQCwcOFC7N+/H+PGjcPw4cOd6a+//jr69OmDJ5980qWstLQ03HbbbTCbzXjwwQdhtVqd25544gkUFxfjjjvuQEpKist+DZMMPvHEEy5BhhUrVmDVqlXo0aMHpkyZ4rLP8uXL8ctf/hLR0dFYt24dhgwZEtDrQEREFAqxevmOiFqV8uIvFadaVnij/TxNZni2or5lZRMREVGLBTQMYd26dSgpKcG0adMQHx/vsm3//v3485//7FxiMSEhAeXl5bBarbj//vsxduxYdOvWrcV1P/XUU/jmm2+wZcsW9OzZE2PHjkV+fj62bduG5ORkLF682CV/SUkJjhw5goKCArey/vGPf2Dr1q349NNP0adPH4wYMQIHDx5EdnY2evbsiYULF7rtM3fuXKxbtw4rV65Enz59cPXVV6OkpASbNm2CXq/HkiVLoFJdfHmLioowe/Zs2O12ZGZm4u2338bbb7t315w6dWpAy0oSEREFmwT5IQAaVaNnDnarbB6vGu2XkRQFHCtxy8IVEYiIiEIvoJ4FP/zwAyRJwjXXXOO27c0334QQAgkJCdi1axdKS0uxfft2JCYmwmQy4a233gqkauh0OmzYsAFPP/00DAYDPvvsM+Tn52POnDnYvXs3srKyfC6rQ4cO2L59O+bPnw+z2YyVK1eisrISDz/8sLPNTSkUCixbtgwvv/wyOnXqhDVr1uDAgQOYPn06du7ciVGjRrnkr6urg9nsmPTpwIED+M9//iP7T25YBRERUTgJuN+td0+OapRBeF4yceidwODbAW2sh8Ivrp7QOV4vn4XBAiIiopCThGj5V3C3bt1w+vRpbNiwAT/72c9ctqWnp+PcuXN46qmn8PzzzzvTn3vuOfzhD3/AsGHDsHPnzpa3nAAAVVVViIuLQ2VlJWJjPVyIERERBeDP63JQbXTtOTCoSxxuG+lYHQg2K7DuV+47dr8K6HdhSJ4QwJpH3fN0GwsMnAEAqKy34K9fHHbLcsOAVPysV3IgfwIREZFHvKeSF1DPguLiYgBwG4Jw4sQJnD17FgAwbdo0l21jx4515iEiIqLIJ/dcwWVyw0a9A1xIjeY0kCRAITP6sVGPBE8LHrBjARERUegFFCxouHiorKx0Sd+8eTMAIC4uzm0Sv6SkJACObvlEREQU+ewyd+su8xh4GoKgULr+Lind89gvBhokT0snchwCERFRyAUULEhNTQUA5OTkuKSvX78egGOJw6YaVi5ISEgIpGoiIiIKEdl79cb39XYfehYA7sEDwKVXgoeOBexaQEREFAYBBQtGjx4NIQTefPNNZ0+BkydP4vPPP4ckSbj22mvd9jl69CiAi4EGIiIiimxyExwqGvcC8DQMQdHkMkOSuexwGYbAngVERESRIqBgwS9+8QsAjmUSBwwYgBkzZmD06NEwGo3Q6/W4/fbb3fb5/vvvAQC9evUKpGoiIiIKEbl7dZfb+kB6FtQWX8zuac4CxgqIiIhCLqBgwVVXXYVHHnkEQgjk5eVh5cqVKClxrI/80ksvoUOHDi75jUajs9dB09UTiIiIKDLJTnDY+AoikDkLKk4Bdsf+noIF7FlAREQUejLTEvvnlVdewdVXX41ly5bh/PnzSEtLw1133YWrrrrKLe+qVasQGxuLuLg4TJo0KdCqiYiIKAS8TnDoa88CT9GAytNAQoZrmY0wVEBERBR6AQcLAOCmm27CTTfd5DXfrFmzMGvWrGBUSURERCEiN2eB5MvSiU17FliM8vlM1Y7sHochMFxAREQUagENQyAiIqL2T7ZngeTD0olNexb0uFo+34Vgg6elExkrICIiCr2g9Cxoymq1ory8HIBjiUSVqlWqISIiohCQu1lX+LJ0YtPVEBKz5PNd2N9TzwK5YAURERG1rqD1LMjJycH8+fPRt29f6HQ6pKamIjU1FTqdDn379sXDDz+MQ4cOBas6IiIiCgFPQwBc5hfwNAzBl9UQAM89Exo2c9YCIiKikAtKsODJJ5/EoEGD8MYbb+DIkSOw2+0QQkAIAbvdjiNHjmDRokUYPHgwfve73wWjSiIiIgoBT0MAXHsWBLAaAuDsWSBJkuwciByGQEREFHoBjw+YP38+3njjDeeTh759+2LUqFFITU0FAJw/fx7bt2/HoUOHYLPZ8OKLL6K2thavvvpqoFUTERFRK/O0bKFPExz63LPg4v4S3Fc/4NKJREREoRdQsODHH3/EokWLIEkS+vXrh3/961+4/PLLZfP+9NNP+OUvf4kDBw7g9ddfxy233OIxLxEREUUGT7fpzskIbVagvtxDpiYdGD31LLDUO39USBKDA0RERBEgoGDB22+/DQDIzMzEjz/+iLi4OI95x4wZg++//x7Dhw9Hbm4u3nrrLQYLiIiIIlydSb7XgCTswL6lwNmdgM0sv3PTngSeehbkrAJKTwDD7pQdhlBn9tBzgYiIiFpNQHMWbN68GZIk4be//W2zgYIGcXFx+M1vfgMhBDZv3hxI1URERBQCy3adlk1PPv89cGqL50ABINOzoJnLjqKDwP6lUMhEC/afqfSlqURERBREAQULzp8/DwAYOnSoz/sMGzYMAFBYWBhI1URERNTK7HaBE8W1sttiq495L0DRpAOjUt18/qIc2D1MluhpVQYiIiJqHQEFC3Q6HQCgtlb+QkJOQ16tVhtI1URERNTKLJ5WOQAQr7I0v7NCDcR2ck3TRAGGDp73sRphtckPObDZGSwgIiIKpYCCBZmZmQCA1atX+7xPQ96srKxAqiYiIqJW1tzD/ASDl14C/abI9yToP83zRIcAeqcYZNNt7FlAREQUUgEFC2688UYIIfDaa6/h22+/9Zp/w4YNeO211yBJEm688cZAqiYiIqJW5un+/Ko+KVB4WidhwAxg3G+BzLHy21MHAFf+HtDJz3XUNV6+52EznRyIiIioFQQULHj00UcRGxsLi8WCG264AfPmzcPu3btdxhva7Xbs3r0b8+bNw4QJE2A2mxEbG4tHH3000LYTERFRK/K0hKFKIclHElIHOoIEsWnNFxyVBGT8n+wmpSQfFWDPAiIiotAKaOnEDh064JNPPsHkyZNhNpvx5ptv4s0334RGo0FiYiIkSUJpaSnMZsdMyUIIaDQaLFu2DElJSUH5A4iIiKh1eLw9lwAImZv65lY7aEohn1cJD8ECzllAREQUUgH1LACA6667Dlu3bsWIESMghIAQAiaTCQUFBTh37hxMJpMzfcSIEdi2bRuuueaaYLSdiIiIWpGnngUKSQpCsED+eYXKU88CBguIiIhCKqCeBQ2GDBmC7du3Y8eOHfjmm2+QnZ2NsrIyAEBiYiIGDBiAa665BpdddlkwqiMiIqIQkIsHAIDCU88CSL4X7mGSQ/YsICIiigxBCRY0uOyyyxgQICIiaic89SyQPAUF/OpZIB8s0JlKAMS6pecUVCE5Jtn38omIiCggLQoWrF27Fl9++SXy8/Nhs9nQqVMnjB8/HrNmzYJa7WUpJSIiImoTPD3L99izQAq8Z0FUeQ6AUW7pe05V4Ge9GCwgIiIKFb+CBYWFhZg6dSq2b9/utm3x4sV45pln8Nlnn2HgwIFBayARERGFh8eeBcGYsyBa/sY/Rq8FKt3TVUo/AhFEREQUMJ+/1W02GyZPnoxt27Y5Jyxs+i83NxfXX389SkpKWrPNREREFAKeVit09CyQ2ehPsCC+m2xyol6+xwHnLCAiIgotn7/VP/nkE+zYsQOSJKFHjx549913ceDAARw+fBjLli3D6NGjATh6H7z88sut1mAiIiIKDeFvzwJ/JjhUKGSHIiiEDV0TDW7pVgYLiIiIQsqvYAEAdOvWDdu3b8c999yD/v37o1evXpg+fTo2b96McePGQQiBZcuWtVqDiYiIKDQ83Z8rJEB2RgN/ehYAgCbKPU3YEKV1DyLY7B6WZiAiIqJW4fO3+p49eyBJEn71q18hPj7ebbtSqcTzzz8PAMjNzUV1dXXQGklEREShJzxMcSgFY4JDAFDITJ1kt0GpcC/HxlgBERFRSPkcLCguLgYAjBgxwmOexts4bwEREVHb5rFngc0YpGCBzPwEdaVQygQpPE22SERERK3D59UQ6uvrIUkSoqOjPeYxGC6OMTQajYG1jIiIiMLK3iRaYLBW4rKyVUjfVgVEa9138HcYgtzyiVVnMSz3bzCLgciJvcIZgLDaGCwgIiIKJT+/1X3naVIkIiIiahuOFroOKbysbBUSzAWQPE1k6G+wQK5nAQC1MKN39RZ0rj/iTGPPAiIiotBqtWABERERtW3nKi/2EtTY6pBgLgDQzGgDuZ4CzZGbs6BR+anGE840Kyc4JCIiCimfhyE0eOONN5CSkhKUfM8884y/1RMREVGIaJUXnylo7BcDB1FaD5cPCRn+VZDQDajId0tu6LmgblSnze7otSj5Oy8CERERtYjfwYI333yz2e0NX+Le8gEMFhAREUUya6M5CyRcfLKvVcl0TOw4AEju618F3a8Eig4BtcUuyQ2LIShgc0m32QVUSgYLiIiIQsGvYEEw5yHgkwEiIqLIZmvU9V8hrABkAgVx6UD/aUBCJqDwc3SjPgEY+2ug5Ciw892L6ReuERSiSbBACP+fchAREVGL+Pydu2HDhtZsBxEREUUYW6OeBQ037oqmwf7uVwFJ3VteiVoHpA0C4rsCFacu1NFQp+s8BZy2gIiIKHR8DhaMGzeuNdtBREREEabxMATFhWEIbh0DPUxS6LdG5TRU0XQYgmOSQz8nUSQiIqIW4WoIREREJKvxcoUNPQvcBhG2RrBAapjg0OTaHvYsICIiChkGC4iIiEiWxXYxWBBtLQMgM+eQIkhP+hstu9hQRZS13CWL0era04CIiIhaD4MFREREJMveaBhCgrkQgMycBVKQggWNgg5So/4LDRMrAsDpsrrg1EVEREReMVhAREREshrPWWBSGgDIzFkQ1SE4lVXkO39sXIfKbpZNJyIiotbFYAERERHJcp2zwPGE3+2GXRcXnMrShjh/jNFenL+gcc8Cqy14SzgTERFR8xgsICIiIlmN5yxoWMZQ0XiKQ0kRvMf90SkXi21UZsMqDABgEwwWEBERhQqDBURERCTLpWcBZHoWKNTBq8xlNYSLyUr2LCAiIgoLBguIiIhIltUmoLRbkGg6ixSjY04Bl9UQgrVsIuAyUWLjSRSTTaegttcDYM8CIiKiUAritzwRERG1F0IIpFTsweCKr6EQF5csVLj0LAjSSggAoJTvWTCo4hsMqvgWx2JGoqJ2SvDqIyIiomaxZwERERG5OZp/GkPLv3QJFABNhyG0Ts8C92kQBHpWb0Pu4b3Bq4+IiIiaxWABERERuSnOOyibrnRZ11AbvAobleUyiWIjyaZ82XQiIiIKPgYLiIiIyI3NbJJNj9Y1mtQwsXvwKkzo5lhdAZ4XWNDCErz6iIiIqFkMFhAREZEbu90mmx6vvxAsiO0M9J4QvArVemDIbGfAIE4vs9KC3QLBSQ6JiIhCghMcEhERkRubTLBAo1JAGjANSMwC4tI9dwFoqS4jgJR+QHkeDF++gsp6154ECmGDzS6gUga5XiIiInLDYAERERG5EXa7W5oCANIGA/qE1qtYYwA69oNNEwPA6Fq/sMFqF1AFcREGIiIiksdhCEREROTGZnPvWSBJknOYQGtTKNyHIeht1bDZOQyBiIgoFBgsICIiIjdCZhiCQkLIggVQund+TDSfg8nq3uOBiIiIgo/BAiIiInIjN8FhKHsWQJIfa3CuqDg09RMREV3iGCwgIiIiN3abzJwFEjzexAeb1ughKGCuCUn9RERElzoGC4iIiMiNXWaCQ0fPgtCsRKDpdZVsut1qkU0nIiKi4GKwgIiIiNx4nrMgND0LpPh02XSb1RqS+omIiC51DBYQERHRRTYrUJ6PuPp8t02hnLNAKTPBIQBoK44BdWUhaQMREdGlTP6bmIiIiC49RTnArvcBqxGGWvcbckfPgtAMQ1CqNbLp0XlfAVU/AB16ASN+Dqh1IWkPERHRpYY9C4iIiAiwWYCd7wFWIyw2IZ9HUoQuWKBUy6YXVBodP5QcBY59FZK2EBERXYoYLCAiIiKg4hRgMwEAqozykwjapdB1SFRp9bLpLqGKkqMhaQsREdGliMECIiIiAiz1zh9tdvmeBfaErFC1Bqr4LrBK7kMRFIpG4QKrKWTtISIiutQwWEBERESA/eIqA3bhHiyoV8YgafRtoWuPUoVzWTNgb7L6gkvT7FxGkYiIqLVwgkMiIiJyCRY0viE/EjMGhboslGtSMTS2Y0ibpE8fjHX1yUg0n8Xo0pVQCBvsQkCIC1Mn2LmMIhERUWthzwIiIiJyTHB4QeOeBWcMfVGm7QwhKaFWhmZywwYqhQJWhRZFuiyc0fe72D5caJ+pOqTtISIiupQwWEBEREQuXfobT1nQeBiAUhHaYEHj4ETjdtjtjTJx3gIiIqJWwWABERERufQsEI16FtgarYCgVoT2skGlvFifrVGwoM7caPhBybFQNomIiOiSwWABERERAXbbxR9lggUKqclKBCFgslxsU+OghctqDfXloWwSERHRJaNNBwvq6+vxzDPPoFevXtDpdOjUqRPmzp2Ls2fP+l1WeXk5HnnkEWRkZECr1SIjIwOPPvooKioqPO5js9nwyiuvYODAgdDr9UhOTsasWbOQk5Mjm7+kpATvvvsu7rvvPgwZMgQqlQqSJOH999/3u71ERERB1XgYQqNu/nY4nuirlaG/ZOiREu38+ay+z8U2cUUEIiKiVtdmV0MwGo246qqrsHXrVqSlpWHKlCnIy8vDe++9hzVr1mDr1q3IyvJtPeiSkhKMGTMGx48fR1ZWFqZOnYqDBw/i1VdfxRdffIGffvoJiYmJLvvY7XbMnDkTK1euRHx8PCZOnIiSkhIsX74ca9euxYYNGzBy5EiXfX744Qf84he/CNprQEREFDSNhyE0SrZfeKKvCnGvAgAwaC5eptQrY5w/Nx4mARtXRCAiImoNbbZnwQsvvICtW7dizJgxOHr0KJYuXYpt27bh5ZdfRnFxMebOnetzWY8++iiOHz+Om2++GUeOHMHSpUuRnZ2N+fPn4+jRo1iwYIHbPosXL8bKlSvRs2dPHD58GMuXL8fGjRuxbNky1NXVYfbs2bBaXS9gOnbsiAcffBCLFy/GgQMHcO+99wb8OhAREbVYfQWwZwnw3QvAyQ3O5GqjI3AgoICQHJcKqjD0LFA1muCw8TAEl54FR9YCO94FKs+EsGVERETtX5sMFpjNZrz++usAgEWLFiE6+mI3xQULFmDQoEHYtGkTdu3a5bWsgoICfPzxx9BoNHjjjTegUl28GHnppZeQnJyMJUuWoKioyGW/hQsXAgD+9re/oWPHi+tOT58+HZMnT8bx48fx+eefu+wzZswYLFq0CPfccw8GDBgARYgniiIiInKy24GfXgfO7ABqi53JJqsdJqtjHIK98eSGIV42EXCdULFxWyrrmww9OL8f+GmRI/hBREREQdEm71Z//PFHVFZWonv37hg6dKjb9hkzZgAAVq9e7bWsL7/8Ena7HWPHjnW56QcArVaLSZMmwWazYd26dc703Nxc5OTkQK/XY+LEiQHVT0REFBbluS5BggYVdRdvxG1hXDYRAJSNAhRCUkBcuGypN9vcM1vqgMKDoWoaERFRu9cmgwX79u0DAAwbNkx2e0P6/v37W6Wshn0GDBgAtVodUP1ERERh4WEVAbP14o14lbqD8+cO0dpWb1JTURqly+/VF9qjU3u4fOHKCEREREHTJoMFp06dAgB06dJFdntDen5+fquUFcz6iYiIwsImv4pAw3wAAgocjx7hTL+iRwfZ/K1Jklx7MxyLuQxAkzkLGuPKCEREREHTJldDqKmpAQAYDAbZ7VFRUQCA6urqVikrmPX7y2QywWQyOX+vqqoKeh1ERHQJ8HBjXa/viFxbIs4Y+qBUm+5Mz+wQFaqWueiSoMeZ8noAwGlDfxgVURikzENfHHfP7CEAQkRERP5rkz0LLmV/+ctfEBcX5/yXnp7ufSciIqKmLPWyyScyZ2NfwrUugYJwLJvYQNNkFYZiXTds0IwHVHr3zJzgkIiIKGjaZLCgYfWDuro62e21tbUAgJiYGNntgZYVzPr99eSTT6KystL57/Tp00Gvg4iILgEnN8omW2U6HYZjcsMGKplVGOwCgFKmc2QRJzgkIiIKljY5DKFr164AgDNn5NdUbkjPyMholbKCWb+/tFottNrQTzJFRETtjCEJqHQPelslNQCjS5oUvliBx/kJrDab+0WMUtPazSEiIrpktMmeBYMHDwYA7N69W3Z7Q/qgQYNapayGfbKzs2GxuI+P9Kd+IiKisFC6r+YDADYo3dKUYYwWVNSZZdNtxhr3RIX830RERET+a5PBgiuuuAJxcXE4ceIE9u7d67Z9+fLlAIBJkyZ5LWvChAlQKBTYvHkzioqKXLaZTCasXr0aSqUSN954ozM9MzMTffv2RX19PdauXRtQ/URERGEhNxmg2gCbcH+UrwjjMIRRmUmy6eYO/dwTbfKBBSIiIvJfmwwWaDQazJs3DwDw0EMPOecIAICFCxdi//79GDduHIYPH+5Mf/3119GnTx88+eSTLmWlpaXhtttug9lsxoMPPgir1erc9sQTT6C4uBh33HEHUlJSXPZbsGCBM0/jIMOKFSuwatUq9OjRA1OmTAneH01ERBQoYxWw413gyyeBSpk5b+LSUVJtcktWhLFngV4jf6li0cS7J9otwNpfAV8/C2SvAOy21m0cERFRO9Ym5ywAgKeeegrffPMNtmzZgp49e2Ls2LHIz8/Htm3bkJycjMWLF7vkLykpwZEjR1BQUOBW1j/+8Q9s3boVn376Kfr06YMRI0bg4MGDyM7ORs+ePbFw4UK3febOnYt169Zh5cqV6NOnD66++mqUlJRg06ZN0Ov1WLJkCVQq95d39OjRzp9zc3MBAH/84x/x1ltvAQCGDRuGN954I6DXhoiISNb2f8kHCS6wK9Q4V2l0S1eG8dGC2kPlBwuNGCsXw7BbAWMFkLsJkBRA/6mt2TwiIqJ2q032LAAAnU6HDRs24Omnn4bBYMBnn32G/Px8zJkzB7t370ZWVpbPZXXo0AHbt2/H/PnzYTabsXLlSlRWVuLhhx/G9u3bkZiY6LaPQqHAsmXL8PLLL6NTp05Ys2YNDhw4gOnTp2Pnzp0YNWqUbF3btm1z/mvokXDy5Eln2qFDh1r2ghARETWntqTZQAEAlBvlZxMMZ88CT8GCM1VW2XQX5/YEuTVERESXDkkImcGJ1GZUVVUhLi4OlZWViI2NDXdziIgoUpWeALb8s9kseclX4+1zmW7pcXo1fntDn9ZqWbMq6yz465eH3dJ7ijzM1XzT/M6SApi4MLzLORARUcTjPZW8NtuzgIiIiPzgbfI/QwdUdBgsu+nK3smt0CDfxBnkVzgo1GQAiV56EQo75y0gIiJqoTY7ZwERERH5SAjg6Jfy22LSgIwrgE5DYDprBlDlliUzOap12+fFiIwE7Mwvd0mrskjAqF8CBfuAilNARb7j/6ZsZkDJyx0iIiJ/sWcBERFRe3dmJ1CeJ79tyO1A5lhAG4MDZytls2jCOcMhAI1Kvn6h1ADpI4GBM4C0IfI7ywUQiIiIyCsGC4iIiNq7vM2etyk1zh/rzPJd9j1NMhgqaqX8nAMFjVduUHjoPZD/Yyu0iIiIqP1jsICIiKi9q8j3vM3QwfljjE7+htugUQa7RX6pt8gHMerMPqyIcH5/kFtDRER0aeAgPiIiovZECKD6PFB9zrf8jcbzm6x22SySn6sJWO1WFNQUoNLsPqxBrVAjPSYdBrXB5/L6pcVhe265W7pre5tZ3Onsros/x3YGojtyhQQiIiIvGCwgIiJqL+w2YM8S4Nxu3/J3Gur80WKzI7+0zi1LtyTfb+oBoMZcg/8e+i+K6os85lFJKszqPQs9E3r6VKanng3ltRbfGrX7A9ffu1wGDL4dULCDJRERkSf8liQiImovCrN9DxQAgFLr/HF3vvuTe8D/+Qq+P/N9s4ECALAKK1afWA0hmukN0IinCQ6/ySn0q21OZ3YAxTkt25eIiOgSwWABERFRe1F63L/8ar3zx9ySWtksej/nK8ivamZ+hEaqLdUoNZb6lNdTG6K0jdJjO/tUlpO/rxUREdElhsECIiKi9sJi9J6nseTezh+NHiYR7JkS7VeRJpsp6HljdWrvmRK7+1wvAMDqezuJiIguRZyzgIiIqL3w40YdPa8Dkvs4f7XY5IcEDOua4LGIgyUH8cPZH1BcX3yxCUI+6CDnvez3oJSU6BTdCddlXIe06DSPeTvGalFY5fr3lTWes0ChAEY/CGx9w7fKGSwgIiJqFoMFRERE7YXV7J6mTwCG3+P42Xbh5jo+HVBpXbKZbe4rIWQkGaBQyK8acKrqFD499ilEc6sQXBCriUWVucot3SZssAkb8qry8MGhD/DwsIehV+llSgDSEwxuwQI3yb2Bm/4BlJ10rHYgXRimsOPfgKlJ/f4EVoiIiC5BDBYQERG1FzaZYIE6CkjI8LqrSWYYgqaZyQ0PlR7yKVAAeA4WNGa0GXGi4gQGdBggu93TJIelNSYkRTcKfEgSkNRkSILa4B4skAusEBERkRPnLCAiImov5LrWN+lB4IlZZhiCpxt0AF5v/hsblDwISsn7RIlVTW/oG6kxWeX3Mcqnu1Bp3NPYs4CIiKhZ7FlARETU1pw/AOT9CNSVuKbXlbnn9TFYUGW0uKV5ChacrTmLnDLflh5MNaRiUPIgVJmq8MO5H5rN+/Wpr3G0/CgGdBiA4R2HQ5IuDoEY0CkO+89Uuu1jtroPn3Cj0rmnVZ4BvnvBNS0qGeg2FujYz3uZRERE7RyDBURERG1J8RFgx7uAj0MAoPRhJQEAQqY4rUywoLS+FB8c/EC2jChVFPokOSZNVECBjlEd0T+pP7RKLa7qehXSY9ORV5kHs92MXYW7ZMvIr85HfnU+7MKOkWkjnemxevlLlrMVdeidGtP8H6eU6VlgtwK1xa5ptcVA8WFg9ENAhx7Nl0lERNTOMVhARETUlpzeDp8DBYD8U/Umiqvlu+TLzVlwqPQQzHb58f7JhmTclHWT7DZJktAroRd6JfQCAOwt2tvsygl7iva4BAs89XLIL63zWIaTXLDAE2EHzuxgsICIiC55nLOAiIioLWk69MCb6I5es1TWy9/818tMelhuKvdYTgd9B5+blaxPbnZ7hanC5ffEKPkb/mitD889YjwvySirrtS//ERERO0QexYQERG1JRWnfc+rjQU6D/OazWhxH/cvhIBRlYN/7l7hcuPuaQUEjUKD4R2H+9y00Z1G47Pjn3luk82IP/z0B+fvWqUWp8x6dFZfAaV0MXAgF9Bw03k4kLsJMNf41rjSY45xGZL8spFERESXAgYLiIiI2gqbFZDruq+NAeK6XvxdkoCYVKDr5YA+wWuxx4vcb6LL7cewt2wvonx5cg/gngH3IDUq1ae8ADA4eTCiVFE4VHYIe4r2yOZpHJgw2owwKgtxymJGpuZ6Z3pOQbX3yqKSgCseBU79BFSfd91WkS8fRDj+DdDzWl/+FCIionaJwQIiIqK2ouykfHqHXsCwu1pcbEmN+5wFlbZcJPr4ZD3VkOpXoKBBj4Qe6JHQAwnaBHx3+juv+ZUKCTWWM7AJs0vvAp9EJwP9Jrun71wMFOxzTz+3h8ECIiK6pHHOAiIiokhmtzmCBGd2Aic83FBLgX2dN+49YBG1qLTlotp+Glq10qf9O0V3Cqj+tCjf5hSoNVkhIFAvXOcUsNp8WD7Rk7h0+fSqs8CJDUD2CqC6sOXlExERtVHsWUBERBSpTNXA1reAqjPN58u4PKBq9p+pBACUWY/gjPUHNKy24EvHAr1Kj1FpowKqv1tcN2TGZiK3KrfZfElRGpTWmnHSvBbp6vFIUDpWLKi32BAjs3KDT9JHAofXyG879Jnj/9xNjiEdg29pWR1ERERtEIMFREREkerkRu+BAgAw+L4KQVMNT+Vtwoyz1i1oCBR4mqtgVOrFwECcNg59E/siXhff4voBQKVQ4ba+t+Fw6WGcqz0HIRxtOFx2GJXmSme+aK0KpbWOlRvOWn5EnKIbFJIK+05X4v96tvA10MUBXUYCZ7Y3n+/UFqD3DYAutmX1EBERtTEMFhAREUWq0uM+ZJIAtb7FVZyvMgIA6uzFELg4eWLDDXtjo9JGYUK3CS2uqzlqhRoDkwdiYPJAZ1q/pH547+B7zt9VyotdHeywoF6UIEpKlZ1zwS8x3peXBOAIKPS4JrC6iIiI2ggGC4iIiCKNEMDRL4HyPO95k3oASrVfxVeZq/Bl7pc4VXUKJbV1OGisgh0WlzwqhXu3/u5x3f2qJ1CdojtBp9TBaHMENGJ1rn/nCfMaKKDGqVw1DlviAABxmjgM7zgcI9NG+l5Rch8gZ7X3fDmrAW0ckH6Z72UTERG1UZzgkIiIKNIc+9oRLPAmJg0YcrtfRQsh8MHBD5BTloNaay1Ka+vcAgUA0Cle5/xZAQXGdh6LHvE9/KorUCqFCrf0vjhPgFrlftlihwUVxjoYLUaYbCYU1Rfhi7wvsLdor+8VxXUB+k8DFD4EXfYuAUpP+F42ERFRG8WeBURERJHm7E7P22K7OCbaU0cBhkTfZiFspKC2AKXGi6sJ1FmssvlUFyYMnNVrFrrHd4dG6edShUHSLa4bHhz8IN7Y9wYAQK9Wot5ic8tXbbIiVn/xZj+7JBtDUob4XlHWeCDjCqCmEPjhFcAu/7oAAE5vA5JC28uCiIgo1BgsICIiCjdLvWOZvop8x1KJNc0s1dd1NBDf1e8qDpUewqHSQzhYetAl3Wpzn5sAAHQqBQwqA3on9oYiwKUZA5WgS4BWqYXJZvIYGzFZXZdPPFF5Ah/mfIj0mHSM6TQGal96DSjVjl4GI+8Hti7ynO/0NqCuDIhKdhyPhAw//hoiIqK2gcMQiIiIwsluB35aBBxbDxQfBkqPec4blQJ0Gup3FbsKd2HZ0WVugQKL1Y4ak/wTdIVCwtguY8MeKAAcwxH+r/P/AQA6x8tP5phbUuuWdrziODac3oClh5f6V2GSD8MtSo85VkjY8hpQnu9f+URERG0AexYQERGFU3kuUHnaez51FHDFw4A22u8qthfILwtYdmEZQgCIVqRBI8UAAJIM0biz71hkxWf5XVdr+b/O/4eOho44XHocpaUnXbaV2Y4CAOx2AYXCvevBicoTKKkvQQe9j8srKhTAjX8H1v3ae167xdHTgL0LiIionWGwgIiIKJyqz/uWb8B0QBvjliyEwL7ifThafhQmm/sSgkIIFNUXyRbZMPZfARW6qa+HQnJcFgxIiUVWfOTd/PZM6Ike8T2wZX+2S7pGisN56w6YrXboNErZfRftXYSsuIvBjyRdEoZ1HIbUqFT5ypRq4GdPAN//zXvDauRfXyIioraMwQIiIqJwOvCJ9zy6OKBjP9lN35/5HhvPbGxR1Va7Y76CBGVPZ6AAAC7rltii8kJBkiQkGNQor7u4gkO8IhPF2AebXX7+hQYnK0+6/Ly/ZD/mDpiLFEOK/A6xnXxrlN19NQkiIqK2LvwDEYmIiC5VFqPnbVHJjpUPul4OXP4IoHYfq28Xdmw7v63F1cco05CqugydVGNc0nt1dO/BEEkmD3G9idcoYpGlmYis2H7QKXUe9nJnspmaX2JRkoAJf3Uch+bYmlk5gYiIqI1izwIiIqJQEAI49jVQsBcwVTnSTNWe81/5e7dlEYUQWJ+/HtsKWh4gaHBL71vwn40WtyuBromGFpdpN5lQvX49TCdPQpi9P21X6HTQ9u6NmKuvgqTy/ZLEoHbPq1ckYUzKEPTvHI2XdrwEs90ss6e7nwp+woGSA87fVQoVusZ0xXXdrkOUOsoRpBn3+MUdtr7pmIiysepzwFdPuaZp44Auw4GsK/1e3pKIiCgSMFhAREQUCke/dPzzRUya7A3mlnNbghIoiNfGI1GdDuCk2za9uuWdDss//hjmk7k+57fX1MBaUgJ7fR3ip071eT+dRr6N3+QUYnB6PAYlD8LOwp0+l1djqXH5vcJUgcK6Qtw/6H5ITY+DQubSSdjdAz+mauDQGQAS0P1Kn9tCREQUKRgsICIiCoUzO1x+tQo7Cu0mWCAzzj5jNFCZ55b8zalvfK4uRe8+Dl8hKdApuhN+1uVn2H+qTnY/g6b5SwNht8N6/jzsJtfJFO1VVX4FChqr370H+gEDAKXr5ISq5BQoo6Pc8uvV8pMYltQ4ehPckHkDYjWxOFZxDCbrxXZ6muhRTmFdIbaf346Oho6uG6zVgE3+tZMAJCs0MDSa/wFndjBYQEREbRKDBURERKFQV+r88bi1BstN52CCXT7vmW+A8+oWV/XQkIe8LhOYX5ovm94xzvOYf8vZsyj78CPYa2o85mmpsg/+K5tuuGwEYidOhKS42JsgWtv85YtCUmBsl7EY22WsS/rX+V9jy7ktPrfpyzyZniCVZwDjqWb3G61OxHXqZEevhNoSn+sjIiKKJJzgkIiIqLUZq5w/WoUdn5oKPAcKojsCqpYHCvom9vUaKACAg+eqZNOHpMfLpgshUPHpp60SKGhO3Y6dMB485JImSZLHaQDOlMs/9QeAoSlDYVC1fE4GAEB0MqDUNJtlq6UMx221jl9sJk6ASEREbRJ7FhAREQVLxSkgfwtQW+yaXnrc+eMBaxWMsF3cZrhwYy8pHEskRiX7XW2vhF7Qq/RIj0nHkOQhLWi4g1IBxOpUqN2+HaZjxyBMFycJtFVUwFZR4XeZquRkqFIvduU3HT4CYfFvqcGKZctQt8MxjMOclwcAuLnajC1pA1CQNQBo1OvgWGENuiTIBwQ66Dvg5wN/jv3F+1Faf7GnR7W5GvnV8j0t3P8gLZA6EKgpBixNAhOWesDiCBKsMxfiEVW0I/2n1wFFo6ETCjWQ1B3IGg8oWx4YIiIiak0MFhAREQVDxWngx38Cds83whV2C1aZz19MUKiB5F4BVauUlLitz21+7XO2ol423WYHqtevR+2WnwJqUwNFdDQ6PPSgyxACe309Cv/2N0dlfmgIEjSIVUvIOLAVhsoynBg+3pn+1aFCXNnHfb6GBom6RIxPH++SJoTAG/veQEm9j0MGVFogXmY5xepCoOwEAKBCWLDXUokh6jigXGYuh+IcoCwXGHWfb3USERGFGIMFREREATLZTMg78jmqTc1PoLfZUuqa4KU7uy9+MfAXPuWzFBbBcvYMYLNh35FipBS6L9s4IEWP2r27Am4TAEhqNeKnTXUJFACAQq9H3KTJqFz1OWCXmdzRRzE6xyVM8qmjMEbHwqK5ONdC1bfFkJQKqFNTocnIgEKvb76tkoTJWZPx0eGPYLQZW9ympislfG4ugFVmuIkAYBR26M7+gI6Fo9AlZSAUEkeGEhFRZJGEEC3/pqawq6qqQlxcHCorKxEbGxvu5hARXXLKjeX476H/ovzoWv93Tu4DGBIBANN6TINWqfW6i4BAWX0Z4rRx6JXYC2qF927s1d9tQM3Gjc7fD5+vQlW9+zj67ilRSIry3obGYidcD2ViokuapFZDnZ4OhcZzMMReVwfL2bMQNptLesXyTyHMZg97udqeWyabPqhLHHQXVkxQxsYg4a67oE7x3NuggcVmwdmaszDZTF7zNva/I/9z/GCuAwr2+rUvOvRGj86jMKv3LJ+OJRERBR/vqeSxZwEREZEPTDaTY5y7qQYwXZwccPXp71BeW9CyQnXxABwT7w1KHiSbRdhssBYXA41uqrsjBjABKCiCt9H/tspKl0ABAFhs8s8J4vX+9XTQ9uiOqMsv92ufBgqDAdqePd3SE26/HWUf/MenXgfROhVqjO5Bj8IqIzKSHEsu2qqqUf7hR0iYNdOndnWGGsDFm3ZlcnKzQQ8AuK3Pbfj48MeA2gBoYwCTe68Nj8pO4LhKi+/swMCE3oAkAYZkQOm4RItSRyFOG+d7eUREREHCngVtHKNgREStSwiB705/hy1nNsNelAMYK/wrQB3VUJLrhHidhzvGvgN4evTTst3Q6w9ko/Lzz31+0u4Lm11gV365W3qUTon+aZ5vStVpqc6fJbUa6owMxIwbB8nLjXRLmE6cQN2OnbCVX+w5YCk475avot6Mo+fdV2dQqyQMTU8ITmMUEqJ/Ng7RV453LIXowYc5H+J4xXHAbgMqTzsCBvbGQxDsjgkQfSEpgMQsINrRGyI9Jh239r4VBnWAKzkQEZEs3lPJY88CIiK6pAghUGWugl3YEaeNc96kW+wWVJvdnwgfLz+OH87+AFTk+x8oiO0MJGRAZbRAab7YM8CqVUFptEGyGzEufTzs5RVuI9vtdXWoWLbMz7/OuzMV8ksLRmnkLwkUej1SnngcklIpu701aLt3h7Z7d5c08+nTKH3n3y5pMTr5bvsWq4AQotmbe5/ZBWo2boQyNgaarCyP2SbEXY5/nzoIuwSY4zPgtrajuRYo2OdbncLuWEFDGweotThdfRrLji7DpO6TfG62TqljcIGIiALCYAEREV0yTlacxGcnPnMGBTQKDcZ1GYcqcxV2Fu6ETdg871xf6Xd9amUSuq/NQVSx+9NvCRKS9InoGvMjiqUtfpfdUpV18gMX1Er3ng3KuFjEz5oV0kCBJ5r0dMTeMAFVX3zpTFM2EwyoNdsQrQ3eZU7lqtVe89xkrMap6lOw2W04dk1PVHWJv7hRakFbSo4AaY7hKXlVeXhtz2t+7d4lugtm9p6JWA2fkhERkf84DKGNY5cZIroUWe1WlNSXoM5aB4PKt6enRqsR/zn0H88Z7HbAWu94qis3M33RIcDmuNFWGe1Qmzwv/Tde3QEZMemoPxINUS/f9VyjUEMhhf4mfM+pctQrNcj+2RSX9Lsvz0CXhIuvpaRSQREXF5yn80EkbDbYqqogKRQQFguWbM1HfmkdFHYbBn33qTNfz47RSDAEf4iE1/ZBwGwzQ0BAf+ctkLTahg3Y+d3vcdDmfT4Dm1qC2XDhvdGxv9sqCw4KQK1z78HQhF6lx1397vK5/Ym6RJQbyyFJEjroO3CVBiK6JPCeSh6DBW0c39hEdKnZeX4n1ua2YOWB5tQUObp9e6E025G1qwaxJe6T6jVIkjTIUEVDSukL6CJrYroakxX7S0zIufwG1Ca4rg7w52kDIi4w4Ivcklr86/uTAICkMyfQY+d3kISAWilhaNd4AJHzN1lri3GicDdqmuvBckFdrBLHR8bAom/mZl2hApJ6AoYgzc/QhE6pw9QeU9E7sXerlE9EFCl4TyWPwxCIiChiCSFQXF+M87XnISBQWl+KzWc3B7cSu80tUKA02xFdZoXS4hpP73qwDkqLgAoS0pV6QBMN6C8uG2hQaqFT6wFtrIenwYGLnzG9RfvZ7QKf7CxA0bBk2NWuT9wv757UJgMFAJASc3Gpx9Iu3VGZ3AkxpYXQ1VWhx5AuSE/1/0a6cs0aCKN/yyf6QhWVjF4ZV6GuIh9GuxlWhQoqhQISFEDlKWe+GrsVxVVmDPqmArlDoiAUQG2C6mJvgwZ2K1CcA6SPAhTB76VitBnxvyP/w+w+s5EVn8VeBkRElxgGC4iIKCIJIbDm5BrsLtrduhXVFLn8GlVmQc/tNW6BggY6KNBTGQ2NpHAscRef0brtu0DSapE4+3ZounVr0f45BVU4nyh/s6dTh39OgpYyaJRQKgDbhVEhVq0e5Z26AQDeqwH+Mmig32Wq09NR9p//wFbmvmpEoCSlGlFJPRDVdIPVDNQ5Vn9IVKodMSxhRubeWmeW/IEGlHTTuRd6bg/QeUSrdaL48PCHyIzNxK19boVGGfqhHUREFB4MFhARUcjlVebhy2NrIPYdREKFDcnaJLc8pfWlMNqMyAxGhXYrYKwC6i/c/GkMAC7cOJtdJx9MPGeGXlKgg8L9pkwjKRArqaBouCvTBqerYuyNNza7XRFlgCYzE8ro6BbX8cWBAo/bMju03VnzJUlC9+RoHC10n0QScEzoGGeQXzXBE1VCAjo88ADMubmwVXif2NJ46BDMeXl+1eEmMdMZLAAkdFPqkSw0qBM2NISt0g8K2EsAqJsGfazA/r0waaJw1Fh8Mdlucbz31QbHMp3aWK9zHHh2Av9b/Q06R3eW3ao3xKLboP9D2vD/a7O9VIiIyBWDBUREFBJ2YYfVZsXBwn1Yc2I1en9xGIYyxzJ+9Tjnlt9w4Z9/ZHoD2G0XbsIabzN7LCFWUqG7MupiQMCT6GRAF+9X6xR6PeyNJjxUREcj8a47oU5N9aucliiukf+buyUZkNWh5UGISHDjwDQcLTwmu23LiRLcMDDN7zIVWi10ffr4lNdw2QgU/+NV2Cr9XzHDSakFojoAtSUXEiRESSpENV1FodgOuC20CQA1AGqgtxtx2m5ssu3Ce05ZfGHYTMO54P9NfT3KPKQDZdt+RL/8XHS5ccaF+hRQqtRQtsIQCSIian2c4LCN42QcRBTpTDYTVh/9HLVff4P444VQmrxP7uY3mxndbAKweQ4CNOa4dZFgaxJc0EMBvaSEBAlIyAA8dbnWRAFqPQAJUZeP8X6zr1RB3aUzVAkJsJaXw3LmDBQ6HdRdu0Kh1Ta/bxBU1lvw1y8Oy25rqxMbNrV0xynsPS1/s/6Xm/0fitASppMnYTp2HKrEBEhq/3oz2OvqUPXlesBcC9SVOOa8kHv/lcgHRRozCztqYZUNKbhQ6YDYTsirL/aWs0WEQkJdx1jYbhiHm4beyiUciShi8Z5KHnsWEBFdAmxVVaj5fjOMB/ZDlZoGTXoXv8uoNlfjXM05mGz+Tfx2qCwHafsLIDPSuuWEDbCaALsdWkmBHjZAJykBKYjjqWPlu1s3kFRKxFx7LaLGjPGrWFVCAlQJrTN7vSeeAgVpcbp2ESgAgClDOnsMFlhtdqiUrT85nzYrC9qsrBbvr4iLQ+Vnn0No3GY0uKjqnCOg0AyNpIAGPpwLNjtQfgZx0ck4YSpFjc0MKNWeg2R+kuwCUQWVwOJV+GTgDvRN6uvzvgpJgSRdElKjUlv8HlUlJ0Pbty8UGs6zQETUEgwWEBG1ccJuh73m4nhtSa2GsFicv1tLSlD2/n+cv5tzc2HOzfWrjipzFY6Ve3+iKcf/DuAeCBuSdIlIURqA0uNQQIJKUkIppODf8Ka6PolOuu8+SI1vNiUJqqQkv58eh8OOPPlu4wAwprv7XBFtVXOTNC7bdQa3jewawta0jL5/f+j69oW1uASw21CxbDmsJSWumaJTgDL/zl9vVDXF6A3ALBSw2ixQRSeiSh+L/OozQJBWQEg9UIByeJ43Q04pgCJdPNJj0gE4AgiqpsMyvFBERyNp7j2QmgQMJKUSiqhmgjJERMRhCG0du8wQXbqEEKjZsBG1W7ZAmH3rft8SdmHDnqK9rVZ+Y1KUzCwF5lqojVVIkZRIk3TBnfG96RNUTRQQ3xUwdICkVECdno7Y66+HMi4uiJWGjt0u8Nzqg7DY5L/qn53Ur02vhNDUyj1nsD1XfgWDF6YOgFLRtnpRCIsF1d98A9OxY7A7l3IUQOVp1+EICvXFiQuFcExsGASldjMK7EYYIYDYLm6TI9qN9ZA8vLdai0FtQFZcFrTKwIfvKBMSED9taotXGCGi9oP3VPLYs4CIKAJYzp9H7datsDV9itgM86nTAAABgaK6IlSZq2AXwZ8PoMZLl+dgSIjqgOEPPgVd107A8a+BilOOiQmrCwBr08nagmTY3UDnYa1TdoQoqzN7DBSkxGjbVaAAAK7sneIxWPDJztNtondBY5JajdgbbgBuuMG/HXM3A9nLA66/I4B+jRMSMgGF0rFcaM9rUS8Bq5c8D8NP2QHX5as6Sx2yS7IR3dxQDR9J5QpE/TMb6d2HQKX1f6CUIi4OhmHDoO3ePeC2EBFFIvYsaOMYBSPyj7DbYTp6FJaCAsDudfqvkLCWlsKYfbBF+9ZZ65BTmhPkFrW+FEMKCrtGwxIXhX5JWejeORnqKJUjUBBMnYY5ZpgHHCsi1BQCyX0cQYLYTsGtKwK9+s0xnK+SD7Y8fVNfGDTt75nBkysOeNy24NpeSI5p/QklI0J5vqP3QUW+I/hmrAh+HT2uhVnYcDTvGCrL6gBVDCAA7Y6DOF97Pvj1taLUKMckpWqFGnHaOL96Lqg7d4a2RwQFDCQJquQU6Pr0bhNDpYgiAe+p5DFY0MbxjU3kIOx2WAsLYS31PD4bQqBi2bLQNcoPNmFDraUWNj96BpQZy1DRGjcArcigNqBb1wHodMVw6LokAMWHgYJ9wa9InwgMmA6kDgh+2W1Eea0Zf1t/RHbb+N7JuL5/6y/XGA5F1Ua88rX8/BpxejV+e4NvyyG2O2d2AXs+aN06EroBQ2bDZtXg/PL/4Vj2ZtQaq9AWLzWTDcmI0cR4zSdBgkFlgCZIk0IGW/zN0wCVe8BAodVAnZ4OhS6oU88StVm8p5LHYEEbxzc2tQZhs8FaVOQySV4kE2Yzyv+3tFXH7fvKLuyw2i2AJMFis0DA+0dsnaUOp6tPh6B1FxX3TsbpywLrkv3bkb/xPbMQkGpLoCrMhnTiq4DqdZPcFxhxj2MiNoUKEHZHV+lLXHNP2H91XS90iG6/T9ib+9t/e0MfxOkv4aetdjsAAUByrCoCAGd2Avv/F7w6YtKAQbMgNLGwa2L8CoIeKz+GT4+taHHV2hoTeq0/AnV9aL+/4nXx6Gjo6FNenUrn90SNrSXm2muhyWhjw3M0GqhSUiApWn+FE7p08J5KHoMFbRzf2BQstupqWIuKYC0sdKz1fQmwCzuMNiPUCjWEELAKa0Dl1VpqcarqVJBaFxyF/TrCYnDcGOkqjYAASnp1QG2K9ydmzfntyN9676ZrtwO1RY6l3nb/p/m8/ojPANIGO4IDsZ2BpB4ALxpd7D5VjmU7z8hukyTgz9MGym5rL86U12HRhhMetz8wrju6JslMpnkpqylyDFuwGoHT2xxDdoJBGwMMmwOodYAhCVDrve5SbixHbmUujBfmK/n6lH/Dk5QmK2LPVUFT677Ma+c9Z0M+KaOcWG0sOkc3vzyrPyRI0Cq1UARp9Yq2IPamidCkpzt/V8bFQWHgeU0tw3sqeQwWtHGR+MY2nzkb7iZEFElyTE7dHEWUAaK+HsIe+tNR1Neh7L9LQl5veAmcrj6DorqicDekWbUdfJ/AyxSrRVm3RMQWVMNQWgt9ShoqBmfAkhAdtPZIkNAxqiPGdh6LOG0zqwMIAZzcABz6PDgVx1946qWLA9JHuS1rSK72nCrHJx4CBUD7WwHBk+dWHYTJ6nlekucn94dGdencWPktfwuwf6njZ4UKsAcWTHWKSwdGzAUMiT7vYrFb8MOZH5BflR9wUBdCwLxzD+JPV0Bp9n9C2KjSWvjQYSxsUgwp6BLTBVJQl41pO5QJCYibOgWSOjKHhdBFyugoKOPjw90Mp0i8p4oEDBa0cZH4xi545tlwN4HaAavdijprXdDHuppsppB3+feHVadCYd+OOD8ozW2ZMl+k6FMws/dMdNB3aIXWeWCqAarOOlYvqDkfnCCBUgN0HAAMusXxRJJ8kn22Eh9u89y7ZVRmIqYODd7TzEhWY7LiT2ubn/zzLzcz8OQzc51jqELhoaAtzYhhdwFKLVBbDOjjHee8svWHiNRZ6rDqxCocrzju1xCJBoknStF5zxloasI/9M2T1KhURKuDFyxuoJAUiFIboJDaf8CRWlfU5WMQO2FCuJvhFIn3VJEgMgZMERFdYBVW5Fflh2TiPlOsFsev7gmzIXKeQNhVihYFCSRImN5zOvp36N8KrWqiuhAoOwHYLMCpnxzLGwbLkNmOIQYKNYcW+KnKaGk2UAAANw1KC1Frwi9aq8LAznE4cLbSY573f8zFnCsyQ9iqNkxjcPQIsNsvBgvKTgI7FwO2Ft4075aZcLHndUD3q1s1SGhQG3Brn1ths9ucwYKd53f6PNyhrHsSyronQWG1RVQvA6XFhqyNJxBdVNOqq1EoJAmZcVmI18a3Wh1EFBnYs6CNi8QoGHsWtE9WuwUl9aUori+G2WaGSqFEXJAvFEw2E2rMNQGXY1crcPzKHrCrPD/5sOpUMMVoW3Rj3tr6JvbFmE5jfM6vklRINiRDpWiF+G/xUaAw2zGOGXCMZQ42XRww/B5H92QlY9gt0dzKBw3uuaIbenUMbK6KtsZuF/jPT3k4Wuj5c+W6/h1xZe+UELaqnbHbgeIcYPu/gltuh16APsE9XRPtCCgmZAS3PgBmmxnF9cWwC+/L6hbUFOCLvC+C3oZgUNeaoamVD+B0OFqMDsdLglJPoi4RUgi/QxWSAjHqGCTo4oFLdJhFe8KeBW0DgwVtXCS+sRksCA+7sMFoMwV1cqMqUxWK64txYnwWjFb3iaIikSlGi/oEA6CInAuJsZ3HOtfwbo5SUiItOg2xmlY+l+12oL7csWqAS7oVOPoFUHnGMXlgbXHr1B/b2XGxr4kCErsDMakRGbRpKwqrjPjHN/JLBTa4qk8Kru3n20zt7Y0QAn9el4Mak+fu5tf164gr+zBgEBCbFag85fhskesx0BqikoFOQ4EuI13TlSpAF9/qnytmmxlnas44J2JsTqWpEl/lB3klmBZS1VsQVVILyeY9KBJJOpwoRdzpCgAIWi86BaQLy17yOyjUGCxoGxgsaOMi8Y3NYEFoCAhUmipRb63HuZpzrVKHxaDGoUn9Yb2ElhmL0cTgqvSrWry/yWZCQW0BEnWJSItKQ3pMOnSqMI25txiBY18BJ74FVHoga5xjibS64DxV8kvXyx2rFsR3BaKTQ19/O9XcqgcNZgzvguEZMk9oLyEWmx3PfH7Qa74Xpg6AMoICjW2WEEDlaceQJWs9kP1peNqROtARSOjYPyKWU7XYLThdfRpVpqqglVlaX4ofzv0QtPIinbrWjOiiGiguBDokux0ZW/IDLjdaE41EXSJiNDHQKTlPTigwWNA2MFjQxkXiG/uDT58JdxMiQtzR84g6U+aSVnh5T9h0jhtvyS6QuvmIW2S/+LIsWGKa/6ISwhEoCCZNnRl2lQIWnRqSXcAcrUFdUhSEsn2PG081pGJU2iiolWqkGlKRpE8Kd5P8U1fm+GesBA6vAerLvO8TSp2HAwNmOMY7U9AIIfDM5wdh9bKCytD0eMy6LL3ZPJeKKqMFf1l32Gu+S2W1iJCy2x29Drb9C7DUhqcNhg6uAQOryRG8zPyZY3nH6I5ttoeT2WbG5jObL6mggQshoC+vh66iPmhFxuvig1YWyeuRORyXD5sS7mY4ReI9VSRgsKCNi8Q39vM/PR/uJkQMhcUGQ2kdrDoVjHE62QsRda0Zusp6WHVq1MfrI6r7fKSYmDkRiTrfl9nyhUJSoGNUR+hV3tf8DhtjpWMG8tpi4NRW1/ePsANFh8LXNk8G3+YYZ6xQOYYbcCWDoKs32/CHNd6PfXqiHg+M6x7SMcWRrrjahIVfH/Wa7+f/l4luSQao2nmwNCzqK4CaIgACsNQDu94Ld4suSujmmBOhMWEHUgdd2BYF6CLjWkuOxW7B+ZrzsARrtYpGluQsgYik2RypzRudNhrXd7s+3M1wisR7qkjAYEEbF4lvbAYLLi1apbZV1nNWK9W4PuP60MzuH0r1FY6VBPSJrjf/lnrg7C7HrOLGSqA8L1wtbJ5KB8fYTgHEpAEDbgbUUY6ggCYq3K1r10prTPj7V95vdAFgQOdYzB4V/Ang2oND56rw362+dVu+lJaaDCub1TF56tEvHXOnNL00tVuDt1xjMCR2v/h5p08AOg1xzPPSQKltd3OxGK1GfJn3JU5WnoTFFtpjYbR5nxOC2h4GC9oGBgvauEh8YzNY0H6lx6TjTPUZdDR0xMDkgRiZOrJ1ZuBvS2xWx4194+7/xkrg6HrXi9vYLkBV82PLI1LHAY6L4IQMIHNcSNZAJ1dCCLy16SROldX5lP/K3sm4rr/3CTUvZWcr6vH6d8d9zv/MTf2g13BoQliZ64CTG4Gqs44VWtoCSQnEdWmSKAC7Deg29uKwCEOSo+dCBMyrEImEEHhxx4sw2drGRMvkGwYL2gYGC9q4SHxjM1gQGfon9UdGbHCeLCZoE9Atrlv7CgzUlgI1jdahFgI4v999hQBTNVB8GPIzJbeDj8++kxxPwRpTqh0XrjG84Qwni82O/2zJw4li38d4zx7VFQM6x7Viq9oPXyc9bIzzGUQIIYDSE47P8MaXsbXFQO6m8LUrKBq+a5p8v6gNjokaAaBgP2AzATGdgPSRQHSKI6gb18Ux/0I7da7mHApqC3xa2tKbanM1Np/dHIRWUUsxWNA2tOlgQX19Pf7yl7/gf//7H06dOoXExERMmDABf/zjH9G5s3/dBsvLy/Hcc8/hs88+w/nz55Gamopp06bhueeeQ3x8vOw+NpsN//znP7F48WIcP34c0dHRuPLKK/H888+jb9++HutavXo1/v73v2PPnj0AgGHDhuHxxx/HxIkT/WozEJlv7A9zPgx3Ey4pKkmFvkl90T2+OwwqA8x2M7RNb/7aKrsdMFbIdEm1ABWnHf/XlQHluY4LKU9KjwOWOsc4eru1VZsc0UbMBRKzHD+r9I7lxSjilNea8bf1R/ze709TB0DBOU/89vp3x3C2wr9uzrNHdUW/tFi+3pHKYnQEec/uApp2mS/OCU+bQkm6ENASF5YLTR0kn89mcczBkNDtYppK55j40dPwwnY25Mxis6DWUoufCn5CmTHCJghu5/ok9sHwjsPD3QynSLynigRtNlhgNBpx5ZVXYuvWrUhLS8PYsWORl5eH7du3Izk5GVu3bkVWVpZPZZWUlGDMmDE4fvw4srKyMGLECBw8eBAHDx5Er1698NNPPyEx0XVyNbvdjhkzZmDlypWIj4/H1VdfjZKSEnz//ffQ6/XYsGEDRo4c6VbXP/7xDzz22GNQqVS45pproNVq8dVXX6G+vh6vvfYa5s2b59frwDc2hYzN6njqbql1rKPtjbHScSPf0K3SbgWKcgBtLGSfyBdfuDlSai7sXxGMVrdPagOgbjQxo6kGSBsMpPRx9JiI6gAkZjrG0lKbcK6iHm9uPOF1dQM5WR2i8IuxmZzIMADfHCrEt4eLWrTvzBFdMDQ9nq9/W1JXBlSdAypOASe+c5+0UNh9+567lClUjkC+IQmI8/KAzmZxBBhiO7nu3/h3NxJgSHQEtgFHzwkGuKkV8Z5KXpsNFjz11FP405/+hDFjxuCrr75CdLRj9tqFCxfiV7/6FcaNG4eNGzf6VNYdd9yBDz/8EDfffDOWLl0KlcrxYfTwww/jtddew913343333/fZZ9///vfuPfee9GzZ09s3rwZHTt2BAB8+umnmDFjBnr06IGcnBxnWQBw5MgR9O/fHyqVChs2bMCYMWMAAEePHsXll1+OyspK5OTkoEePHj6/Dnxjt2NCAKYq16fqditgrnGMdwQcN+Q2M2CscnRJjEpxPEGvL3d0Ja8rA6xGR7fEhq6Jwg6U5Tq6a6p8mKneXOMog0JLUgC6eMdcCFnjgehUx81/Ug9eMLVxQgjkl9bhy4Pncb7SCJO1ZV1quyToccfoDMTpOY9EMBgtNhwvqsGH2061uIwEgxpX901Br44xiNaqGEBoy4QAyk46viurzgK53zsmpoVgICGc1FGuwfKmTNVAh56+DaOzmR3XTQqlY+lMTxQqxyoZjeeU0MYCCq6W0p7wnkpemwwWmM1mpKSkoLKyErt378bQoUNdtg8ePBj79+/Hzp07MXx4891bCgoK0KVLF6hUKpw6dcp50w8AJpMJ6enpKCsrw7lz55CSkuLc1q9fP+Tk5GDlypWYOnWqS5lTpkzBqlWrsHz5ckyfPt2Z/uCDD+LNN9/EI488gn/84x8u+7zyyitYsGAB5s2bh9dee83n1yIi39jf/qFl+4kLyyhZL6yTq9I5PpydF1sX/pekJj9f2OaWr+k+MvlqihxPyiUlZJ92N+3KJykvfEldaKuwO9qpVDt+t1sBhdqRx2Zx/C2S0rHGvLA32udCF/CGfWRfj8DH5FEEiUkDagpdj+uAGY73RmO6eCAhkxchbZTVZket2QajxQaz1Y5qoxVltWbUmCworTXjfKURJTXmgOvhkIPW9dyqgy0O4jTVNy0GneL0iDOokRSlgV6jhF6thEGjgkbF87zNspoc8yY0XLMAjqFzed/D9VrjgsqzkbWiAwVO8nT+So7rQJWPQ0JtFseDnmBc9ynUjqEiFuPF95uwO3ok6hMd17N2m+MhkLmm0T4XAjCWepn3qeS4VtHEOK5ZjZXyeRr+Zpv54vVuczLHAf2nBvgHB09E3lNFgDb5eOrHH39EZWUlunfv7hYoAIAZM2Zg//79WL16tddgwZdffgm73Y6xY8e6BAoAQKvVYtKkSVi8eDHWrVuHOXPmAAByc3ORk5MDvV4vO8/AjBkzsGrVKqxevdolWLB27Vrndrl9FixYgNWrV/sVLIhE1poS3zJ6C1PZ6gFTvZdMvhfXPE/j2G3uv1uaXOhbm04+ZgPMRtff3fap8diScK1j3PbChh4E8e8QLvMgOAJE1s6XyVwASBBKDWwd+kA07q2h0kEoNS7rdvsUn62zBP1dEOzj6/P7NOj1AnYhYBeO17Lh7xLC0aaGdABw9OgXF7Y58tjs4sL+jrx2ISAafrYL2ISAzS6c+ay2C//bHT87/rfDahcwWe0wWhyBAZPVDrPVHrQbTE8WXNsLyTHtZE6SCPbc5P4tmgBRTk5BNXIKqmW3aZQS1EoF1CoFtCoFDBcCCSqlAkqFBKUkQaWUoFJc+F0hQaWQoHDZJkGSAEmSoJAkKCRAceFGVSE5tikVjnTgQl448jv+B6SGdMk1vaGcxnkUAfaWCEeIq6VNbn5ZYAUQ09M9OWmI512EgFRf6riZAiBZ6qEoPQLJZr74IX2hSkXpMUiNJ+EFHDdjFt+vi3zVljrAtMZSzS3X9BqxEWs1APnzvnXZIJlleoPaagGjp8lym163yrBWAXVVnrdLAGx+/s12e9u8Eb3EtMljtG/fPgCOiQHlNKTv378/KGUtXrzYpayGfQYMGAC12r37p1z9FRUVOHXK0bVRLsCRnp6ODh06ID8/H1VVVW06orUrn93zKHyMymgIyEf7lcICpbDhlMExo7QEO8o0nVCvvHi+WRQaVKpTICQlIPcQ6GwzlZ+0wHWncFwoUHv03OR+0Ko4C38oqZUK/OXmgbDY7Hh70wm/J0H0hdkmYLbZAHMzNx3UznmaX0tmouwLzx00tjokmAsgJAkCSsRaihFjLXV+96WY8qCz1cCskO+ur7c1c9NHFCIqdSWGDwx3K8ibNhksaLjp7tKl6dq1cEnPz89vlbIC2SchIQFRUfKzyHbp0gUlJSXIz8/HwIE8e6h9E1DIXsho7PUwKQ0o0zgmPlIIGywKLco17hMh2SUlytWpsEtK1CtjYFXwiSu1H1OHdMJl3RI53CDM1EoF5l3leIJcVGXEsl1ncKY8+E93iXxlVhpQqO/u/L1Y5/8yyZKwIcpaCQmO3lBquwlxlkKPz+2Vwoq0+mOoV0ajk/EYbJIaNi+3EVq778u+ElFkapPBgpoaRxdug0F+qbSGm/Hqau9P9VpSVmvs42u7TSYTTCaT8/fKykoAjnE2kaLWGPh4XAodO1Qo03SCTWr+40Bnq0astRRF2m4AgBJtOuqV0c3uA0iwKHSoVV5c992mUMOi8GFiRV81jCCxNH2qT9S2dIrXYXCXeIzKSnKm1dSwd0ok0QG4c7hj/qKiKiN25Zdje15Z+xnGRZcUIzSNftOhQBHnMS8AZEf3c/ygv9rnOiRhh8ZW6wxCqO1GRNkq0dwYtRhrOZTCDAEFJAgkms7B0szDAKWwooO55ROTUngo6+oj6v6loS1tcDq/VtUmgwWXsr/85S94/vnn3dLT09PD0BoiIiIiIiJ/fQLgoXA3wk11dTXi4poPnF1K2mSwoGGZxLq6OtnttbWObk8xMTGtUlZr7ONru5988kksWLDA+bvdbkdZWRmSkpIibommqqoqpKen4/Tp0216Doa2jMcg/HgMwouvf/jxGIQfj0H48RiEH49B+EXyMRBCoLq6Gp06uQ97vZS1yWBB165dAQBnzpyR3d6QnpHhfQxXS8oKZJ/y8nLU1tbKzlvgS7u1Wi20WteuWPHx8R7zR4LY2NiI+0C41PAYhB+PQXjx9Q8/HoPw4zEIPx6D8OMxCL9IPQbsUeCuTS7wO3jwYADA7t27Zbc3pA8aNKhVymrYJzs7GxaL+xhpuX3i4+OdAYM9e/a47XP69GmUlJQgIyMjIk8eIiIiIiIiunS0yWDBFVdcgbi4OJw4cQJ79+512758+XIAwKRJk7yWNWHCBCgUCmzevBlFRUUu20wmE1avXg2lUokbb7zRmZ6ZmYm+ffuivr4ea9eu9bn+iRMnumxvaZuJiIiIiIiIWlObDBZoNBrMmzcPAPDQQw85x/oDwMKFC7F//36MGzcOw4cPd6a//vrr6NOnD5588kmXstLS0nDbbbfBbDbjwQcfhNVqdW574oknUFxcjDvuuAMpKSku+zXMG/DEE0+4BBlWrFiBVatWoUePHpgyZYrLPo888giUSiXeeustbN261Zl+7Ngx/OlPf4JKpcIjjzzS0pcl4mi1Wjz77LNuwyYodHgMwo/HILz4+ocfj0H48RiEH49B+PEYhB+PQdsjiTa6PoTRaMT48eOxbds2pKWlYezYscjPz8e2bduQnJyMrVu3Iisry5n/ueeew/PPP4+7774b77//vktZJSUlGD16NE6cOIHu3btjxIgROHjwILKzs9GzZ09s3boViYmJLvvY7XbMmDEDK1euREJCAq6++mqUlJRg06ZN0Ol02LBhA0aNGuXW7ldeeQULFiyASqXCtddeC41Gg6+++gr19fX45z//ifnz57fK60VERERERETkqzbZswCA84b86aefhsFgwGeffYb8/HzMmTMHu3fvdgkUeNOhQwds374d8+fPh9lsxsqVK1FZWYmHH34Y27dvdwsUAIBCocCyZcvw8ssvo1OnTlizZg0OHDiA6dOnY+fOnbKBAgB47LHHsGrVKowZMwabN2/Gt99+ixEjRmD16tUMFBAREREREVFEaLM9C4iIiIiIiIiodbTZngVERERERERE1DoYLCA3P/74I2688UYkJiYiOjoaI0eOxAcffOB3OSUlJXj33Xdx3333YciQIVCpVJAkyW3OCDkHDx7EzJkzkZycDL1ej4EDB+If//gH7Ha7x33Ky8vxyCOPICMjA1qtFhkZGXj00UdRUVHhd9vDLVjHoMHq1asxbtw457q248ePl13JAwDmzJkDSZK8/jt16pTLft26dWs2/+HDh1vc/nAI5zHIy8tr9rVMTU31WA/PA8/8OQb5+fl47bXXMGHCBKSmpkKtVqNDhw6YMGECVq1a5bGOtnYe1NfX45lnnkGvXr2g0+nQqVMnzJ07F2fPnvW7rJa892w2G1555RUMHDgQer0eycnJmDVrFnJycpqty59jGenCdQwsFgu++uorzJs3DwMGDIDBYIBer0ffvn3x61//GsXFxbJ1vP/++82+x2+99Va/2x1u4TwPvH3nvvXWWx7rai/nQbhef2/ftQ3/5s6d67IfzwHPNm3ahOeffx4TJ05EcnIyJElCt27dvO7H74IIJogaWb58uVAqlUKSJDFu3Dgxffp0ER8fLwCIX/3qV36VtXLlSgHA7d97773X7H5btmwRer1eABAjR44Us2bNEqmpqQKAmDlzprDb7W77FBcXix49eggAIisrS8yaNUv0799fABC9evUSpaWlfrU9nIJ5DIQQ4pVXXhEAhEqlEhMmTBBTpkxxvr6vvfaaW/533nlH3H333bL/Ro8eLQCIjIwMt+OQkZEhAHjc99y5cy1+TUIt3McgNzdXABAdO3aUfS0ffvhh2Xp4Hnjm7zG44oorBACh1WrFuHHjxC233CIuu+wy5+fYY489JltPWzoP6uvrned0WlqamDVrlhg5cqQAIJKTk8WJEyd8Lqsl7z2bzSamTZsmAIj4+Hgxffp0MW7cOCFJkjAYDGLbtm2ydfl7LCNZOI/B119/7Xw/d+vWTdx8881i0qRJokOHDgKASE1NFYcPH3ar57333hMAxODBg2Xf42+88UbAr0sohfs8uPvuuwUAcf3118u+nt99951sXe3lPAjn619cXOzxs/ruu+8WOp1OABCLFy922Y/ngGeDBw92u+7PyMhodh9+F0Q2BgvIqbS0VMTGxgoA4tNPP3Wmnz9/3vnhu2HDBp/L27Jli3jwwQfF4sWLxYEDB8S9997rNVhgNptFZmamACAWLlzoTK+urhZjxozxuP/s2bMFAHHzzTcLi8XiTJ8/f77zwr0tCPYxOHz4sFAqlUKr1YotW7Y4048cOSKSkpKESqUSx44d87m8WbNmCQDi97//vdu2hpukti4SjkFDsGDcuHF+tZ3ngbyWHINbbrlFvPbaa6Kqqsolfc2aNUKlUgkAYv369W51taXz4Pe//70AIMaMGSOqq6ud6S+//LLf77+WvPfeeecdAUD07NlTnD9/3pm+fPlyAUD06NHDpSwhgv+ZFm7hPAbffvutmDVrltuFeEVFhbj++uud7Wqq4Ubp2Wef9bltkSzc50FDsCCc3+3hFO7X35NDhw4JAEKv14vKykqXbTwHPHv88cfFCy+8INavXy8OHjzoU7CA3wWRrW1c0VBIvPjiiwKAmDJlitu2FStWCADipptuanH5999/v9dgwdKlS53R2qZ27dolAIgBAwa4pJ87d04orrCVzAAAL5tJREFUFAqh0WhcPmSEEMJoNIrk5GShVCpFYWFhi9seKsE+Bg888IAAIB555BG3bQsXLhQAxLx583wqq7Ky0hmxlXva1JZukpoTCcegJcECngeeBfM8EEKI++67TwAQc+bMcdvWVs4Dk8kk4uLiBACxe/dut+2DBg0SAMTOnTu9ltXS917fvn0FALFy5Uq3MidPniwAiOXLl7ukB/tYhlMkHANPzp4963wqmJeX57KtPd0oRcIxaEmwoL2cB5Hw+nvyu9/9TgAQt956q9s2ngO+KSgo8ClYcKl/F0Q6zllATg1jfGbMmOG2beLEidDpdPjmm29gNBrD0oZhw4YhKysL2dnZyMvLc6Z/+eWXsNvtGDt2LDp27Oiyj1arxaRJk2Cz2bBu3bpWa3ewBPsYNFdeQ9rq1at9KuvTTz9FfX09LrvsMvTu3dunfdqiSD4GzeF50LLyWnIMBg8eDAA4d+6cz/tEmh9//BGVlZXo3r07hg4d6rbdn9elJe+93Nxc5OTkQK/XY+LEiT7XH6rzKRTCfQya06lTJyQnJwNo2+9zbyL5GDSnvZwHkfr6CyHw0UcfAQDuvPNOX/6UNiuYx6Al+F0Q+RgsIKd9+/YBcNyUN6XRaDBgwAAYjUYcPXo0LG1onL5///6A9olUwTwGFRUVzkkI5b4A0tPT0aFDB+Tn56OqqspreUuWLAEA3HHHHc3me+mll/DLX/4SjzzyCP71r395nCQrUkXSMSgsLMSzzz6L++67D48//jiWL18Os9nsd7sbp/M8cOXveQAAJ0+eBIBmJ5qM9PMgmO+XQD63BwwYALVa7dM+rXEswyncx6A5FRUVKC8vB+D5fb5r1y48/vjjuP/++/Hss89i06ZNPpUdSSLpGKxYsQLz58/Hgw8+iJdeesnjZKjt6TyIpNe/sR9++AF5eXlISUnBdddd5zEfz4Hg1X8pfxdEOlW4G0CRoaqqCpWVlQCALl26yObp0qULdu7cifz8fAwaNKhV2tFw8jfXBsAxU3kg+0SiYB+DhtclISEBUVFRHssrKSlBfn4+Bg4c6LGss2fPYuPGjVCpVF5n+X3iiSdcfn/sscfw2muvuc0mHIki7RgcPnwYf/jDH1zSunbtimXLlmHkyJGydfE8cBXM8wBwXKQ0rMgwZcoUj/ki/TwI5vslVJ/bwT6W4RbuY9CcRYsWwWq1YuDAgcjMzJTNs2bNGqxZs8b5+x/+8AeMGzcOS5cudXuyG6ki6Ri89tprLr//5je/wQMPPIBXX30VKtXFy/X2dB5E0uvfWMPDkVtvvdXltW+K50B46m9P50BbwJ4FBACoqalx/mwwGGTzNJyQ1dXVrd4Of9rQkn0iUbCPgbfXxZ/yPvzwQ9jtdlx//fVISUmRzTN58mSsWLEC+fn5qKurQ3Z2NhYsWACTyYRf/OIX+Pzzz722Odwi5RhotVo88MAD2LhxIwoLC1FVVYWffvoJN954I06dOoXrr7/e7Yub50Hz5QXjPACAX/7ylyguLsbo0aMxbdo0t+1t5TwI5vslVJ/bwT6W4RbuY+DJnj178MILLwAAXnzxRbftaWlpeO6557Bnzx5UVlbi/PnzWLVqFfr06YNNmzbhpptugs1m81pPJIiEYzB06FC89dZbOHr0KOrq6nDy5EksWrQI8fHxeOONN/D444/7VY+/7Q6nSHj9mzKZTFi2bBkAz0MQeA6Et/72dA60BexZ0I5MmzbN63qkTX3wwQduTyip5drrMWiIsjc3du+f//yny+/9+/fHyy+/jD59+uC+++7Db37zm2afxAZLezgGaWlpeOONN1zSRo8ejbVr12L27Nn46KOP8Oc//xlvv/12mFrYvPZwDOS8+OKLWLp0KRITE/Hhhx9CkiS3PJFyHhC1RGFhIW6++WYYjUY8+uijuOGGG9zyXH/99bj++uudv8fGxmLSpEm48sorMXz4cOzcuROffPIJbrvttlA2vc165JFHXH7PzMzEgw8+iHHjxmHYsGF4/fXXsWDBAqSnp4ephZeWtWvXory8HH369MGIESNk8/AcoEsJgwXtSG5uLo4cOeLXPnV1dQCA6Ohol7TY2Fi3vLW1tQCAmJiYAFrZvOjoaJSXlzvb5UsbGtruzz6tJZKOgbfXxdfy9u/fjwMHDiA2NhaTJ0/2Wm9TP//5z/HUU0/hyJEjyMvLQ7du3fwuwx/t8Rg09rvf/Q4fffQR1q9f71ddPA8COwZLlizBk08+iaioKKxduxZZWVle624s1OeBN8F8v7SkrNbYx992h1u4j0FT1dXVuPHGG5GXl4eZM2fi5Zdf9lpv0zY8/PDDmDdvHtavX98mbpQi7Rg01r9/f0yePBnLly/Ht99+izlz5vhUT0vqCpdIfP19eTjSXBsu5XMgVPW3p3OgLeAwhHZk7969EI7lMH3+N378eACOqGhcXBwA4MyZM7LlN6RnZGS02t/QtWtXv9vQkn1aSyQdg4bXpby83Pmh2ZLyGr44p0+fDr1e77XephQKBbp37w4AKCgo8Ht/f7XHY9BYz549Abi/ljwP5AXjGKxZswb33HMP1Go1VqxYgdGjR3utt6lQnwfeBPP9EqrP7dY4n8Ip3MegMaPRiMmTJ2P37t247rrrsGTJEigU/l8ievp8ilSRdAzkyL2e7ek8iLTXv6KiAuvWrYMkSZg9e7bXOuVcyudAqOpvT+dAW8BgATk1LAe2e/dut20WiwXZ2dnQ6XTo1atXWNrQOL3xpGYt2SdSBfMYxMfHOz9Q9+zZ47b99OnTKCkpQUZGhuzTWwCw2+34+OOPAQS2fFDDrNqeJqKJJJF2DJry9FryPJAX6DHYtGkTZs6c6VxKq7mZsb2JpPMgmO+XQD63s7OzYbFYfNqnNc6ncAr3MWhgtVpxyy23YOPGjbj88suxYsUKaDQa73+AjEh6j/siUo6BJ3KvZ3s6DyLt9f/kk09gMpkwduzYFt9kXsrnQCD1X8rfBRFPEF3w4osvCgBiypQpbttWrFghAIibbrqpxeXff//9AoB47733POZZunSpACAGDx7stm337t0CgBgwYIBL+rlz54RCoRAajUYUFha6bDMajSI5OVkolUq3bZEo2MfggQceEADEI4884rZt4cKFAoCYN2+ex/2//fZbAUCkp6cLu93uc72NZWdnC0mShMFgECaTqUVlhFKkHYOmFi1aJACIq6++2iWd54FnLT0Gu3btErGxsUKSpGY/t3wRaeeByWQScXFxAoDYs2eP2/ZBgwYJAGLnzp1ey2rpe69v374CgFi5cqVbmZMnTxYAxPLly13Sg30+hVMkHAO73S7uuOMOAUAMGTJElJeXB/IniZkzZwoA4o9//GNA5YRKJBwDT4xGo0hPTxcAxObNm122tZfzINJe/7FjxwoA4p133vH7b2lwKZ8DTRUUFAgAIiMjo9l8l/p3QaRjsICcSktLRWxsrAAgPv30U2d6YWGh6NGjhwAgNmzY4LZf7969Re/evcWZM2eaLd+XYIHZbBaZmZkCgFi4cKEzvaamRowZM8bj/rNnzxYAxPTp04XFYnGmP/zwwwKAuPvuu5ttW6QI9jE4fPiwUCqVQqvVip9++smZfvToUZGUlCRUKpU4duyYx/bcc889AoD47W9/22y7165dK7799lu39H379jm/BB5++OFmy4gUkXAM/vWvf4mcnBy3Oj799FMRExMjAIgVK1a4bed5ELxjcPjwYZGcnCwAiH/+858+tbutnQe///3vBQBx+eWXi5qaGmf6yy+/LACIcePGueR/7bXXRO/evWU/D1ry3nvnnXcEANGzZ0+XC/hPP/1UABA9evRwKUuIwD/TIk24j0HDtj59+oiioiKf2vznP/9ZFBcXu6SZzWbx3HPPCQBCr9d7vR6IJOE8Bjk5OeKDDz4QRqPRJb2oqEhMnTrV+fCkabC+PZ0H4T4HGuTl5QlJkoROpxMVFRXNtpnngOdj0JivwQJ+F0Q2BgvIxfLly4VCoRCSJIkrr7xSzJgxQ8THxwsAYsGCBbL7ABAARG5urtu2UaNGOf+lpKQIACIrK8uZ9sADD7jt8+OPPwq9Xi8AiFGjRolZs2aJtLQ0AUDMmDFD9gl3cXGx6N69uwAgunfvLm655RYxYMAA54dPaWlpwK9NqAT7GDREWFUqlbjhhhvElClTnK9vczdB9fX1zhu2gwcPNtvmZ5991vmFMHnyZHHrrbeKkSNHCpVKJQCI8ePHi7q6Or9eh3AK9zEYN26cACAGDRokZsyYIW6++WbRp08fZx2PP/64bBt4HgTvGAwZMkQAEMnJyeLuu++W/feXv/zFZZ+2dh7U19eLUaNGCQAiLS1NzJo1y/l7cnKyOHHihEv+hr9P7oK7Je89m80mpk2bJgCIhIQEMWPGDDF+/HghSZLQ6/Vi69atsu1u6WdaJArnMfjss8+c58y1117r8X3eNHAJQGi1WnHFFVeIW2+9Vdx4442iU6dOAoDQ6XQuAb62IJzHYMOGDc73/7XXXituv/12MX78eGdQuEuXLuLIkSOy7W4v50G4P4ca/OlPfxIAxMyZM722meeA52PwzjvvOK/xhw0bJgAIjUbjcj+wa9cul334XRDZGCwgNz/88IOYMGGCiI+PFwaDQYwYMUK8//77HvM3d4HesM3Tv6bRygbZ2dli+vTpIikpSeh0OtG/f3+xcOFCYbPZPLajtLRUzJ8/X6SnpwuNRiPS09PFww8/HHC3ynAI5jEQQohVq1aJsWPHiujoaBEdHS3Gjh0rVq9e3WwbGoaEDB061Gt7t2zZIubOnSsGDhzojOgmJiaK8ePHi3feeUdYrVavZUSacB6DJUuWiBkzZogePXqI2NhYoVarRadOncTNN98svv7662bbzfMgOMcgIyPD78+vtnge1NXViaefflp0795daDQakZqaKubMmSNOnz7tlre5C0QhWvbes1qt4uWXXxb9+/cXOp1OJCUliRkzZngNULbkMy1ShesYvPfee17f44B7L55nnnlGXHvttaJr165Cr9cLnU4nevToIe6//35x+PDhILwioReuY3D27Fnx6KOPitGjR4vU1FShVqtFdHS0GDZsmHj22WdFWVlZs+1uL+dBuD+HhBCiX79+AoD4/PPPvbaX54DnY9CwzZ/PFCH4XRDJJCGEABERERERERHRBVwNgYiIiIiIiIhcMFhARERERERERC4YLCAiIiIiIiIiFwwWEBEREREREZELBguIiIiIiIiIyAWDBURERERERETkgsECIiIiIiIiInLBYAERERERERERuWCwgIiIiIiIiIhcMFhAROSjvLw8SJIESZLw/vvvh7s57cLGjRudr+nGjRtbta45c+ZAkiR069ZNdntDO5577rlWbQcFV319PZ5//nkMHjwYUVFRzuP46KOPhrtpFCSlpaVITEyEJEnYsWNHuJtDMurq6pCSkhKSz3IiCh0GC4goJBrfFPp6M9ZwcydJEvLy8lq1fUTU9lgsFlxzzTV47rnnsH//ftTV1YW7SRGvoqICb731FmbOnImePXsiISEBarUaSUlJGDhwIO6880689957qKiocNmv4bM4kH8t/Rx/5plnUF5ejhtvvBGXXXZZ4C8CBZ3BYMCCBQsAAI8++iiEEGFuEREFA4MFRETkxN4TwTd+/HhIkoTx48eHuyntzrJly7BlyxYAjuDihg0bcODAARw4cAC//e1vw9y6yGK32/Hiiy8iMzMTDzzwAJYvX47jx4+joqICVqsVZWVlyM7OxpIlSzB37lykpqZi/vz5KCkpCWu78/Pz8c477wBwBA3aA2+9nNqqhx56CImJidi3bx+WLVsW7uYQURCowt0AIqK2olu3bnxa0o7x2LY933zzDQAgNTUV//73v6FUKsPcoshUX1+P2267DZ9//jkAQK1W4+abb8a1116LrKwsxMfHo7y8HPn5+fj222+xZs0aVFZW4vXXX8cVV1yBW2+9FQcOHPBY/vXXX49z586hU6dOWL9+vcd8nTt39rvtL774IiwWC6644gqMGjXK7/0pdGJiYnDffffhr3/9K1544QXMmjUr3E0iogAxWEBERERt0tmzZwEAWVlZDBQ04/7773cGCkaPHo2PPvoImZmZsnnvueceVFVV4fXXX8cLL7zgTB8wYIDH8tVqtfP/5vL5q6KiAh988AEA4I477ghaudR6br/9dvz1r3/FgQMHsHHjRvaoImrjOAyBiIiI2iSTyQTg4s0quVu+fDn++9//AgCGDx+O7777zmOgoEFsbCx+97vfYffu3ejRo0cominrf//7H2pra6FWqzFz5sywtYN8N3DgQAwcOBAA8O6774a5NUQUKAYLiKjNq6mpwV//+leMGTMGiYmJ0Gq16NKlC2bMmIE1a9Y0u2/T8eTHjh3DvHnz0LNnTxgMBpdJuZobz//+++/7NdGXp0kei4uL8dRTT2Ho0KGIj4+HTqdDt27dcOedd+KHH35o9m/p1q0bJEnCnDlzAABHjhzBvffei27dukGr1aJjx46YNm0atm7dKru/JEkuNxH33HOP13afPHkSL7/8MiZNmoRu3bpBr9dDr9cjIyMDt9xyC7788stm2xxMOTk5mDNnDtLT06HT6ZCeno7bb7/d59nTvR2biooK/OlPf8KYMWOck8IlJyejX79+mDZtGt58800UFhY68zeMS960aRMAYNOmTW6vZ9Mxy7W1tVi6dCl+8YtfYMiQIYiLi3PWM27cOPz9739HTU2NX3/Hjh07cNttt6FLly7QarXo3Lkz7rzzTuTk5Pj0umRnZ2P+/PkYOHCg8+9OTU3FNddcg7/97W8oKCjwuO/58+fx+9//HiNGjHCem+np6Zg1a5ZzCIG/Gp+Hnl7bxq/rc88950wHgMrKSvzxj390nmNy53MwP1OOHz+OX/7yl8jKyoJer0e3bt3w85//HPn5+S77ZWdn45577kFWVpbz/fvAAw+gqKioRa9Tgz//+c8AHO+L9957D3q93ud9+/TpgxEjRgRUfyA++eQTAI7XNCkpyWO+pp99u3fvxuzZs5Geng69Xo8ePXpgwYIFbvMvbNmyBTNnzkTXrl2h0+nQvXt3/OY3v0F1dbXXttlsNvznP//BTTfdhE6dOkGr1SIpKQn/93//h4ULF6K+vt5tn4b34n/+8x8AjvkY5L4f5BiNRrz++uu4+uqrkZqaCo1Gg5SUFFxzzTV49913YbVafX59du3ahTlz5iAzMxNardatTn8/65qaPn06AOCzzz6D0Whs9nUkoggniIhCYMOGDQKAACCeffZZn/a5++67nfvk5ubK5tm9e7fo1KmTM5/cv5tvvlnU19fL7j9u3DgBQIwbN0589tlnIioqym3/hrpzc3Odae+9955LOe+9916zbWj6T+41WL9+vYiNjW12v4ceekjYbDbZvyUjI0MAEHfffbdYsWKFMBgMsmUolUrxv//9z21/f9t98uRJn/a54447hMVikW1z4/fFhg0bZPP4YunSpUKr1crWr1KpxL///W/n+ykjI0O2jOaOzaFDh7y+zwCI1157zblP4/evp39N29LwfmzuX2ZmpsjJyfH4WjT+OxYtWiRUKpVsOQaDQWzatMljOVarVTz22GNCkqRm23P33XfL7r9kyRLZ86nxv5///Oce3xueND4PfXldn332WWf60aNHRbdu3dzyNz6fg/mZ8vXXX4uYmBjZMlJSUpzH8aOPPhIajcbj33L27Fm/XqMG+/btc5Zz1VVXtagMXzR89ng6t1rCaDQ6z+mnn37ap/rvvvtu8cEHH3h8LXv16iUKCgqEEEK89NJLHt/bw4YNE9XV1R7ry8/PF4MHD272PdKjRw9x5MgRl/0avxeb+9fU3r17nX+jp3+XXXaZOH/+vNfX580335T9TGjQks+6pr788ktnvq+++qrZY0dEkY1zFhBRm3X27FlcffXVKC8vdz41ufXWW5GUlIRDhw7h5Zdfxr59+7BixQrMmTMH//vf/zyWderUKdxxxx0wGAx4+umnMXbsWCiVSuzYsQPR0dFe2zJ16lSvT+Aef/xx55P2jIwMl2179+7FpEmTYDaboVarMW/ePEyePBlRUVHYs2cP/vrXvyI3NxeLFi1CVFQUXnzxRY/1HDhwAEuXLkVaWhp+9atfYcSIERBCYP369fjrX/8Ko9GI++67D1dddRWSk5Nd9jt37hyuv/56AMALL7yAKVOmuJSdkpLi/Nlms0Gj0eD666/Htddei379+iExMRFlZWU4evQoFi1ahIMHD2LJkiXIysrC888/7/V1bIkdO3Zg9uzZsFqt0Gq1eOyxx3DjjTdCq9Vi27Zt+POf/4wHHngA/fr1a3Edd955J86dOwe1Wo17770XN9xwA1JTU2G323HmzBls3boVK1eudNnnT3/6E37961/jnnvuwc6dOzFixAi89957Lnk0Go3L71arFQMHDsTkyZMxYsQIdOrUCUII5OfnY+XKlfjkk0+Qm5uLqVOnYu/evdDpdB7bvH79emzfvh0DBw7EI488goEDB6K+vh4rV67Eq6++irq6Otx55504duyYWzsA4L777sPixYsBAGlpaZg3bx4uv/xyxMXFobi4GNu3b8fy5ctl6/7kk09w5513QgiBrKwszJs3D/369UNycjLy8vLw7rvvYt26dXj33XcRGxuLhQsX+nQcAMckeQ2T7Xl6beX+HgCYMWMGzp49i/nz52Py5MlISEjAsWPHnOdjMD9Tzp07h1mzZiE+Ph5//vOfMXLkSJjNZnz66ad49dVXUVRUhF/84hd45ZVXcNddd6Fnz5741a9+hUGDBqG2thaLFy/Gf//7X+Tn52PBggXN1uVJQ88LAJgwYYLf+4fTjh07nMNMfF0ucd++ffj444/Ro0cP/PrXv8bAgQNRXV2NxYsXY8mSJTh69Ch+/etf4+abb8bjjz+O0aNHY/78+ejduzdKSkrwz3/+E+vWrcPu3bvxwgsv4K9//atbHaWlpfi///s/nD59GlqtFvfeey/GjRuHbt26oaamBl999RVeffVVHD9+HDfccAN2796NuLg4AMCDDz6IGTNm4KmnnsLnn3/udUJIwNEzZdy4caisrERsbCweeughjBw5Eunp6SgtLcWqVavw9ttvY8eOHZgyZQo2b97scVjOjh07sGTJEqSnp+PXv/41RowYAavVis2bNzvztOSzrqmRI0c6f960aROuvfbaZvMTUQQLc7CCiC4RjZ8gP/DAA+LAgQNe/02ZMsW5j1zPghkzZji3//vf/3bbbjQaxZVXXunMs27dOrc8jZ/kdurUSeTn53v8G5rrWeDN66+/7tx39uzZbtsvu+wyATie+q9fv95te1lZmejXr58AIBQKhcjOznbL0/jJ0/Dhw0VlZaVbniVLljjzLFy4MKC/saamRpw7d87jdrvdLubMmSMAiKioKFFRUeGWJxg9C0aMGCEACLVaLfuk/MyZM6JLly6yT50ba9jetGfBiRMnfHqaZrfbRVlZmVt64yfN3hw9erTZ7V9//bVQKBQe3/ON/w4A4sYbbxQmk8ktzwsvvODMs2LFCrftn3/+uXP7mDFjRHl5ucc2nTp1yuX34uJiERcXJwCIuXPneuw58Lvf/c75fj58+HAzf7Vnvry2jZ/mKhQK2fOrQbA/U3r27CmKiorc8vz617925klOThaXX365qK2tdcs3c+ZMATh6x8iV480vfvELZz3ffPON3/v7qjV6Frz44ovOtp8+fdqn+gF4fC0bjq1SqRSJiYli+vTpwmq1uuSxWq1i9OjRAoBISkqSfe/efvvtzr/15MmTsu3ZvXu3s1fN7373O7ft3no5NXb55ZcLAGLo0KGiuLhYNs8XX3zh/Fz417/+5ba98eszcOBAj+dzoJ91jWVmZgoAYsKECc3mI6LIxmABEYVE45vClvxrGiw4e/asUCqVXi9GcnNznV0ub7zxRrftjS/sP/jgg2b/hpYGC7755htnG0aOHOnWfXnbtm3Ocn/5y196LOeHH35w5nvwwQfdtje+INy3b59sGXa73dnFdNq0aUH7Gz0pLS11Hqfly5e7bQ80WLB9+3bn/vPmzfOYb+nSpS0OFvz4449eX9fm+BMs8MXUqVMFAHHTTTfJbm9oq06nE4WFhbJ5qqqqnF21H3vsMbftY8aMEYBjqIK/XeD/8Ic/CACic+fOwmg0esxnsVhE586dPd5Q+cLfYMHcuXM95muNz5QvvvhCtozGQ3gkSRKHDh2Szffdd985833++ece2+RJw3vF23u3qqrKY9C2aVd6Oa0RLJg/f76z7XIBL7n6fX0tDQaDKC0tlc23ePFij69Zbm6u8z2yevXqZtv0xBNPCMARhG7K12DB999/72zL/v37m807a9YsZ7CkqcbfDd9//73HMgL9rGts1KhRAnAM/SCitosTHBJRm7Rx40bYbDYAwM9//nOP+bp16+bsAtl4n6Y0Gk2rzLZ97NgxzJw5E1arFZ07d8Znn33m1nW88URvzf0tV1xxBfr27eu2T1MDBw7EoEGDZLdJkoShQ4cCcExOGEwWiwVnzpxBTk4OsrOzkZ2djXPnzjknJtu3b19Q6wNcX4d77rnHY75p06YhPj6+RXWkpaU5f246EV5rKy4uxrFjx5yvZ3Z2tnPoiLfX89prr3UZNtJYTEwMevbsCcD9fVBaWuqcBPOWW25Bp06d/GrzqlWrAAA33XQTtFqtx3wqlQpjxowBAPz0009+1dFSs2fP9rgt2J8p8fHxziE9TWVmZiImJgYAMGjQIOd53dTgwYOdP7fkfG08UV9UVJTHfN9++61zFvum/6677jq/6w2G4uJiAIDBYPA4rKQpX1/La6+9FomJiV7zNX3N165dC5vNBoPBgBtuuKHZtvzsZz8D4BiOcurUKZ/a31TDudS7d2/nCgPe6tuxY4fHyQ7T09MxduxYj2UE87Ou4fU9f/58QOUQUXgxWEBEIffss89COHo2Nfvv7rvv9lhGdna28+dRo0Y1W1/D9rq6Oo8X3D179mx2/HdLVFRUYNKkSSgvL4der8fnn3/ucjHWoOFv0Wg0GDJkSLNlNvwtx44dg9lsls3Tp0+fZstouIjzZcZvbywWCxYtWoTRo0cjOjoa6enp6Nevn8vNRsNs7k1nIg+GhrHrGo3G5SK/KbVa7QyS+CszM9N5gf3KK6+gf//+eOaZZ/Ddd9+hrq6uRWU258cff8Qtt9yCpKQkpKSkoFevXi6v5zvvvAPA++vZ0vfB3r17IYQAgGZvLOTYbDbs3bsXAPD22297XRWkYc6DUN1QeAqiAa3zmeJpZnsAzuBVr169vOYBWna+NgQkAMdKG21JWVkZACAhIcHnfXx9LVv6mu/cuROA47irVKpm39s33XSTc7+Wvr8b6jty5IjXc2nevHkAHJ/JDa9dU829/4HgftY1HLe29r4jIlcMFhBRm9T4YsjT09MGqampsvs15s8FqS9sNhtuueUW50Xe+++/j+HDh8vmbWhTYmIiVKrm551t+FuEECgvL5fNYzAYmi1DoVA42xiIsrIyjBkzBvPmzcO2bds8Bi8ayC0lFqjGr51SqWw2b8eOHVtcz8cff+x8Cn7o0CH88Y9/xNVXX434+Hj87Gc/w1tvvfX/7d19UFTVGwfwLyoLCkmCCYEsSUojMiKmiISDpjKTtZqEMEao2IsxyRBBU5n5MjW9jAyZOlg6SUyGyWSFiKG1EEKIhkI5EqaAkhOJrEq+jSxwf38w97aru3eXfYHlN9/PDDMr3HP3uWfvPe4995zn2GSJsA0bNiAqKgoFBQVGz1WRqfq09DzQ7YQw1Lkl58qVK7JLuBljj04XQ+Suc1u3KebWv9x24jaAZder7nKD4pN6Q55++ul7OmvvTsLa38TO2760G+bWpaV1bukylpae37Z+P3P+n7NVWyd+bsaSLRLR4MDVEIho0JN7emcuUzeafZWeno7Dhw8DAN555x3Ex8ebLGOL4+hPaWlpOHHiBIDem42VK1di8uTJGDNmDFxdXaXjUSqV+Ouvv6Sn1fZg77rz8/NDVVUV1Go1vv32W5SXl6O+vh5arRYVFRWoqKhAVlYWDh48KPvUUo5arZZWjAgMDERmZiaioqKgVCrh5uYmdSStW7cO7777rs2OzZZ0b65eeOEFpKWlmVXO3GHm1jL3Oh9s16IxuqNtamtrMXfu3AGMpm/E6TbXrl2DIAgO8ZmI5/fo0aNRVlZmdrlx48ZZ9X6hoaHYvXu32eX8/PwM/t6c899WbZ3YiWbp9C8icgzsLCCiQUl3vumlS5fg7+9vdFvdIaDG5qna0o4dO7B161YAvUu1bdiwQXZ7MSaNRoOuri7Z0QXisTg5Odl8NERf/Pvvv9i7dy+A3nngcl9kjY2AsAWxDjQaDbq7u2W/DF+6dMnq95s7d650w6XRaPDTTz9hx44dKC0tRWNjIxISElBbW2vRvsXpBaNGjUJ1dbXespa6TI04sNbo0aOl162trX0qq3t9CYKAkJAQm8Vlb47cplgqOjpael1SUoLMzMwBjKZvxPO/p6cHHR0dDnHTKY7UuH79OiZOnGjzTmZj73fjxo1+v5asbevEdl+pVPZLvERkH5yGQESDku4Xp2PHjslue/z4cQC9Q08DAwPtGtfPP/8szR0NCwtDXl6eySdi4rF0dnZK872NEY9lwoQJdnkaa+7Tu7Nnz0Kr1QLoTYJnTENDA27cuGGT2AwRk351dnbKJvzr6uoyWbd95eXlhYSEBKjVaixcuBBA73z/s2fP6m1nbp2ePn0aADBnzhyjHQXAf/OY7SUsLEyK+ciRI30qq1AoMGnSJAC9uRcGE0dtU6wxefJkKQ9KaWkp6uvrBzagPtBN6Pfnn38OYCT/EfOe3Llzx6rr0Nw2QTcZ7UAmCjS3rRP19PRIuTzE9oCIBid2FhDRoDR79mzpqc6uXbuMbtfS0oIff/zxnjL20NjYiLi4OGi1Wnh7e6OwsNDkvGUAmDdvnvRa7liOHj0qfdnXLWNLukke79y5Y3Q73XnpcgmsPv30U9sEZoRuPeTl5Rnd7rvvvrPrCAfd4d13Jx4U61SuPoH/6lSuPmtra03eyFrL09MTkZGRAICCggL8/ffffSov3kw0NDTg0KFDNo/PXhyxTbGFt956C0DvSI8VK1bYJLdGf9BNrvnrr78OYCT/UalU0o3+5s2bLd6PuW2CeC0JgoBPPvnE4vezJbm2TlRfXy91EptKFkpEjo2dBUQ0KPn6+mLx4sUAgB9++MHgjWJnZydWrlwpPQEXn/jbQ0dHB1QqFTQaDVxcXPD999/LDmPWFR4ejmnTpgHoHYquVqsN7n/VqlUAehNwpaSk2C54HV5eXtKIhcbGRqPbjR8/XvrSnJeXZzAfQVFREbZt22aXOEXh4eGYOnUqAGD79u2orKy8Z5vW1larhl/X1dXJjkoQBEFawtHJyQkPPfSQ3t/FJIFNTU2yeRvEpQwrKytx7ty5e/5++fJlJCUl9TF6y7zxxhsAehOlLVmyBB0dHUa3vXjxot6/09LS4O7uDqB3OUtxxIQxxcXF+P33362M2HqO1qbYSnx8PJ599lkAvTfd8+fPx4ULF2TL3Lp1y+SNrL35+/tLSRbFkRwD7ZFHHpGW2P3666+RnZ0tu31zczP27Nlzz+/FNqGtrU12lYuYmBiEh4cDADZt2oSCggLZ9zt16hSKiopkt5FjbVsn0v28BmrpTSKyDeYsIKJB6+OPP4ZarcbVq1excuVKVFZWIiEhAaNGjUJDQwOysrKkLz7x8fEm18W2RmpqKv744w8AwKuvvgp3d3e9pdjuNmbMGL2M6zt37sSMGTPQ2dmJBQsWIDU1FSqVCm5ubqitrcWHH34oDevMzMy02/zVYcOGYfr06fjll1+wa9cuhIWFYcqUKVJGa09PT3h6esLLywsLFixAcXExSkpKEBMTg5SUFAQEBKCtrQ379u3DF198gcDAQFy7dk02E7u1cnJyEBUVBa1Wi/nz5yM9PR0LFiyAi4sLjh07hvfffx/t7e0IDQ2VnapgTF1dHZKTkzF9+nSoVCpMnToVPj4+0Gq1aG5uRm5urvSkeeHChfesIBAZGYnc3Fy0tbXhtddew3PPPQcPDw8AvZnCxRuiZcuWoaioCDdv3kR0dDTefPNNaQWNqqoqZGdn459//sHMmTNx9OhRa6rMJJVKheeffx6ff/45qqqqEBwcjNWrV+Oxxx7DyJEj0d7ejpqaGuzduxehoaF6a7J7e3sjLy8PcXFxaG1txbRp07BixQo88cQTGDt2LLRaLS5evIjjx4/jm2++QVNTE4qKikwu69YfHKlNsaWdO3eio6MDxcXFqKysRFBQEOLi4jB//nwEBgbCw8MDt2/fRktLC6qqqrBnzx4pE785o6PsZdGiRdiyZQvKysocJsnh9u3bUVNTg6amJmRkZKCwsBDLli3DpEmT4OLiAo1Gg99++w0lJSUoLS3F4sWLsXTpUr19iCN3enp68PLLLyM1NVUvV8j48eOl1/n5+QgPD8eVK1eQkJCA3bt3IyEhARMmTMDQoUPR1taG2tpaFBUVobq6GhkZGVCpVBYdm7VtnUjs8A4NDbU4uSMROQiBiKgflJWVCQAEAML69evNKrN8+XKpTHNzs8FtTp48Kfj6+krbGfqJjY0Vbt++bbB8dHS0AECIjo42GU9zc7O0z9zcXIP7MffHUB0cOnRIGDlypGy5V155Reju7jYYX0BAgABAWL58uexxiPUaEBBg8O8HDhwQnJycTMbd0tIiKJVKo7EqlUrh9OnTsnHpnhdlZWWyccvJz88XFAqFwTiGDRsm7Nixw+RxG/tscnNzzfpMIyMjhfb29nv2e/36dSEwMNBgmbtjSU5ONrr/oUOHCps3bxbWr18v/a4vx3E3U+d+V1eXsHr1aqPngvhj7Hzbv3+/4OnpabLehgwZIpSWlsrGaukxCIJgsr7u1l9tirnXa1/bTWO6u7uF9957T/Dw8DDrfHZ1dRVSUlKEy5cvm9y3eCzGri1LnTp1SoqnvLzc5Pvboi7l2nlRa2urMGvWLLPqMTk5+Z7y3d3dQkREhNEydztz5owQEhJi1vtt3LjR4vqxtq0TBEG4efOm4ObmJgAQNm3aJPt+ROT4OA2BiAa1sLAwnDlzBh988AFmzJiB+++/HwqFAr6+voiNjcX+/fuxb98+vbn4jiomJgbnzp3DmjVrMGXKFIwcORIuLi5QKpVITExERUUFtm3bprcOuD08+eSTUKvVWLRoEXx9fY2uk+3v74+TJ0/i9ddfR1BQEFxcXODh4YHQ0FCsX78edXV1CA4OtmusoqVLl6K2thZJSUnw9fWFQqGAn58f4uPjUVlZiRdffNGqfR88eBDp6emIiorCuHHjMGLECCgUCowdOxYLFy7EV199hYqKCr117UXu7u6oqqpCWloaJk6cKPukdteuXfjyyy8xa9Ys3HfffXBxcUFAQACSkpKkffSXoUOHYuvWraipqcFLL72EoKAguLm5wdnZGT4+PoiJiUF2djaysrIMllepVGhubkZWVhYef/xxeHt7w9nZGcOHD8e4cePw1FNPITs7G+fPn8ecOXP67bhM+X9qU3QNGTIEb7/9Ns6fP4+cnBzExsbi4YcfhoeHB4YNGwYvLy8EBwcjMTERn332GVpbW5GTk6P3xLu/hYSEYObMmQB6n7A7Ch8fHxw5cgQHDhxAYmIiAgMDMWLECDg7O+OBBx5AZGQkMjIyUF5ebjD/xZAhQ3D48GGsXbsWoaGhcHd3lx01ERQUhLq6OuTn5+OZZ56BUqnE8OHDoVAo8OCDD2L27NlYu3YtTpw4gXXr1ll8XNa2dQBQWFiImzdvwtXVFcnJyRbHQkSOwUkQ7LjwNRERERGRhQoKCqSpIC0tLVI+DHJM8+bNg1qtxqpVq+ye4JaI7I8jC4iIiIjIIS1ZsgSPPvoorl69aveEqWSd6upqqNVqKBQKrFmzZqDDISIbYGcBERERETkkJycnfPTRRwCA7Oxs2aVFaWBt3LgRQO+KKEqlcoCjISJb4GoIREREROSw5s6diy1btkCj0eDChQv9lguFzHfr1i1EREQgIiIC6enpAx0OEdkIcxYQERERERERkR5OQyAiIiIiIiIiPewsICIiIiIiIiI97CwgIiIiIiIiIj3sLCAiIiIiIiIiPewsICIiIiIiIiI97CwgIiIiIiIiIj3sLCAiIiIiIiIiPewsICIiIiIiIiI97CwgIiIiIiIiIj3sLCAiIiIiIiIiPf8DBoBLn907QsIAAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plotting\n", + "model_scores = jnp.array(model_scores)\n", + "for model_ind, model in enumerate(models):\n", + " plt.figure()\n", + " fig, axes = plt.subplots(1, 1, figsize=(11, 7))\n", + " num_ticks = 3\n", + " for dist_ind, distance in enumerate(distances):\n", + " axes.plot(\n", + " jnp.linspace(dist_min, dist_max, num_points),\n", + " b3d.normalize_log_scores(model_scores[model_ind, dist_ind]),\n", + " alpha=0.6,\n", + " linewidth=4,\n", + " label=str(distance + cam_y_distance),\n", + " )\n", + " title = \"Scene object posterior conditioned on mug: \" + model_names[model_ind]\n", + " plt.title(title, fontsize=25)\n", + " legend = plt.legend(fontsize=20, title=\"Distance (m)\")\n", + " legend.get_title().set_fontsize(\"15\")\n", + " axes.tick_params(axis=\"x\", labelsize=15)\n", + " axes.tick_params(axis=\"y\", labelsize=15)\n", + " axes.set_ylim(0.0, 0.006)\n", + " plt.xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " plt.ylabel(\"Posterior Probability\", fontsize=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "num_points = 4001\n", + "distance = 0.25\n", + "observed_images = []\n", + "scale = 9\n", + "renderer = b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + ")\n", + "distances = jnp.linspace(0, 1.5, 4) - 0.3\n", + "\n", + "for d_ind, distance in enumerate(distances):\n", + " gt_pose = b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv() @ b3d.Pose.from_translation(jnp.array([0, distance, 0]))\n", + " transformed_vertices = gt_pose.apply(object_library.vertices)[None, ...]\n", + " images = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " gt_image = images[0, ..., :3]\n", + " gt_image_depth = np.array(images[0, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " observed_images.append(\n", + " jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + " )\n", + "\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "plt.figure()\n", + "fig, axes = plt.subplots(1, len(models), figsize=(10 * len(models), 7))\n", + "for model_ind, model in enumerate(models):\n", + " ax = axes[model_ind]\n", + " for d_ind, distance in enumerate(distances):\n", + " horizontal_range = 0.1\n", + " point1 = jnp.array([-horizontal_range, distance, 0])\n", + " point2 = jnp.array([horizontal_range, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " linear_poses_batches = vec_fun(point1, point2, alphas).split(10)\n", + " logpdfs = []\n", + " translations = []\n", + " for linear_poses in linear_poses_batches:\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + " rendered_imgs = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (len(linear_poses), 1, 1)),\n", + " )\n", + " logpdfs.append(\n", + " model(observed_images[d_ind], rendered_imgs, model_args[model_ind])[0]\n", + " )\n", + " translations.append(linear_poses.pos[:, 0])\n", + " logpdfs = jnp.concatenate(logpdfs)\n", + " translations = jnp.concatenate(translations)\n", + " ax.plot(\n", + " translations,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=0.7,\n", + " linewidth=4,\n", + " label=str(distance + cam_y_distance) + \" (m)\",\n", + " )\n", + " title = \"Posterior conditioned on two two-object scene\\nModel: \" + str(\n", + " model_names[model_ind]\n", + " )\n", + " ax.set_title(title, fontsize=25)\n", + " ax.tick_params(axis=\"x\", labelsize=15)\n", + " ax.tick_params(axis=\"y\", labelsize=15)\n", + " ax.legend(fontsize=20)\n", + " ax.set_xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " ax.grid(True)\n", + " if model_ind == 0:\n", + " ax.set_ylabel(\"Posterior Probability\", fontsize=20)\n", + " else:\n", + " ax.yaxis.set_ticklabels([])\n", + " ax.set_ylim(0.0, 0.008)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "# drawing posterior samples" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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e//73b/Pnhx9+OFBsmHTnnXfyve99j+985zt85zvf4dprr+Wss87iK1/5ynZf//jjj59yMeLDH/7wlM3aZsvO9D8o1hjffPPNvO997+PYY49lYGAA7z0vfvGLt/qsYOc+lwkTr/vVr351ysWVCXG8+09fFixYQLVa3eYGYROP7bPPPn/w940x251hMRv9fOK1Fy1atN12iIjIjqlIFhGZoQMOOADvPcuXL+eoo46afHzVqlVs3Lhxq/vUnnTSSZx00kn8zd/8Dddddx1veMMbuP766znvvPO2W7QdfPDBACRJwgte8IJZbTsU942d+BsAaZrywAMP7PTfOuSQQ3jPe97De97zHpYvX86xxx7LVVddxde+9jX+8z//k3Xr1vEv//IvPPvZz578nW1tRDRbli9fPmWE/b777sN7z4EHHvgH38P4+Pi0YlGpVHjZy17Gy172Mrz3vP3tb+fzn/88l1xyyVYXMSZ8/etfnzI9d/PPYUsTfe3++++fMnr8m9/8ZodtmzCT/rdhwwZ++MMfsmzZMi699NLJxydGemfikEMOwXvPPffcw7HHHrvd50BxAWI2+/3OsNZy9NFH84tf/GKrn/3Xf/0XBx98MIODg9v9/TiOOeSQQ3ZpP3/ggQdYtGjRdmc/iIjI9GhNsojIDL30pS8F4FOf+tSUxz/xiU8ATO48vGHDhq1GfSaKg4mpm319fQBb3X5pyZIlPOc5z+Hzn//8Nkew1qxZM6O2v+AFL6BSqfDpT396Stv+4R/+gZGRkWntmrwtzWZzq1srHXLIIQwODk6+14mRsc3/bpqmXHPNNTP6m9MxcSudCZ/5zGeA4j7Y23PGGWdwyy238L3vfW+rn23cuJE8zwG2uhWStZZjjjkG2PbU3AnPeMYzeMELXjD59YeK5Il2fvrTn57y+JZ9b1t2pv9t67Oa7t/dntNPPx1rLZdffvlWI9ETf+dFL3oRQ0NDfOQjH9nmOurN+303t4DqxkMPPbTV+vjXvOY1/PznP59SKP/mN7/hpptu4rWvfe0OX/NpT3vaNovs2XL77bfztKc9bZe9vojInwqNJIuIzNCTnvQkzj77bP7+7/9+cgrxbbfdxle+8hVOP/30ydskfeUrX+Gaa67hla98JYcccghjY2N84QtfYGhoaLLQrtfrPP7xj+ef//mfOfzww1mwYAFPfOITeeITn8jVV1/NM5/5TI4++mje/OY3c/DBB7Nq1SpuueUWHnnkEf77v/+767YvXryYiy++mGXLlvHiF7+Yl7/85fzmN7/hmmuu4fjjj+fP//zPZxST3/72tzz/+c/njDPO4PGPfzxxHPOtb32LVatWTW6+9fSnP5358+dz9tlnc/7552OM4atf/WpX03G79cADD/Dyl7+cF7/4xdxyyy187Wtf48/+7M940pOetN3fed/73se///u/c9ppp3HOOedw3HHH0Wg0+NWvfsU3v/lNHnzwQRYtWsR5553H+vXred7znsfSpUv5/e9/z2c+8xmOPfbYKTMMdsaxxx7L61//eq655hpGRkZ4+tOfzg9/+EPuu+++Hf7uzva/Zz/72Xz84x8nyzL23Xdfvv/97+/UaOihhx7Khz70Ia644gqe9axn8apXvYpqtcrPf/5z9tlnH6688kqGhob43Oc+xxvf+Eae8pSncOaZZ7J48WIeeughvv3tb/OMZzyDz372s8CmW0CdffbZ09q863/8j/8BMHm/5a9+9av89Kc/BeCv//qvJ5931lln8eMf/3hKv3z729/OF77wBU499VTe+973kiQJn/jEJ9hrr70mN+z7Q17xilfw1a9+ld/+9reT0/Vny+rVq7nrrru22qRORERmYPdvqC0isuebuI3OH7ptTgjFbV2WLVsWDjrooJAkSdhvv/3CxRdfPOU2RnfccUd4/etfH/bff/9QrVbDkiVLwmmnnRZ+8YtfTHmtm2++ORx33HGhUqlsdYuX+++/P5x11lnhcY97XEiSJOy7777htNNOC9/85jen1eYtbws04bOf/Ww48sgjQ5IkYa+99gp/+Zd/GTZs2DDlOSeffHJ4whOesIOIFdauXRve8Y53hCOPPDL09/eHefPmhRNPPDHccMMNU573s5/9LJx00kmhXq+HffbZJ7z//e+fvIXT5rfk2d7fPuCAA8Kpp5661eNAeMc73jH5/cRtie65557wmte8JgwODob58+eHd77znaHVam31mlveRmhsbCxcfPHF4dBDDw2VSiUsWrQoPP3pTw//63/9r5CmaQghhG9+85vhlFNOCUuWLAmVSiXsv//+4a1vfWtYuXLltGI2Xa1WK5x//vlh4cKFob+/P7zsZS8LDz/88A5vAbWz/e+RRx4Jr3zlK8Pw8HCYN29eeO1rXxseffTRrf7uRKzXrFkz5XW31/e+9KUvhSc/+cmhWq2G+fPnh5NPPjnceOONU57zox/9KLzoRS8K8+bNC7VaLRxyyCHhnHPOmdL2bm8BBWz3a3MTtx/b0sMPPxxe85rXhKGhoTAwMBBOO+20sHz58mn97U6nExYtWhSuuOKKKY+fffbZob+/f6vnd9P/P/e5z4W+vr4wOjo6rbaIiMj2mRB24aV7ERGRHrrssstYtmwZa9as0WZGske44ooruPbaa1m+fPkOb9XWjSc/+ck85znP4ZOf/OSsvaaIyJ8qrUkWERER2U0uuOACxsfHuf7662ftNb/73e+yfPlyLr744ll7TRGRP2VakywiIiKymwwMDGx1v+md9eIXv5jx8fFZfU0RkT9lGkkWERERERERKWlNsoiIiIiIiEhJI8kiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIiUVySIiIiIiIiIlFckiIiIiIiIiJRXJIiIiIiIiIqW4F3/Ue8+jjz7K4OAgxpheNGFOCiEwNjbGPvvsg7XdX99Q3GdOse+dnYm94j5z6vO9oz7fG+rzvaPY94bi3juKfe9MO/ahBx5++OEA6GuGXw8//LDirtj/yX3NJPaKe2/irtj3LvaKe2/irtgr9nP5S3FX7P8Uv3YU+2mNJD/5yU+e9lWKO+64Y4fPGRwcnNZrybbNNH6K+85T7HtnJjFU3Hee+nzvqM/3hvp87yj2vaG4945i3zs7iuG0iuTTTz99NtoySdMCds5M46e47zzFvndmEkPFfeepz/eO+nxvqM/3jmLfG4p77yj2vbOjGE6rSP7whz88K40RERERERER2ZNpd2sRERERERGRUte7Wzvn+OQnP8kNN9zAQw89RJqmU36+fv36WWuciIiIiIiIyO7U9UjysmXL+MQnPsHrXvc6RkZGuPDCC3nVq16FtZbLLrtsFzRRREREREREZPfoukj++te/zhe+8AXe8573EMcxr3/96/niF7/IpZdeyq233ror2igiIiIiIiKyW3RdJD/22GMcffTRAAwMDDAyMgLAaaedxre//e3ZbZ2IiIiIiIjIbtR1kbx06VJWrlwJwCGHHML3v/99AH7+859TrVZnt3UiIiIiIiIiu1HXRfIrX/lKfvjDHwLwV3/1V1xyySUcdthhnHXWWZx77rmz3kARERERERGR3aXr3a0/+tGPTv736173Ovbff39uueUWDjvsMF72spfNauNEREREREREdqeui+QtPe1pT+NpT3vabLRFREREREREpKdmVCQ/+uij/PSnP2X16tV476f87Pzzz5+VhomIiIiIiIjsbl0XyV/+8pd561vfSqVSYeHChRhjJn9mjFGRLCIiIiIiInNW10XyJZdcwqWXXsrFF1+MtV3v+yUiIiIiIiKyx+q6ym02m5x55pkqkEVEREREROSPTteV7l/8xV/wjW98Y1e0RURERERERKSnup5ufeWVV3Laaafx3e9+l6OPPpokSab8/BOf+MSsNU5ERERERERkd5pRkfy9732PI444AmCrjbtERERERERE5qqui+SrrrqKL33pS5xzzjm7oDkiIiIiIiIivdP1muRqtcoznvGMXdEWERERERERkZ7qukh+17vexWc+85ld0RYRERERERGRnup6uvVtt93GTTfdxH/8x3/whCc8YauNu/7lX/5l1honIiIiIiIisjt1XSQPDw/zqle9ale0RURERERERKSnuiqS8zznuc99LqeccgqPe9zjdlWbRERERERERHqiqzXJcRzztre9jU6ns6vaIyIiIiIiItIzXW/cdcIJJ/DLX/5yV7RFREREREREpKe6XpP89re/nfe85z088sgjHHfccfT390/5+THHHDNrjdtVasbQbyyRMVSAWq3GQJ4TW0uc59hqjeByTBTh0xQfILUGZy0jeYbzgdSAC4ER53C9fkNzRN0Y9oljasbSbwzV/n5CmuGDJ6QZznuII6I4xgAuy2gZQ4PAijSlHUKv38KcY4B51jJgLfNtRDWOqVo72beDD3jnILLYOCY4T04gDYF1LqdR9nFFfmYmck2ftSywlkqtRpymxPUaeaNJsJbgPcaW1yuNpeMdaQisdjk5MOIcvqfvYu4wwJC1xBiGIsu8KKaSJERZRlytkrdaBGvBB4iK2IcoIvWeMZcz4v1kzNXnZ2bL4+v8vjpxmhV5J4Qi93iHNRE+y/AGMmvJrWVju01uLWnwtEOg4dXzu1Ezhvk2Yn4UUTOGerWKNQafZQTncXlOKHO9AYL3tL2nAaxzjg0uV7+foQVRxGIbUbOWOobq0CDZ+DjGWly7gzcGk0REcVL0+xAYIzDuA49kqeI+QxNxr1hL/+ZxjyyuVcY9LuOeF3EfDYFmKOKuDDNzW+b6qFrFpylYQ8iKmmpeHJNYSxwCUaVCs9MhN4aNnQ7OGIy1WGsJzhEMdELAseec93RdJJ955pkAnH/++ZOPGWMIIWCMwbk9v2Q0xrC0XqcWAsYHknqdA41hUbWGTzNMEpPmGdVaHWsM+XgDZw0rvGOND7h2Gw+s845R3wYVb9NijeGIgSEOq1QJrTbx8HzarRbVJCEYg2s28QRspUq9r498/UZya1iepzyaZYrzDA3ECYfV6xwWJfRVq3jniAb6ydttImPx3uOylMpAP6GTEVnLaLvNbzpt7k87jMyBf9N7qolcMw/D4bU6A3195I0GlfnDpH1tIu+LQtl54iTGdzJsJeHh8TEGs5SVeab4d6kvTjigWqWWO44ank9MIHaeMNhPPt4gspYQRUSA76QQx2RRxL0b1jMeAisU852y5fF1YV8/Bw5ExD4QJQmpy8F74mqVKIpJN24kVBJWAquSCnmaklnDfe027BGnSXOHMYb9+/p4Yq3OoAtQq+LjiOBykqRC1m7j8xxbrZAkFWyak6UdHnI5dzQbbFSRPGOJtTxz4WL60ow4BMLwfFJrqdX6CEBnZARbTYjqfVSNJd04QpbE/LQxxgoVyTMWW8vTFi5mKMuIfID58+kYS63eVxRdG8u41+rUoojOhhHyJOLmZoNHsrTXzZ/Ttsz11GvkxpAkCQGI05TDBwYZSiqY3GGjiFYtZTWwot0qBsa8hygiiiJM7nDOsSa4PeYY3HWR/MADD+yKduxWLe9xIVAzEXnWLj5Ql7Ogr5+xjauoLKgTD/RjbIwbb9BspizYb282jo+RpynjnRQGBhhxKdU2RECGDuc70vCejd4xv1qjuWGEgUqVzAQq1TrtjeOkzjCwZCHeB6IQaIw36d9rCfWOYR6GijG0gFTF8rQFYDzPwUaYNGNe/wCZc/QNDtLOcsBCZAhxQr1/gFZrPVFkSX1gqFZjwGUMGUsrFCNs6uPdmcg1xlhcmrFwUR+N8XEG+vpptNoktToYS95JqdWqtNoZtXqdles3sKBWYyQE+k1KJwQy0InUDgRgNM+o9g+QNVpE1jI/ivBkJEmVFi36hofpjLeIIkPwQJKQGqh2MirzBlnb9PRhyAjq8zOw5fHVRRFDSYWKC3SabQbmD2EjC1iysXESb6jPX8Do+BiDjQYd58n6+rHtNnUgpzi+yo61vKfhHEmA/hCwxhL11Qm5IzhIvSXuHyDpq+M7KS5tUTERA/UKA5028zY7xqrfd2dNlhEIDNuItNFgaHCQVtqh2tfH+NqNVCs1+hYtwGU5ptmERpuhA5aStJosLOPeCqA5LN1ZnWWkBIZtTLsxzryBQVqdNtX+fsbXbKBaqdG/aAF5lmNaLXyjxdAB+5G02yw0hjbQpJgZKt3ZMtdXK1XyPCdOKqSNFgFLtVZjfqVKum49RDED8+fR6LQZ7qS0coftr+MCRJGlM9ag2t+PyTrUMeSEntdWXRfJBxxwwK5ox25njIHgMRRFbhQlWGOh3cY6RxzFeOcw3kGagjFEacqCuDjgJ/U6a0dThuOIyBiSpMKKVlNTgnfAGAO5w4Yi7kQJSa1Gq7kK2ilRFJONjxL31QgU08HiENi/klCLImr1Pu7YuJG1uU6bpmsijtYYrPdEGJI4Li42BId3rpzyO4TrpMSVCibAgLXsHcXsO1hhQ54xEuD3raaWF3RpItdYIqwPRDYiiYuLFrZWI2QZrtkgmjeAb7fBzCMOgflRRJYkLIoGebTTJsQJDzebZDqJ+oOMMcW0XsrcHsDGMdY5TO6I45hWo0HUV8NGEVm7DfUa/dZQj2NCrcZgCIx4h4liHlKf79qU46sxRNYSBaDdwrqBYrlBswlpSvBFdG2asjBJCAFMtc7v7SgDJqYSxzS857FUoz7TUfR/MC4QAbGNoBKRjTUIjQa2mhDynJBlYAzBeyJvWGwt8+t9JEnCiizjd80Gea/fzBxjAxjnsQFiDEmlSlJJcBs3EA/0E8cJnQ0bqVYqhBDwwTNo4NBqlXqS4JIKN69fp4tCXbIAzmNDIDaGOJmI+0bi/jpRnNBev4FqrUbwgRA8/cCh1Rr1JCFUKvxs3To0nt+9LWspbyNsHOE7bUwcE0UxrtUuplQDBkM1illgIIRAvX+AB0ZGwJriBUOgYgzzomIKva2U5z09qq26LpIB7r//fj71qU/x61//GoDHP/7xvOtd7+KQQw6Z1cbtUsYABqzFh1CsTXMOooS4r4/gPPhAsDGmViMkMeu9o+mLNYNLgyepVlnRHMcA84G9BwZ4YGysx29sD2cMwRiIY4IxxZTfOCFgSYaGiGo1omYDk1QIlQo5gQc7HW5rt4mAg4FjFi3mJ6sfI9d6tWmJjCm6u43ARnjfwWU5PsuxSbWYimTLQqJaIUQR4wQeyTPuarXIQ+DAgQFcnrGkr5+VzUav39LcMpFromjygoXLHd55oqRC7gNJXz+mUoEkwUeWNd7TzDPuaTaoRREkCXme87j+Ph5uKP47EgCMhcji8yJPeFcsCTI2Ktao9Q8Q8gzynJY1POo8UZbym/FxFtTrPNYYZ6G16vMzsdnxNfiAzx0hWIgSbKUCzkMAU6kQJQneGNYFz2gIuCxjUXD4SoVHGuMkznFg/wBjIdDIVD7skCniTgTBGHyWF+v9fCDq7yfu68NYA5WAcwGX56xxOf/dbjGS5+xbq7O4r4+9jGFFY7zX72ZusQaiGOJikCVvtYmjBBMnVBcuwEaWKEkI1So+sqTA3a0Wq7OUpNPhxPkLOHLBQn61fl2v38mcEowpZsvFMT53uHYbl1QxcUx1wQJsbLFJAtVqsQcFcHe7yao0Jem0OX54PkcuWMhd69f2+q3MPVvUUj7PCbkDY4nrNYw1mCgixBUCgSzPWd1usz4tLvcfHMfsNTDAqjwjxDHewLo8Z7XLMQ4WEti7r5+HepSLut7d+nvf+x6Pf/zjue222zjmmGM45phj+K//+i+e8IQncOONN+6KNu4aExvlEAjOEzAEa/EE0kYDVz7mgyfPMrJ2p3hOCDgfWNfpUC2vfARgJMtIMFhjevaW5oJQbqIQQhF37wIBgzOBTmOcrNEADN57vPM4AhOrpBywotUiJtAXzej6zp8uGxXJzFBcSXXFNBnnHVmnTdZq4Z0vCrgQiv4fAp5AyzvaeUbbOQaiqNfvZO4pc00o924IoSiUPZA2m3gfyNttXJZDmV98CPgAWQisT1P6bMSGNKUvilCG2RFTboQWCMYWMTfgnMM5T9ZuE4wlazSK4g3wPhAIuFD091aeUY8i1qep+vxMbH589R5sRCDgLaTj42X/LjZoScfH8YTy30aRf1a3W/RHxWtkITCSdhiIlfOnxRYXh7CmPMZ6fABvDGmzQdZsFrOHysEBV36FUExrXJt2yFzOQNT16aHEcXGMNQGX5mVMA84aWmvWFHlm4twngPMOX46QZSFw//goe1erPX4Tc1AUYawhGIqLQsFMxr25dg3eFTH23hd5JxTxh4m4j7G0rrjPyJa1VDDFYIChyDUhYKzF+yLnuHJTTE8gd47VoyMMxnGx55AvzjtDec5fLJ/KqRnTfbE6S7o+6lx00UVccMEFfPSjH93q8Q984AO88IUvnLXG7VLeFyMNAYJzmLgYbQt5sUGUz1JsJcHnOTiH94E0z4udUYMvF5y7YodIAAN5mhIDmhS2fcaHcgOuIsbBO0xk8FkKZQLL0rQYVfOuuCq42SwLD7SbDWreM9qrNzHH+FDGvCzOgneE4CEUfTjkebFxWp4XSwzyYmMd7w2Oon838xwTgCzd1OdlespcY5wrZquUhUPIU0w0SN5u48PE6HKxcYUrT2ChONhPxN11Uixo+u+OhGJiF3lOKKe6e5cRfA7W4totbGWomFGR54SkOEgHX6zFbGcZSQg0N4u9+nwXNj++eg/BFSdTaUqo14uRzRDwaQdTrsnPQ3EBjxDIfSCk2WTcU+8Z0AcwPb6Y+kgIBJeDd2XBnBcX58pdrn2eT86gyydPS4uT15AW50EWrcnvigtgDcZ5fJZiTPG9bzVheLi4GOodOIdxDpdPvTtK2wdMs6W4dyt35V0LPC4rVrGaMu7xvHnknQ6uXG5jvMdlbsra73bwuPGG4j4TW9ZSJhQXivIcU6ngsxxfDhDgfHFOb02Ze4qf5c0mUEy/pryQNPnyQJZlPRsc6Lo4//Wvf81f/MVfbPX4ueeeyz333DMrjdodwsRIWfB474t6wRcHCpemeFeMpkU2whAI5Zb9hmIOfhQ8ZrMP0gSIgp/y4crWvHOTV67zLAOKzXMMxVpl12qT5zlRgKi8Zcjmp6dRCFRyp80tupCWI2TOOfI8x0/c9olylC13uKyYIhN8sdmLMZvKAgNUvMeGYgmCdGci1zjvi/gHcLnDEJUb6gR8lmF9kYsiyunxxfVYIg/4gAkBG4J6/g6EMqd7AnmZt10IeOchmMnb+pHlmFD8WzDWsmleECTliP9E7KU7mx9fXZ4Xx9eJ0eMsKwo154hMVFzI8B7vHZEpTkkiwIRNp6tJeQFVdqy41ZMr800xe4JQnmI6j88y8jSFAJHZ1O9d+ZTIg/VFMSHTF4BOluG8I584vzFRcX5jLKHTIc9y8jSjEsXF0o8tXqPiPcbr7KZbvswfzrmib0/GPSJ0Org0I0tTkiguj61+SowrPhQXsXvU/rlsy1qqqJApZi66cqArzzHG4Mv9JyZHFgGTZsUxOARseVk0+Knn/HHoXS7qukhevHgxd95551aP33nnnSxZsmQ22rRbBIqTqUA5BZVyLr21YAw2soQ8L69KGWwUFSdUaTHiOZBU6eSb/lHVbXElRRtd/GETU7wCEKzFGIt3Od5GBGOKdbHekzUaBOcxUYzf7B/MvDgmAcb3kO3h54KJZQJFfy+ubBc5yhTJKIqxFFf+KGdOGFNuyECRJPptsUFdpgNJ1zblmpIpv4+KWz8RReUV1rJoK293ZowlBOiPo2JH8igiL6dpy/aVkyaKkbTJx0KZ2ynWwlpbzF4JAYMh6xTLaSb6/ICNaDg3GXv1+e5MPb4WJ03F8TUq14Xb4qJonhfHW2sJucPnGcZaBuKY1Plyo5ci7zecjq7TFcppi1hT5Pty+QbWFheEAvhOp/g3MLGGudQfR0QYUuWargQgI5T3ezXFlHfKfh8V96WOogiyjKzZKD6HcjOjCXtXa4x0tH1U10IxAOONwWwe9zgCivNKk+XkjfFiVlc58jlhn0qV0UxbYs7ElrUUFBctKC94OmsJuceVGyAba4v8VD53MEnIy4sbIXiMtVPqqGq5r0Wvzvi7nm795je/mbe85S387ne/4+lPfzoAP/vZz/jYxz7GhRdeOOsN3FVSAsYWa82MjYopMuW8+ABgDZGtENJiW/9gilFkmyQkccTigQHuGB8Bio2RlgwMsmF8XP/IdiANARPFYCzWRvgEiGJM8DjvCN4RRTFRvU6wG7CxLaYGA5Uo4rBFi3l0wwY6vX0bc4sBrCU1YGwMUY6JouLWT3kopqAGj03i4mCSFJuqTRQUC/v6IQQGkxoPj2mSe7cmck2AIrbWFrnGBLyhmB5Zfh42iornABhDElkW1YpNpJb0D7BS8d+hjIAzxR4TKQaTxHhPUYiZYlDNeI+pFhuJxJUKISr7uzHMr/fh8wwXWRb19fOIYt61qcdXS4hssVlU8ARbfAZRkuDTlIkVaDaOIXgqScLCvj7+q9y8aKhWI7YRY9rdelo6BNrWUmymU2xSVxQG4H2O945KVCnW6VOM9lDuNJtEEXsPDhL5wLrRkV6/lTknNWCShNDqYOOYPPgi17ucPCqKiUqtjkni8gKGnZzoPlStcujChfxoxYoev4u5p1PGnTLf432xPtzlOAPBu+J2i5WkyEPRprgPVCoctmgRP1HcZ2TLWirYYg0yobjI1sETVSrFxSOA2BJcMYsisZaFfXUeWt/B1irQoPg3URbQsbUsGRhk7XjvNkTuuki+5JJLGBwc5KqrruLiiy8GYJ999uGyyy7j/PPPn/UG7irOlFe4KT9QKK9AhXIHZojKndYCxa6o86pVqtUqtlJhbZbireVxSYUBa2nnOeu8Rjd3JC+LL0Mo4u19MWpvNl2RsklSjnYGoihicbXGsSGwJEkYyzJ+3Wn3+m3MQcV0OlNuNmficjOiyBKy4t/AxNXvYCCOLEuqFZ7Un1OJE9Z3WjyWdhjTlMeuTeYaXxxMDKE4caIc5SluElgU0ZHFRhFDUUS1ViPyno3BszipMJqljCr+07ApxzhbxN6aMNm3iyGdsr8TMFFEJY5YFMcMVmsYY3g0y9g/qbBGfX5GNj++Ym05M6UcrSw3VTNJXK5V80RRxLxKlfnGUPOBx/KcShSzvzXUopiH2i2Nak5TcYGoWBdrbDlqbyZGlIvzGSJbzqDLsJFlOIo4st7HgLWkAe5PO4yo33fNGYPBYIIvirY8xcQWD5NLx0xSIZhiZleUxCyt1jiyZlhYqXDn6Ajreji1dK7KyxlBxbE1gbSDiW25QZQHAraSlJtneuJKhaXVGodXYXG1yl2jo6xW3Gdkq1rKbJqtOLGcwG5WW9koYriS0J9UqGJZ3W4zbg2RKc/5rWUgThiwEX3WMpalbOzh0o+ui2RjDBdccAEXXHABY+XtjgYHB2e9Ybtc2OwjLKcbTexvZKKoGO0srzTZcopYHUPbe9ZmOVmzQR1DJwRWpB1aOqBMTxn3iZEyEyfFSIL32CjGxAk+Le7fGCUVQu4YtpZ1IXDn+DhrXa6TpW5ttqx7ohCbuBWXKXcetOWVQFvuIFsxlth7WnnOA60WG11OR318ZiZyTfDF6IGxxWPWFLMpyLDWFldjTXHhqC+OaTvHuixldZYy5pzuwT5tE/OtTTGdOo7xaVqcQNmouB1FCEVejyw+dyQUM1VG85yVjQbjLmfUOfX5mdri+BpMueNpCNg4wdgIn+UYDDapgA/0GcOYMaxutxgPjooxjOaOFem4NqrrRtlnw8Sa17JIDr7M9eVMLmOKkR/jHfUQiAP8rtViTZ4p18yUDxCXF4HKnF5sXBeIKlUwEZBhorj4ee5YYC1r0pRfNxuMah34zHgPSbHHirEWorjcpDSQJNXi2Bqy8tw+KuMesSZNube1QXHfGVvWUhPnN2HTYEAxFbuYTWSMoW4sDe9Y3elArTJ5jmri4nOrA6Pe8UiW9jwX7dQ9FeZkcVxy5S6/EzuytTC4cs3TRFILUGysEwI+y3ksS0l9TifPsS5mVZYyorWxXWm5nE7WKTbXyXJI4uLCRHkViXJzNJ+m+CwjpBn3jo/z63az102fs3w5lT0v171O3ALKlFdVJ0d8vCfkOb5j2NBpsyIz3NtuqVDYSRO5puH95AUg7xyGYsqXKS8ahSzDBE/e6bCy3aZj4IF2m6aucHclALnLiUKxUVrIyrzuylj78v+Dh7w4Boy22jza6UBkWZF21Od30ubH19w5Ot4T+XLX03J6L5T7IASPyzNWph0a7RbeOxqZ4dFM06tnYmJTTO8DuGI9HxMziCZGfAj4PCNkKc55VoScX7UaNFUs7JR2luIoN6lLs+JikA/FDC4TihFmwLVaBOdpt9rc0RinobjvlFaeFfvalHG3xk5eFCqWjRWjyUXcHc1mi9sbY4r7LNiylqLcS2Vifw/vir2efJYWRXCa82ieMpLnuOCplRVy8MXx2DvHY2lKYw+ZmTvtIvm5z33u5JveHmMMP/zhD3e6UbvDqk6HqnP0G8jGxsijiFqrRb+FdGyUatohiiJazRYOz8Nr1zCeZzggJ7Cu1WRMBXLXHm63uXXdWg4ylsa6tdTjhLiS0Ol0MN4zvm4thGJdYdvnPLhxPQ+mrV43e07rhMD9jQbOWMzIRuZZS3vlY1BuQhe8wxpL6jKyTspIGx7qdHgoeFIVCzttItekGCprVjHfRDQfewyTZmRZinfFLbfaLiXLclZ2WowGz6pmg5YK5K7lIfBgo8FexvDA6Ai23WYoSQhZThwgX5PhOmlxsc4YGiHwO5fRJrC62VCfnwVTjq+jo/ym1WJfGxM5RzYyQpp28FlGmqbFvXnXrWUsS0m9p+MDD+cqkGdqVafD/3MeH8XMyzKqWUpiI3ya4fIMPzZGp9Ui957UOVbkOfe5jJYKhp3289GN1Cs1FmJor3yUWlIpbmkWAqHdZnTtGoLzdLyjERx3rV2tCxOz4PbREerVDovMlnH3hE6b0TVrCM7R8YFG8Ny1TnGfLVvWUnEUFReCCFjnWDGyEWNj6sFD2mF9u8mYMeXdbQJpefsnn6bkBNa3WzT3kAIZuiiSjz322O3+bGxsjOuuu45OZ+5sp9Qm8Ns8IwKsy0iiiDs6LWwI2BwqWRtjDGl5z1KfA8bgyoS353yEc0ubwE/SNrcYQ5y26I9jTNOUIwoBM16MtHW8px0CmW55MytWuZw1wO15Rs0a4k6LBMr7JRcja74DWQi0yz6uQ8js2DzX3JGn1OMYEwIJBtMp7w1IIO8YHIFOecsi5ZiZW+0da4DI5dyRl7f+cI5KZKFT3s0gBHKKnD5xmzT1+dmx1fHVZZgQilv7ZZDkbbxzZD7gCbi0mBqflv1eOX/m2gR+laf8Os+IDdTSiGTiTgbeg0sxxpAR6Hg/GXPZeeu959/azWK5Utqkf2LDIu8hBeNSQgg0QyD1XndDmSXrg+f/tJtUjFHcd7Nt1VKU9zsGoOO4LZT3X6fY6NgYMzljl9Tv0bXVtIvkT37yk1s9luc5V199NX/zN3/DvvvuyxVXXDGrjdsdXPmVbTkqnG/jn5FGGGZNFgIZ0MqyqT/Q6Pwu4ykS1fjEyZLsVpO5Zlu5RWZdoLglXx4CrbzMM7n6/e603ePrljtV69g663ICeYD2lvlGod6lAtAJng7Q2HLgSPlnlyniHhT3HtlurvdbJJwtc/3EZlB7qBmvSf7617/OpZdeSqvV4rLLLuMtb3kLcbxTS5xFREREREREeqrrqva73/0uF110EQ888ADvfe97ufDCC+nv798VbRMRERERERHZraZdJN9222184AMf4NZbb+Vtb3sbP/jBD1i0aNGubJuIiIiIiIjIbjXtIvmkk06iXq/ztre9jYMOOojrrrtum887//zzZ61xIiIiIiIiIrvTtIvk/fffH2MM//qv/7rd5xhjVCSLiIiIiIjInDXtIvnBBx/chc0QERERERER6T3b6waIiIiIiIiI7ClUJIuIiIiIiIiUVCSLiIiIiIiIlFQki4iIiIiIiJRUJIuIiIiIiIiUprW79ejo6LRfcGhoaMaNEREREREREemlaRXJw8PDGGOm9YLOuZ1qkIiIiIiIiEivTKtI/tGPfjT53w8++CAXXXQR55xzDk972tMAuOWWW/jKV77ClVdeuWtaKSIiIiIiIrIbTKtIPvnkkyf/+/LLL+cTn/gEr3/96ycfe/nLX87RRx/N3//933P22WfPfitFREREREREdoOuN+665ZZbeOpTn7rV40996lO57bbbZqVRIiIiIiIiIr3QdZG833778YUvfGGrx7/4xS+y3377zUqjRERERERERHphWtOtN/fJT36SV7/61XznO9/hxBNPBOC2225j+fLl/O///b9nvYEiIiIiIiIiu0vXI8kvfelLWb58OS9/+ctZv34969ev52Uvexm//e1veelLX7or2igiIiIiIiKyW3Q9kgywdOlS/uZv/ma22yIiIiIiIiLSU12PJIuIiIiIiIj8sZq1Ivmoo44iiqLZejkRERERERGR3W5G06235corr2RkZGS2Xk5ERERERERkt5u1Ivn000+frZcSERERERER6QmtSRYREREREREpTWsk+SlPeQo//OEPmT9/Pk9+8pMxxmz3uXfcccesNU5ERERERERkd5pWkfyKV7yCarUKaFq1iIiIiIiI/PGaVpH84Q9/eJv/LSIiIiIiIvLHRGuSRUREREREREqzViSfffbZPO95z5utlxMRERERERHZ7WbtFlD77rsv1mpgWkREREREROauWSuSP/KRj8zWS4mIiIiIiIj0hIZ+RURERERERErTGkm+8MILueKKK+jv7+fCCy/8g8/9xCc+MSsNExEREREREdndplUk//KXvyTLssn/3h5jzLT+aAhhWs+TbZtp/BT3nafY985MYqi47zz1+d5Rn+8N9fneUex7Q3HvHcW+d3YUw2kVyT/60Y+2+d8zNTY2ttOv8adsbGyMefPmzej3ZOco9r0zk9gr7jtPfb531Od7Q32+dxT73lDce0ex750dxd6EHlyK8N7z6KOPMjg4OO3RZymueIyNjbHPPvvMaCdxxX3mFPve2ZnYK+4zpz7fO+rzvaE+3zuKfW8o7r2j2PfOdGPfkyJZREREREREZE+k3a1FRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESiqSRUREREREREoqkkVERERERERKKpJFRERERERESnEv/qj3nkcffZTBwUGMMb1owpwUQmBsbIx99tkHa7u/vqG4z5xi3zs7E3vFfebU53tHfb431Od7R7HvDcW9dxT73pl27EMPPPzwwwHQ1wy/Hn74YcVdsf+T+5pJ7BX33sRdse9d7BX33sRdsVfs5/KX4q7Y/yl+7Sj2PZluPTg42Is/+0djpvFT3HeeYt87M4mh4r7z1Od7R32+N9Tne0ex7w3FvXcU+97ZUQx7UiRrWsDOmWn8FPedp9j3zkxiqLjvPPX53lGf7w31+d5R7HtDce8dxb53dhRDbdwlIiIiIiIiUpr2xl3/+I//OK3nnXXWWTNujIiIiIiIiEgvTbtIPueccxgYGCCOY0II23yOMUZFsoiIiIiIiMxZ0y6SjzrqKFatWsWf//mfc+6553LMMcfsynaJiIiIiIiI7HbTXpN899138+1vf5tWq8Wzn/1snvrUp/K5z32O0dHRXdk+ERERERERkd2mq427TjzxRD7/+c+zcuVKzj//fG644Qb23ntv3vCGN9DpdHZVG0VERERERER2ixntbl2v1znrrLNYtmwZJ5xwAtdffz3NZnO22yYiIiIiIiKyW3VdJK9YsYKPfOQjHHbYYZx55pkcf/zx3H333cyfP39XtE9ERERERERkt5n2xl033HAD1157LT/+8Y950YtexFVXXcWpp55KFEW7sn0iIiIiIiIiu820i+QzzzyT/fffnwsuuIC99tqLBx98kKuvvnqr551//vmz2kARERERERGR3WXaRfL++++PMYbrrrtuu88xxqhIFhERERERkTlr2kXygw8+uAubISIiIiIiItJ7M9rdWkREREREROSP0bRHkv/xH/9xWs8766yzZtwYERERERERkV6adpF8zjnnMDAwQBzHhBC2+RxjjIpkERERERERmbOmXSQfddRRrFq1ij//8z/n3HPP5ZhjjtmV7RIRERERERHZ7aa9Jvnuu+/m29/+Nq1Wi2c/+9k89alP5XOf+xyjo6O7sn0iIiIiIiIiu01XG3edeOKJfP7zn2flypWcf/753HDDDey999684Q1voNPp7Ko2ioiIiIiIiOwWM9rdul6vc9ZZZ7Fs2TJOOOEErr/+eprN5my3TURERERERGS36rpIXrFiBR/5yEc47LDDOPPMMzn++OO5++67mT9//q5on4iIiIiIiMhuM+2Nu2644QauvfZafvzjH/OiF72Iq666ilNPPZUoinZl+0RERERERER2m2kXyWeeeSb7778/F1xwAXvttRcPPvggV1999VbPO//882e1gSIiIiIiIiK7y7SL5P333x9jDNddd912n2OMUZEsIiIiIiIic9a0i+QHH3xwFzZDREREREREpPdmtLu1iIiIiIiIyB+jaY8kt1otfvjDH3LaaacBcPHFF0+5N3IURVxxxRXUarXZb+UsMsCSKGbYWurWUo8iKvU6WbOJMQbXSXHGYJOYKI7xnZTcwDiBDc6xOs8JvX4Tc1TdGPaJY2rG0m8M1f5+QprhgyekGc57iCOiOMYALstoGUODwIo0pR0U+ZmwwOPimEFj6bOWehwTV6vk7TaEgE8zvDWYuOzzaUpO0efXO8ca9fkZWxxFLLARdWupWUt1YIBsfBxjLa7VwdnNck2a4oAxAqPeszLLFPedsCCKWGwjatZSN4bq4OCm2Lc7eGMwSUQUJ8W/AQJjBBoh8HCaKvYzNBH3irX0Y6gOlXGPij4/Je5Zhg9l3H3g4UxxnykD7BXHzDPluY2NqPT1kTUb2z632SzPb3Ce1bnyzc6Ykm827/fbyjeb9ftxH3hE/X7GppVv4jLueRH30RBohiLuvtdvYA4bjiL2mow9VIeG/mDsQwiMEmiFwEPp3Ij9tIvkr3zlK3z729+eLJI/+9nP8oQnPIF6vQ7Avffeyz777MMFF1ywa1o6iwaThOfOX0DS6hBXKriBOqFSJa5UCM6TNRpQSagODBB1MrJmk/HI8p9jI6zO8143f86yxnDEwBCHVaqEVpt4eD7tVotqkhCMwTWbeAK2UqXe10e+fiO5NSzPUx7NMlCRPCPGGAYrVZ47NEzS7pDUqmS1KtTqxEmCz3PyVguShNrAAKbdIW+1GbGG/xwfZY36/IzVopiTFyyi2kmJowg/bxAXxSTVKiFANjYKlYRK/wBx7sjGG7TjiB+Pj/KYiuSdkljLMxcupi/NiIEwPJ/URtRqNQKGzsgItpoQ1/uoYEhHRsmSiJ82xnlERfKMxdby9IWLGcwyIh9geD4dY6nV+wgGOhuLuEe1PqrWkm4cIU8iftYYV7Gwk+pxwnPmL6TSapNUEvKBfkKlUpzbeE82vtm5TZqRNZo0I8OPxkdZnWe9bv6cNiXfhFDmG0ut1keAyXwT1fuomqLfZ0nMTxtjrFC/n7HYWp62cDFDE/lm/vbyTZ1aFNHZUOSbm5sNHsnSXjd/TkuM5aSFi5mXZUTObxX7dOMIpox9NYpJN2wkjyNuaTd5KJ0bsZ92kfz1r3+d97///VMeu+666zj44IMB+NrXvsbVV1+9xxfJAViTdkiimEHfhtxR6+/HWYs1MY31I/T3D1AZ7IcA+eg4UeaIh+dRbYyx0BhaQCuEOXEVZE/S8J6N3jG/WqO5YYSBSpXMBCrVOu2N46TOMLBkId4HohBojDfp32sJ9Y5hHoZKGftUxXJXXAisylKSOGbQtTA+MK+vTkhi8IbmWJvBgSHivjqGQLZxFOchDPVTb4yxoIx7W32+a6uzlMha5gXI04yBgQFS74mTKuNrN9JX76c2PIT3Ht8cwbZT+vZ9HEkZ9zbQVNxnZE1WnPQPG0vaajE0OEA761Cp9zO+ZgO1ap36ovm43MF4A5odhg7Yl6TdmpLnXW/fxpyzJsvICQzbiHazwbzBQVpph2p/EfdqpUb/ogXkWY5ptQiNNkMHLCVut1hUxr1Jkbdk+gKwMu0QxRFDPuAzx/z+fnIL1iTbPbepDC+g2hjXuc1OWpNlhLLfp40GQxP9vq+P8bUbqVZq9C1agMtyTLMJZb9PWs3NYg9O5XJXVmcZKYFhG9NujDNvYJBWp73dfOMbLYYO2I+k3WbhxDEW5ZuZWJNnZASGo4R2Y7SIfXuz2Cc1+hcvIE9zTLtNGG8x76D9qKxqz5lcP+0i+b777uPoo4+e/L5Wq2HtpiXNJ5xwAu94xztmt3W7jMGEgPEBQyAxFlutQubwIyOY6kJMANduYawl+IAJgWFjmFer0V+tsd577hwd0QlUl4wxkDtsgAggSkhqNVrNVdBOiaKYbHyUuK9GAIL3xCGwfyWhFkXU6n3csXEja3XVu2sTfT4CYhsRqhG+2caPjWH7axjv8VlW9Pksw/jAfGuZX6vRV6uzOsv4f+Nj6vNdsgDlhZ8Yi69UiW1U5JoF87DGkjXGsVFM8AHvPPOMYaBWoy+p0LCWn2/cgMbzu2cM4AO2jH1cqRInMW7jRuzQAFEU09k4QiWOCd7jvac/wGHVGrUkIU8Sblm/DmWb6QtAIIAr+7wxxJUKSSXBbdxIPNBHFCe0N2ykWq2C94TgGcBwSLVGPUnwlQo/W7cOzaXonvEBPERRIDYWKjWM80W+qSzAYshaTUwUEbyHEJhnLEPluc2ID9w+ulF5fgZsAOM8NkCMIalUy36/gXignzhO6GzYSLVSIYSAD55BA4dWq9STBJdUuFn5pmsWwPkizxtDnFQ35Zv+epFv1m+gWqsRfCAETz9waJlvQplvNJ7fPWvMZOwTY8gqFZJqpYh9XxH71roN1Ov1os97Tx3KXB9DpcpP9+DYT3vjro0bN05Zg7xmzRoOPPDAye+991N+vsczBhPFmCgmTzPyVgeX5dhqlcrwMDaOMEmFUK3hI8uY9/yq3eaWVoubR0eYX6uxdHCo1+9i7jGGYAzEMcEY8nYb1+4QsCRDQ0S1GlFSxr5SISfwYKfDbe02P2s0eKDV5JhFi4mt9pzrmjEQxRBFuDQr1knlDlurkQwNYeMImySEahUfWTYEz6/aLW5utbhtdJSF9T727h/o9buYc4I1GBtDHOOyDNdq49IMk1SoLFiAjS02SaCMe5vAr9otbmm1+OnYKLUk4YB5w71+G3OTtRgbYeIEl+fFOvBOhkkSqgsWYCNLNBn7iA6Bu9tNbm63+On4GMEYDluwsNfvYk6xQMVYsBHEMT53RdzbKSaOJ+NukwQqVXwckQJ3t5rc0m7x/42PkQXPkQsW9PqtzE3GYKIIE22eb3JMpTy3iTbLN9YyFjblm5tHRxisVthP5zYzY8tjbBzjnSNvtYt8EydUF27KNxPH2KLft7il3eb/Gx/HAUcq33QtGAM2wkzkm/ZE3Mt8s9kxNkRlvmlvyjcd7xX3mTIUx9k4wZW53pe5vrJwPjaKJvv8ROzvabXK2I/T9J7HL1zU63exXdOuNJYuXcr/+3//b7s/v+uuu1i6dOmsNGqXMxRFWvk/nzkCBh8CeQi01q4tL4cHgnfF496Vz4am96xoNFhcqfT4jcw9oVzIH0IgOI93gYDBmUCnMV6sB8cU00+dxxGY2DbKAStaLWICfdG0J0HIhDgGQnE1L3eEcmpX7nLaG9YX/X3ic/EB5z2e4p/CmMtZ22mxqKo+351iQ7RgitzhylzjCDgDrTWrCYEy7mWuca74nmKK++/Hx9i7Wu31G5mbohgMBBPwWU4oBtlw1tBcs7qIcyhG730o+vzEzK80BO4fG2Vfxb5rIS7jDrgt4t5asxrvQ7FpoHd4D7n3+DLPZyFw/9iY4j4jZrNzmzL2GDwBR6C1bm15arNFn9/83KbZ4HGK/czEm/KNSyf6fSj7/Rq83+wYG8CV55dQ9vvxUeX6mYgijDUEQ5nnzWTcm2vX4F0RY+/LPh+K+MNE3MdYWlfcZyLYMvZsOsY6JnL9WrwrZquEiXwTwuSSgiwE7hsbZd/anhv7aRfJL33pS7n00ktpt9tb/azVarFs2TJOPfXUWW3cLuV8MbLmHD7PMKYsmTstTBSRtdtFAssd5K4s2AoBaOQZcaeD6eV7mINMeXIEAZ+lBO8wkcFnKZQHjCxN8d4X3+cOt9ksDA+0mw1qXqumuhJC2efZ1OctEDwh7YC1ZO1OcdLqXPGczfq8B5ppStRWn++GMRRxt6boz1mKMQFjwLebEMVkrTbee5xz4CYuDm2Kcss5klZbce+awThXxN55fJqCCRgLvtXExPGUPm+8x23W56EolKNmU/dK7EKgOFEt+vymuGMNvlX0+bzTwZU5xniHz/Mpeb4VPL7ZUty7FqDs88G5cvlM8bhvt4p80+6UF6GLfOOcm3JuM57n0Fa+mRFX9HPj/GSun9Lvy/NK5xzGuWLkbbNfb/uAUb/vXu4IZb5xWQZ4TBl3s3m+ycs8n7kpa7/bwePGG4r7TOSuONEpl+thQnFO3y5qqbzT2dTnvd8q12cE/Ph4sfxyDzTt4bgPfvCD3HDDDRxxxBG8853v5PDDDwfgN7/5DZ/97GfJ85wPfvCDu6yhsykNxeiZDx6fFweVuBxlA4Nvd8grFfCOJIpJDZjN/kEZKIo0FWpd887hvMd5T55lgCF4MBhC7nCtNnmeUw8QWVteZd0U+ygEKrnT5hZdM2XsAy7PiZwnwjAx3ONbHYKxWGuIbVSsiQp+s9+GqvcEnTp1JYTi6qr3njx3RHlezqQAYyy+3cH1O/Iso55UaW+RawCqrrhgJN0KxXRTD7l3ZHkOJiryjbH4dorLcrJOxsBgHWPKz2uzV0jKC0bKNtMXgNR5PAbnXZnnLYSAMZbQSXFpVvT5vn6M2bLHQ9UHrOLetQDFCLH3+OAxzhHHURl7g2+1cZUK3jmSKCI1xX4rm6s5D5HObboVgE6W4ShmRuRZNiXfhE6HPMvJ04x6rZ+mMVsdTSu+uGikft8dX85Ecc6Rp+lmcY8InQ4uzcjSlHrfQJHnJ+etFCo+YJRvZsQ7jzNFn8+yFIiKfZyw+DLXZ2lGX39UHmMn5icWEh+wzu+xsZ92kbzXXntx880385d/+ZdcdNFFhDKxGmN44QtfyDXXXMNee+21yxo6mzzgfSiupEZRsVFRuaA82AhjDJExZO0OuQ+YKAJjJz9EC+yVVFir24R0LYRA8MU/iGAtxoN3Od5GBGOwcYxtFbfhCs5joriYmleaF8ckwLhT0dCNiU3QQvAYE2HLDem8D+V0GUtkDK7dgTTDRtGUgjgxhkVxwqPq811xIZCFItcEYzCRLS5KOEewEdaYYgPETkqeO4y1YG05+bG4OLF3tcp6xX1GwkSsMUWedw7vckIUF0v0owiyjLzZwBg7OW1swt7VGhsU+64Fium8gaLPT4wghDgulrBFEaQZeaOBsaaM+yZ7V6uMKe4zsulcpuzzgclzG2ss1lpcs4nzAWOjyWnxUJzb7F2psE6x71qgGBULzhdrZCNbjK7lZb5hU77Jmg2MtcXns9lr7F2tMdJR7LsWKGYETRxjnSvzTQQU55Umy8kb42AsxtjN6zT2qVQZ1S0XZyRQLBULUJy/GDc118cxZHmxlNKYopbaLNB7V6qM7sH3q+5qdsFBBx3Ed7/7XdasWcOtt97Krbfeypo1a/jud787eSuouSK1BlPen9ckMURlwvI5LjggkPT1QRxhIltM5Sg/2b0GB5k3MMAjTvvNdisNARPFYCzWRpBYiGJM8HjvCN4RRTFRvU6wYGJbXnmCShRx2KLFPOo9c2iLuD1Gai2UF3xMEhGisijwOc6Xfb5ehzgq/z0YQihK5b0HB+nr6+Mx9fmueChGh5Ok2FBnItdEMfic3DsInqTeB3GMsRZnzORBZGFfP3vPm8eD2s29ax4YI2CSYpNAW8aeKAZXxD54R6VeLz4XW2wqOBH7ebUaBy9YyH26l2bXMjNxfLXFmvzIFus1XU4eHCH4ItdUEig3+Zq4ODFYqXL4wkUsV9xnJLXFPgiweZ+PCL6I/WS+SaLJAYCJTr+kf4AFg4M6t5mhtMz1oSzMQlz0/8l8EzyV2qZ8s/kF0aFqlUMXLuS36vdd60wcYymPsXE0mW9cmeeTWpFvjC0K6Ym4D1QqHLZoEffNkfv27mnSECZzvU0SiCeOsVmZbxyVWg1T5nqzWZ8fSCocvmgRv9mDYz+j3Y8WLFjACSecMNtt2a3ycqqLAUxcTjyNiqvZPhRrCI2JCOUUvCSpcFCtznxrGarV+eX4GGN78L299lS5MVBOKTXllVYb2SLOFFMxbJIUJ6wEoihicbXGsSGwJEkYyzJ+3dl6XbzsQCg2ipro80TFxR/KEZwQfHEVMN50slqvVjm01sd8a6hVqtzZGFef75ohtxO5JhQFQ54V66UwxQWgsnguNhD0VJKEA2t15lnDcK3G7aOjjCjuM5JZiw3lLf/iGPIME1s8YIp1HpgkoZisF6gkFQ6o1egPsKhW45ejI6xT7LuWUw4aBF+cvGYpJtos7oRiJ30DAUdSSdivWuOIqmFxtcpdo6OsDnvq2MIerNw0ZzLPxzET6zOn5PnI4rNi2mm1Wt3s3KbG7WOjjKrPz4gzBoPZ1O/zdLN8UywdM0ml2MgxeKIkZmm1xpE1w8JKhTtHR1inft+1PIQi7gRMnEDaKQZYgIntR20lKS+CeuJKhaXVGodXUb7ZSZvneuIYOmDjqDiLLDfGtEkFX05zT5JkMvZLqlXuGRvbo2P/p7tFcAgEYyHkxahOKNbxmABxUsWUa6hskmBaHareMWQtq9OUXzYaNPfgD3WPFop13wGK4iBOiuka3mOjGBMn+DQDY4iSCiF3DFvLuhC4c3yctS7fY6dl7MkmdvEtlg2UBUN5wDAYokq1HFGgSGiuQ9UHBq1hRZqysjFOSydOMxDAh2KkLJRLN8r78RICUaVWrFcLDhMnGGOJXM6wtazNUv67MU5TcZ+5UCwnYCL2m90bNq7UJvu8SYpRfJPnLLCWNWnKPRvXM659J2YmeLDFvWCNtcU9eUPxbyGq1IppvmTFrYpsBLljgY1YnXa4t9VgVHGfoeJYirXlppgRIRhCyDGBMs8Xs+JsXAE6RN4xXMZe5zY7yYdiJI2y39tN+aaI/US/n8g3bjLf/Lqpfj9j3kNiJ/MNUXHf++ADSVItckwo800UlXGPWJOm3NvaoLjvjMlaqox9HBOCLwYXK2XsSTFRhI0ijPcstBGr50js/ySLZB8CaZoSXI4vN9axSVzWbwaY2IEZXKtNcI71zRa/bIzT0QnrTmm5nE7WIQRf7IBaxr3YvKWIuwF8muKzjJBm3Ds+zq/bzV43fU5zIZBmKd5lGBMTMoetVgjBYIwpTmqLxWu4dpuQO9Y0GtyhPr9Tis1cUorzpIBPc4y1xaY6k7nGYwjkzRbBORqtDnc0xmnrZHWndbIUHxWjxD7NigsSPmDspjxvCPhmG5yj3e5we6O4d6PMXDPN8NjN4h7hfXkSVSwgxBDK46un1Wxxe2OMhuK+U1wo+3zuiiIhy4vlBlue2wRwrRY4x/pGk9sbY8rzs6CdpTiKc0yfZhg70e9Nsetv8MUNJlotgvO0W23uaIyr3++kVp4V+9qUcbeTed4WUyrK2StF3B1N5ZtZM5al+CiazPXWWLwPWFPm+vI8xpe1VKfV5peNcUbnyGakf5JFchYCN29cRx5VGDaW5qrHqFVruE4HR6A9Pk6WZXjvaec5o87z8w0NUh1EdtrD7Ta3rlvLQcbSWLeWepwQVxI6nQ7Ge8bXFfeozgi0fc6DG9fzYNrqdbPnvGbw/NeG9RwbJQznGbXVq6lVq8WtzoKnNTZG2mnjfKCdZ4z4wO3NVH1+JwXg1o3rsXGV+cbQemwltWq12HWZQKfZwIXiVjgdlzPuHHesW0NHBfKsuH1kA7VKjYXB0Fr5KLWkQvCePARot/Br1xSx945mcNy5dhUtnTjttNvHNlKv1FiEoV3GnRDIgyd02oyuXUNwno73NILjV+tW68LELMgJ3LxhPXlcYf52zm1yndvsMj8fLfr9wq36fSC0N+/3jkZw3LVW/X423D46Qr3aYZHZTr5Zs6Yo0HygETx3Kd/Mml+OjTLQSVkyGfsEgCx4fKezKfYh0AyeX61ZxdgcKZDhT7RIBngoz3k4z6kYQzU11DrN4p7I3kMnxWRtfAg0vScNgbnzke7Z2gR+kra5xRjitEV/HGOahpDnxajOeDHVuuM97XJnYB2+d14A7sszfpdnRZ/vtKh2YnyeF1PE2ikmtbgQaKnPz6qVzvEvrknFWCqdFvVOslmuAZN3CCHQ9IE0eLRlzuxZ4z3/1i5iH6ct+itJcVcD7yEF49Ii9iGQesV+tqz3nv/TblIxhjht0l+pFDugKu673MMu5xG3nXObts5tdqX1U/KN+v3usj4o3/TKxuD5j85msU8qBF/G3oMZm9ux76pIXrduHXfddRdPetKTWLBgAWvXruUf/uEf6HQ6vPa1r+Woo47aVe3cJQLQCYFOCIx2OlN/oKtMu1QWAhnQyrbYtVe3dtqlPNAOgXZw0Nks1urzu1SRa4pd2cc6W+zNnivuu9LmsW8o9rvN5PEVxX132+65DSj2u5jyTW8o3/TOlNinf1yxn3aRfNttt3HKKacwOjrK8PAwN954I6997WuJ4xjvPR/96Ef56U9/ylOe8pRd2V4RERERERGRXWba90n+0Ic+xGtf+1pGRkb44Ac/yOmnn87zn/98fvvb33Lfffdx5plncsUVV+zKtoqIiIiIiIjsUtMukm+//XYuvPBCBgcHede73sWjjz7Km9/85smfv/Od7+TnP//5LmmkiIiIiIiIyO4w7SI5TVPq9ToASZLQ19fHokWLJn++aNEi1q1bN/stFBEREREREdlNpl0k77fffvzud7+b/P76669n7733nvx+5cqVU4pmERERERERkblm2ht3nXnmmaxevXry+1NPPXXKz//93/+dE044YfZaJiIiIiIiIrKbTbtI/vCHP/wHf/6hD32IKIp2ukEiIiIiIiIivdLVfZJHR0f5r//6L9I05YQTTmDx4sWTP+vr65v1xomIiIiIiIjsTtMuku+8805e+tKXsmrVKkIIDA4OcsMNN/CiF71oV7ZPREREREREZLeZ9sZdH/jABzjooIP46U9/yu23387zn/983vnOd+7KtomIiIiIiIjsVtMeSb799tv5/ve/z1Oe8hQAvvSlL7FgwQJGR0cZGhraZQ0UERERERER2V2mPZK8fv16li5dOvn98PAw/f39ujeyiIiIiIiI/NHoauOue+65h8cee2zy+xACv/71rxkbG5t87Jhjjpm91omIiIiIiIjsRl0Vyc9//vMJIUx57LTTTsMYQwgBYwzOuVltoIiIiIiIiMjuMu0i+YEHHtiV7RARERERERHpuWkXyQcccMCubIeIiIiIiIhIz3U13Rpg+fLl/Nu//RsPPvggxhgOOuggTj/9dA4++OBd0T4RERERERGR3aarIvnKK6/k0ksvxXvPkiVLCCGwZs0aLrroIj7ykY/w3ve+d1e1U0RERERERGSXm/YtoH70ox/x13/913zoQx9i7dq1rFy5kscee2yySL7ooov4yU9+sivbKiIiIiIiIrJLTXsk+e/+7u8477zzuOyyy6Y8vmDBAi6//HIee+wxPve5z/HsZz97ttsoIiIiIiIisltMeyT5tttu441vfON2f/7GN76RW2+9dVYaJSIiIiIiItIL0y6SV61axYEHHrjdnx900EE89thjs9EmERERERERkZ6YdpHcbrepVCrb/XmSJKRpOiuNEhEREREREemFrna3/uIXv8jAwMA2fzY2NjYrDRIRERERERHplWkXyfvvvz9f+MIXdvgcERERERERkblq2kXygw8+uAubISIiIiIiItJ7016TLCIiIiIiIvLHrqsi+de//jXXXnst9957LwD33nsvf/mXf8m5557LTTfdtEsaKCIiIiIiIrK7THu69Xe/+11e8YpXMDAwQLPZ5Fvf+hZnnXUWT3rSk/Dec8opp/D973+f5z3vebuyvSIiIiIiIiK7zLRHki+//HLe9773sW7dOq699lr+7M/+jDe/+c3ceOON/PCHP+R973sfH/3oR3dlW0VERERERER2qWkXyXfffTfnnHMOAGeccQZjY2O85jWvmfz5G97wBu66665Zb6CIiIiIiIjI7tLVmmRjTPFL1lKr1Zg3b97kzwYHBxkZGZnd1omIiIiIiIjsRtMukg888ECWL18++f0tt9wy5b7IDz30EHvvvffstk5ERERERERkN5r2xl1/+Zd/iXNu8vsnPvGJU37+ne98R5t2iYiIiIiIyJw27SL5bW972x/8+Uc+8pFp/9EQwrSfK1ubafwU952n2PfOTGKouO889fneUZ/vDfX53lHse0Nx7x3Fvnd2FMOu1iTPlrGxsV782T8aM42f4r7zFPvemUkMFfedpz7fO+rzvaE+3zuKfW8o7r2j2PfOjmJoQg8uRXjvefTRRxkcHJzcDEx2LITA2NgY++yzD9Z2f31DcZ85xb53dib2ivvMqc/3jvp8b6jP945i3xuKe+8o9r0z3dj3pEgWERERERER2RP1ZLq1iIiIiIiIyJ5IRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhISUWyiIiIiIiISElFsoiIiIiIiEhJRbKIiIiIiIhIKe7FH/Xe8+ijjzI4OIgxphdNmJNCCIyNjbHPPvtgbffXNxT3mVPse2dnYq+4z5z6fO+oz/eG+nzvKPa9obj3jmLfO9OOfeiBhx9+OAD6muHXww8/rLgr9n9yXzOJveLem7gr9r2LveLem7gr9or9XP5S3BX7P8WvHcW+J9OtBwcHe/Fn/2jMNH6K+85T7HtnJjFU3Hee+nzvqM/3hvp87yj2vaG4945i3zs7iuGMiuQDDzyQyy+/nIceemhGjdK0gJ0z0/gp7jtPse+dmcRQcd956vO9oz7fG+rzvaPY94bi3juKfe/sKIYzKpLf/e538y//8i8cfPDBvPCFL+T666+n0+nMqIEiIiIiIiIie4oZF8l33nknt912G0cddRR/9Vd/xd5778073/lO7rjjjtluo4iIiIiIiMhusVNrkp/ylKfw6U9/mkcffZQPf/jDfPGLX+T444/n2GOP5Utf+hIhhNlqp4iIiIiIiMgut1O3gMqyjG9961tce+213HjjjZx00kn8xV/8BY888ggf/OAH+cEPfsB11103W20VERERERER2aVmVCTfcccdXHvttfzTP/0T1lrOOussPvnJT3LkkUdOPueVr3wlxx9//Kw1VERERERERGRXm1GRfPzxx/PCF76Qz33uc5x++ukkSbLVcw466CDOPPPMnW6giIiIiIiIyO4yoyL5d7/7HQcccMAffE5/fz/XXnvtjBolIiIiIiIi0gsz2rhrRwWyiIiIiIiIyFw0o5Fk5xyf/OQnueGGG3jooYdI03TKz9evXz8rjRMRERERERHZnWY0krxs2TI+8YlP8LrXvY6RkREuvPBCXvWqV2Gt5bLLLpvlJoqIiIiIiIjsHjMqkr/+9a/zhS98gfe85z3EcczrX/96vvjFL3LppZdy6623znYbRURERERERHaLGRXJjz32GEcffTQAAwMDjIyMAHDaaafx7W9/e/ZaJyIiIiIiIrIbzahIXrp0KStXrgTgkEMO4fvf/z4AP//5z6lWq7PXOhEREREREZHdaEZF8itf+Up++MMfAvBXf/VXXHLJJRx22GGcddZZnHvuubPaQBEREREREZHdZUa7W3/0ox+d/O/Xve51HHDAAdx8880cdthhvOxlL5u1xomIiIiIiIjsTl0XyVmW8da3vpVLLrmEgw46CICTTjqJk046adYbJyIiIiIiIrI7dT3dOkkS/vf//t+7oi0iIiIiIiIiPTWjNcmnn346//qv/zrLTRERERERERHprRmtST7ssMO4/PLL+dnPfsZxxx1Hf3//lJ+ff/75s9I4ERERERERkd1pRkXyP/zDPzA8PMztt9/O7bffPuVnxhgVySIiIiIiIjInzahIfuCBB2a7HSIiIiIiIiI9N6M1yZv72c9+RqfTmY22iIiIiIiIiPTUThfJL3nJS1ixYsVstEVERERERESkp3a6SA4hzEY7RERERERERHpup4tkERERERERkT8WM9q4a3Of//zn2WuvvWajLbtFDCyJY+bZiLox1CtVbGRxaQre47KcEFlsHGONwec5HaBBYG3u2OByNHY+M3Vj2CeOqRlLvzFU+/sJaYYPnpBmOO8hjojiGAO4LKNlDA0CK9KUtmYtzIgFHhfHDBpLn7XU45i4WiVvtyEEfJrhrcHEMVEc49OUHBgnsN451uTq8zORUOSaQWvpM5Z6pYKNoqm5xlpsEmOtxWcZHQKNAGtdzgbnFPedsCCKWGwjatZSN4bq4CDZ+DjGWly7gzcGk0REcVL8GyAwRqARAg+nqWI/QxNxr1hLP4bqUBn3yOJaW8Q9y/ChjLsPPJwp7jNlgL3imHnGUreWuo2o9PWRNRsYY3CdFGcMNtk6z29wntV5ptjvhCn5ZvN+v618s1m/H/eBR9TvZ2xa+SYu454XcR8NgWYo4u57/QbmsOEoYq/J2EN1aOgPxj6EwCiBVgg8lM6N2O9UkXzfffexcOFCrC0GpEMIGGNmpWG7ijWGvWt1nto3QC3LsfUaeRxhnCNKElyng0tTTKVCpV7HtDvknZSVwXNrY4wNLu/1W5izrDEcMTDEYZUqodUmHp5Pu9WimiQEY3DNJp6ArVSp9/WRr99Ibg3L85RHswxUJM+IMYbBSpXnDg2TtDsktSpZrQq1OnGS4POcvNWCJKE2MFD0+VabEWv4z/FR1uTq8zNhjOFxk7kmw9br5EmEybfONdW+PkyrTdZJWYXn5vExNjjX67cwpyXW8syFi+lLM2IgDM8ntRG1Wo2AoTMygq0mxPU+KhjSkVGyJOKnjXEeUZE8Y7G1PH3hYgazjMgHGJ5Px1hq9T6Cgc7GIu5RrY+qtaQbR8iTiJ81xlUs7KR6nPCc+QuptNoklYR8oJ9QqRBXKgTvycYbUEmoDgwQpRlZo0kzMvxofJTVedbr5s9pU/JNCGW+sdRqfQSYzDdRvY+qKfp9lsT8tDHGCvX7GYut5WkLFzM0kW/mby/f1KlFEZ0NRb65udngkSztdfPntMRYTlq4mHlZRuT8VrFPN45gythXo5h0w0byOOKWdpOH0rkR+xkVyevWreN1r3sdN910E8YYli9fzsEHH8xf/MVfMH/+fK666qrZbuesSUNgNM+p2Ih+lxLZiKivDs7jc08nC1QGh4hqNXA5WatDiGIG++r0txrMN4YW0AlhTlwF2ZM0vGejd8yv1mhuGGGgUiUzgUq1TnvjOKkzDCxZiPeBKAQa403691pCvWOYh6FSxj5VsdwVFwKrspQkjhl0LYwPzOurE5IYvKE51mZwYIi4r44hkG0cxXkIQ/3UG2MsKOPeVp/vShoCG7OMShTR30qJjCWq18F7fBZop22qg0NEtSrGe9JWp8hL9Rr9TeWanbUmK076h40lbbUYGhygnXWo1PsZX7OBWrVOfdF8XO5gvAHNDkMH7EvSbrGwjH0rBHSpojtrsoycwLCNaDcbzBscpJV2qPYXca9WavQvWkCe5ZhWi9BoM3TAUuJ2i0Vl3JsUeUumLwAr0w5RHDHkAz5zzO/vJ7dgTUJj/Qj9/QNUBvshQD46TpQ5KsMLqDbGp/R55ZvurckyQtnv00aDoYl+39fH+NqNVCs1+hYtwGU5ptmEst8nreZmsQfNH+rO6iwjJTBsY9qNceYNDNLqtLebb3yjxdAB+5G02yw0hjbKNzO1Js/ICAxHCe3GaBH79maxT2r0L15AnuaYdpsw3mLeQftRWdWeM7l+RmuSL7jgAuI45qGHHqKvr2/y8de97nV897vfnbXG7TIGCAFTFmOxjUiqFUye48fHsQHIc0KWY6wlBI/1jkXW8vhanWfMG+awvn6iXr+POcgYA7nDBoiAJEpIajVCswHNFlEU45otjCkO+sF74hDYv5LwpL4+nrNwEYvipNdvY04yE30eiG1EXK1hQ8CPjWFDwHiP76RFn/ce4wPzreXIWo1nDM/n6IFB9fku+RDKuPvJuCeVKtblhMlc4whZVuaaQAIsnMg1w/M5vH9AcZ8hYwAfsCEQY4krVeIkxm3cCFlGFMXk4+PYOCJ4j/ee/gCHVWucMDDIMxYsRNmmOwEIBHDl8dUY4kqFpJJsinuclHGPwXtC8AxgOKRa4/iBQZ61YCEJe/astD2V8QE8RARiY4krNSJr8CMjGOewGFyrhYmKPk8IzDOWw2s1nj5vmKcODSvfzJANYJzHBogxJJVq2e83QJYRb9bvQwj44Bk0cGi1ygkDAzxzwQLlmxmwAM4Xed4Y4qS6Kd+kaZFvxsaKuPtACJ5+4NAy3zx7wUIqyjczYo2ZjH0ykeurlSmxz8bGiCb6vPfUocz1A5y8h8d+RiPJ3//+9/ne977H0qVLpzx+2GGH8fvf/35WGrYrGWPAGrARlGsBCRBcIO7rJx7oJ7icYAx5kuDKdZn/3W4x7hxLvOPgoXmMAiubjV6/nbnFGIIxEMdFfNttojghYEmGihH8qNnAJBVCpUJO4MFOh9vabSLgYOCYRYv5yerHyL2ud3fFGIhiiCJcmhG8J+QOW6uRDA1BKMbMXLWKzx0bgudX7RZjzjGUZhy3YCF7h8AjjfEev5G5IzYWrC3ibiwuzTCAd56or49kYADvMoK1hEqGz3LW5Bl3lXFf7HKOGBpmJATlmpmwFmMjTJzg8hzX6uBMjEkSqgsWYCNLlCRQqeCjiA6Bu9tN1mYZlU6bExcs5LAFC7ln/bpev5M5wwIVY4v/iGN87oq4RxVMHE/G3SYJVKr4OCIF7m41WZ2lJJ02J8yfz5ELFvArxb17xmCiCBNFuCzDtdsYLKZSpTI8jI0MNknwGHyjxXgIZZ7P6et0OGnhIvYbHOLBsdFev5O5x5bH2DjGO0feahNHCSZOqC7clG9CtYqPbNnvW2W/73Di/AUcuWCh+n2XginO581Evmm3cUl1U76Jy3xTrRKiMt+0m6xKi3xz/PB8jlywkLvWr+31W5l7DMVxNk5wZa73SYqJYyoL52OjaLLPT8T+nlaLx9IOScdw3HDC4xcu4s51a3r9TrZpRiPJjUZjygjyhPXr11OtVne6UbtaMBYTRWDA+2KatQ/gDKSdFunYWHm1qbjq4b3Hl1OQPLA+TWlnGUOxrrd2K5QL+UMIBOfxLhAwOBPoNMbJGg3AFDF3HkdgYtsoB6xotYgJ9EU7vefcn544Bsp+nTtCObUrdzntDeshhE2fiw847/EUI0NjLmdtp8WiaqXHb2KOsQaiCEyY7NOeoi9nnTad0dEpucaVXxNx35hlNLKU4Vj9fUaiGAwEE/BZTigG2XDW0FyzuujvIRSfSyj6/MTMrzQE7h8bZd85cEzb04S4jDsUG9RtFvfWmtV4H4pNA73De8i9x5d5PguB+8fGFPcZKS9AF2P5RewxeAKOQGvd2mKkf8s+Xz6/6T0rmg0ep9jPTLwp37h0ot+Hst+vwfvNjrEBnHf4sFm/Hx9lb8W+e1GEsYZgKPO8mYx7c+0avCtiPHEu70IRf5iI+xhL64r7TARbxp5Nx1jHRK5fi3fFbJUwkW9CmFxSkIXAfWOj7Fvbc2M/oyL5Wc96Fv/4j/84+b0xRVHz8Y9/nOc+97mz1rhdxYTA5L+Q3BFcjrGAzwl58SHnWYZzjuB8sV7Zb1qbFoAs7RCVo0IyfaY8OYKAz1KCd5jI4LMUygNGlqZ474vvc4fbbLmCB9rNBjWNIncnBHC+uOrnHD7Pij4fPCHtgLVk7U5x0upc8RznJ/u8B5ppStTuqM93wTu/Kde4vMg1xVBykWuAPEvLXFPG3W+Kex4C7SzFZKni3jWDca64UOE8Pk3BBIwF32pi4nhKnzfe4zbr81AUylGzqXsldiFQnKhiTbH+vow71uBbTYhi8k4HV+YY4x0+z6fk+Vbw+GZLce9agLLPB+fwWZnnCfh2C6KJPu/LPO9xzk05txnPc2i3lW9mwhX93DiPz1LMlv2+3cZ5h3MO41wx8rbZr7d9wKjfdy93hDLfuCwDPKaMu9k83+Rlns/clLXf7eBx4w3FfSZyV8xS9L6YlWtCcU7fLpZ05J3Opj7v/Va5PiPgx8f32CUeMxqe+PjHP87zn/98fvGLX5CmKe9///u5++67Wb9+PT/72c9mu42zzrviA3PB4/OMKIkxwVBchgr4TkrwMXEcE1tL7vIpicyEQOw8ujFO97xzk6NleZYBhuDBYAi5w7Xa5HlOPUBkbXmVdVOcoxCo5E6bW3TNlLEPuDwncp4Iw8Rwj291CMZirSG2ERlA8Jv9NlS9J+jUqSstwmSf93lOFCfYiRiGgO90CD4hTspcA1MiHAEV55kb+0DuaUIx3dRD7h1ZnoOJinxjLL6d4rKcrJMxMFgv9kHYYtOipLxwoWwzfQFIncdjcN6Ved4W+4AYS+ikuDQjzzLqff0YY7aKb9UHrOLetUBxYa4YMfMY54jjqIy9wbfauEoF7xxJFJGaYs+EzdWch0gXobsVgE6W4ShmRuRZNiXfhE6HPMvJ04x6rZ+mMVsdTSu+uGikft8dX85Ecc6Rp+lmcY8InQ4uzcjSlHrfQLnfjZ8S44oPGOWbGfHO40zR57MsBSKCDxgsvsz1WZrR1x+Vx9iJeXKFxAes83ts7Gd04eSJT3wiv/3tb3nmM5/JK17xChqNBq961av45S9/ySGHHDLbbZx9odgQKnhfXPWzpti0Bco1bBYL+HYblxUbGbHZra1qNqJuLa1c/6i6FUIoYg8Ea4uTVZfjbUQwprg/tfdkjQbBeUwUF1PzSvPimAQY1+1xujKxCVoojhxYawk+FNO/bISxlsgYfLuD67SxUTSlIE6MYVGcMKZ7JndtYooXpsg1+GKqVzBmU65ptXFpio2m5pqqtQxYS0txn5EQigtzgSLWAN7lhCguluhHEWQZebOBMXZy2tiEvas1Nuh2UF0L5cWhgMFEtijQ8pwQx8UStiiCNCNvNDATx+DNfn/vapUxxX1GJpZuTOSXEIocFGyENbbI/Z1OsXmXjSanxUNxQrh3pcKoYt+1QDEqFpwr1shGZb7Jy3zDpnyTNRuY8lxzar+vMdJR7LtW5nlvinwDZdzjCCjOK02WkzfGwRTnnZsHeZ9KldFM9wmfiTDR56GslZia6+MYsrxYSmkMGDvlbq57V6qM7sH3q57xQrd58+bxoQ99aDbbstu0DaTWFmsFy8X+lOuLvcvx3hFXYkxcbGBUXOn2hBCIjGXpvHnYEFjXbvX4ncw9aQiYchMjayN8AkQxJnicdwTviKKYqF4n2A3Y2JZXnqASRRy2aDGPbthAp7dvY06a7PPGYpKIEJVFgc9x3hERSOp1Ml8sMTDWFPc+B/YeHKSvUuWxVrPXb2NuMYbMlnsg2AiSiBCVV1S9K3JNkmBrNdLcFSdNZiLXGPabNw8wrFWu6ZoHxgjsncSEjsEmcTEDJYrB5eTeELyjUq9j4qiYomrM5AF8Xq3GwQsW8qNHH+np+5iLMmMwSVzs/xHHxQXpuIy7LUYTknodKgkYCzaavDgxWKly+MJF/HjFih6/i7kptWYy5jaJi40DQ0TwOXlwJMGT1PvwaRuTF8eDiU6/pH+ABQMD/PfqVT1+F3NTasAkCaHVwcYxefDF+aXLyaOi31dqdUwSl5vH2sl+P1StcujChfxI/b5rnTLuUOQdNss3rjzWJrUi3xhbXMCYiPtApcJhixbxE8V9RtIQio12TbE5mvOuPMZm5CaC4KjUapgy15vN+vxAUuHwRYv4//bg2M+oSL722msZGBjgta997ZTHv/GNb9BsNjn77LNnpXG7ysQGIoZyp+uyWJi4mh3wxY6o1hBMwFjLvKTCkfU+hkwx0vPrVpOxPfjeXnuq3BgwYAjFFT/vsZElTNzyKfhiF8JyRCeKIhZXaxwbAkuShLEs49eddq/fxtwTAq4IfTE+HEVF/Cf6fPDFVcB408lqvVrl0Fof862hVqlyZ2Ncfb5LATbFfXLXWVueHBWjPiYqLl4EE8BAf6XCEfU+hm2EtRF3K+4zllmLDaa4DVccQ55hYosHTLHOA5MkFJP1ApWkwgG1Gv0BFtVq/HJ0hHWKfddyykGD4IuT1yzFRJvFnYBNkjLvO5JKwn7VGkdUDYurVe4aHWV12FPHFvZg5aY5k3k+jplYnzklz0cWnxXnOtVqlYNqdeZby1Ctxu1jo4yqz8+IMwaD2dTv83SzfFOcXRYFRXEboiiJWVqtcWTNsLBS4c7REdap33ctD6GIOwETJ5B2MHFxjJ3YBtNWkvIiqCeuVFharXF4FeWbnbR5rieOoUNxS0WY3AzWJhV8Oc09SZLJ2C+pVrlnbGyPjv2MiuQrr7ySz3/+81s9vmTJEt7ylrfs8UXyhFBOayxGeezkAcTGlXLKo8FGMS4E6j5QAR7stFndGKOtg8jMhEBRIlNMP42TYrqG99goxsQJPs3AGKKkQsgdw9ayLgTuHB9nrcv32GkZe7KJXXwxxVU8E8fF7biCx2CIKtVyRIEiobkOVR8YtIYVacrKxjgt9fnuhWL39mI8PpS76pdxNxabTOQasFGCC566D1Qx/L7d4rHxUeWanRGK5QSEMvab3Rs2rtQm+7xJ4mL6Y56zwFrWpCn3bFzPuDYInJngwVaKi0DlTIpQbpgZVWrFNF+y4qKRjSB3LLARq9MO97YajCruMxTKZWS23BQzIgRDCDkmUOb5/7+9u4mNql7jOP4789ZB2qs3VRpYUNFI0gQMMWnsxtYENbELdiayYWNSN74klQUkbqTGlw0LViZNcCsmmFxhYYzGVM313piitFeB5KpYCFxpaaHTmTmv//9dnGGgoBd65nQO9X4/SRdzpp0+efLkmXnmnP//OJK18eccecqbSPc1cv9dtaraXfyB9a5nrFTISWrUfe56v4lzf63ur/WbqNlvTtWo+8SMkYq5Zr9RvtBYUmlVLHbEPcYGzVujOY1+M+v7Ol1fIO+tsFa2cTVKfKKlIGvjq+GKpUbu5cvJ55XL5+UYo+5cXpfWSO4TDckzMzPasmXLLcd7e3s1MzPTclCrLTSRwsCXjUKZqBCvfXVy8fqpxhuI07jO3vi+jBxd8COdrFXl8YG1JfUolBd4stbEO6AWC4qXazbWAjYu7zW+LxMEsn6g00tLOuVymW8rImvlB75MFMhxCrJBpFxHSdZeq3nTWMBpFLmubBhptlrVieoSNd+CeAMXX9aEMqYgGxo5pcY+jo6aebdhJON7Mla6EHg6WSPvafACXyYfnyU2fhD3eWPjS+6a/cbK1FwpiuS6niarS6rd5W/cd7uaH8god0Pe8zKm8SFKcZ9xZBXVXdnIqF6ra7JaUZW8tySyjZoPo3hICML4snerxpdxjbtLWCmq16Uo0ny1pslqhX6TAjfwFUnxLUP9QE7uWt078a6/1sQ3mKjXZSMjt+7qRHWJum9RPQzifW0aec81+3zu+vusbCPvkWr0m9RUAl8mn2/2+pyTkzFWOafR6xtfupm6KxtF8uquvqsuadGsjX2FEg3JGzZs0NTUlB588MFlx0+ePKnu7u404lpVC0Gg765ckZ8v6C9RqLLvq1QsKHQ9RVEoVa7Kq8XrSbwg1G/G6FToy+dNpGXnXFf/uDynLU5O1ctzWlcoqlAqyvM8OcZo6fKcZOMNMFwT6uyVeZ31WY/Zqpo1+ufCvHbki7ovDFS+dEnljg4FrqvIGtUrFfmeq8hYuWGgq8ZqskbNt2o+DDR5dUHbcgXdG4Uq+55KxVLzViD1xcXG2jUrNwg0Z4x+pNekZvLqgsqlsrqto/rFCyoXS7LGKLRWcusyc7MykZFnItVspO/nflOdD04tm6xc0bpSWffLkdvIu6xVaI2s52pxblY2MvKMUdVGmr58iS8mUhDK6u8L8woLJf3Vyan2239U7igr8jxFsnKXlhQGgYwxcsNQi5HRtwtV+k1Kvl2M6777lrq3su6NdR+paiNNzVH3aZhcvKp1HZ7ud/6g38zOxgOasapaoyn6TWq+qyyq0/O1oZn7oiQpsEbG867n3lrVrNH07G+qrJEBWUo4JO/evVuvvPKKurq6NDg4KEmamJjQq6++queffz7VAFdDIOlfoa9Toa+i46js5VXM5+L7lBor1QI5jtMY1Iz8m24LguRcWX3pu/rGcVTw61pfKMipObJhGJ/VWYovtfaMkWutAnvjXrNIykr6dxjo5zBQyXHU4dXV4RVkwjCuedeX4+cUWat6o+bXThu7e0WSfgx8nVHcazq8nEr5/PVeUw/k5ByFN+SdXpOeWWP0N7emkpOL+02pGN8f1hjJl5zIl7VWNWvlG6Mw64D/JOaN0TG3ppLjqODXtL5UindAJe+r7lwU6nwUxn3ed1T2ajJho+ZdX07gylirGn0+dfPL+g113y7zln6TlSvW6Lh3Q+6LJVnTyL2RnMrazn2iIXlsbExnz57Vzp07VSjEL2GM0Z49e/TWW2+lGuBqihRfhupGoZa9UzCVrbrAWgWS6kGw/Alu7bSqjCTXWrk2krwbcm0Vf4jCqrjea6LlNR7vLIJVZCV51siTVPVu2hc/JPmrJc67Je8ZaObeWi2S+7ai32SDfpOdZbn3/1y5TzQkl0olHTlyRGNjYzp58qTWrVun7du3q7e3N+34AAAAAABom8T3SZakrVu3auvWrWnFAgAAAABAphIPyefPn9fHH3+smZkZ+b6/7LmDBw+2HBgAAAAAAO2WaEj+/PPPtWvXLj300EM6ffq0tm3bprNnz8paq8ceeyztGAEAAAAAaItckj/av3+/9u7dq+npaZXLZR09elTnzp3T0NCQnnvuubRjBAAAAACgLRINyadOndKePXskSYVCQfV6XZ2dnTpw4IDefffdVAMEAAAAAKBdEg3J69evb65D3rhxo3766afmc3Nzc+lEBgAAAABAmyVakzwwMKCvv/5afX19Gh4e1muvvabp6Wl99NFHGhgYSDtGAAAAAADaItGQfPDgQS0tLUmS3njjDS0tLenIkSN65JFH2NkaAAAAALBm3fGQfOjQIY2MjKhcLqtQKGj79u2S4kuv33vvvVULEAAAAACAdrnjNcmjo6NaXFyUJG3ZskWzs7OrFhQAAAAAAFm44zPJmzZt0tGjRzU8PCxrrc6fPy/XdX/3dzdv3pxagAAAAAAAtMsdD8mvv/66Xn75Zb300ktyHEf9/f23/I61Vo7jKIqiVIMEAAAAAKAd7nhIHhkZ0e7du/Xrr7/q0Ucf1Weffabu7u7VjA0AAAAAgLZa0e7WXV1d6uvr0/vvv6++vj5t3LhxteICAAAAAKDt7njjrmvy+bxefPHFP1yPDAAAAADAWrXiIVmStm3bpp9//jntWAAAAAAAyFSiIfnNN9/U3r17dfz4cV28eFGLi4vLfgAAAAAAWItWtCb5muHhYUnSrl275DhO8zi7WwMAAAAA1rJEQ/IXX3yRdhwAAAAAAGQu0ZA8NDSUdhwAAAAAAGQu0ZD85Zdf/s/nBwcHEwUDAAAAAECWEg3JTz755C3HblybzJpkAAAAAMBalGh364WFhWU/ly5d0ieffKL+/n59+umnaccIAAAAAEBbJDqTfO+9995y7Omnn1apVNLo6KgmJydbDgwAAAAAgHZLdCb5j/T09OjMmTNpviQAAAAAAG2T6Ezy1NTUssfWWl28eFHvvPOOduzYkUZcAAAAAAC0XaIheceOHXIcR9baZccHBgZ0+PDhVAIDAAAAAKDdEg3Jv/zyy7LHuVxODzzwgMrlcipBAQAAAACQhRWtSf7mm290/Phx9fb2Nn8mJiY0ODiozZs3a2RkRJ7nrVasAAAAAACsqhUNyQcOHNAPP/zQfDw9Pa0XXnhBTz31lPbt26djx47p7bffTj1IAAAAAADaYUVD8vfff6+dO3c2H3/wwQd6/PHHNT4+rtHRUR06dEgffvhh6kECAAAAANAOKxqSFxYW1NPT03w8MTGhZ599tvm4v79f586dSy86AAAAAADaaEVDck9PT3PTLt/3deLECQ0MDDSfr1QqKhaL6UYIAAAAAECbrGhIHh4e1r59+/TVV19p//79uueee/TEE080n5+amtLDDz9829e5+dZRWJmk+SPvrSP32UmSQ/LeOmo+O9R8Nqj57JD7bJD37JD77NwuhysaksfGxlQoFDQ0NKTx8XGNj4+rVCo1nz98+LCeeeaZ275OpVJZyb/FTZLmj7y3jtxnJ0kOyXvrqPnsUPPZoOazQ+6zQd6zQ+6zc7scOjbBVxFXr15VZ2en8vn8suPz8/Pq7OxcNjj/HmOMLly4oK6uLjmOs9J//3/LWqtKpaJNmzYpl1vR9xuSyHsryH12Wsk9eU+Oms8ONZ8Naj475D4b5D075D47d5r7REMyAAAAAAB/Riv/6gIAAAAAgD8phmQAAAAAABoYkgEAAAAAaGBIBgAAAACggSEZAAAAAIAGhmQAAAAAABoYkgEAAAAAaPgvoz5icXa7Fe0AAAAASUVORK5CYII=", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "key = jax.random.PRNGKey(0)\n", + "\n", + "apply_vec = jax.vmap(lambda pose, vertices: pose.apply(vertices), (0, None))\n", + "num_samples = 10\n", + "for dist_ind, distance in enumerate(distances):\n", + " fig, axes = plt.subplots(\n", + " len(models), num_samples, figsize=(num_samples + 2, len(models) + 1)\n", + " )\n", + " fig.suptitle(\n", + " \"Posterior samples - distance: \" + str(distance + cam_y_distance) + \" (m)\",\n", + " fontsize=12,\n", + " )\n", + "\n", + " point1 = jnp.array([dist_min, distance, 0])\n", + " point2 = jnp.array([dist_max, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + "\n", + " rgbd_gt = render_rgbd_many(\n", + " renderers[0],\n", + " jnp.array(\n", + " [linear_poses[len(linear_poses) // 2].apply(object_library.vertices)]\n", + " ),\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " rgb_gt = rgbd_gt[0, ..., :3]\n", + "\n", + " for model_ind, _ in enumerate(models):\n", + " scores = model_scores[model_ind, dist_ind]\n", + "\n", + " samples = jax.random.categorical(key, scores, shape=(num_samples,))\n", + "\n", + " rgbd_im = render_rgbd_many(\n", + " renderers[0],\n", + " apply_vec(linear_poses[samples], jnp.array(object_library.vertices)),\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (num_samples, 1, 1)),\n", + " )\n", + "\n", + " for i in range(len(samples)):\n", + " axes[model_ind, i].imshow((rgbd_im[i, ..., :3] + rgb_gt) / 2)\n", + " # axes[model_ind, i].axis('off')\n", + " axes[model_ind, i].tick_params(\n", + " left=False, labelleft=False, bottom=False, labelbottom=False\n", + " )\n", + "\n", + " for ax, row in zip(axes[:, 0], model_names):\n", + " ax.set_ylabel(row, rotation=90)\n", + " ax.tick_params(left=False, labelleft=False, bottom=False, labelbottom=False)\n", + " # fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for dist_ind, distance in enumerate(distances):\n", + " plt.figure()\n", + " plt.title(\n", + " \"conditioned image: \\ndistance: \" + str(distance + cam_y_distance) + \" (m)\",\n", + " fontsize=20,\n", + " )\n", + " plt.imshow(gt_images[dist_ind])\n", + " plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/far_posterior_likelihood_lowres.ipynb b/notebooks/bayes3d_paper/far_posterior_likelihood_lowres.ipynb new file mode 100644 index 00000000..0070a0e2 --- /dev/null +++ b/notebooks/bayes3d_paper/far_posterior_likelihood_lowres.ipynb @@ -0,0 +1,492 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d\n", + "import jax.numpy as jnp\n", + "import os\n", + "from b3d import Mesh, Pose\n", + "import jax\n", + "import genjax\n", + "from genjax import Pytree\n", + "import rerun as rr\n", + "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", + "import matplotlib.pyplot as plt\n", + "from functools import partial\n", + "import importlib\n", + "import trimesh\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## L2 distance test\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\") # type: ignore" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0) # type: ignore\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)\n", + "\n", + "# set to 0 for low-res, 9 for high-res\n", + "scale_ind = 0\n", + "scales = [1.5, 9]\n", + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in scales\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "cam_y_distance = 0.8\n", + "\n", + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -cam_y_distance, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")\n", + "\n", + "\n", + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "gt_images = []\n", + "\n", + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]\n", + "num_points = 4001\n", + "model_scores = []\n", + "dist_range = 0.025\n", + "dist_min, dist_max = -dist_range, dist_range" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "num_points = 4001\n", + "distance = 0.25\n", + "observed_images = []\n", + "renderer = b3d.RendererOriginal(\n", + " scales[scale_ind] * h,\n", + " scales[scale_ind] * w,\n", + " scales[scale_ind] * fx,\n", + " scales[scale_ind] * fy,\n", + " scales[scale_ind] * cx,\n", + " scales[scale_ind] * cy,\n", + " 0.01,\n", + " 10.0,\n", + ")\n", + "distances = jnp.linspace(1.0, 2.5, 4) - 0.3\n", + "\n", + "for d_ind, distance in enumerate(distances):\n", + " gt_pose = b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv() @ b3d.Pose.from_translation(jnp.array([0, distance, 0]))\n", + " transformed_vertices = gt_pose.apply(object_library.vertices)[None, ...]\n", + " images = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " gt_image = images[0, ..., :3]\n", + " gt_images.append(gt_image)\n", + " gt_image_depth = np.array(images[0, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " observed_images.append(\n", + " jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + " )\n", + "\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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zZzs8nnJODz30kNN9w5mcx6E7/Tp27Fjr73v37jXR0dH5yuc8nj05pnz55ZemQoUKDpdRvXp163ucM2eOCQ4Odrotx44dK1Qf2W3fvt1azp133lmkZbjDPvY4O7aK4urVq9Yx/eyzz7q1/oEDB5r33nvPaV82bNjQnDhxwhhjzIsvvuh0377tttvMhQsXnK7v8OHDpmnTpi73kfr165s9e/bkqpdzX3Q15ZWammpto7OpZcuW5qeffiqwf958802HY4JdUca6vJYuXWqV++KLL1x+dwAA3OjIwbkncnA2cnDutpCDC0YOdh85OPdEDiYHAwDgC2Th3BNZOBtZOHdbyMIFIwu7jyyceyILk4WB35tAAQBKzLFjx9SpUyedPXvWemLwT3/6k8LDw7Vr1y699NJL2r59uz7++GMNGjRIH374odNlHTlyRA888IDCwsL07LPPqkOHDipTpow2b96s8uXLF9iWe+65p8CnT5966inrKfOoqKhc81JTU5WYmKhr164pKChIw4YNU8+ePVWuXDlt27ZNEydOVFpaml5//XWVK1dOkyZNcrqeHTt2aO7cuapVq5ZGjx6t+Ph4GWO0bNkyTZw4UVevXtWjjz6qO++8U9WqVctV7/jx47rrrrskSRMmTFCvXr1yLbt69erW56ysLAUHB+uuu+5Sly5d1KhRI1WtWlVnzpzR3r179frrr+v777/X7NmzFRsbq/HjxxfYj0WxefNm9e/fX5mZmQoJCdHIkSPVvXt3hYSEaOPGjXrhhRc0dOhQNWrUqMjrGDBggI4fP66goCA98sgj6tatm2rWrKnr16/r6NGj2rBhgz755JNcdf75z39qzJgxGjx4sLZs2aL4+HilpKTkKhMcHJzr35mZmYqLi1PPnj0VHx+viIgIGWN0+PBhffLJJ5o3b57S0tJ0zz33KDU1VaGhoU7bvGzZMm3atElxcXEaMWKE4uLidOXKFX3yySd65ZVXdPnyZQ0YMED79u3L1w5JevTRRzVjxgxJUq1atTRs2DC1a9dOlSpV0qlTp7Rp0ybNnz/f4brnzZunAQMGyBij2NhYDRs2TI0aNVK1atV06NAhTZ8+XUuWLNH06dNVsWJFTZkyxa3vQZJq166tHTt2SJLTvnW0PZKUlJSkY8eOafjw4erZs6eqVKmiffv2WcejJ8eU48ePq1+/fqpcubJeeOEFtWrVSteuXdNHH32kV155RSdPntTDDz+sl19+WQ8++KAaNGig0aNHq0mTJrp06ZJmzJih999/X4cPH9aoUaNcrssZ+68OSNLdd99d6Pq+tHnzZutVfy1btnSrzvbt2/XBBx+ofv36GjNmjOLi4nThwgXNmDFDs2fP1t69ezVmzBj16dNHTz31lNq0aaPhw4fr5ptv1unTp/Xqq69qyZIl2rp1qyZMmKCJEyfmW0d6errat2+vH3/8USEhIXrkkUeUkJCg6OhoXbx4UV988YVeeeUV7d+/X926ddPWrVtVqVIlSdKf//xnJSUl6ZlnntHChQsVERGhZcuWudym/fv3KyEhQefPn1fFihX1xBNPqFWrVoqMjFR6eroWLVqkt99+W5s3b1avXr20du1ap69G3Lx5s2bPnq3IyEiNGTNG8fHxyszM1Nq1a60yRRnr8mrVqpX1ec2aNerSpYvL8gAAoHDIwY6Rg8nBEjnYEXJw6UEOzkYOBgAAjpCFHSMLk4UlsrAjZOHSgyycjSwMoFh8drs8APi5nE9PDx061OzYsaPAqVevXlYdR0/VJyUlWfPffffdfPOvXr1q7rjjDqvMkiVL8pXJ+RRzRESEOXz4sNNtcPVUfUGmTp1q1e3fv3+++S1btjRS9hPvy5Ytyzf/zJkzplGjRkaSCQgIMDt37sxXJudTly1atDDnz5/PV2b27NlWmSlTphRrGy9evGiOHz/udP7169fNoEGDjCRTrlw5c+7cuXxlPPFUfXx8vJFkgoKCHD4lfvToUVOnTp1cTyk7Yp+f96n6AwcOuPUk6fXr182ZM2fy/T3nU9YF2bt3r8v5X375pQkICHC6z+fcDkmme/fu5tdff81XZsKECVaZjz/+ON/8hQsXWvPbtm1rzp4967RNR44cyfXvU6dOmUqVKhlJZsiQIU6fmn/66aet/fmHH35wsdXOudO3OZ9kDggIcHh82Xl6TGnQoIE5efJkvjJjxoyxylSrVs20a9fOXLp0KV+5vn37Gin7lyEcLacgDz/8sLWe5cuXF7q+u7zxVP2kSZOstv/4449urV+S0760f7dlypQxVatWNffee6/JzMzMVSYzM9O0adPGSDLh4eEO993777/f2taDBw86bM/WrVutX5R4+umn880v6Bc+cmrXrp2RZJo3b25OnTrlsMznn39ujQvvvPNOvvk5+ycuLs7p8VzcsS6nmJgYI8ncfffdLssBAHCjIweTg8nBCQVuCzm4cMjBrpGDf0MOJgcDAOArZGGyMFk4ocBtIQsXDlnYNbLwb8jCZGHg94ib1gHAiZxBtChT3gsUx44dM2XKlCnwBCgtLc167U337t3zzc8ZJt577z2X21DUCxTLly+32tCqVat8r5DauHGjtdzHH3/c6XLWrVtnlfvzn/+cb37Ok9Dt27c7XMb169et1/z07t3bY9voTHp6uvU9zZ8/P9/84l6g2LRpk1V/2LBhTsvNnTu3yBcovv766wL71ZXCXKBwxz333GMkmR49ejicb29raGio+fnnnx2W+eWXX6zXZY0cOTLf/LZt2xop+3VxhX0N2f/8z/8YSaZ27drm6tWrTstlZGSY2rVrOw1x7ijsBYohQ4Y4LeeNMeXzzz93uIycr1G02Wxm165dDsutXLnSKrdw4UKnbXLGvq8UtO/+8ssvTi8U532dmSPeuEAxfPhwq+2OLrI5Wr+7fRkWFmbS09MdlpsxY4bTPktLS7P2kcWLF7ts01//+lcjZV/4zsvdCxRfffWV1ZbvvvvOZdl+/fpZF2jyyvn/hq+++srpMoo71uXUunVrI2W/fg8AgN8zcjA5mBycUOi6jpCDf0MOdo0c/BtyMDkYAABfIQuThcnCCYWu6whZ+DdkYdfIwr8hC5OFgd+jAAEASsTq1auVlZUlSXrooYeclouOjrZeQ5OzTl7BwcHq27evx9u5b98+9e3bV5mZmapdu7YWLFiQ7/Vdy5cvtz672pbbb79dt9xyS746ecXFxalJkyYO59lsNjVv3lySdPDgQbe3wx0ZGRk6evSodu/erZ07d2rnzp06fvy4wsPDJWW/psnTcvbD4MGDnZbr3bu3KleuXKR11KpVy/o8c+bMIi2jqE6dOqV9+/ZZ/blz507r9X0F9WeXLl1yvbovpwoVKqhBgwaS8u8H6enp2rBhgyQpOTlZERERhWrzokWLJEk9evRQSEiI03KBgYFq27atJOmbb74p1DqKqn///k7neXpMqVy5svVaxbxiYmJUoUIFSVKTJk2s4zqvpk2bWp+LcrxeuHDB+lyuXDmn5VasWKG4uDiHU9euXQu9Xk84deqUJCksLMzpq/3ycrcvu3TpoqpVqxZYLm+ff/bZZ8rKylJYWJi6devmsi1//OMfJWW/EvDIkSNutT8v+7F08803Ky4uzq31bd68WZmZmQ7LREZGqkOHDk6X4cmxzt6/P/30U7GWAwAAciMHk4MlcrAr5OD8yMGOkYMdlyMHFx05GAAA7yELk4UlsrArZOH8yMKOkYUdlyMLFx1ZGPAP3LQOAG4YO3asTPbbKVxOAwcOdLqMnTt3Wp9bt27tcn32+ZcvX3Z6kt+gQYN8Fw6K69y5c0pMTNTZs2dVtmxZLVy4MNcJoJ19W4KDg9WsWTOXy7Rvy759+3Tt2jWHZf7whz+4XIb9xDFneCmqjIwMvf7662rTpo3Kly+vyMhINWrUKFfAOXnypCTp9OnTxV5fXjt27JCU3Xc5g0VeQUFB1oWZwoqJibFO6l9++WXdeuuteu6557Ry5Updvny5SMt05euvv1ZycrLCw8NVvXp1NWzYMFd/Tps2TVLB/VnU/SA1NVXGGElyGWYcycrKUmpqqiTp7bffls1mcznNnz9fUsmFGGcX7iTvjCk2m83pMuwXzBo2bFhgGalox6v9IogkXbp0qdD1fenMmTOSpCpVqrhdx92+LGqfb9myRVL29x4YGOhy3+7Ro4dVr6j7t319e/bsKfBYGjZsmKTsMdned3m52v8lz4519u+ttO13AAB4Ezk4N3Jw0ZGDnSMH50cOLj3IweRgAABuRGTh3MjCRUcWdo4snB9ZuPQgC5OFARQfN60DQAnJeQLm7Mlhu5o1azqsl1NhToLdkZWVpeTkZOvEcubMmWrRooXDsvY2Va1aVYGBgS6Xa98WY4zOnj3rsExYWJjLZQQEBFhtLI4zZ86obdu2GjZsmDZu3Oj0gondlStXirU+Z22QsvuuTJkyLsvWqFGjyOv54IMPrCfAd+3apeeff16dOnVS5cqV9cc//lFvvfWWrl69WuTl240bN07t27fXvHnznO6rdgX1Z1H3g5wXPhxdUHPlzJkzTp/odcUbF3occXWce3pMcbf/XZWzl5GKdrzaf9FC+u0pdUfuueeefBeIo6KiCr0+T7JfMC7MuOFuXxa1z+0XWwurqPu3p9fnzv/nPDXW2b+3oKCgQrQcAAAUhBxMDra3QSIHO0IOzo8c7Bg52HE5cjA5GAAAf0QWJgvb2yCRhR0hC+dHFnaMLOy4HFmYLAyUdq7PKgEAXuHqyVV3FRRuC2vkyJH64osvJEnPPvus+vXrV2AdT2xHSRoxYoS+/fZbSdkBZ8iQIWrSpImqV6+u0NBQa3vq1q2rH3/80XpS2xu83Xe1a9fW+vXrtWLFCn388cdas2aNdu3apYyMDK1du1Zr167V5MmTtWTJEpdP7LqyYsUKjR8/XpIUGxurMWPGqH379qpbt67KlStnXbx67rnn9Pzzz3ts2zwpZ6B7+OGHNWLECLfqufuqr+Jy9zgvbceiMzl/aWLbtm3q1KmTD1tTOPZXHp47d07GGL/4Tuz790033aRVq1a5XS8mJqZY62vatKlmz57tdr3atWs7/Ls7+7+nxjr7hbuivoITAAAUjBzsG+RgcnBe5GD/Qg72LHIwORgAAH9DFvYNsjBZOC+ysH8hC3sWWZgsDJQ23LQOACXE/horSfr5558VGRnptGzO1/DkrOct77zzjl577TVJUlJSksaNG+eyvL1N6enpyszMdPlkvX1bbDabx38JoDB++eUXzZ07V5LUv39/lyfPzp7+9wR7H6SnpysrK8vlCfjPP/9c7PV16tTJCnnp6elavny53nnnHa1cuVIHDhxQcnKytm3bVqRl21/xVqVKFW3YsMEKaHkV9LR9cd10003W5xMnThSqbs7jyxijxo0be6xd3ubPY0pRJSQkWJ+XLl2qMWPG+LA1hWPf/69fv67z58/7RdC1/0rBhQsXdMstt3j8wraz9V28eLHEj6XijnX2cb9u3bol0l4AAH4v/PmclRycGznYPeRg3/LnMaWoyMGeRQ4mBwMA4A/8+byVLJwbWdg9ZGHf8ucxpajIwp5FFiYLA6VNQMFFAACekPNkbePGjS7Lbtq0SVL2639iY2O92q7Vq1dr2LBhkqTmzZtr1qxZBT4Nat+Wa9euKTU11WVZ+7Y0aNDAK08iu/vk6r59+5SRkSFJSk5Odlruhx9+0MWLFz3SNkfi4uIkZffd9u3bnZbLzMwssG8LKzw8XMnJyVqxYoV69uwpSUpNTdW+fftylXO3T7///ntJ0h133OH04oQkbdmypYgtdk/z5s2tNn/11VeFqhscHKxbb71VkvT11197vG3e5K9jSnE0adJEzZo1kyStXLlSu3bt8m2DCsF+bEvS3r17fdiS3zRv3lyS9OuvvxbrOHR3TLCv7+DBg7kuipU0d8c6u+vXr+vgwYOSZI0HAADAM/z1nJUcnBs5mBxcWvjrmFIc5GDPIgeTgwEA8Af+et5KFs6NLEwWLi38dUwpDrKwZ5GFycJAacNN6wBQQjp27Gg90Thjxgyn5Y4cOaIvv/wyXx1vOHDggJKSkpSRkaEaNWpo4cKFCgsLK7Be586drc+utuWbb76xAkbOOp4UGhpqff7111+dlsvMzLQ+X7p0yWm5t956yzMNcyJnP8yaNctpuU8++cSrT/fnfMXW6dOnc82z96mr/pR+61NX/blt27YCw3NxVa1aVe3atZMkzZs3T8ePHy9UfXuA+eGHH7Rs2TKPt89b/HFM8YT//u//lpT9KweDBg3S1atXfdwi93To0MH6vHnzZh+25DeJiYnWxYV///vfRV6Ou2OC/VgyxuiVV14p8vo8ydVYZ7dr1y7rwnTr1q1LpF0AAPxe+OM5Kzk4P3IwObi08McxxRPIwZ5DDiYHAwDgD/zxvJUsnB9ZmCxcWvjjmOIJZGHPIQuThYHShpvWAaCEREREqHfv3pKkzz//3GE4vXbtmoYMGWI9/W1/2t0bzp8/r8TERKWnpyskJEQLFixw+SqpnFq1aqX4+HhJ2a8DW7FihcPlP/bYY5KkgIAADR061HONzyE8PNx6Wv/AgQNOy9WvX986UZ81a5aMMfnKLF68WFOnTvVKO+1atWql2267TZL05ptvat26dfnKnDhxolivwEpNTXX5RL4xRsuXL5eU/bRsdHR0rvm1atWSlP1krKN+smvQoIEkad26ddq/f3+++adOndKAAQMK2fqi+dvf/iZJunz5svr27avz5887LXv06NFc/x4xYoTKly8vSRo8eLD1awHOfPbZZ/ruu++K2eLi87cxxVP69eun+++/X1J20O/SpYsOHz7sss7ly5cLDM/eFhkZqaioKEm//YqBr918883q27evJOnDDz/UlClTXJZPS0vTBx98kO/v9jHh5MmTunDhgtP6Xbt2VatWrSRJL774oubNm+dyfTt27NDixYtdlnGluGOdXc7vq2vXrkVuDwAAyM/fzlnJweRgiRwskYP9DTnYc8jB5GAAAPyBv523koXJwhJZWCIL+xuysOeQhcnCQGkT6OsGAMDvycsvv6wVK1bo7NmzGjJkiNatW6fk5GRVqVJFP/zwgyZPnmydbPXr10/dunXzWluGDx+u3bt3S5KefPJJlS9fXjt37nRavnr16qpevbr172nTpql169a6du2aunfvruHDhysxMVHlypXTtm3bNHHiROvVOmPGjMn12ipPCgwMVMuWLfX1119rxowZat68uZo1a6agoCBJ2U9cV61aVeHh4erevbs+++wzLV26VF27dtXQoUMVFRWlkydP6qOPPtLMmTMVGxurc+fO6dSpU15pryS98cYbat++vTIyMtSlSxeNHDlS3bt3V0hIiDZu3KgXXnhBp0+fVtOmTV2+Ls6Z1NRUDR48WC1btlRiYqJuu+021axZUxkZGUpLS1NKSor1lHXPnj2t8GHXrl07paSk6OTJkxo1apQeeOABVapUSZIUFBRkhbAHH3xQixcv1qVLl5SQkKC///3vatGihSRp/fr1mjJlin766Se1bdtW33zzTXG6rECJiYl66KGHNH36dK1fv16NGjXSsGHDdPvtt6tixYo6ffq0tmzZorlz56pp06aaOXOmVbdGjRqaNWuWkpKSdOLECcXHx2vQoEHq1q2b6tSpo4yMDB09elSbNm3S/PnzdfDgQS1evFhNmjTx6ja5w5/GFE+aNm2azp8/r88++0zr1q1Tw4YNlZSUpC5duig2NlaVKlXSlStXdOTIEa1fv14ffPCBTp48KUlu/TKIt/Tq1UuvvvqqVq1aJWOM269Q86Y333xTW7Zs0cGDBzV69GgtXLhQDz74oG699VaFhIQoPT1d27dv19KlS7Vy5Ur17t1b9913X65l2H+14vr163r88cc1fPhw3XTTTdb8+vXrW5/nzJmjVq1a6cyZM0pOTtbs2bOVnJysBg0aqEyZMjp58qS2bdumxYsXa8OGDRo9erQSExOLtG3FHevs7BfZmzZtqpiYmCK1BQAAOOdP56zkYHKwRA6WyMH+iBzsOeRgcjAAAP7An85bycJkYYksLJGF/RFZ2HPIwmRhoFQxAACHVq1aZSQZSWbs2LFu1Rk4cKBVJy0tzWGZrVu3moiICKuco6lPnz7mypUrDusnJCQYSSYhIaHA9qSlpVnLTElJcbgcdydHfbBs2TJTsWJFl/WeeOIJk5WV5bB9UVFRRpIZOHCgy+2w92tUVJTD+Z9++qmx2WwFtvvIkSOmbt26Tttat25d8/3337tsV879YtWqVS7b7cqcOXNMcHCww3YEBgaad955p8DtdvbdpKSkuPWdtmvXzpw+fTrfci9cuGBiY2Md1snblsGDBztdfpkyZcy///1vM3bsWOtvhdmOvAra9zMzM82wYcOc7gv2ydn+tmjRIlO1atUC+y0gIMCsXLnSZVuLug3GmAL7K6+SGlPcPV4LO246k5WVZSZMmGAqVark1v4cGhpqhg4dak6dOlXgsu3b4uzYKqodO3ZY7VmzZk2B6/dEX7oa5+1OnDhhOnTo4FY/Dh48OF/9rKws06ZNG6d18tqzZ49p3LixW+sbP358kfunuGOdMcZcunTJlCtXzkgyL774osv1AQDwe0AOJgeTg8nBjiZy8ECX5Qo7bjpDDiYHk4MBAPANsjBZmCxMFnY0kYUHuixX2HHTGbIwWZgsDPz+BAgAUKKaN2+uPXv26F//+pdat26typUrKzg4WBEREerTp48WLVqkjz76SKGhob5uaoG6du2q/fv36+mnn1azZs1UsWJFhYSEqG7duurfv7/Wrl2rqVOnKiDAu/+7+a//+i+tWLFCvXr1UkREhPVEfV6RkZHaunWrnnrqKTVs2FAhISGqVKmSmjZtqrFjxyo1NVWNGjXyalvt7rvvPm3btk0DBgxQRESEgoODVbt2bfXr10/r1q3TI488UqxlL1myRCNHjlT79u0VExOjsLAwBQcHq06dOurZs6f+7//+T2vXrlV4eHi++uXLl9f69es1YsQI3XLLLS6fUp4xY4bef/99dejQQRUqVFBISIiioqI0YMAAaxklpUyZMnrttde0ZcsWPfroo2rYsKHKlSunoKAg1axZU127dtWUKVM0efJkh/UTExOVlpamyZMn684771SNGjUUFBSksmXLKiYmRj169NCUKVN06NAh3XHHHSW2XQW5kcaUnAICAvSPf/xDhw4d0htvvKE+ffqoXr16qlSpkgIDAxUeHq5GjRqpf//+evvtt3XixAm98cYbuZ72LmmNGzdW27ZtJWU/Xe4vatasqa+++kqffvqp+vfvr9jYWIWFhSkoKEjVqlVTu3btNHr0aK1Zs0YzZszIVz8gIEBffPGFnnnmGTVt2lTly5d3+YsBDRs2VGpqqubMmaN7771XdevWVdmyZRUcHKxatWqpY8eOeuaZZ/Ttt9/queeeK/J2FXesk6SFCxfq0qVLCg0N1eDBg4vcFgAA4NqNdM5KDi46crDnkYNL/5iSEznYc8jB5GAAAPzBjXTeShYuOrKw55GFS/+YkhNZ2HPIwmRhoLSwGWOMrxsBAAAA3AjmzZtnvY7vyJEjKl++vK+bBBc6d+6sFStW6LHHHtNbb73l6+YAAAAAQKlDDi5dyMEAAAAAUHxk4dKFLAz4F35pHQAAAPCQvn37qkWLFjp79qymTp3q6+bAhQ0bNmjFihUKDg7W008/7evmAAAAAECpRA4uPcjBAAAAAOAZZOHSgywM+B9uWgcAAAA8xGazadKkSZKkKVOm6NKlSz5uEZwZP368JGnEiBGqW7euj1sDAAAAAKUTObj0IAcDAAAAgGeQhUsPsjDgfwJ93QAAAADgRtKpUye9+uqrSk9P1+HDh9WoUSNfNwl5XL58WW3atFGbNm00cuRIXzcHAAAAAEo1crD/IwcDAAAAgGeRhf0fWRjwTzZjjPF1IwAAAAAAAAAAAAAAAAAAAAAAN6YAXzcAAAAAAAAAAAAAAAAAAAAAAHDj4qZ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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "model_scores = []\n", + "plt.figure()\n", + "fig, axes = plt.subplots(1, len(models), figsize=(10 * len(models), 7))\n", + "for model_ind, model in enumerate(models):\n", + " ax = axes[model_ind]\n", + " model_scores_distances = []\n", + " for d_ind, distance in enumerate(distances):\n", + " point1 = jnp.array([dist_min, distance, 0])\n", + " point2 = jnp.array([dist_max, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " linear_poses_batches = vec_fun(point1, point2, alphas).split(10)\n", + " logpdfs = []\n", + " translations = []\n", + " for linear_poses in linear_poses_batches:\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + " rendered_imgs = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (len(linear_poses), 1, 1)),\n", + " )\n", + " logpdfs.append(\n", + " model(observed_images[d_ind], rendered_imgs, model_args[model_ind])[0]\n", + " )\n", + " translations.append(linear_poses.pos[:, 0])\n", + " logpdfs = jnp.concatenate(logpdfs)\n", + " translations = jnp.concatenate(translations)\n", + " model_scores_distances.append(logpdfs)\n", + " ax.plot(\n", + " translations,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=0.7,\n", + " linewidth=4,\n", + " label=str(distance + cam_y_distance) + \" (m)\",\n", + " )\n", + " model_scores.append(model_scores_distances)\n", + " title = \"Posterior conditioned on two two-object scene\\nModel: \" + str(\n", + " model_names[model_ind]\n", + " )\n", + " ax.set_title(title, fontsize=25)\n", + " ax.tick_params(axis=\"x\", labelsize=15)\n", + " ax.tick_params(axis=\"y\", labelsize=15)\n", + " ax.legend(fontsize=20)\n", + " ax.set_xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " ax.grid(True)\n", + " if model_ind == 0:\n", + " ax.set_ylabel(\"Posterior Probability\", fontsize=20)\n", + " else:\n", + " ax.yaxis.set_ticklabels([])\n", + " ax.set_ylim(0.0, 0.008)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "key = jax.random.PRNGKey(0)\n", + "model_scores = jnp.array(model_scores)\n", + "apply_vec = jax.vmap(lambda pose, vertices: pose.apply(vertices), (0, None))\n", + "num_samples = 10\n", + "for dist_ind, distance in enumerate(distances):\n", + " fig, axes = plt.subplots(\n", + " len(models), num_samples, figsize=(num_samples + 2, len(models) + 1)\n", + " )\n", + " fig.suptitle(\n", + " \"Posterior samples - distance: \" + str(distance + cam_y_distance) + \" (m)\",\n", + " fontsize=12,\n", + " )\n", + "\n", + " point1 = jnp.array([dist_min, distance, 0])\n", + " point2 = jnp.array([dist_max, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + "\n", + " rgbd_gt = render_rgbd_many(\n", + " renderers[scale_ind],\n", + " jnp.array(\n", + " [linear_poses[len(linear_poses) // 2].apply(object_library.vertices)]\n", + " ),\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " rgb_gt = rgbd_gt[0, ..., :3]\n", + "\n", + " for model_ind, _ in enumerate(models):\n", + " scores = model_scores[model_ind, dist_ind]\n", + "\n", + " samples = jax.random.categorical(key, scores, shape=(num_samples,))\n", + "\n", + " rgbd_im = render_rgbd_many(\n", + " renderers[scale_ind],\n", + " apply_vec(linear_poses[samples], jnp.array(object_library.vertices)),\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (num_samples, 1, 1)),\n", + " )\n", + "\n", + " for i in range(len(samples)):\n", + " axes[model_ind, i].imshow((rgbd_im[i, ..., :3] + rgb_gt) / 2)\n", + " # axes[model_ind, i].axis('off')\n", + " axes[model_ind, i].tick_params(\n", + " left=False, labelleft=False, bottom=False, labelbottom=False\n", + " )\n", + "\n", + " for ax, row in zip(axes[:, 0], model_names):\n", + " ax.set_ylabel(row, rotation=90)\n", + " ax.tick_params(left=False, labelleft=False, bottom=False, labelbottom=False)\n", + " # fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for dist_ind, distance in enumerate(distances):\n", + " plt.figure()\n", + " plt.title(\n", + " \"conditioned image: \\ndistance: \" + str(distance + cam_y_distance) + \" (m)\",\n", + " fontsize=20,\n", + " )\n", + " plt.imshow(gt_images[dist_ind])\n", + " plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/gaussian_likelihood.ipynb b/notebooks/bayes3d_paper/gaussian_likelihood.ipynb index d4e37c9f..f13e569e 100644 --- a/notebooks/bayes3d_paper/gaussian_likelihood.ipynb +++ b/notebooks/bayes3d_paper/gaussian_likelihood.ipynb @@ -9,9 +9,7 @@ "import b3d\n", "import matplotlib.pyplot as plt\n", "import jax.numpy as jnp\n", - "import jax\n", - "from b3d import Pose, Mesh\n", - "import rerun as rr" + "import jax" ] }, { diff --git a/notebooks/bayes3d_paper/interactive.ipynb b/notebooks/bayes3d_paper/interactive.ipynb index 222a699e..b4724748 100644 --- a/notebooks/bayes3d_paper/interactive.ipynb +++ b/notebooks/bayes3d_paper/interactive.ipynb @@ -1,583 +1,1782 @@ { - "cells": [ - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import b3d\n", - "import jax.numpy as jnp\n", - "import os\n", - "from b3d import Mesh, Pose\n", - "import jax\n", - "import genjax\n", - "from genjax import Pytree\n", - "import rerun as rr\n", - "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 1/1 [00:03<00:00, 3.01s/it]\n" - ] - } - ], - "source": [ - "b3d.rr_init(\"interactive\")\n", - "\n", - "ycb_dir = os.path.join(b3d.get_assets_path(), \"bop/ycbv\")\n", - "scene_id = 49\n", - "image_id = 100\n", - "\n", - "all_data = b3d.io.get_ycbv_test_images(ycb_dir, scene_id, [image_id])\n", - "\n", - "meshes = [\n", - " Mesh.from_obj_file(\n", - " os.path.join(ycb_dir, f'models/obj_{f\"{id + 1}\".rjust(6, \"0\")}.ply')\n", - " ).scale(0.001)\n", - " for id in all_data[0][\"object_types\"]\n", - "]\n", - "\n", - "height, width = all_data[0][\"rgbd\"].shape[:2]\n", - "fx, fy, cx, cy = all_data[0][\"camera_intrinsics\"]\n", - "scaling_factor = 0.3\n", - "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", - " width * scaling_factor,\n", - " height * scaling_factor,\n", - " fx * scaling_factor,\n", - " fy * scaling_factor,\n", - " cx * scaling_factor,\n", - " cy * scaling_factor,\n", - " 0.01,\n", - " 2.0,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "@jax.jit\n", - "def surface_krays_likelihood_intermediate(\n", - " observed_rgbd, rendered_rgbd, likelihood_args\n", - "):\n", - " fx = likelihood_args[\"fx\"]\n", - " fy = likelihood_args[\"fy\"]\n", - "\n", - " observed_rgb = observed_rgbd[..., :3]\n", - " observed_depth = observed_rgbd[..., 3]\n", - "\n", - " rendered_rgb = rendered_rgbd[..., :3]\n", - " rendered_depth = rendered_rgbd[..., 3]\n", - "\n", - " observed_lab = b3d.colors.rgb_to_lab(observed_rgb)\n", - " rendered_lab = b3d.colors.rgb_to_lab(rendered_rgb)\n", - "\n", - " color_variance = likelihood_args[\"color_variance\"]\n", - " depth_variance = likelihood_args[\"depth_variance\"]\n", - " outlier_prob = likelihood_args[\"outlier_prob\"]\n", - " outlier_volume = likelihood_args[\"outlier_volume\"]\n", - "\n", - " multiplier = likelihood_args[\"multiplier\"]\n", - "\n", - " observed_depth_corrected = observed_depth + (observed_depth == 0.0) * renderer.far\n", - " rendered_areas = (rendered_depth / fx) * (rendered_depth / fy)\n", - " observed_areas = (observed_depth_corrected / fx) * (observed_depth_corrected / fy)\n", - "\n", - " color_pdf = jax.scipy.stats.truncnorm.pdf(\n", - " (observed_lab - rendered_lab) / jnp.array([100.0, 120.0, 120.0]),\n", - " a=jnp.ones(3) * -1.0,\n", - " b=jnp.ones(3) * 1.0,\n", - " loc=jnp.zeros(3),\n", - " scale=color_variance,\n", - " ).prod(-1)\n", - "\n", - " depth_width = 0.1\n", - " depth_pdf = jax.scipy.stats.truncnorm.pdf(\n", - " (observed_depth - rendered_depth) / 1.0,\n", - " a=-depth_width,\n", - " b=depth_width,\n", - " loc=0.0,\n", - " scale=depth_variance,\n", - " )\n", - "\n", - " inliers_integral = color_pdf * depth_pdf * rendered_areas * (1.0 - outlier_prob)\n", - " outlier_integral = observed_areas * 1 / outlier_volume * outlier_prob\n", - " pixelwise_score = inliers_integral + outlier_integral\n", - "\n", - " return {\n", - " \"score\": jnp.log(jnp.sum(pixelwise_score)) * multiplier,\n", - " \"pixelwise_score\": pixelwise_score,\n", - " \"rendered_rgbd\": rendered_rgbd,\n", - " }\n", - "\n", - "\n", - "import b3d.chisight.dense.likelihoods.image_likelihood\n", - "from b3d.chisight.dense.likelihoods.simple_likelihood import simple_likelihood\n", - "\n", - "intermediate_func = surface_krays_likelihood_intermediate\n", - "image_likelihood = (\n", - " b3d.chisight.dense.likelihoods.image_likelihood.make_image_likelihood(\n", - " intermediate_func,\n", - " )\n", - ")\n", - "\n", - "\n", - "@genjax.gen\n", - "def dense_multiobject_model(num_objects, meshes, likelihood_args):\n", - " all_poses = []\n", - " for i in range(num_objects.const):\n", - " object_pose = (\n", - " uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ f\"object_pose_{i}\"\n", - " )\n", - " all_poses.append(object_pose)\n", - "\n", - " all_poses = Pose.stack_poses(all_poses)\n", - " scene_mesh = Mesh.transform_and_merge_meshes(meshes, all_poses)\n", - "\n", - " rendered_rgbd = renderer.render_rgbd_from_mesh(scene_mesh)\n", - " image = image_likelihood(rendered_rgbd, likelihood_args) @ \"image\"\n", - " return {\"scene_mesh\": scene_mesh, \"image\": image}\n", - "\n", - "\n", - "importance_jit = jax.jit(dense_multiobject_model.importance)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "color_variance = 0.01\n", - "depth_variance = 0.02\n", - "outlier_prob = 0.0001\n", - "outlier_volume = 5.0\n", - "multiplier = 65.0\n", - "likelihood_args = {\n", - " \"color_variance\": jnp.ones(3) * color_variance,\n", - " \"depth_variance\": depth_variance,\n", - " \"outlier_prob\": outlier_prob,\n", - " \"outlier_volume\": outlier_volume,\n", - " \"multiplier\": multiplier,\n", - " \"fx\": fx,\n", - " \"fy\": fy,\n", - "}\n", - "initial_camera_pose = all_data[0][\"camera_pose\"]\n", - "initial_object_poses = all_data[0][\"object_poses\"]\n", - "IDX = 0\n", - "pose = initial_camera_pose.inv() @ initial_object_poses[IDX]\n", - "observed_image_resized = b3d.utils.resize_image(\n", - " all_data[0][\"rgbd\"], renderer.height, renderer.width\n", - ")\n", - "choicemap = genjax.ChoiceMap.d(\n", - " dict([(\"object_pose_0\", pose), (\"image\", observed_image_resized)])\n", - ")\n", - "\n", - "\n", - "b3d.rr_init(\"interactive\")\n", - "\n", - "num_samples = 10\n", - "for t in range(num_samples):\n", - " rr.log(f\"img_{t}\", rr.Image(observed_image_resized[..., :3]), timeless=True)\n", - "\n", - "trace, _ = importance_jit(\n", - " jax.random.PRNGKey(2),\n", - " choicemap,\n", - " (Pytree.const(1), [meshes[IDX]], likelihood_args),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "key = jax.random.PRNGKey(1)" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "29\n" - ] - } - ], - "source": [ - "key = jax.random.split(key, 2)[-1]\n", - "w = 0.05\n", - "batch_length = 700\n", - "test_poses = Pose.concatenate_poses(\n", - " [\n", - " pose\n", - " @ Pose.sample_uniform_pose_vmap(\n", - " jax.random.split(key, 20000), -w / 2 * jnp.ones(3), w / 2 * jnp.ones(3)\n", - " ),\n", - " # pose[None,...]\n", - " ]\n", - ")\n", - "split_poses = [\n", - " test_poses[i]\n", - " for i in jnp.array_split(\n", - " jnp.arange(test_poses.shape[0]), test_poses.shape[0] // batch_length + 1\n", - " )\n", - "]\n", - "print(len(split_poses))" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "@jax.jit\n", - "def fine_grain_inference(\n", - " color_variance,\n", - " depth_variance,\n", - " outlier_prob,\n", - " outlier_volume,\n", - " multiplier,\n", - " split_poses,\n", - "):\n", - " key = jax.random.split(jax.random.PRNGKey(0), 2)[-1]\n", - " likelihood_args = {\n", - " \"color_variance\": jnp.ones(3) * color_variance,\n", - " \"depth_variance\": depth_variance,\n", - " \"outlier_prob\": outlier_prob,\n", - " \"outlier_volume\": outlier_volume,\n", - " \"multiplier\": multiplier,\n", - " \"fx\": fx,\n", - " \"fy\": fy,\n", - " }\n", - " trace, _ = dense_multiobject_model.importance(\n", - " jax.random.PRNGKey(2),\n", - " choicemap,\n", - " (Pytree.const(1), [meshes[IDX]], likelihood_args),\n", - " )\n", - "\n", - " scores = jnp.concatenate(\n", - " [\n", - " b3d.enumerate_choices_get_scores(\n", - " trace, key, Pytree.const((\"object_pose_0\",)), p\n", - " )\n", - " for p in split_poses\n", - " ]\n", - " )\n", - "\n", - " sampled_indices = jax.random.categorical(key, scores, shape=(num_samples,))\n", - " return sampled_indices, scores, trace, key" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[5420 5420 5420 5420 5420 5420 5420 5420 5420 5420]\n", - "[188.60237 188.60237 188.60237 188.60237 188.60237 188.60237 188.60237\n", - " 188.60237 188.60237 188.60237]\n" - ] - } - ], - "source": [ - "def visualize_posterior_samples(\n", - " color_variance,\n", - " depth_variance,\n", - " outlier_prob,\n", - " outlier_volume,\n", - " multiplier,\n", - " split_poses,\n", - "):\n", - " sampled_indices, scores, trace, key = fine_grain_inference(\n", - " color_variance,\n", - " depth_variance,\n", - " outlier_prob,\n", - " outlier_volume,\n", - " multiplier,\n", - " split_poses,\n", - " )\n", - " print(sampled_indices)\n", - " print(scores[sampled_indices])\n", - "\n", - " rendered_rgbds = jax.vmap(\n", - " lambda i: renderer.render_rgbd_from_mesh(meshes[IDX].transform(test_poses[i]))\n", - " )(sampled_indices)\n", - "\n", - " for t in range(len(sampled_indices)):\n", - " rr.log(f\"img_{t}/rerender\", rr.Image(rendered_rgbds[t][..., :3]))\n", - "\n", - " # for t in range(len(sampled_indices)):\n", - " # sampled_trace = b3d.update_choices_jit(trace, key, Pytree.const((\"object_pose_0\",)), test_poses[sampled_indices[t]])\n", - " # intermediate_info = surface_krays_likelihood_intermediate(\n", - " # sampled_trace.get_choices()[\"image\"],\n", - " # sampled_trace.get_retval()[\"scene_mesh\"],\n", - " # renderer,\n", - " # sampled_trace.get_args()[2]\n", - " # )\n", - " # rr.log(\n", - " # f\"img_{t}/rerender\",\n", - " # rr.Image(intermediate_info[\"rendered_rgbd\"][...,:3])\n", - " # )\n", - "\n", - "\n", - "visualize_posterior_samples(\n", - " color_variance=0.01,\n", - " depth_variance=0.02,\n", - " outlier_prob=0.0001,\n", - " outlier_volume=5.0,\n", - " multiplier=65.0,\n", - " split_poses=split_poses,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "9b6405e0f150424c97f21a7b64ab0d8c", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "interactive(children=(FloatSlider(value=0.13, continuous_update=False, description='color_variance', max=0.5, …" - ] - }, - "metadata": {}, - "output_type": "display_data" + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# TODO\n", + "# - try tracking by making mesh of object and bacground from segmentation mask\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d\n", + "import jax.numpy as jnp\n", + "import os\n", + "from b3d import Mesh, Pose\n", + "import jax\n", + "import genjax\n", + "from genjax import Pytree\n", + "import rerun as rr\n", + "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", + "import matplotlib.pyplot as plt\n", + "from functools import partial\n", + "import importlib\n", + "from ipywidgets import interact\n", + "import ipywidgets as widgets\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n" + ] + }, + { + "cell_type": "code", + "execution_count": 806, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 23/23 [00:09<00:00, 2.44it/s]\n" + ] + } + ], + "source": [ + "b3d.rr_init(\"interactive\")\n", + "key = jax.random.PRNGKey(0)\n", + "ycb_dir = os.path.join(b3d.get_assets_path(), \"bop/ycbv\")\n", + "scene_id = 48\n", + "image_id = 100\n", + "\n", + "num_scenes = b3d.io.data_loader.get_ycbv_num_test_images(ycb_dir, scene_id)\n", + "\n", + "# image_ids = [image] if image is not None else range(1, num_scenes, FRAME_RATE)\n", + "image_ids = range(1, num_scenes + 1, 100)\n", + "all_data = b3d.io.get_ycbv_test_images(ycb_dir, scene_id, image_ids)\n", + "\n", + "\n", + "\n", + "meshes = [\n", + " Mesh.from_obj_file(os.path.join(ycb_dir, f'models/obj_{f\"{id + 1}\".rjust(6, \"0\")}.ply')).scale(0.001)\n", + " for id in all_data[0][\"object_types\"]\n", + "]\n", + "\n", + "height, width = all_data[0][\"rgbd\"].shape[:2]\n", + "fx,fy,cx,cy = all_data[0][\"camera_intrinsics\"]\n", + "scaling_factor = 0.2\n", + "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", + " width * scaling_factor, height * scaling_factor, fx * scaling_factor, fy * scaling_factor, cx * scaling_factor, cy * scaling_factor, 0.01, 2.0\n", + ")\n", + "\n", + "IDX = 0\n", + "rendered_rgbds = [\n", + " renderer.render_rgbd_from_mesh(meshes[IDX].transform(all_data[T][\"camera_pose\"].inv() @ all_data[T][\"object_poses\"][IDX]))\n", + " for T in range(len(all_data))\n", + "]\n", + "\n", + "observed_rgbd_scaled_down = b3d.resize_image(all_data[0][\"rgbd\"], renderer.height, renderer.width)" + ] + }, + { + "cell_type": "code", + "execution_count": 622, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d/lib/python3.12/site-packages/matplotlib/cm.py:494: RuntimeWarning: invalid value encountered in cast\n", + " xx = (xx * 255).astype(np.uint8)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "info = info_from_trace(trace)\n", + "latent_labd = info[\"latent_color_space_d\"]\n", + "observed_labd = info[\"observed_color_space_d\"]\n", + "\n", + "def normalize_lab(lab):\n", + " l = lab[...,0:1]\n", + " ab = lab[...,1:3]\n", + " length = jnp.linalg.norm(ab + 0.0001, axis=-1, keepdims=True)\n", + " black_or_white = length < 20.0\n", + " black = black_or_white * (l < 50.0)\n", + " white = black_or_white * (l >= 50.0)\n", + " ab_normalized = ab / length * 100.0\n", + "\n", + " return jnp.concatenate([(black * 0.0001 + white * 99.99 + (1.0 - black_or_white)* 50.0), (~black) * ab_normalized + 0.001], axis=-1)\n", + "\n", + "def normalize_labd(labd):\n", + " return jnp.concatenate([normalize_lab(labd[..., :3]), labd[..., 3:4]], axis=-1)\n", + "\n", + "\n", + "\n", + "fig,ax = plt.subplots(1,4, figsize=(20,10))\n", + "ax[0].imshow(trace.get_retval()[\"rgbd\"][...,:3])\n", + "ax[1].imshow(b3d.colors.lab_to_rgb(normalize_lab(observed_labd)))\n", + "ax[2].imshow(trace.get_retval()[\"latent_rgbd\"][...,:3])\n", + "ax[3].imshow(b3d.colors.lab_to_rgb(normalize_lab(latent_labd)))\n", + "\n", + "normalized_observed_lab = normalize_lab(observed_labd)\n", + "normalized_latent_lab = normalize_lab(latent_labd)\n", + "\n", + "rr.log(\"img\", rr.Image(normalize_lab(observed_labd)))\n", + "rr.log(\"img/latent\", rr.Image(normalize_lab(latent_labd)))\n", + "rr.log(\"img/rgb\", rr.Image(trace.get_retval()[\"rgbd\"][...,:3]))\n", + "rr.log(\"img/rgb/latent\", rr.Image(trace.get_retval()[\"latent_rgbd\"][...,:3]))\n", + "angle = jnp.arctan2(normalized_observed_lab[...,1], normalized_observed_lab[...,2]) * 180.0 / jnp.pi\n", + "latent_angle = jnp.arctan2(normalized_latent_lab[...,1], normalized_latent_lab[...,2]) * 180.0 / jnp.pi\n", + "rr.log(\"img/angle\", rr.DepthImage(jnp.arctan2(normalized_observed_lab[...,1], normalized_observed_lab[...,2]) * 180.0 / jnp.pi) )\n", + "rr.log(\"img/angle/latent\", rr.DepthImage(jnp.arctan2(normalized_latent_lab[...,1], normalized_latent_lab[...,2]) * 180.0 / jnp.pi))\n", + "rr.log(\"img/angle/diff\", rr.DepthImage(jnp.minimum(jnp.abs(angle - latent_angle), 360.0 - jnp.abs(angle - latent_angle))))" + ] + }, + { + "cell_type": "code", + "execution_count": 815, + "metadata": {}, + "outputs": [], + "source": [ + "lower_bound = jnp.array([0.0, -128.0, -128.0, 0.0])\n", + "upper_bound = jnp.array([100.0, 128.0, 128.0, 3.0])\n", + "convert_rgbd_to_color_space = lambda x: normalize_labd(b3d.colors.rgbd_to_labd(x))\n", + "convert_color_space_to_rgbd = lambda x: b3d.colors.labd_to_rgbd(x)\n", + "\n", + "\n", + "# lower_bound = jnp.array([0.0, -0.0, -0.0, 0.0])\n", + "# upper_bound = jnp.array([1.0, 1.0, 1.0, 10.0])\n", + "# convert_rgbd_to_color_space = lambda x: x\n", + "# convert_color_space_to_rgbd = lambda x: x\n", + "\n", + "# def sample_likelihood_func()\n", + "\n", + "def intermediate_likelihood_func(observed_rgbd, latent_rgbd, likelihood_args):\n", + " k = likelihood_args[\"k\"].const\n", + " fx = likelihood_args[\"fx\"]\n", + " fy = likelihood_args[\"fy\"]\n", + " \n", + " outlier_probability_background = likelihood_args[f\"outlier_probability_background\"]\n", + " lightness_variance_background = likelihood_args[f\"lightness_variance_background\"]\n", + " color_variance_background = likelihood_args[f\"color_variance_background\"]\n", + " depth_variance_background = likelihood_args[f\"depth_variance_background\"]\n", + "\n", + " outlier_probability_0 = likelihood_args[f\"outlier_probability_0\"]\n", + " lightness_variance_0 = likelihood_args[f\"lightness_variance_0\"]\n", + " color_variance_0 = likelihood_args[f\"color_variance_0\"]\n", + " depth_variance_0 = likelihood_args[f\"depth_variance_0\"]\n", + "\n", + "\n", + " inlier_variances_background = jnp.array([lightness_variance_background, color_variance_background, color_variance_background, depth_variance_background])\n", + " inlier_variances_0 = jnp.array([lightness_variance_0, color_variance_0, color_variance_0, depth_variance_0])\n", + " outlier_variances = jnp.array([1000000.0, 1000000.0, 1000000.0, 1000000.0])\n", + "\n", + " all_inlier_variances = jnp.stack([inlier_variances_background, inlier_variances_0])\n", + " all_outlier_probabilities = jnp.array([outlier_probability_background, outlier_probability_0])\n", + "\n", + " image_height, image_width = observed_rgbd.shape[:2]\n", + "\n", + " # row_coordinates = jax.vmap(genjax.categorical.sample,in_axes=(0, 0,))(\n", + " # jax.random.split(key, k),\n", + " # jnp.ones((k, image_height))\n", + " # )\n", + " # column_coordinates = jax.vmap(genjax.categorical.sample, in_axes=(0, 0,))(\n", + " # jax.random.split(key, k),\n", + " # jnp.ones((k, image_width))\n", + " # )\n", + "\n", + " mesh_index = 1 * (latent_rgbd[..., 3] > 0.)\n", + "\n", + " outlier_probability_adjusted = all_outlier_probabilities[mesh_index]\n", + " inlier_variances = all_inlier_variances[mesh_index]\n", + "\n", + " observed_labd = b3d.colors_r\n", + "\n", + " observed_color_space_d = convert_rgbd_to_color_space(observed_rgbd)\n", + " latent_color_space_d = convert_rgbd_to_color_space(latent_rgbd)\n", + "\n", + " subset_observed = observed_color_space_d\n", + " subset_observed_rescaled = (subset_observed - lower_bound) / (upper_bound - lower_bound)\n", + " rendered_values_rescaled = (latent_color_space_d - lower_bound) / (upper_bound - lower_bound)\n", + "\n", + "\n", + " scores_inlier = jax.vmap(genjax.truncated_normal.logpdf, in_axes=(0, 0, 0, None, None))(\n", + " subset_observed_rescaled, rendered_values_rescaled, inlier_variances,\n", + " 0.0, 1.0\n", + " )\n", + " scores_outlier = jax.vmap(genjax.truncated_normal.logpdf, in_axes=(0, None, None, None, None))(\n", + " subset_observed_rescaled, 0.5, outlier_variances,\n", + " 0.0, 1.0\n", + " )\n", + "\n", + " # scores_inlier_merged = jax.nn.logsumexp(scores_inlier[..., :3] + jnp.log(1/3), axis=-1) + scores_inlier[..., 3] + jnp.log(1.0 - outlier_probability_adjusted) \n", + " # scores_outlier_merged = jax.nn.logsumexp(scores_outlier[..., :3] + jnp.log(1/3), axis=-1) + scores_outlier[..., 3] + jnp.log(outlier_probability_adjusted)\n", + "\n", + " scores_inlier_merged = scores_inlier[...,:].sum(-1) + jnp.log(1.0 - outlier_probability_adjusted) \n", + " scores_outlier_merged = scores_outlier[...,:].sum(-1) + jnp.log(outlier_probability_adjusted)\n", + "\n", + " latent_depth = latent_rgbd[..., 3]\n", + " latent_areas = (latent_depth / fx) * (latent_depth / fy)\n", + "\n", + " pixelwise_score = jnp.logaddexp(scores_inlier_merged, scores_outlier_merged) \n", + " pixelwise_score_full = jnp.zeros((image_height, image_width))\n", + " # pixelwise_score_full = pixelwise_score_full.at.set(pixelwise_score)\n", + " pixelwise_score_full = pixelwise_score * (observed_rgbd[..., 3] > 0.)\n", + "\n", + " # pixelwise_score_full = pixelwise_score_full * latent_areas\n", + "\n", + " return {\n", + " \"score\": pixelwise_score_full.sum(),\n", + " \"observed_color_space_d\": observed_color_space_d,\n", + " \"latent_color_space_d\": latent_color_space_d,\n", + " \"pixelwise_score\": pixelwise_score_full,\n", + " }\n", + "\n", + "import b3d.chisight.dense.dense_model\n", + "b3d.reload(b3d.chisight.dense.dense_model)\n", + "model, viz_trace, info_from_trace = b3d.chisight.dense.dense_model.make_dense_multiobject_model(\n", + " renderer, intermediate_likelihood_func\n", + ")\n", + "importance_jit = jax.jit(model.importance)\n", + "\n", + "\n", + "grid3 = b3d.multivmap(b3d.update_choices_get_score, (False, False, False, True, True, True))\n", + "grid4 = b3d.multivmap(b3d.update_choices_get_score, (False, False, False, True, True, True, True))" + ] + }, + { + "cell_type": "code", + "execution_count": 816, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1193.9121\n" + ] + } + ], + "source": [ + "IDX = 4\n", + "likelikood_args = {\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"cx\": renderer.cx,\n", + " \"cy\": renderer.cy,\n", + " \"k\": Pytree.const(10000),\n", + "}\n", + "\n", + "T = 22\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"rgbd\": b3d.resize_image(all_data[T][\"rgbd\"], renderer.height, renderer.width),\n", + " # \"rgbd\": rendered_rgbds[0],\n", + " \"object_pose_0\": all_data[T][\"object_poses\"][IDX],\n", + " \"camera_pose\": all_data[T][\"camera_pose\"],\n", + " \"outlier_probability_background\": 1.0,\n", + " }\n", + ")\n", + "\n", + "trace = importance_jit(\n", + " key, \n", + " choicemap,\n", + " ({\"num_objects\": Pytree.const(1), \"meshes\": [meshes[IDX]], \"likelihood_args\": likelikood_args},)\n", + ")[0]\n", + "print(trace.get_score())\n", + "viz_trace(trace)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 826, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.1 0.2 0.01 0.002]\n", + "3570.5098\n" + ] + } + ], + "source": [ + "for arguments in [\n", + " # Pytree.const((\"outlier_probability_background\", \"lightness_variance_background\", \"color_variance_background\", \"depth_variance_background\",)),\n", + " Pytree.const((\"outlier_probability_0\", \"lightness_variance_0\", \"color_variance_0\", \"depth_variance_0\",)),\n", + "]:\n", + " key = jax.random.split(key, 2)[-1]\n", + " outlier_probability_sweep = jnp.linspace(0.01, 0.1, 30)\n", + " lightness_variance_sweep = jnp.linspace(0.2, 1.0, 20)\n", + " color_variance_sweep = jnp.linspace(0.01, 0.05, 15)\n", + " depth_variance_sweep = jnp.linspace(0.001, 0.002, 15)\n", + " # arguments = Pytree.const((\"outlier_probability_background\", \"lightness_variance_background\", \"color_variance_background\", \"depth_variance_background\",))\n", + " sweeps = [outlier_probability_sweep, lightness_variance_sweep, color_variance_sweep, depth_variance_sweep]\n", + "\n", + " scores = grid4(\n", + " trace, key,\n", + " arguments,\n", + " *sweeps\n", + " )\n", + " sampled_indices = jax.vmap(\n", + " jnp.unravel_index,\n", + " in_axes=(0,None)\n", + " )(jax.random.categorical(key, scores.reshape(-1),shape=(1000,)), scores.shape)\n", + " sampled_parameters = jnp.vstack([\n", + " sweep[indices]\n", + " for indices, sweep in zip(sampled_indices, sweeps)\n", + " ]).T\n", + "\n", + " print(sampled_parameters[0])\n", + " trace = b3d.update_choices(trace, key,\n", + " arguments,\n", + " # 0.05, 1.0, 0.02, 0.01\n", + " *sampled_parameters[0]\n", + " )\n", + " print(trace.get_score())\n", + " viz_trace(trace)\n", + " info_from_trace(trace)[\"score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 844, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115 1115\n", + " 1115 1115]\n", + "4420.2373\n" + ] + }, + { + "data": { + "text/plain": [ + "Array(4432.287, dtype=float32)" + ] + }, + "execution_count": 844, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "key = jax.random.split(key, 2)[-1]\n", + "N = 1000\n", + "B = 5\n", + "keys = jax.random.split(key, N*B)\n", + "\n", + "# sampled_poses = Pose.concatenate_poses([Pose.sample_gaussian_vmf_pose_vmap(\n", + "# keys, trace.get_choices()[\"object_pose_0\"], 0.05, 800.0,\n", + "# ), trace.get_choices()[\"object_pose_0\"][None,...]])\n", + "\n", + "sampled_poses = Pose.concatenate_poses([Pose.sample_gaussian_vmf_pose_vmap(\n", + " keys, trace.get_choices()[\"object_pose_0\"], 0.05, 800.0,\n", + ")])\n", + "\n", + "scores = jnp.concatenate([\n", + " b3d.enumerate_choices_get_scores(\n", + " trace,key, Pytree.const((\"object_pose_0\",)),\n", + " sampled_poses[k]\n", + " )\n", + " for k in jnp.array_split(jnp.arange(len(sampled_poses)), B)\n", + "])\n", + "\n", + "sampled_indices = jax.random.categorical(key, scores * 0.1 , shape=(100,))\n", + "print(sampled_indices)\n", + "new_trace = b3d.update_choices(trace, key, Pytree.const((\"object_pose_0\",)),\n", + " sampled_poses[sampled_indices[0]])\n", + "viz_trace(new_trace)\n", + "print(new_trace.get_score())\n", + "info_from_trace(new_trace)[\"score\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 466, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(0.47610688, dtype=float32)" + ] + }, + "execution_count": 466, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "print(((trace.get_retval()[\"latent_rgbd\"][...,3]>0) * info_from_trace(trace)[\"pixelwise_score\"]).mean())\n", + "print(((new_trace.get_retval()[\"latent_rgbd\"][...,3]>0) * info_from_trace(new_trace)[\"pixelwise_score\"]).mean())" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "XorChm(\n", + " c1=XorChm(\n", + " c1=XorChm(\n", + " c1=XorChm(c1=XorChm(c1=XorChm(c1=StaticChm(addr='outlier_probability', c=ValueChm(v=)), c2=StaticChm(addr='lightness_variance', c=ValueChm(v=))), c2=StaticChm(addr='color_variance', c=ValueChm(v=))), c2=StaticChm(addr='depth_variance', c=ValueChm(v=))),\n", + " c2=StaticChm(addr='object_pose_0', c=ValueChm(v=Pose(position=Array([-0.08521235, 0.00545534, 0.07130677], dtype=float32), quaternion=Array([ 0.6857101 , -0.02822381, 0.72732246, 0.00267684], dtype=float32)))),\n", + " ),\n", + " c2=StaticChm(\n", + " addr='camera_pose',\n", + " c=ValueChm(v=Pose(position=Array([-0.633828 , -0.20314899, 0.58637404], dtype=float32), quaternion=Array([ 0.72074157, -0.5602933 , 0.20024239, -0.3556768 ], dtype=float32))),\n", + " ),\n", + " ),\n", + " c2=StaticChm(\n", + " addr='rgbd',\n", + " c=ValueChm(\n", + " v=,\n", + " ),\n", + " ),\n", + ")" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "new_trace.get_choices()" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.79251724 0.5267895 1. 0.07235715]\n" + ] + }, + { + "data": { + "text/plain": [ + "(Array(0.79251724, dtype=float32),\n", + " Array(0.5267895, dtype=float32),\n", + " Array(1., dtype=float32),\n", + " Array(0.07235715, dtype=float32))" + ] + }, + "execution_count": 79, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trace = b3d.update_choices(\n", + " trace,\n", + " key,\n", + " arguments,\n", + " *sampled_parameters[0]\n", + ")\n", + "print(sampled_parameters[0])\n", + "trace.get_choices()[\"outlier_probability\"], trace.get_choices()[\"lightness_variance\"], trace.get_choices()[\"color_variance\"], trace.get_choices()[\"depth_variance\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(3, 2, 1)" + ] + }, + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "f(\n", + " trace, key,\n", + " Pytree.const((\"outlier_probability\", \"color_variance\", \"object_pose_0\")),\n", + " jnp.array([0.1, 0.2, 0.3]), jnp.array([0.2, 0.01]), all_data[0][\"object_poses\"][IDX][None,...]\n", + ").shape" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_trace(trace):\n", + " fig, ax = plt.subplots(1, 5, figsize=(10, 5))\n", + "\n", + " ax[0].imshow(trace.get_retval()[\"rendered_rgbd\"][..., :3])\n", + " ax[0].axis('off')\n", + "\n", + " ax[1].imshow(trace.get_retval()[\"sampled_rgbd\"][..., :3])\n", + " ax[1].axis('off')\n", + "\n", + " ax[2].matshow(trace.get_retval()[\"sampled_rgbd\"][..., 3])\n", + " ax[2].axis('off')\n", + "\n", + "\n", + " ax[3].imshow(trace.get_retval()[\"observed_rgbd\"][..., :3])\n", + " ax[3].axis('off')\n", + "\n", + "\n", + " ax[4].imshow(trace.get_retval()[\"observed_rgbd\"][..., :3],alpha=1.0)\n", + " ax[4].imshow(trace.get_retval()[\"rendered_rgbd\"][..., :3],alpha=0.5)\n", + " ax[4].axis('off')\n", + " return fig\n", + "\n", + "\n", + "def plot_interactive(trace):\n", + " def _make_viz(outlier_probability, inlier_lightness_variance, inlier_color_variance, inlier_depth_variance):\n", + " choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"outlier_probability\": outlier_probability,\n", + " \"inlier_lightness_variance\": inlier_lightness_variance,\n", + " \"inlier_color_variance\": inlier_color_variance,\n", + " \"inlier_depth_variance\": inlier_depth_variance,\n", + " }\n", + " )\n", + " modified_trace = update_jit(\n", + " key,\n", + " trace,\n", + " choicemap\n", + " )[0]\n", + " plot_trace(modified_trace)\n", + "\n", + " interact(_make_viz,\n", + " k = widgets.IntSlider(value=10000, min=1, max=100000, step=1),\n", + " outlier_probability = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"outlier_probability\"],\n", + " min=outlier_probability_sweep.min(),\n", + " max=outlier_probability_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_lightness_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_lightness_variance\"],\n", + " min=inlier_lightness_variance_sweep.min(),\n", + " max=inlier_lightness_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_color_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_color_variance\"],\n", + " min=inlier_color_variance_sweep.min(),\n", + " max=inlier_color_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_depth_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_depth_variance\"],\n", + " min=inlier_depth_variance_sweep.min(),\n", + " max=inlier_depth_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " )\n" + ] + }, + { + "cell_type": "code", + "execution_count": 132, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "@genjax.gen\n", + "def ray_model(args):\n", + " likelihood_args = args[\"likelihood_args\"]\n", + " pose = (\n", + " uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ f\"object_pose_0\"\n", + " )\n", + " rendered_rgbd = renderer.render_rgbd_from_mesh(meshes[IDX].transform(pose))\n", + " rendered_color_space_d = convert_rgbd_to_color_space(rendered_rgbd)\n", + "\n", + " k = likelihood_args[\"k\"].const\n", + " image_height, image_width = rendered_color_space_d.shape[0], rendered_color_space_d.shape[1]\n", + " image_height = Pytree.const(image_height)\n", + " image_width = Pytree.const(image_width)\n", + "\n", + " row_coordinates = genjax.categorical.vmap(in_axes=(0,))(\n", + " jnp.ones((k, image_height.const))\n", + " ) @ \"row_coordinates\"\n", + " column_coordinates = genjax.categorical.vmap(in_axes=(0,))(\n", + " jnp.ones((k, image_width.const))\n", + " ) @ \"column_coordinates\"\n", + "\n", + "\n", + " outlier_probability = genjax.uniform(0.0, 1.0) @ \"outlier_probability\"\n", + " inlier_color_variance = genjax.uniform(0.01, 100.0) @ \"inlier_color_variance\"\n", + " inlier_lightness_variance = genjax.uniform(0.01, 100.0) @ \"inlier_lightness_variance\"\n", + " inlier_depth_variance = genjax.uniform(0.01, 1000.0) @ \"inlier_depth_variance\"\n", + "\n", + " inlier_variances = jnp.array([inlier_lightness_variance, inlier_color_variance, inlier_color_variance, inlier_depth_variance])\n", + " outlier_variances = jnp.array([1000000.0, 1000000.0, 1000000.0, 1000000.0])\n", + "\n", + "\n", + " sampled_color_space_d = masked_k_image_likelihood_marginalize_outlier_prob.sample(\n", + " key,\n", + " row_coordinates,\n", + " column_coordinates,\n", + " rendered_color_space_d,\n", + " inlier_variances,\n", + " outlier_variances,\n", + " outlier_probability,\n", + " lower_bound, upper_bound,\n", + " image_height, image_width\n", + " )\n", + "\n", + " observed_color_space_d = masked_k_image_likelihood_marginalize_outlier_prob(\n", + " row_coordinates,\n", + " column_coordinates,\n", + " rendered_color_space_d,\n", + " inlier_variances,\n", + " outlier_variances,\n", + " outlier_probability,\n", + " lower_bound, upper_bound,\n", + " image_height, image_width\n", + " ) @ \"observed_color_space_d\"\n", + "\n", + " observed_rgbd = convert_color_space_to_rgbd(observed_color_space_d)\n", + " sampled_rgbd = convert_color_space_to_rgbd(sampled_color_space_d)\n", + "\n", + " return {\n", + " \"rendered_rgbd\": rendered_rgbd,\n", + " \"sampled_rgbd\": sampled_rgbd,\n", + " \"observed_rgbd\": observed_rgbd,\n", + "\n", + " \"rendered_color_space_d\": rendered_color_space_d,\n", + " \"sampled_color_space_d\": sampled_color_space_d,\n", + " \"observed_color_space_d\": observed_color_space_d,\n", + " }\n", + "\n", + "importance_jit = jax.jit(ray_model.importance)\n", + "update_jit = jax.jit(ray_model.update)\n", + "\n", + "\n", + "\n", + "\n", + "def plot_interactive(trace):\n", + " def _make_viz(outlier_probability, inlier_lightness_variance, inlier_color_variance, inlier_depth_variance):\n", + " choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"outlier_probability\": outlier_probability,\n", + " \"inlier_lightness_variance\": inlier_lightness_variance,\n", + " \"inlier_color_variance\": inlier_color_variance,\n", + " \"inlier_depth_variance\": inlier_depth_variance,\n", + " }\n", + " )\n", + " modified_trace = update_jit(\n", + " key,\n", + " trace,\n", + " choicemap\n", + " )[0]\n", + " plot_trace(modified_trace)\n", + "\n", + " interact(_make_viz,\n", + " k = widgets.IntSlider(value=10000, min=1, max=100000, step=1),\n", + " outlier_probability = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"outlier_probability\"],\n", + " min=outlier_probability_sweep.min(),\n", + " max=outlier_probability_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_lightness_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_lightness_variance\"],\n", + " min=inlier_lightness_variance_sweep.min(),\n", + " max=inlier_lightness_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_color_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_color_variance\"],\n", + " min=inlier_color_variance_sweep.min(),\n", + " max=inlier_color_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " inlier_depth_variance = widgets.FloatSlider(\n", + " value=trace.get_choices()[\"inlier_depth_variance\"],\n", + " min=inlier_depth_variance_sweep.min(),\n", + " max=inlier_depth_variance_sweep.max(),\n", + " step=0.01\n", + " ),\n", + " )\n", + "\n", + "@jax.jit\n", + "def update_parameters(\n", + " trace,\n", + " key,\n", + " outlier_probability,\n", + " inlier_lightness_variance,\n", + " inlier_color_variance,\n", + " inlier_depth_variance,\n", + "):\n", + " choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"outlier_probability\": outlier_probability,\n", + " \"inlier_lightness_variance\": inlier_lightness_variance,\n", + " \"inlier_color_variance\": inlier_color_variance,\n", + " \"inlier_depth_variance\": inlier_depth_variance,\n", + " }\n", + " )\n", + " return trace.update(\n", + " key, \n", + " choicemap,\n", + " )[0]\n", + "\n", + "@jax.jit\n", + "def update_parameters_get_score(\n", + " trace,\n", + " key,\n", + " outlier_probability,\n", + " inlier_lightness_variance,\n", + " inlier_color_variance,\n", + " inlier_depth_variance,\n", + "):\n", + " return update_parameters(\n", + " trace,\n", + " key,\n", + " outlier_probability,\n", + " inlier_lightness_variance,\n", + " inlier_color_variance,\n", + " inlier_depth_variance,\n", + " ).get_score()\n", + "\n", + "vmapped_grid = jax.jit(b3d.multivmap(update_parameters_get_score, args=(False, False, True, True, True, True)))\n", + "\n", + "\n", + "outlier_probability_sweep = jnp.linspace(0.0, 1.0, 30)\n", + "inlier_lightness_variance_sweep = jnp.linspace(1.0, 60.0, 20)\n", + "inlier_color_variance_sweep = jnp.linspace(1.0, 20.0, 20)\n", + "inlier_depth_variance_sweep = jnp.linspace(0.005, 0.04, 15)\n", + "\n", + "\n", + "key = jax.random.split(key, 2)[-1]\n", + "likelikood_args = {\n", + " \"fx\": fx,\n", + " \"fy\": fy,\n", + " \"k\": Pytree.const(20000),\n", + "}\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " {\n", + " \"outlier_probability\": 0.1,\n", + " \"inlier_lightness_variance\": 0.1,\n", + " \"inlier_color_variance\": 0.1,\n", + " \"inlier_depth_variance\": 0.1,\n", + " \"observed_color_space_d\": convert_rgbd_to_color_space(observed_rgbd_scaled_down),\n", + " }\n", + ")\n", + "\n", + "trace = importance_jit(\n", + " key, \n", + " choicemap,\n", + " ({\"likelihood_args\": likelikood_args},)\n", + ")[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 133, + "metadata": {}, + "outputs": [], + "source": [ + "T = 5\n", + "trace = b3d.update_choices(\n", + " trace,\n", + " key,\n", + " Pytree.const((\"object_pose_0\",)),\n", + " all_data[T][\"camera_pose\"].inv() @ all_data[T][\"object_poses\"][IDX]\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 134, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.03448275849223137, 38.26315689086914, 20.0, 0.03999999910593033]\n", + "-164811.3\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "be0a4bf032a54aeea1d7d8464fe2e185", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.03448275849223137, description='outlier_probability', max=1.0, step=…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "key = jax.random.split(key, 2)[-1]\n", + "\n", + "sweeps = [\n", + " outlier_probability_sweep,\n", + " inlier_lightness_variance_sweep,\n", + " inlier_color_variance_sweep,\n", + " inlier_depth_variance_sweep,\n", + "]\n", + "scores = vmapped_grid(\n", + " trace,\n", + " key,\n", + " *sweeps\n", + ")\n", + "sampled_indices = jax.vmap(\n", + " jnp.unravel_index,\n", + " in_axes=(0,None)\n", + ")(jax.random.categorical(key, scores.reshape(-1),shape=(100,)), scores.shape)\n", + "sampled_parameters = [\n", + " sweep[indices]\n", + " for indices, sweep in zip(sampled_indices, sweeps)\n", + "]\n", + "trace = update_parameters(\n", + " trace,\n", + " key,\n", + " *[param[0] for param in sampled_parameters]\n", + ")\n", + "print([i[0].item() for i in sampled_parameters])\n", + "print(trace.get_score())\n", + "plot_interactive(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-157607.31\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b52d53845b7741069069c2a62b68b87a", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "interactive(children=(FloatSlider(value=0.0, description='outlier_probability', max=1.0, step=0.01), FloatSlid…" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from b3d.bayes3d.enumerative_proposals import gvmf_and_select_best_move\n", + "\n", + "saved_trace = trace\n", + "potential_traces = []\n", + "for var in [0.03, 0.02, 0.01, 0.005, 0.03, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 700.0, \"object_pose_0\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 700.0, \"object_pose_0\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 1000.0, \"object_pose_0\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 1000.0, \"object_pose_0\", 700\n", + " )\n", + " potential_traces.append(trace)\n", + "scores = jnp.array([t.get_score() for t in potential_traces])\n", + "trace = potential_traces[scores.argmax()]\n", + "print(trace.get_score())\n", + "plot_interactive(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "rendered_rgbd = trace.get_retval()[\"rendered_rgbd\"]\n", + "observed_rgbd = trace.get_retval()[\"observed_rgbd\"]\n", + "rendered_color_space_d = trace.get_retval()[\"rendered_color_space_d\"]\n", + "observed_color_space_d = trace.get_retval()[\"observed_color_space_d\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-4.6051702\n", + "-4.528345\n" + ] + } + ], + "source": [ + "w = 100.0\n", + "print(jnp.log(1/w))\n", + "print(genjax.truncated_normal.logpdf(\n", + " 0.2 *w, 0.3 * w, 0.05 * w, -w/2, w/2\n", + "))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "trace.get_retval()[\"observed_color_space_d\"].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "no_mesh_surface = (rendered_labd[...,3] == 0.0)\n", + "\n", + "inlier_variances = jnp.array([60.0, 60.0, 60.0, 0.6])\n", + "\n", + "lower_bound = jnp.array([0.0, -100.0, -100.0, 0.0])\n", + "upper_bound = jnp.array([100.0, 100.0, 100.0, 20.0])\n", + "\n", + "outlier_variances = jnp.ones(4) * 1000000.0\n", + "\n", + "scores_inlier = jax.vmap(genjax.truncated_normal.logpdf, in_axes=(0, 0, None, None, None))(\n", + " observed_labd.reshape(-1, 4), rendered_labd.reshape(-1,4), inlier_variances,\n", + " lower_bound, upper_bound\n", + ")\n", + "scores_outlier = jax.vmap(genjax.truncated_normal.logpdf, in_axes=(0, None, None, None, None))(\n", + " observed_labd.reshape(-1, 4), (lower_bound + upper_bound) / 2.0, outlier_variances,\n", + " lower_bound, upper_bound\n", + ")\n", + "\n", + "scores_inlier_merged = jax.nn.logsumexp(scores_inlier[..., :3] + jnp.log(1/3), axis=-1) + scores_inlier[..., 3]\n", + "scores_outlier_merged = jax.nn.logsumexp(scores_outlier[..., :3] + jnp.log(1/3), axis=-1) + scores_outlier[..., 3]\n", + "\n", + "plt.imshow((scores_inlier_merged - scores_outlier_merged).reshape(renderer.height, renderer.width))\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rendered_labd = trace.get_retval()[\"rendered_color_space_d\"]\n", + "observed_labd = trace.get_retval()[\"observed_color_space_d\"]\n", + "\n", + "rendered_labd = trace.get_retval()[\"rendered_color_space_d\"]\n", + "observed_labd = trace.get_retval()[\"observed_color_space_d\"]\n", + "rr.set_time_sequence(\"time\", 0)\n", + "rr.log(\n", + " \"image\", rr.Image(trace.get_retval()[\"observed_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_rgbd\", rr.Image(trace.get_retval()[\"rendered_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/sampled_rgbd\", rr.Image(trace.get_retval()[\"sampled_rgbd\"][...,:3]),\n", + ")\n", + "\n", + "rr.log(\n", + " \"image/labd\", rr.Image(trace.get_retval()[\"observed_color_space_d\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_labd\", rr.Image(trace.get_retval()[\"rendered_color_space_d\"][...,:3]),\n", + ")\n", + "\n", + "rr.log(\n", + " \"image/error\", rr.DepthImage((rendered_labd[..., 0] - observed_labd[..., 0]) * (rendered_labd[..., 3] > 0))\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rendered_labd = trace.get_retval()[\"rendered_color_space_d\"]\n", + "observed_labd = trace.get_retval()[\"observed_color_space_d\"]\n", + "rr.set_time_sequence(\"time\", 0)\n", + "rr.log(\n", + " \"image\", rr.Image(trace.get_retval()[\"observed_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_rgbd\", rr.Image(trace.get_retval()[\"rendered_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/sampled_rgbd\", rr.Image(trace.get_retval()[\"sampled_rgbd\"][...,:3]),\n", + ")\n", + "\n", + "rr.log(\n", + " \"image/labd\", rr.Image(trace.get_retval()[\"observed_color_space_d\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_labd\", rr.Image(trace.get_retval()[\"rendered_color_space_d\"][...,:3]),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rr.set_time_sequence(\"time\", 0)\n", + "rr.log(\n", + " \"image\", rr.Image(trace.get_retval()[\"observed_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_rgbd\", rr.Image(trace.get_retval()[\"rendered_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/sampled_rgbd\", rr.Image(trace.get_retval()[\"sampled_rgbd\"][...,:3]),\n", + ")\n", + "\n", + "rr.log(\n", + " \"image/labd\", rr.Image(trace.get_retval()[\"observed_labd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_labd\", rr.Image(trace.get_retval()[\"rendered_labd\"][...,:3]),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rr.set_time_sequence(\"time\", 0)\n", + "rr.log(\n", + " \"image\", rr.Image(trace.get_retval()[\"observed_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_rgbd\", rr.Image(trace.get_retval()[\"rendered_rgbd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/sampled_rgbd\", rr.Image(trace.get_retval()[\"sampled_rgbd\"][...,:3]),\n", + ")\n", + "\n", + "rr.log(\n", + " \"image/labd\", rr.Image(trace.get_retval()[\"observed_labd\"][...,:3]),\n", + ")\n", + "rr.log(\n", + " \"image/rendered_labd\", rr.Image(trace.get_retval()[\"rendered_labd\"][...,:3]),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sampled_indices" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "rendered_rgbd = trace.get_retval()[\"rendered_rgbd\"]\n", + "observed_rgbd = trace.get_retval()[\"observed_rgbd\"]\n", + "mask = rendered_rgbd[..., 3] > 0.0\n", + "rendered_depth= rendered_rgbd[..., 3]\n", + "observed_depth = observed_rgbd[..., 3]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.rr_init(\"interactive\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "rr.log(\"depth\", rr.DepthImage(rendered_rgbd[..., 3]))\n", + "rr.log(\"depth/observed\", rr.DepthImage(observed_rgbd[..., 3]))\n", + "rr.log(\"depth/error\", rr.DepthImage((rendered_depth- observed_depth) * mask))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "inlier_color_variance_sweep" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "outlier_probability_sweep" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "plot_interactive(trace)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "sampled_indices.shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "scores = vmapped_grid(\n", + " trace,\n", + " key,\n", + " outlier_probability_sweep,\n", + " inlier_lightness_variance_sweep,\n", + " inlier_color_variance_sweep,\n", + " inlier_depth_variance_sweep\n", + ")\n", + "print(scores.shape)\n", + "samples = jax.random.categorical(key, scores.reshape(-1),shape=(100,))\n", + "print(samples)\n", + "\n", + "\n", + "sample_index=1\n", + "print(\n", + " \"Outlier Probability\", outlier_probability_sweep[indices[0][sample_index]], \"\\n\",\n", + " \"Inlier Lightness Variance\", inlier_lightness_variance_sweep[indices[1][sample_index]], \"\\n\",\n", + " \"Inlier Color Variance\", inlier_color_variance_sweep[indices[2][sample_index]], \"\\n\",\n", + " \"Inlier Depth Variance\", inlier_depth_variance_sweep[indices[3][sample_index]], \"\\n\",\n", + ")\n", + "interact(\n", + " plot,\n", + " k = widgets.IntSlider(value=10000, min=1, max=100000, step=1),\n", + " outlier_probability = widgets.FloatSlider(value=outlier_probability_sweep[indices[0][sample_index]], min=0.01, max=1.0, step=0.01),\n", + " inlier_lightness_variance = widgets.FloatSlider(value=inlier_lightness_variance_sweep[indices[1][sample_index]], min=0.1, max=100.0, step=0.01),\n", + " inlier_color_variance = widgets.FloatSlider(value=inlier_color_variance_sweep[indices[2][sample_index]], min=0.1, max=100.0, step=0.01),\n", + " inlier_depth_variance = widgets.FloatSlider(value=inlier_depth_variance_sweep[indices[3][sample_index]], min=0.0001, max=100.0, step=0.01),\n", + ")\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.en" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "for sample_index in range(len(indices[0])):\n", + " print(\n", + " \"Outlier Probability\", outlier_probability_sweep[indices[0][sample_index]], \"\\n\",\n", + " \"Inlier Lightness Variance\", inlier_lightness_variance_sweep[indices[1][sample_index]], \"\\n\",\n", + " \"Inlier Color Variance\", inlier_color_variance_sweep[indices[2][sample_index]], \"\\n\",\n", + " \"Inlier Depth Variance\", inlier_depth_variance_sweep[indices[3][sample_index]], \"\\n\",\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Matched\n", + "Outlier Probability 0.120000005 \n", + " Inlier Lightness Variance 50.0 \n", + " Inlier Color Variance 32.14286 \n", + " Inlier Depth Variance 0.1 \n", + "\n", + "# Mismatched\n", + "Outlier Probability 0.120000005 \n", + " Inlier Lightness Variance 100.0 \n", + " Inlier Color Variance 52.500004 \n", + " Inlier Depth Variance 0.1 " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "trace.get_choices()[\"noisy_lab_color\",...].shape" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } }, - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from ipywidgets import interact, interactive, fixed, interact_manual\n", - "from ipywidgets import FloatSlider\n", - "\n", - "rr.set_time_sequence(\"time\", 0)\n", - "cu = False\n", - "interact(\n", - " visualize_posterior_samples,\n", - " color_variance=FloatSlider(\n", - " value=0.13, min=0.001, max=0.5, step=0.001, continuous_update=cu\n", - " ),\n", - " depth_variance=FloatSlider(\n", - " value=0.06, min=0.001, max=0.5, step=0.001, continuous_update=cu\n", - " ),\n", - " outlier_prob=FloatSlider(\n", - " value=0.001, min=0.00001, max=1.0, step=0.05, continuous_update=cu\n", - " ),\n", - " outlier_volume=FloatSlider(\n", - " value=1.0, min=1.0, max=10.0, step=1.0, continuous_update=cu\n", - " ),\n", - " multiplier=FloatSlider(\n", - " value=100.0, min=1.0, max=200.0, step=1.0, continuous_update=cu\n", - " ),\n", - " split_poses=fixed(split_poses),\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(Array([-6.003183 , -5.982863 , -5.952487 , ..., -5.967316 , -5.9038825,\n", - " -5.699437 ], dtype=float32),\n", - " Array(-5.699437, dtype=float32))" - ] - }, - "execution_count": 33, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scores, scores.max()" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 102, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095 14095\n", - " 14095 14095 14095 14095]\n" - ] - } - ], - "source": [ - "print(sampled_indices)\n", - "pose_samples = test_poses[sampled_indices]\n", - "images = renderer.render_rgbd_from_mesh(meshes[IDX].transform(pose_samples[0]))\n", - "images = jax.vmap(\n", - " lambda i: renderer.render_rgbd_from_mesh(meshes[IDX].transform(pose_samples[i]))\n", - ")(jnp.arange(len(pose_samples)))\n", - "\n", - "\n", - "for t in range(len(images)):\n", - " rr.set_time_sequence(\"time\", t)\n", - " rr.log(\n", - " \"image/rerender\",\n", - " rr.Image(images[t][..., :3]),\n", - " )" - ] - }, - { - "cell_type": "code", - "execution_count": 104, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Array(2492.451, dtype=float32)" - ] - }, - "execution_count": 104, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scores.max()" - ] - }, - { - "cell_type": "code", - "execution_count": 103, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Array([-6.0253487, -6.025215 , 86.84036 , ..., -3.1231146, 3.211216 ,\n", - " 99.93143 ], dtype=float32)" - ] - }, - "execution_count": 103, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "scores" - ] - }, - { - "cell_type": "code", - "execution_count": 75, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Array([2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138, 2138,\n", - " 2138], dtype=int32)" - ] - }, - "execution_count": 75, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 72, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "b3d", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.12.4" - } - }, - "nbformat": 4, - "nbformat_minor": 2 + "nbformat": 4, + "nbformat_minor": 2 } diff --git a/notebooks/bayes3d_paper/kitti.ipynb b/notebooks/bayes3d_paper/kitti.ipynb index a56fdb70..70f89f61 100644 --- a/notebooks/bayes3d_paper/kitti.ipynb +++ b/notebooks/bayes3d_paper/kitti.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 62, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -10,14 +10,13 @@ "import b3d\n", "import os\n", "import jax.numpy as jnp\n", - "import matplotlib.pyplot as plt\n", "from tqdm import tqdm\n", "import genjax\n", "from b3d import Mesh, Pose\n", "import rerun as rr\n", "import jax\n", "from genjax import Pytree\n", - "from tqdm import tqdm\n", + "import matplotlib.pyplot as plt\n", "b3d.rr_init(\"kitti\")" ] }, @@ -27,10 +26,7 @@ "metadata": {}, "outputs": [], "source": [ - "kitti_data_path = b3d.get_assets_path() / \"shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.npz\"\n", - "kitti_mesh_path = b3d.get_assets_path() / \"shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.obj\"\n", - "data = jnp.load(kitti_data_path)\n", - "mesh = b3d.Mesh.from_obj(kitti_mesh_path)" + "b3d.reload(b3d.mesh)" ] }, { @@ -39,7 +35,17 @@ "metadata": {}, "outputs": [], "source": [ - "key = jax.random.PRNGKey(0)" + "kitti_data_path = b3d.get_assets_path() / \"shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.npz\"\n", + "data = jnp.load(kitti_data_path)\n", + "rgbd = jnp.concatenate([data[\"rgb\"], data[\"depths\"][...,None]], axis=-1)\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "height, width = data[\"rgb\"][0].shape[:2]\n", + "fx,fy,cx,cy,near,far = data[\"camera_intrinsics\"]\n", + "scaling_factor = 0.3\n", + "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", + " width * scaling_factor, height * scaling_factor, fx * scaling_factor, fy * scaling_factor, cx * scaling_factor, cy * scaling_factor, 0.01, 2.0\n", + ")\n" ] }, { @@ -50,77 +56,83 @@ "source": [ "import b3d.chisight.dense.likelihoods.image_likelihood\n", "import b3d.chisight.dense.likelihoods.simple_likelihood\n", + "import b3d.chisight.dense.dense_model\n", "intermediate_likelihood_func = b3d.chisight.dense.likelihoods.simple_likelihood.simple_likelihood\n", - "image_likelihood = b3d.chisight.dense.likelihoods.image_likelihood.make_image_likelihood(\n", - " intermediate_likelihood_func,\n", - ")" + "b3d.reload(b3d.chisight.dense.dense_model)\n", + "model, viz_trace, info_from_trace = b3d.chisight.dense.dense_model.make_dense_multiobject_model(renderer, intermediate_likelihood_func)\n", + "importance_jit = jax.jit(model.importance)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ - "height, width = data[\"rgb\"][0].shape[:2]\n", - "fx,fy,cx,cy,near,far = data[\"camera_intrinsics\"]\n", - "scaling_factor = 0.3\n", - "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", - " width * scaling_factor, height * scaling_factor, fx * scaling_factor, fy * scaling_factor, cx * scaling_factor, cy * scaling_factor, 0.01, 2.0\n", - ")" + "xyz = b3d.xyz_from_depth(data[\"depths\"][0], fx, fy, cx, cy)[data[\"masks\"][0]]\n", + "rgb = data[\"rgb\"][0][data[\"masks\"][0]]\n", + "m = xyz[...,2] > 0\n", + "xyz = xyz[m]\n", + "rgb = rgb[m]\n", + "m = b3d.segment_point_cloud(xyz, threshold=0.2) == 0\n", + "xyz = xyz[m]\n", + "rgb = rgb[m]\n", + "dimensions = jnp.ones((len(xyz), 3)) * (xyz[...,2] * 4.0 / fx)[...,None]\n", + "mesh = b3d.mesh.Mesh.mesh_from_xyz_colors_dimensions(xyz, rgb, dimensions)\n", + "mesh.rr_visualize(\"mesh\")\n", + "mesh.save(\"kitti_initial_data.obj\")" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d/lib/python3.12/pty.py:95: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.\n", + " pid, fd = os.forkpty()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/home/nishadgothoskar/b3d/notebooks/bayes3d_paper\n" + ] + } + ], "source": [ - "rgbd = jnp.concatenate([data[\"rgb\"], data[\"depths\"][...,None]], axis=-1)" + "!pwd" ] }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 14, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "KeyError", + "evalue": "'object_position is not a file in the archive'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 4\u001b[0m\n\u001b[1;32m 1\u001b[0m choicemap \u001b[38;5;241m=\u001b[39m genjax\u001b[38;5;241m.\u001b[39mChoiceMap\u001b[38;5;241m.\u001b[39md(\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 3\u001b[0m [\n\u001b[0;32m----> 4\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mobject_pose_0\u001b[39m\u001b[38;5;124m\"\u001b[39m, Pose(\u001b[43mdata\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mobject_position\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m[\u001b[38;5;241m0\u001b[39m], data[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mobject_quaternion\u001b[39m\u001b[38;5;124m\"\u001b[39m][\u001b[38;5;241m0\u001b[39m])),\n\u001b[1;32m 5\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcamera_pose\u001b[39m\u001b[38;5;124m\"\u001b[39m, Pose\u001b[38;5;241m.\u001b[39midentity()),\n\u001b[1;32m 6\u001b[0m (\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrgbd\u001b[39m\u001b[38;5;124m\"\u001b[39m, \n\u001b[1;32m 7\u001b[0m b3d\u001b[38;5;241m.\u001b[39mutils\u001b[38;5;241m.\u001b[39mresize_image(\n\u001b[1;32m 8\u001b[0m rgbd[\u001b[38;5;241m0\u001b[39m], renderer\u001b[38;5;241m.\u001b[39mheight, renderer\u001b[38;5;241m.\u001b[39mwidth\n\u001b[1;32m 9\u001b[0m )\n\u001b[1;32m 10\u001b[0m )\n\u001b[1;32m 11\u001b[0m ]\n\u001b[1;32m 12\u001b[0m )\n\u001b[1;32m 13\u001b[0m )\n\u001b[1;32m 16\u001b[0m likelihood_args\u001b[38;5;241m=\u001b[39m {\n\u001b[1;32m 17\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124minlier_score\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m20.0\u001b[39m,\n\u001b[1;32m 18\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcolor_tolerance\u001b[39m\u001b[38;5;124m\"\u001b[39m: \u001b[38;5;241m20.0\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mfar\u001b[39m\u001b[38;5;124m\"\u001b[39m: renderer\u001b[38;5;241m.\u001b[39mfar,\n\u001b[1;32m 27\u001b[0m }\n\u001b[1;32m 29\u001b[0m trace, _ \u001b[38;5;241m=\u001b[39m importance_jit(\n\u001b[1;32m 30\u001b[0m jax\u001b[38;5;241m.\u001b[39mrandom\u001b[38;5;241m.\u001b[39mPRNGKey(\u001b[38;5;241m2\u001b[39m),\n\u001b[1;32m 31\u001b[0m choicemap,\n\u001b[1;32m 32\u001b[0m ({\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnum_objects\u001b[39m\u001b[38;5;124m\"\u001b[39m: Pytree\u001b[38;5;241m.\u001b[39mconst(\u001b[38;5;241m1\u001b[39m), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmeshes\u001b[39m\u001b[38;5;124m\"\u001b[39m: [mesh], \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mlikelihood_args\u001b[39m\u001b[38;5;124m\"\u001b[39m: likelihood_args},),\n\u001b[1;32m 33\u001b[0m )\n", + "File \u001b[0;32m/opt/conda/envs/b3d/lib/python3.12/site-packages/numpy/lib/npyio.py:263\u001b[0m, in \u001b[0;36mNpzFile.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 261\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mzip\u001b[38;5;241m.\u001b[39mread(key)\n\u001b[1;32m 262\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m--> 263\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mkey\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m is not a file in the archive\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mKeyError\u001b[0m: 'object_position is not a file in the archive'" + ] + } + ], "source": [ - "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", - "@genjax.gen\n", - "def dense_model(args_dict):\n", - " meshes = args_dict[\"meshes\"]\n", - " likelihood_args = args_dict[\"likelihood_args\"]\n", - " object_pose = uniform_pose(jnp.ones(3)*-100.0, jnp.ones(3)*100.0) @ f\"object_pose_0\"\n", - " all_poses = Pose.stack_poses([object_pose])\n", - "\n", - " scene_mesh = Mesh.transform_and_merge_meshes(meshes, all_poses)\n", - " latent_rgbd = renderer.render_rgbd_from_mesh(scene_mesh)\n", - " image = image_likelihood(latent_rgbd, likelihood_args) @ \"image\"\n", - " return {\"scene_mesh\": scene_mesh, \"latent_rgbd\": latent_rgbd, \"image\": image}\n", - "\n", - "def viz_trace(trace, t=0):\n", - " rr.set_time_sequence(\"time\", t)\n", - "\n", - " intermediate_info = intermediate_likelihood_func(\n", - " trace.get_choices()[\"image\"],\n", - " trace.get_retval()[\"latent_rgbd\"], \n", - " trace.get_args()[0][\"likelihood_args\"]\n", - " )\n", - "\n", - " rr.log(\"rgb\", rr.Image(trace.get_choices()[\"image\"][...,:3]))\n", - " rr.log(\"rgb/depth/observed\", rr.DepthImage(trace.get_choices()[\"image\"][...,3]))\n", - " rr.log(\"rgb/depth/latent\", rr.DepthImage(trace.get_retval()[\"latent_rgbd\"][...,3]))\n", - " rr.log(\"rgb/latent\", rr.Image(trace.get_retval()[\"latent_rgbd\"][...,:3]))\n", - " rr.log(\"rgb/is_match\", rr.DepthImage(intermediate_info[\"is_match\"] * 1.0))\n", - " rr.log(\"rgb/color_match\", rr.DepthImage(intermediate_info[\"color_match\"] * 1.0))\n", - "\n", - "importance_jit = jax.jit(dense_model.importance)\n", - "\n", "choicemap = genjax.ChoiceMap.d(\n", " dict(\n", " [\n", " (\"object_pose_0\", Pose(data[\"object_position\"][0], data[\"object_quaternion\"][0])),\n", - " (\"image\", \n", + " (\"camera_pose\", Pose.identity()),\n", + " (\"rgbd\", \n", " b3d.utils.resize_image(\n", " rgbd[0], renderer.height, renderer.width\n", " )\n", @@ -141,27 +153,12 @@ " \"fx\": renderer.fx,\n", " \"fy\": renderer.fy,\n", " \"far\": renderer.far,\n", - "}\n" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "11199.132\n" - ] - } - ], - "source": [ + "}\n", + "\n", "trace, _ = importance_jit(\n", " jax.random.PRNGKey(2),\n", " choicemap,\n", - " ({\"meshes\": [mesh], \"likelihood_args\": likelihood_args},),\n", + " ({\"num_objects\": Pytree.const(1), \"meshes\": [mesh], \"likelihood_args\": likelihood_args},),\n", ")\n", "print(trace.get_score())\n", "viz_trace(trace, 0)" @@ -169,64 +166,45 @@ }, { "cell_type": "code", - "execution_count": 50, - "metadata": {}, - "outputs": [], - "source": [ - "t = 1\n", - "trace = b3d.update_choices_jit(trace, jax.random.PRNGKey(0), Pytree.const((\"image\",)),\n", - " b3d.utils.resize_image(rgbd[t], renderer.height, renderer.width),\n", - ")\n", - "viz_trace(trace,t)" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10318.408\n" - ] - } - ], - "source": [ - "trace, key = b3d.bayes3d.enumerative_proposals.gvmf_and_select_best_move(\n", - " trace, key, 1.0, 700.0, \"object_pose_0\", 700\n", - ")\n", - "trace, key = b3d.bayes3d.enumerative_proposals.gvmf_and_select_best_move(\n", - " trace, key, 0.5, 1000.0, \"object_pose_0\", 700\n", - ")\n", - "trace, key = b3d.bayes3d.enumerative_proposals.gvmf_and_select_best_move(\n", - " trace, key, 0.1, 2000.0, \"object_pose_0\", 700\n", - ")\n", - "print(trace.get_score())\n", - "viz_trace(trace,t)" - ] - }, - { - "cell_type": "code", - "execution_count": 65, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "13969.692\n", - "16875.416\n", - "12323.427\n", - "13503.892\n", - "11741.788\n", - "13965.926\n", - "12113.416\n", - "4425.032\n", - "6418.929\n", - "4038.6338\n", - "14941.854\n" + "8796.027\n", + "11008.357\n", + "11606.063\n", + "12064.656\n", + "10615.998\n", + "11465.843\n", + "8864.728\n", + "9293.64\n", + "5547.0967\n", + "4936.7686\n", + "13050.074\n", + "2636.0881\n", + "3533.2173\n", + "3774.4438\n", + "5252.213\n", + "2145.0554\n", + "3039.5251\n", + "2340.28\n", + "2047.909\n", + "2077.874\n", + "2659.8708\n", + "2971.4863\n", + "2801.2527\n", + "-12.050198\n", + "-12.050198\n", + "-12.050198\n", + "-12.050198\n", + "-12.050198\n", + "-12.050198\n", + "879.7902\n", + "1542.2672\n", + "1633.2189\n" ] } ], @@ -234,12 +212,13 @@ "trace, _ = importance_jit(\n", " jax.random.PRNGKey(2),\n", " choicemap,\n", - " ({\"meshes\": [mesh], \"likelihood_args\": likelihood_args},),\n", + " ({\"num_objects\": Pytree.const(1), \"meshes\": [mesh], \"likelihood_args\": likelihood_args},),\n", ")\n", "print(trace.get_score())\n", "viz_trace(trace, 0)\n", + "traces = []\n", "for t in range(0,len(rgbd)):\n", - " trace = b3d.update_choices_jit(trace, jax.random.PRNGKey(0), Pytree.const((\"image\",)),\n", + " trace = b3d.update_choices(trace, jax.random.PRNGKey(0), Pytree.const((\"rgbd\",)),\n", " b3d.utils.resize_image(rgbd[t], renderer.height, renderer.width),\n", " )\n", " trace, key = b3d.bayes3d.enumerative_proposals.gvmf_and_select_best_move(\n", @@ -252,24 +231,48 @@ " trace, key, 0.1, 2000.0, \"object_pose_0\", 700\n", " )\n", " print(trace.get_score())\n", - " viz_trace(trace,t)" + " viz_trace(trace,t)\n", + " traces.append(trace)" ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import importlib\n", + "importlib.reload(b3d.utils)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, "metadata": {}, "outputs": [], "source": [ - "[\n", - " b3d.viz_rgb(trace.get_chioces()[\"image\"]),\n", - " b3d.viz_depth(trace.get_retval()[\"latent_rgbd\"]),\n", - " b3d.overlay_image(\n", - " b3d.viz_rgb(trace.get_chioces()[\"image\"]),\n", - " b3d.viz_depth(trace.get_retval()[\"latent_rgbd\"]),\n", - " )\n", - "]\n", - "for trace in traces" + "b3d.make_video_from_pil_images(\n", + " [b3d.utils.vstack_images([\n", + " b3d.viz_rgb(trace.get_choices()[\"image\"]),\n", + " b3d.viz_rgb(trace.get_retval()[\"latent_rgbd\"]),\n", + " b3d.overlay_image(\n", + " b3d.viz_rgb(trace.get_choices()[\"image\"]),\n", + " b3d.viz_rgb(trace.get_retval()[\"latent_rgbd\"]),\n", + " )\n", + " ]) for trace in traces],\n", + " \"kitti_tracking.mp4\"\n", + ")" ] }, { diff --git a/notebooks/bayes3d_paper/kitti_data.py b/notebooks/bayes3d_paper/kitti_data.py index bbebbe1f..5aa3bea8 100644 --- a/notebooks/bayes3d_paper/kitti_data.py +++ b/notebooks/bayes3d_paper/kitti_data.py @@ -1,17 +1,18 @@ -import pykitti -import b3d import os + +import b3d import jax.numpy as jnp -import matplotlib.pyplot as plt +import numpy as np +import pykitti +from segment_anything import SamAutomaticMaskGenerator, sam_model_registry from tqdm import tqdm -import jax b3d.rr_init("kitti") basedir = os.path.join(b3d.get_assets_path(), "kitti") date = "2011_09_26" drive = "0005" -frames = range(0, 50, 5) +frames = range(0, 153, 2) dataset = pykitti.raw(basedir, date, drive, frames=frames) @@ -50,7 +51,6 @@ b3d.rr.log("rgb", b3d.rr.Image(rgbs[t])) b3d.rr.log("depth", b3d.rr.DepthImage(depths[t])) -from segment_anything import SamAutomaticMaskGenerator, sam_model_registry sam_checkpoint = "sam_vit_h_4b8939.pth" model_type = "vit_h" @@ -60,7 +60,6 @@ sam = sam_model_registry[model_type](checkpoint=sam_checkpoint) sam.to(device=device) mask_generator = SamAutomaticMaskGenerator(sam) -import numpy as np masks = mask_generator.generate(np.array(rgbs[0])) @@ -72,37 +71,7 @@ CORRECT_MASK_INDEX = 0 -mask = jnp.array(masks[0]["segmentation"]) - -xyzs = b3d.xyz_from_depth(depths[0], fx, fy, cx, cy)[mask] -colors = rgbs[0][mask] -colors = colors[xyzs.sum(-1) > 0] -xyzs = xyzs[xyzs.sum(-1) > 0] - -resolution = 0.05 -meshes = b3d.mesh.transform_mesh( - jax.vmap(b3d.mesh.Mesh.cube_mesh)( - jnp.ones((xyzs.shape[0], 3)) * resolution * 2.0, colors / 255.0 - ), - b3d.Pose.from_translation(xyzs)[:, None], -) -full_mesh = b3d.mesh.Mesh.squeeze_mesh(meshes) -full_mesh.rr_visualize("mesh") - -pose = b3d.Pose.from_translation(full_mesh.vertices.mean(0)) -full_mesh.vertices = pose.inv().apply(full_mesh.vertices) -full_mesh.rr_visualize("mesh") - -renderer = b3d.RendererOriginal(width, height, fx, fy, cx, cy, 0.01, 100.0) -rgbd = renderer.render_rgbd_from_mesh(full_mesh.transform(pose)) -b3d.rr.log("rerender", b3d.rr.Image(rgbd[..., :3])) - -b3d.rr.log("rerender/depth", b3d.rr.DepthImage(rgbd[..., 3])) - -rgbs = jnp.array(rgbs) -depths = jnp.array(depths) -mask.shape - +masks_jnp = jnp.array([mask["segmentation"] for mask in masks]) kitti_data_path = ( b3d.get_assets_path() @@ -113,21 +82,67 @@ rgb=np.array(rgbs) / 255.0, depths=np.array(depths), camera_intrinsics=np.array([fx, fy, cx, cy, 0.001, 100.0]), - object_position=np.array(pose.pos[None, ...]), - object_quaternion=np.array(pose.quat[None, ...]), - mask=np.array(mask[None, ...]), -) - -kitti_mesh_path = ( - b3d.get_assets_path() - / "shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.obj" + masks=np.array(masks_jnp), ) -full_mesh.save(kitti_mesh_path) - -import numpy as np -import b3d - -d = np.load(kitti_data_path) -for i, v in d.items(): - print(i, v.shape) +# xyzs = b3d.xyz_from_depth(depths[0], fx, fy, cx, cy)[mask] +# colors = rgbs[0][mask] +# colors = colors[xyzs.sum(-1) > 0] +# xyzs = xyzs[xyzs.sum(-1) > 0] +# m = b3d.segment_point_cloud(xyzs, threshold=0.2) == 0 + +# xyzs = xyzs[m] +# colors = colors[m] + +# resolution = 0.05 +# meshes = b3d.mesh.transform_mesh( +# jax.vmap(b3d.mesh.Mesh.cube_mesh)( +# jnp.ones((xyzs.shape[0], 3)) * resolution * 2.0, colors / 255.0 +# ), +# b3d.Pose.from_translation(xyzs)[:, None], +# ) +# full_mesh = b3d.mesh.Mesh.squeeze_mesh(meshes) +# full_mesh.rr_visualize("mesh") + +# pose = b3d.Pose.from_translation(full_mesh.vertices.mean(0)) +# full_mesh.vertices = pose.inv().apply(full_mesh.vertices) +# full_mesh.rr_visualize("mesh") + +# renderer = b3d.RendererOriginal(width, height, fx, fy, cx, cy, 0.01, 100.0) +# rgbd = renderer.render_rgbd_from_mesh(full_mesh.transform(pose)) +# b3d.rr.log("rerender", b3d.rr.Image(rgbd[..., :3])) + +# b3d.rr.log("rerender/depth", b3d.rr.DepthImage(rgbd[..., 3])) + +# rgbs = jnp.array(rgbs) +# depths = jnp.array(depths) +# mask.shape + + +# kitti_data_path = ( +# b3d.get_assets_path() +# / "shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.npz" +# ) +# np.savez( +# kitti_data_path, +# rgb=np.array(rgbs) / 255.0, +# depths=np.array(depths), +# camera_intrinsics=np.array([fx, fy, cx, cy, 0.001, 100.0]), +# object_position=np.array(pose.pos[None, ...]), +# object_quaternion=np.array(pose.quat[None, ...]), +# mask=np.array(mask[None, ...]), +# ) + +# kitti_mesh_path = ( +# b3d.get_assets_path() +# / "shared_data_bucket/foundation_pose_tracking_datasets/kitti_initial_data.obj" +# ) +# full_mesh.save(kitti_mesh_path) + +# import numpy as np +# import b3d + +# d = np.load(kitti_data_path) + +# for i, v in d.items(): +# print(i, v.shape) diff --git a/notebooks/bayes3d_paper/likelihood_breaking_ray_likelihood.ipynb b/notebooks/bayes3d_paper/likelihood_breaking_ray_likelihood.ipynb new file mode 100644 index 00000000..257b89a8 --- /dev/null +++ b/notebooks/bayes3d_paper/likelihood_breaking_ray_likelihood.ipynb @@ -0,0 +1,879 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.numpy as jnp\n", + "import b3d\n", + "import os\n", + "import trimesh\n", + "import matplotlib.pyplot as plt\n", + "import jax\n", + "import numpy as np" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d/lib/python3.11/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0)\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in [9]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def gaussian_logpdf(obs_image, rendered_image, b, multiplier, a, outlier_prob):\n", + " probabilities = jax.scipy.stats.norm.logpdf(obs_image, rendered_image, multiplier)\n", + " probabilities_adjusted = jnp.logaddexp(\n", + " probabilities + jnp.log(1.0 - outlier_prob), jnp.log(outlier_prob)\n", + " )\n", + " return probabilities_adjusted.sum()\n", + "\n", + "\n", + "def gaussian_sample(key, rendered_image, b, multiplier, a, outlier_prob):\n", + " return (\n", + " jax.random.normal(key, shape=rendered_image.shape) * multiplier + rendered_image\n", + " )\n", + "\n", + "\n", + "def new_logpdf(\n", + " observed_rgb,\n", + " rendered_rgb,\n", + " rendered_depth,\n", + " multiplier,\n", + " color_tolerance,\n", + " outlier_prob,\n", + "):\n", + " observed_lab = b3d.rgb_to_lab(observed_rgb)\n", + " rendered_lab = b3d.rgb_to_lab(rendered_rgb)\n", + " error = jnp.linalg.norm(\n", + " observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1\n", + " ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0])\n", + "\n", + " valid_data_mask = rendered_rgb.sum(-1) != 0.0\n", + "\n", + " color_inliers = (error < color_tolerance) * valid_data_mask\n", + " inliers = color_inliers\n", + " outliers = jnp.logical_not(inliers) * valid_data_mask\n", + " undecided = jnp.logical_not(inliers) * jnp.logical_not(outliers)\n", + "\n", + " corrected_depth = rendered_depth + (rendered_depth == 0.0) * 1.0\n", + " areas = (corrected_depth / fx) * (corrected_depth / fy)\n", + "\n", + " inlier_score = 4.0\n", + " return (\n", + " jnp.log(\n", + " # This is leaving out a 1/A (which does depend upon the scene)\n", + " inlier_score * jnp.sum(inliers * areas)\n", + " + 1.0 * jnp.sum(undecided * areas)\n", + " + outlier_prob * jnp.sum(outliers * areas)\n", + " )\n", + " * multiplier\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def new_ray_outlier_logpdf(\n", + " observed_rgb,\n", + " observed_depth,\n", + " rendered_rgb,\n", + " rendered_depth,\n", + " multiplier,\n", + " color_tolerance,\n", + " depth_tolerance,\n", + " ray_outlier_prob,\n", + "):\n", + " observed_lab = b3d.rgb_to_lab(observed_rgb)\n", + " rendered_lab = b3d.rgb_to_lab(rendered_rgb)\n", + " color_error = jnp.linalg.norm(\n", + " observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1\n", + " ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0])\n", + " depth_error = jnp.abs(observed_depth - rendered_depth)\n", + "\n", + " valid_data_mask = rendered_rgb.sum(-1) != 0.0\n", + "\n", + " color_inliers = (color_error < color_tolerance) * valid_data_mask\n", + " depth_inliers = (depth_error < depth_tolerance) * valid_data_mask\n", + " inliers = color_inliers * depth_inliers\n", + "\n", + " rendered_areas = (rendered_depth / fx) * (rendered_depth / fy)\n", + " observed_areas = (observed_depth / fx) * (observed_depth / fy)\n", + "\n", + " inlier_noise_density = 1 / (2 * color_tolerance)\n", + " inlier_branch_score = (\n", + " 1\n", + " / jnp.sum(rendered_areas)\n", + " * (inlier_noise_density * jnp.sum(inliers * rendered_areas))\n", + " )\n", + "\n", + " outlier_noise_density = 1 / (2 * depth_tolerance)\n", + " depth_max = 20\n", + " V = 1 / 3 * jnp.power(depth_max, 3) * h * w * 1 / (fx * fy)\n", + " outlier_branch_score = 1 / V * jnp.sum(observed_areas) * outlier_noise_density\n", + " return (\n", + " jnp.log(\n", + " (1 - ray_outlier_prob) * inlier_branch_score\n", + " + ray_outlier_prob * outlier_branch_score\n", + " )\n", + " * multiplier\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "point1 = jnp.array([-0.05, -0.25, 0])\n", + "point2 = jnp.array([0.2, 1.5, 0])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "alphas = jnp.linspace(-0.05, 1.5, 41)\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "linear_poses = vec_fun(point1, point2, alphas)\n", + "transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + ")(jnp.arange(len(linear_poses)))" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.concatenate([attributes, transformed_vertices[..., -1:]], axis=-1),\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "N = len(linear_poses)\n", + "\n", + "all_images = [\n", + " render_rgbd_many(\n", + " r,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + " for r in renderers\n", + "]\n", + "\n", + "\n", + "images = all_images[0]\n", + "gt_image = images[0]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "gt_near_ind = len(alphas) // 6\n", + "gt_far_ind = 4 * len(alphas) // 6\n", + "gt_image = images[gt_near_ind, ..., :3] + images[gt_far_ind, ..., :3]\n", + "gt_image_depth = np.array(images[gt_near_ind, ..., 3] + images[gt_far_ind, ..., 3])\n", + "gt_image_depth[gt_image_depth == 0] = 16.0\n", + "gt_image_depth = jnp.array(gt_image_depth)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Posterior Probability')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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oUdE6Q4cOVSm+SZMmSfZlYmKi0n7au3evqI0xY8aoFMu6desEZ2dntfZNjx49hPDwcJX606aKztsLFy4IPj4+Km3TrFmzJB90UlRUJHz//fcqfcfa2dmp9VAJQ05s2b9/v+Dq6qrSPq1Zs6ZC0pCmiS3nz59X+7v4xdfAgQPV2gdERERERERk2HQ3TzQRERERERERGRwXFxfJ8jNnzlRyJNJ2796NFi1aYMeOHRAEQe124uLikJCQoPT66enpGDlyJKZPn45nz56p1efRo0fRqVMnnD9/Xq36Ui5cuIBOnTohKChIpXrp6el47bXXsGnTJrX7FgQBS5cuRY8ePXDr1i212ggPD8fgwYPx888/qx2HtuzcuRPt27dHYGCgWvUTExMxdepU+Pn5oaCgQGtxvffee5gzZw5yc3NVqnfixAl06NABERERWotFVQcPHkTLli2xZ88eteonJyfjww8/xKRJkzTap+fOnUOLFi3w+++/o7CwUO12kpKSEBMTo3Z9Q5aZmYm+fftiw4YNKtWTy+X47rvv8MorryA7O1utvgVBwPz58zFs2DA8evRIrTaCg4PRrVs3/PrrryrXDQ8PR+fOnXHw4EG1+n5RXl6exm1oi6Gcfy9KSUlB9+7dsX79eq20pwlDvOYLgoDp06dj7ty5yMnJ0Uqb2vDLL7+gXbt2OHnypEbt3L9/H5mZmUqv/9NPP6FHjx4IDQ1Vq7/o6GgMGTIEixYtUqt+WT755BP4+fkhLS1NpXpBQUHo1q0bYmNj1eq3sLAQEydOxMKFC5Gfn69S3UOHDqFLly54+vSpWn1XFzzmxJ4+fYqePXti3rx5SE9PV7m+IAjYunUrOnXqhPDwcLXjmDdvHqZNm4aMjAyV6l26dAmdOnVCWFiY2n3rgr7vfcoil8sxadIkLFiwQOV7mqNHj6JPnz5qHSeGpnv37jA1NVUoO3funEq/I06fPi1ZXlhYiHPnzindzqlTp0Rlffr0Uapufn4+Jk+ejOnTpyMpKUnpPl907tw5+Pr6Yu/evWrV16WDBw+iT58+iIqKUqneb7/9hmnTpimUyeVy+Pn5Ye7cuSp9x6anp2Ps2LE4fPiwSjEYqu+//x4jRoxAYmKiSvWePHmCwYMHY9u2bRrHsGvXLvTp00ft7+IXqfo3FCIiIiIiIno5mOg7ACIiIiIiIiKqPA0bNpQs/9///oeZM2eWmfhSGX755Re8//775Sa0uLi4oEaNGnBxcUFeXh5SUlIQGRmp0WDjlJQUDBgwANeuXStzHWdnZ9SuXRtOTk7IyMjAo0ePJBNgUlNTMWDAABw8eBD9+vVTOyYACA0NxdChQ0WD3F6MJTU1FQ8ePJAcYCSXy/H222+jc+fOqF+/vkp9C4KAt956C3///XeZ61hZWcHHxwfOzs4oLCxEfHw8IiMjJduaPXs2MjIytD4QUFnbtm3DpEmTUFRUJPm+ubk5vL294eHhgfT0dDx69KjMwUEbNmxAeno6du3aBSMjzZ4Zs2rVKvzyyy+i8po1a6JWrVowNzdHXFwcoqOjJWN//Pgx+vfvj8uXL6NmzZoaxaKqDRs2YPr06WXuU2NjY9StWxcuLi4wNzfHs2fP8ODBA8kB4v/88w+Sk5Nx+PBhGBsbqxTHvn37MH78+HKvAfb29vD09ISrqyvkcjlSUlIQHR2NrKwslfp6mU2aNAmXLl1SKDMyMoK3tzc8PT2Rl5eH2NhYPHnyRLL+iRMnMG7cOOzbt0/lz+i9994rd1Cmvb09vLy84OzsjISEhDI/m8LCQrz77rvIz8/Hhx9+qFTfWVlZGDRoUJnbZWRkBE9PT3h6esLa2hoFBQVIT09HYmIi4uLilOpDHwzl/HuRXC7H8OHDcfPmTYVyIyMj+Pj4wM3NDcbGxoiLi0NsbKxWEwRLM9Rr/qJFi+Dv7y8qr1mzJmrUqAFbW1vEx8fj8ePHlXZ9+uSTT/Dtt9+Wu46Hhwfc3d3h7OyMrKwsJCcnIyoqSqNEwu+++w7z588v831ra2t4eXnBzc0NycnJiImJKXPQ/9dff42srCysXr1a7XiKffnll6L9IZPJSo5hCwsLPHv2DBEREZLHV2RkJKZPn44TJ06o3Pdbb71V7oBRNzc31K5dGzY2Nnjy5Amio6MVzqN79+7h1VdfxVdffaVy39UBjzmxR48eoXfv3pL378U8PDxQs2ZNODg4IDU1FdHR0UhOThat9/jxY3Tr1g1nzpxBy5YtVYpj2bJl+P7778t839HREV5eXnBwcEB8fDyio6MVBjM/e/YMQ4cOxe7du1XqV5f0ee9Tnrfffhv//POPQpmxsTHq1asHV1dXGBkZ4enTp3jw4IFk/WvXrmHOnDn466+/NI5Fn6ytrdGxY0eF5NeMjAxcvXoVXbp0qbB+WFhYuYmEp06dwtChQ5WKRSqxpW/fvhXWk8vlGDNmTLmJ287OzqhTpw7s7e3x9OlTREdHS/5mysrKwtixY7Ft2zaMGTNGqbh17erVq3jttddE8dauXRs1a9aEpaUl4uPjERERIfn3o02bNqFr1654++23AQDvv/8+Nm7cqLCOqakp6tevDzc3N+Tn5yMqKgrx8fGitvLz8zF16lTcvXtXr38v09Sff/6JefPmlfm+tbU1vL294ebmhtTUVNH9cWFhIaZOnQovLy+1Y7h16xYmTJhQ5j2kmZkZvL294erqCktLS+Tk5CAtLQ1PnjyR/O4hIiIiIiKiKkpfU8UQERERERERkX40atRIACB6tW7dWrh7965eYtqxY4cgk8kk43J2dhaWL18uBAcHS9bNz88Xrl+/LqxcuVJo06ZNSb0zZ85U2G9RUZEwdOhQyX7t7e2FhQsXCsHBwUJRUZGo7q1bt4QZM2YIxsbGorpubm7Cs2fPlNr2qKgoUX13d3eFz8nU1FSYNWuWcP36dVEs+fn5wuHDh4WWLVtKbkf//v2ViuNFK1eulGzLxMREmDRpknDu3DkhLy9PVO/x48fCihUrBHt7e1FdIyMj4fTp0yrHoqmIiAjByspKcnsaNGggbNy4UUhPT1eoU1RUJJw/f14YO3asZD0AwjfffKN0DP7+/qL6HTt2FMzMzEqWjY2Nhffff18ICQkR1X/y5Inw/fffCw4ODpKxDBo0SKV9ItWGKi5cuCCYmJhIttO9e3dh9+7dQmpqqqheWlqasHnzZqF+/fqSdb/44guV4ggMDBTMzc0l27K2thY++eQT4cqVK4JcLhfVlcvlQmhoqLBmzRqhW7duJdcff39/0boPHjwQLl26VPKS6u/F98t7JSQkqLSNqpo6daootp49e4qubd99953w5MkTUf3g4GDh3XffFYyMjCS3c9WqVSrFs2nTpjLPof79+wvHjh0TCgoKFOrk5OQIu3fvFtq2bStZz9jYWLhw4YJS/S9cuFCyjU6dOgk7duyQPE6LpaamCufOnRMWLVqkcH2Vkpubq/A5v/HGG6I+33jjDaWOkRs3bpS7TYZw/kkdZ82aNVNY9vHxEdauXSt5zKekpAhr1qwREhMTRe8tWbJE1PaSJUuUjs1Qr/lNmjRROK9sbW2FpUuXCvfu3RPVz8/PF3bv3i1cunRJ6T7V8d1335W5vbVr1xZWr14t3L9/X7JuTk6OcOnSJeHzzz9XuF+JioqqsN+zZ8+WeY3x9fUVdu/eLeTk5CjUKSgoEI4dOyb07du3zJi3bdum9LZLHWfdu3dXuBetVauW8OuvvwpPnz4V1U9MTBRWrFgh2NjYSMayZcsWpWMRBEHYunVrmds1efJk4fLly6I6SUlJwh9//CF4eHgorN+jRw/J7wFlScVQlrS0NIXr15AhQ0R1Fy9erNS1786dO2X2I3XNkfq+LguPObHc3FyF300vvjw8PIQVK1ZIXp/kcrlw6dIlYfTo0ZJ1mzRpImRnZysdx4ULF8r8bIYMGSKcOnVKdB+XmZkpbNmyRWjYsGGFx76Xl5dK+0Ub9H3vIwjS50zp/dO4cWNh06ZNQnJysqh+bGysMHfuXMHU1FQynsDAQI33U0USEhIUrhFSx+svv/yi1PXlwYMHovalzslly5YpFdv//ve/Mj9jAELLli2VaufJkyeiurVq1VKq7pdffllm/+PGjRPOnz8v+rtBenq6sHHjRqFevXqS9WxsbCT3lS6V9beQF2O0srISFi9eLBnb06dPhXnz5kneGzs5OQlpaWnCxo0bRdepf/75R0hLS1Noq6ioSLh06ZLQtWtXyf3z5ptvKr1dUveCU6dO1WhfScWkrIiICMHCwkKyjU6dOgkHDx4UcnNzFeoUFRUJFy9eFCZNmqSwfoMGDUT3HoBy94CdO3cW1ZPJZML48eOF06dPS/6NqVhcXJxw4MABYebMmYKnp6cAqHZ/Q0RERERERC8PJrYQERERERERVTMrVqwocxCEqampMHHiROHEiRNCfn5+pcQTGRlZ5iCtN998s9yBx1KuX78ujB49Wjh37lyF65Y1qHPQoEHC8+fPlervwoULgrOzs6iNYcOGKVVfajDHi686deqUmdTzouzsbKF///6SbURERCgViyAIwqVLlyQHhtSvX1+4deuWUm08efJEcmBWrVq1RANIdKmgoEBo37695D6ZPn26UgPvduzYIZk8YWpqWuEA9GJSA1tefDk7Oys1gDk2Nlbw9fWVbGPjxo1KxSIImg2KSU5OFurUqSM5EOqff/5Rqo28vDzJAXcmJibClStXlGojJSWlZECL1LknNSi0PPfu3ROmT5+u1MBQTfafrknt1xdfbdu2FR4/flxhO+fPnxccHR1F9a2trZUatCQIghAdHV1mkttvv/1WYf2CggJh/vz5ktvh4+MjSk4oraioSKhRo4ao7vvvvy+Z7FSRoKAgYdKkSUqtq2lyRlkM5fyr6Dh78803RYPjlKXJvntZrvnt27dX+RqlbZcuXZJMzAX+S0QoPci/IqdPnxb69u0rREdHl7teamqq4OXlVWa/hYWFFfb1008/SSZDOzg4KHV9EwTp4+zF18SJE5XaB0FBQZJJp507d1YqDkH4L2HB1dVV1IaFhYVw4MCBCusnJycLAwcOLHd7dJXYUpqmCSi6aJfHnLR3331XMo6pU6cKWVlZSrWxd+9ewdLSUvJ7Vhm5ublC48aNRfWNjIyEP/74o8L62dnZwpQpU8rdr5Wd2KLve59iFX1Pz5s3T6lj//DhwwqJ+MWvCRMmKBWHNpVO1AaUe5BFWc6ePav2tXLEiBGia8GLyzKZTKlk9s2bN4timDJlSoX1goKCJH+vW1paCvv27auwflZWljB58mTJY6NTp06ixCtdquhvIY0aNVLqt8f27dslr9OLFy8WnJycFK5PFR37BQUFwrBhwyT3r7J/yzCkxJaioiKhW7dukvW//PJLpX4XHT58WPJ6/+Kros8pPDxcVEcmkwnbt29XajteJJfLhT179giffvqpynWJiIiIiIjI8BnO/7oSERERERERUaXIyMiQfMJi6Zetra3Qv39/YfHixcL+/fuFuLg4ncQjNWgAgPD555/rpL9ikZGRkk+hfe211yRnaCnPrVu3JJ+Aee3atQrrljeYw93dXYiNjVU6jsTERIWBG8WvhQsXKlVfLpeLnn5cPKAkKSlJ6TgE4b8nwkq19d1336nUjibWrVsnuV8nTJig0me8Z88eyadJ9+7dW6n65Q1ytrKyUnowuSAIwvPnzyVnXXJ3d1c6GU3dQTGCIAhvvvmm5DZcvXpV6TaKTZgwQdTW0KFDlar7/vvvS27HtGnTlBqopwlN9p+ulTeQsX79+irNGBMYGCh5XRs3bpxS9csabPr777+rtE0fffSRZDtLly4tt96tW7dEderWravz40MQdJfYYijnX3nH2bRp01SO5UWa7LuX4ZrfsmVLpQcm64pcLhdatWolik0mkwl///23Tvv+/PPPJffLggULVGrnp59+0uj4Ky/J4PXXX1fpeFm7dq1kO8omFX/44YeiukZGRkoltRTLysqSfAp68as6J7bwmBM7f/68ZP158+YpHUOxo0ePigaTm5qaSs4KV9rq1asl41izZo3S/cvlcmHUqFFl7tvKTmzR971PsfK+pxcvXqxSLJ999pmoDXNz80p9WIEgaD+xJS8vTzTDm5mZWYWJXXK5XJTIsnTpUlGiiTIzOk2bNk20TRs2bKiwntTsRMbGxsKhQ4eU3n65XC6MGTNG8hhRJgZtKe9vIbVq1VLpt8vrr79eZlsAhHfeeUfpthISEiSTCP/66y+l6htSYsvBgwcl6y5atEil/o8dO1bmDFtAxYktUtd8ZRK5iIiIiIiIqPoxnP91JSIiIiIiIqJKc+HCBcknklf0qlGjhjBixAjhhx9+EK5du6bWU+9fdOXKFcl+Ro4cqaUtLZvUwPhmzZqp/JTyYj/++KOovcmTJ1dYr7zBHEeOHFE5jkWLFona6dGjh1J1d+/eLaprYWEh3L9/X+U4BOG/2XNKD3bz8vKqlIHlgiAIbdq0EW2Pp6enkJGRoXJbs2bNkvyMQkJCKqxb3iDnr7/+WuVYAgMDJdtS9mmn6g6KefLkieRTmzdt2qTyNgjCf8lPtWrVUmhLJpMJ9+7dK7debGysZFJa+/btK+UJw+ruv8pQ3kDGgIAAlduTGohrZmZW4SCzhIQEye+Y4cOHqxxDQUGB0KJFC8nvo/KSuaQGcakyoE0TukhsMZTzTxDKPs7q1Kmj1vX1RZrsO0O/5puYmAjXr19XORZt2759u2R8H374oU77zcvLE9zd3UX9tm3bVq37ycGDB0vesygz415ZSQZ169YVMjMzVYqjqKhIqF27tqitdevWVVg3JydHcnast956S6UYBOG/mcekrhFA9U1s4TEnTeqhAv3791c5sb/Y7NmzRe0pkzzRpEkTUb0BAwao3H9SUpLk7JlA5Sa2GMK9T7Gyvqc7d+6s8u+w9PR0yZkaTp8+rfJ2aULbiS2CIAgDBgwQtXn8+PFy61y9elVUJzg4WJRcOGPGjAr7l5pNqqJZoG7fvi352c6ePVuVTRcEQRDS0tIkH3ji6+urclvqKu9vIadOnVKprZs3b5bZVuPGjVX+O4/U34uUTcQwpMSWoUOHiuq1aNFCrd/NM2fOLHMfV5TYMmfOHFGdHTt2qBwDERERERERVX1GICIiIiIiIqJqp0uXLjh06BBcXFxUqvf06VPs27cPH3/8MXx9feHl5YUFCxbg3r17asXx22+/icpsbW3x559/qtWespKTk7Fu3TpR+ffffw8LCwu12pw5cybc3NwUynbs2IGsrCy12uvUqRMGDx6scr3XXntNVHbz5k0IglBh3e+++05UNnv2bNSvX1/lOACgbdu2eOWVVxTKYmJicPr0abXaU8WlS5dw8+ZNUfmKFStgY2OjcntfffUV7O3tReW//PKLWvEBQK1atfDxxx+rXK9r164YM2aMqPyPP/5QOxZl/Pzzz8jPz1co69ixIyZPnqxWe7a2tvjoo48UygRBwPr168ut9/fff6OgoEChzMjICBs2bICJiYlasVR1I0aMQM+ePVWu98knn8DDw0OhLD8/H/7+/uXW+/vvv5GXl6dQZmxsjB9//FHlGExMTLB69WpR+dOnT7Fnz54y66Wnp4vK7OzsVO7fUBjK+VeeefPmqXV91YaX4Zo/fPhwtG3bVu362iJ17+Xt7Y0VK1botN/du3fj2bNnovLVq1fDyEj1/6r66aefRPVyc3Px999/qx3j/PnzYW1trVIdmUwm+Z18/fr1Cuvu3LkTKSkpCmWWlpb46quvVIoBABo0aID33ntP5XpVGY85sbt37+LQoUMKZcbGxvjhhx8gk8lUiqPYggULYGZmplAm9TvrRefPn0d4eLioXJ37BCcnJyxZskTletpmCPc+FVmyZAmMjY1VqmNra4tBgwaJypU53gxd3759RWWnTp0qt07p37Fubm5o3ry5qK2K2nn48CFiYmIUyho2bIhatWqVW0/qPsTR0RFLly4tt54UOzs7ye+ba9eu4cqVKyq3p01du3ZFnz59VKrTunVr1K5dW/K9+fPnq/x3nuHDh4vKbty4oVIb+vbkyRMcPXpUVL5ixQq1fjcvX75cdL1XVlX7bUZERERERES6w8QWIiIiIiIiomqqX79+uHnzJsaNG6f2QKbY2FisXLkSTZs2xZtvvoknT54oXbewsBD79u0TlU+ZMkXlhBtVHTx4UJRw0qBBA8lBO8qysLAQDTLLz89Xe1DIG2+8oVa9Zs2aiQZtZGRkID4+vtx6MTExuHz5skKZTCbTeJDk66+/Lio7f/68Rm0q4/jx46IyBwcHycQfZTg6OkrWlepHWZMnT4a5ubladaWOj3PnziEnJ0fteCqybds2UdkHH3ygUZtSg/IrOj527twpKhs8eDCaNGmiUSxVmbrXE0tLS0yYMEFUXnpQbGlS50X//v3h4+OjVhx9+vRBw4YNleqnmIODg6js6tWravVvCAzl/CuLubm52kk22vAyXPPVPQ+1KSEhAefOnROVv/vuu2on9ipLat81btwY3bt3V6u9Bg0aSA5KVvczMjU1lbxnUUa7du1EZffv36+wntRg0+HDh6t9H2wIx5gh4TEntn37dlGye58+fdC8eXO14gAADw8P9OvXT6HsyZMniIyMLLOO1LHfqVMnNG3aVK0YJk+erPZga20xhHuf8nh6emLgwIFq1VX3eDN06iS2lH6/T58+kMlkoiSMyMhIREdHK91OWfGUJvX5jxs3TjIZVxkTJkyQTC7Q5H5HG6ZPn65WvZYtW4rKzM3NJX/PqNOWug900Zdz586hqKhIoczd3V3tv3s5OzuLHlyirKr224yIiIiIiIh0h4ktRERERERERNVYrVq1sG3bNgQHB+Ott96Ck5OTWu3I5XKsXbsWzZs3x8mTJ5WqExQUhNTUVFF5ZQzKkxrUOXr0aI3blRood/HiRa21pQxjY2N4e3uLytPS0sqtJ7VPOnbsWOFTYyuizX2iikuXLonKRowYoXYiCQBMmjRJVBYVFSX5NHBljB07Vu1Y+vfvLxocUlhYqLOnJ8fGxooGZ5mZmWHYsGEatevm5oZGjRoplF27dk00I0uxp0+f4s6dO6JyDuYtm52dndoDGYH/BsuVduPGDcjlcsn1CwsLERQUJCofP3682jEAwMSJE0VlUud5sWbNmonKTp8+jQ0bNmgUhz4YyvlXntatW0sOWKsshn7NNzIyQo8ePdSORVtOnTolGuBoZGSEadOm6bxvqc9I0+uC1GcUFBRU5vWpPO3atYOVlZVacUjNbFfRfRcAyeRnTe4NmjZtKnntq654zIkZym8gbR/7jo6O6N+/v9r1NWUo9z7lUfe3JaD+8Wbo2rRpA0dHR4WymzdvimbSKpaXl4fAwECFsuJklC5dusDS0lLhvfKSZKTeq2iGkqdPn4pmeQE0O84sLS0xatQoUbm6x5m2qHu8enl5icratWunVvKuq6ur6Bqdn5+P3NxctWLTB6lr7ZAhQ1SeuelFr776qlr1pO5PVq1aheDgYLVjISIiIiIioqqJiS1EREREREREhObNm+OPP/7A06dPceTIEcybNw8dO3aEqampSu2kpKRg8ODBkk+WL01qAL6dnR1atWqlUp/qkBrU5evrq3G7Ugkl6vxHvbGxseQTepUl9dRVdRJbtLFPPDw8RANJdD14QRAEyUEcHTt21Kjd9u3bw8hI/Oc0dQb+mJubSz4FVlnGxsZo3bq1qFxXTz09e/asqKxhw4awtbXVuO3S501OTk6ZT4EuK3FHk8F6VV3r1q1VvpaXrm9iYqJQlpWVJZlgBAAhISHIzs4WlWt6/nXq1ElUFhERUebgQy8vL8kBVH5+fhg/frxohipDZijnX3mknuZeWV6Ga37jxo1hbW2tUTzaIHUNbdKkCZydnXXab3JysuRTznVxXcjMzERISIjKbak7UwSg3n3X8+fPJWe0aN++vdpxaKN+VcFjTqygoEDyu6+yfwMJgoBr166Jyl/mY99Q7n3KU9nH28vAyMgIvXr1UigrKirCmTNnJNe/dOmSaHbM4sQWc3NzdO3aVeG9shJbBEEQ9SGTydC7d+9y45U6f42MjDQ+9qWOM33eJ5uYmKBBgwZq1ZW6N9ZkVk+p9l6mY1/qvq9NmzYatalu/QEDBoh+k6alpaFjx45YsGABoqKiNIqLiIiIiIiIqg6TilchIiIiIiIiourCzMwMgwcPxuDBgwH891TS4OBg3LhxA9euXcP58+cRERFRbhtyuRzTp09Ho0aNyv1Pb6mBs76+vpKDSLUpLy8PDx48EJVnZ2drPIDj0aNHorLk5GSV23F0dIRMJlM7jtJPiwVQ4ZNFQ0NDRWUmJiZaGdRibW2t0L86g7FUkZaWJjngRNNBHFZWVmjUqBHCw8MVyqU+94o0bdpUlCygqlatWiEgIEChTOopvtogdXw4OTlp5fgoPXsAUPZ5I3XdqFu3LlxcXDSOo6rSNFnQ3NwcjRs3Fh0DkZGRkslZUseglZWVRsl6gPT5KwgCHj9+LHradrFFixZJPu18+/bt2L59O7y8vDBkyBD06NED3bp103iGKl0xlPOvPPrcdy/DNd9Qji2pa6imA6+VUdY+0/QzatCgAaytrZGVlSXqTyr5szzqzloIqHffJXWtdHR0RO3atdWOA9D8ml9V8JgTi4yMlEy+SElJ0fj7RGomq7K+S5KTk5Geni4q1/TY1eexb0j3PmWp7OPtZdG3b1/s3btXoezUqVOSs5icPn1aYdnHxwc+Pj4Kbf37779lrl8sJCQEiYmJCmWtW7euMMlU6jhr2LCh2jM/FZM6zlJTU5Geni6Z1KRrqh7bL5KamUWTY1+qvZfp2I+PjxeVaZLkBqifKFSjRg1MmzYNf/75p0J5bm4uVq5ciZUrV6Jt27YYOHAgevTogc6dO8Pe3l6jWImIiIiIiOjlxMQWIiIiIiIiIiqTubk52rdvj/bt2+Ptt98GADx9+hQ7d+7En3/+WeYT+3NycvDOO++U+1TzuLg4UVllDPxMSkqSLJ8yZYpO+lNngLAunuouCEK570vtl9WrV2P16tVaj6WwsFCnA2XKSpypUaOGxm3XrFlTNMhZnUQdNzc3jWORakNXSUNSx8e5c+fQuXNnnfRX1nmjr+vGy8zDw0MrbZROrkhNTZVcV+oYdHd31zhp0c3NDSYmJigsLKywv2ITJkzAyZMn4e/vL/l+TEwMfvvtN/z2228AAE9PT/Ts2RO9e/fGgAEDUKdOHY1i1hZDOf/Ko8+BZy/DNd9QBubp6xoqtc+MjIw0/i40MjKCh4cHHj58WGF/FdH2vVdF911SMerq3qA64jEnVtZvoP79+2s1jmJlfZdI7Stzc3ONfxfo89g3pHufslT28fay6NOnj6isrJlWSpcXz9ZS1vKzZ88QGhqK5s2bV9i+VBylSX3u2rrXKas/fSS2aJqoo+v2XqZjX+r3moODg0ZtmpqaSiZ4KmPVqlW4fPlymTN63bhxAzdu3MCKFSsgk8nQpEkT9OrVC3369EG/fv0M5n6aiIiIiIiIdEu3j0AlIiIiIiIioiqnRo0a+OCDDxASEoINGzaUOdjh8uXLOHnyZJntZGZmiso0/U92ZagzYFcTUk+RN0RVab+UNdhLGwNzpAZTqDO4zJBiUYahHB/6um68zLRxrEm1UdaxJlWurUFxqsRR7O+//8bixYthbGxcYftxcXHYunUrZsyYAW9vb/To0QMbNmwQDSitbIZy/pVH24MGVfEyXPP1uX9epK9rqNQ+s7W11Wh2umKV+V2oTVKDTXV1zFZHPObEDOW7pCoe+4Z270PKa9KkiSg5JCIiArGxsQplmZmZuHr1qkJZ6USWtm3bir5TX5zBpZhUYkvptqTo6jgr69zhcfbyk7oO6/N6a2Njg7Nnz+LVV1+tcF1BEBAWFoZff/0VY8aMgYeHB8aOHYszZ86o1TcRERERERG9PJjYQkRERERERERqkclkmDJlCgIDA8v8z/Hdu3eXWV8ul4vKLC0ttRZfWcqaZUBXpLbTEFWl/ZKTkyNZro3jS6oNdZ5WamZmpnEs5ubmorK8vDyN25ViKMeHvq4bLzNdHffZ2dmS60qdf9r6jNQ5/4yMjPDll18iNDQUEyZMkDxvpAiCgPPnz8PPzw+NGzfGiRMn1IpZGwzl/DNUL8M131Do6xpqaNcFQyD1fa2re4PqiMecmKF8l1TFY5/H28tNmVlbzp07p5DoLJPJRPWMjY3Rq1evctspLCzEuXPnFMpMTU3RvXv3CuPU1XFWVhs8zl5+Uon92rjP1yTp38HBAfv378fRo0fRs2dPpRNOc3NzsWvXLvTp0we9e/cWzZxGREREREREVQcTW4iIiIiIiIhIIy1atMC3334r+Z7U00iLST0hPD09XVthlcnExETnfbyMqtJ+KSvRKiMjQ+O2pdpQ54ml2ohF6nzR1ZP3DeX40Nd142UmNUODqlQ57qXOP20c76rGUVrjxo2xdetWxMfHY/369Xj99ddRu3Ztpeo+fPgQgwYNwvfff69SvNpiKOefoXoZrvmGQl/XUEO9LuiTVIy6ujeojnjMiRnKd0lVPPZ5vL3cpGZLKf13jNLLzZs3h5ubW4VtnT17ViEJICgoSPSZdujQATY2NhXGqavjrKw2eJy9/HR136eN2XcHDRqEgIAAPHz4ED/88AOGDRum9N8yAgIC0LZtWwQEBGgcBxERERERERkeJrYQERERERERkcamTZsmORgjKioKgiBI1nFychKVVcaThMsaABsWFgZBELT+io6O1vk2aYPUfvn11191sk8EQYC3t7fOtsXR0VGyXFeDOKSOZXXa0UYbukpskTo+XnvtNZ0dH35+fpJx6Ou68TLTxnGvShKV1PmnjRgEQZAceKfq+efg4ICpU6di48aNePToEaKjo7F582a89dZbaNCgQbn9z58/H/v27VM1dI0ZyvlnqF6Ga76h0Nc1VOozysrK0spTw1/Wz0jqGqqre4PqiMecWFm/gbKzs3XyXVLWgGOpYz8zMxNFRUUabZ8+j31Dv/eh8qmT2CJVR6o8IyMDQUFBZbZTXlul6eo4K+vc4XFmOAoKCtSqJ3XMJCYmahRLZmamVmeJ9fHxwUcffYQDBw4gKSkJwcHBWLNmDcaNGwdXV9cy66Wnp2PkyJGIiYnRWixERERERERkGJjYQkREREREREQaMzMzQ4cOHUTlcrkcycnJknVcXFxEZffv39d6bKWV9YT+pKQknfdtyKT2y8u6T8oa5BwZGalx2w8fPlS6v/Jo41i/d++eqMzZ2VnjdqUYyvEhdd148OBBpcfxMomKitJJG2UNdpM6H54+fYrc3FyNYoiMjJRMlFTn/HuRl5cXJk2ahD/++AP37t3D3bt3sXjxYsmBVIIgYO7cuQpP3q4MhnL+GaqX4ZpvKPR171XWPtP0+pSXl4e4uDil+zMkUp9FbGysxtdKqXuD6ojHnJih/AZydnaGTCZTKCsqKpK83qpCn8f+y3bvQ4rq1KmDevXqKZQ9efIEd+/eBQA8f/4cwcHBCu+XlYzSpEkT1KhRQ6HsxWQWqcSWPn36KBWn1Oeuq3udsvoj5UjNkKXJ7wd1r9N16tQRld2+fVvtOLRRvzxGRkZo0aIF3n33XWzbtg3x8fEIDAzE9OnTYWZmJlo/NTUVn3/+uc7iISIiIiIiIv1gYgsRERERERERaYW7u7tkeVlPRm7durWo7Pbt2xoPAKqIra0tatWqJSqv7k96bNq0qajsZd0n1tbWkoM4bt68qVG7z58/R2xsrKhcat9V5MmTJxo/LfXWrVuiMqnzShsM5fiQ2r7ExESNB0NWZVLHiSpSU1MlP+tmzZpJri91rBQWFiIkJESjOKTOX3Nzc9FARE01atQIX375Je7fv49hw4aJ3n/48CEuXryo1T4rYijnn6F6Ga75hkLqGnr58mWd91u/fn3JAYmafkYhISGSA0Vfhs+ofv36sLKyUiiTy+UaXys1veZXFTzmxBo0aCA52Lqyv08sLS0lZ0jT9NjV57H/st/7UPmztpw5c0YhwcjExAQ9e/Yss63SiSrF7eTk5ODSpUsK71lZWaFz585KxSh1nMXFxWn8m1LqOPP29oalpaVG7VZntra2orLMzEy125NKqFSG1MNnXpxBSB2a1leFkZERunbtirVr1yIkJAT169cXrbNz506tziBDRERERERE+sfEFiIiIiIiIiLSivT0dFGZsbGx5BOpAaBHjx6isoKCAgQEBGg7NBGpwSNnzpzReb+GrKrtE6ntOXv2rEZtSu0PExMTtG/fXq32/v33X7VjiYuLk3wytdTgFW2Q2p8PHjyQHPStS23btpUcKHTy5MlKjeNlEhoaipSUFLXrBwYGisrc3d3h5eUlub6Pj49koqMuzr+2bdtKDlzWBnt7e/zzzz/w8PAQvSe1T15U+kn0mjKU88+QvQzXfEMgNRA3Nja25Kn0umJubo42bdqIynXxGdWoUaPM65MhMTExQbt27UTlmtwb5OTkVHri3Yu0fe3TBI85MQsLC8l9oo/7/Y4dO4rKNDn2AemZMCpLVbn3MWS6vr6Ul9hS+tjq0KGD5O+Rstq6dOkScnJycOHCBdEA/G7duin9ebZv3x7Gxsaicl0cZ8om25A0e3t7UVl8fLza7V24cEGtep06dRKVHT9+XPJvd8ravn272nU10bBhQ2zbtk1UnpOTg+vXr+shIiIiIiIiItIVJrYQERERERERkVZERESIylxcXGBkJP3nB3d3dzRp0kRU/ttvv2k9ttJeeeUVUdmRI0eq9ZMehw4dKip7+PAhgoOD9RCN5rp06SIqO378uEZPtN24caOorGXLlqInritry5YtaseyZcsWFBUVKZR5eHjAx8dH7TbL07RpU8m29+zZo5P+ymJsbIxu3bqJyivjulHM3NxcVFZQUFBp/auqoKAAu3btUru+1HFaUQKV1Pm3efNmtWPIz8+XHESl60F31tbWkt8XFQ1M0/YxYijnnyF7Ga75hqCs5MDKuIZKfUbbt2/X6NzYtGmTqOxlGowrtU80uTc4cOCARoNVNWVo34885sSkvtP27t1b6XFIfTY7d+5Efn6+Wu1duXIF9+/f1zQsjVSVex9DpevrS+/evUXJMwEBASgqKhIltkglwZT3fl5eHgIDAyWTr0rP7lIeGxsbtGzZUlSuyXH27NkznDhxQlReXY8zbalZs6aoLDQ0VPT7XVkHDhxQq1737t1hY2OjUJaTkyP5XaaMkJCQSpnpryzt2rWTnLVFk6QhIiIiIiIiMjxMbCEiIiIiIiIijd28eRMPHjwQlUsN8HmRn5+fqOzQoUO4ceOGtkKTNGLECNF/8D99+hR//vmnTvs1ZF5eXpKz6CxdulQP0WhuxIgRoifaFhYWYs2aNWq1Fx4ejmPHjonKx44dq1Z7AHDs2DG1Eoeys7Mlt+P1119XOxZlSLX/7bffIjc3V6f9liZ13QgODsb+/fsrpX+pQeFZWVmV0re6fvnlF7UGUj1+/Fhyv44fP77cemPGjBGV3b59W+2nwm/YsAFJSUmick3OP2VJzToml8vLraOLY8RQzj9D9TJc8w2BiYkJJk+eLCr39/fH48ePddq31HXh+fPnag/IPXnyJEJCQkTlL9NnJHVe37lzB4cPH1a5raKiInz77bfaCEtthvb9yGNObNKkSaKHDty4cQMHDx6s1DjGjh0rSlRISUnBX3/9pVZ733zzjTbC0khVuvcxRLq+vri6uqJFixYKZSkpKdi3b5/o7xwVJbbUqVNHNPj+1KlTkoktFbVVmtRxduTIEcmZPJXx888/o7CwUKHMxMQEI0eOVKs9+k+DBg1Ex2xWVpZas6rdvn1b7RmpbGxsMGnSJFH5kiVLJK8vFXnvvffUikOb1PltRkRERERERC8XJrYQERERERERVSPXrl2Dn5+fVp9oW1RUhNmzZ0u+N3z48HLrzpw5E/b29qL2Jk+erNPBunZ2dpgxY4ao/PPPP0d4eLjO+jV0c+bMEZXt2bMHW7du1UM0mqlTp47k8fftt98iKipK5fbeffdd0aAfCwsLyeNIWXK5HO+++67KAzGWL18uGoAsk8nw1ltvqR2LMmbNmiWaqSAuLq7M819XRo8ejXr16onK33rrLY1mZ1CWo6OjqCw6Olrn/Wri9u3bag0WnTdvHnJychTKnJ2dMXr06HLrjR07Fh4eHqLyDz74QHQeVSQpKQkLFy4Ulbdv3x6dOnVSqS11PHz4UFTm6elZbh1dHCOGcv4Zqpfhmm8o5s6dK0oCysjIgJ+fHwRB0Fm/Xbp0Qdu2bUXlCxcuRFpamkpt5efn4/333xeV16xZs8LrkyFp1qyZZBL4hx9+iOzsbJXa+v3333WeGF4RQ/t+5DEnVq9ePclr5XvvvVepT7wv617is88+w7Nnz1Rq68iRI9i3b5+WIlNfVbr3MUSVcX2Rmj3ls88+U1i2srJSajaT0gkr+/btE12jHRwcJK9R5ZkxY4YoKaygoAAffPCBSu0AwL179/D999+LykeOHIlatWqp3B79P5lMJvnZ/v333yq1k5+fjzfeeEOjWGbNmiWajSgpKQnjx49XacbixYsX49y5cxrFoqmioiLJ+/qKfpsRERERERHRy4WJLURERERERETVSGFhITZs2IAmTZrg9ddfx/Xr1zVqLz8/H5MnT8b58+dF7zk7O1eY2GJnZyc5CCM8PByvvPIKMjIy1IorJycHqamp5a6zePFiODs7K5SlpqZiyJAhWkluuX//PjZu3KhxO5Xp1VdfRe/evUXl06dP18qAsZSUFPz4448at6OsDz/8UFSWm5uL4cOHIyUlRel25syZI/m05SlTpoiOIVUFBgZi5syZSq+/YcMGyadSjxgxQvRkYG3z8PDAJ598Iir/888/sXDhQrVmBHlRQUEBtmzZgsjIyHLXMzY2xqeffioqT0hIQP/+/fH06VO1+i8sLFQqMaZp06aiskuXLqnVZ2X6+OOPcfnyZaXX/+mnn7B9+3ZR+VtvvSUaUFeaqakp3n33XVF5aGgopk2bpvTg+ezsbIwYMULyicIfffRRuXX//PNPbN68WeXBpC96+PCh5FPsfX19y60ndYxcuXJFo6QBQzn/DNnLcM03BHXr1sXEiRNF5adPn8brr7+OgoICtdpNSUkRJcKVJnXePnv2DKNGjVJ6cGVxAnRERITovffeew+mpqbKBWwg5s2bJyp78OABxowZo/Rncfz48QqviZXBEL8fecyJrVy5UvQ9/ujRIwwdOhRxcXEat3/z5k3s2bOnwvU+/vhj0ewxKSkpGDJkCNLT05XuS+p6pg+GcO9TlVXG9UVq9pSwsDCF5W7dusHMzEzltiIiIkQPM+jVq5foHKiIq6ur5Mxrx48fx6JFi5RuJzExEa+++iry8/NF70ndT5HqpGbX2bhxo9LJIQUFBZg2bZrGf7Nr1aoV3n77bVH5v//+i6FDh1Y4Y192djY+/PBDfPXVVyVlpRNllLFgwQKcPXtW5Xov2rZtmyj50cLCAs2bN9eoXSIiIiIiIjIsTGwhIiIiIiIiqobkcjk2b94MX19fNGvWDCtXrlRpMKtcLsf+/fvRqlUr/PPPP5LrfPPNN3BwcKiwrcWLF6NDhw6i8lOnTqFLly6Sg0vLEh8fjxUrVsDLywu3bt0qd10nJyfJJ2ZGR0fD19cXq1evVvlp2ZmZmdi1axeGDRuGRo0avZQznfj7+4tm0cnLy8PIkSMxa9YsPHnyRKX25HI5AgICMHPmTNSqVUvy6cO60r17d8mn64eEhKB3794ICQkpt35GRgbeeust/PDDD6L3PD09JRNMlPXizAt///03Xn311XITMnJzc7FgwQK88cYbooFxdnZ2+N///qd2LKpYuHAh2rdvLyr/5ptv0KdPH9y8eVPlNkNDQ7F06VJ4e3tj8uTJSEhIqLDO9OnTMXLkSFH57du30alTJ6UGVBZLTU3FL7/8gvr16+Pw4cMVrt+uXTtR2U8//aTy098rS/HAo+zsbAwZMgS7d+8ud/3CwkIsXbpUcvCkt7e30oPm5s2bhxYtWojKN2/ejHHjxuH58+fl1o+MjMSAAQMQGBgoem/IkCGYMGFCufXDwsLw+uuvo27duli2bBnu3r2rVNzFQkJCMHjwYNHsYe7u7pIDH1/UrFkz0aDh+Ph4/PHHHyrFUJqhnH+GypCv+Ybm559/ho+Pj6h8y5YtKh9L0dHRWLBgAby8vCqcaWHSpEkYMGCAqPz06dMYPHgwYmJiyq2fkJCAUaNGYefOnaL3WrduLTnznKEbMWKE5PfZ0aNH0atXL9y7d6/MunK5HN999x1GjBhRMji59MxOlUnq6fRXr17FsWPH9BDNf3jMiTVo0AArV64Uld+4cQOtWrXChg0bVE5wS05OxsaNG9GzZ0+0bdsWJ06cqLBOu3btJGcdu3HjBjp37oyrV6+WW3/9+vXo06dPyf2XPo/9Yvq+96nKpO6/9+/fj9u3b2utj549e8LExKTcdSq6ByzWu3fvCgf/K9tWaStXrkSNGjVE5V9//TXef/99ZGVllVv/5s2b6NWrl2Sy3qxZsyRnEiPVTZo0CRYWFgplgiDg1VdfxfHjx8ute+vWLfTp06fk70maXt++/fZb1KlTR1R+6tQpNG3aFO+//z7OnDmDJ0+eID8/H4mJibh27RqWLl2KJk2a4KeffiqpM3ToUMm2KnLs2DH06tULHTp0wO+//67yb45du3ZJJui88sorsLOzUzkeIiIiIiIiMlzl/3WGiIiIiIiIiKq8sLAwLFiwAAsWLICHhwe6dOmC9u3bw8PDA87OznB0dEReXh7S09Px8OFD3L59G8ePHy93ZoORI0fijTfeUKp/MzMz7NixA23btkVycrLCe6GhoejTpw+6d++O4cOHo1evXqhZsyZcXFyQl5eH5ORkRERE4Nq1azh58iTOnj2r0lPrR4wYgS+//BKfffaZQnl2djY++ugjLFu2DOPHj0f37t3Rpk0buLi4wMHBoWR/JCcnIzw8HMHBwQgKCsKZM2eUfvqzofLy8sLu3bsxZMgQ0RNcf//9d6xduxbDhw9H37590bFjR9SoUQOOjo4AgLS0NKSlpeHBgwcICQnBzZs3ceLECYXPtaKZHrTtxx9/REBAAO7fv69Qfvv2bbRr1w7jx4/HuHHj0KJFC7i7uyMjIwPR0dE4cOAA/P39ERsbK2pTJpNhw4YNJdutjlGjRiE8PLzkCawHDx7Ev//+i1deeQUDBgxArVq1YG5ujidPnuDixYvYtWtXmYM/Vq1aBU9PT7VjUYWpqSn27t2LLl264NGjRwrvnT17Fm3btkX37t0xdOhQdOnSBT4+PnB0dIS5uTnS09ORlpaG2NhYBAcHIzg4GKdOncLDhw/VisXf3x+3b98WJeU9evQIo0ePRps2bTBq1Cj069cPtWvXhouLC+RyOVJSUvDw4UNcu3YNZ86cwYkTJySfVlyWMWPG4PPPP1coi4iIQLNmzfD666+jXbt2cHFxEQ1kAoB69erB1dVVre1V18yZM/Hnn3+WbPuYMWPQr18/TJkyBV26dEHNmjWRl5eH2NhYHD9+HOvWrRM9nbrYH3/8AWtra6X6NTc3x5YtW9C+fXvRdXHnzp04c+YMpk6dilGjRqFu3bpwcnJCYmIi7t69i507d2LTpk2SyYWurq5Yt26d0tv/+PFjLFmyBEuWLEHz5s3Rs2dPtGvXDq1atYKbmxscHR1hYWGBzMxMPH78GLdu3cK+ffuwb98+0ZO1gf8GhhkbG5fbp6mpKYYPH44dO3YolM+aNQtHjhzB4MGDUbduXdja2oqe1G1ubo42bdqU2a6hnH+GylCv+YbGwcEBO3bsQLdu3UTnZ2BgINq1a4dBgwbhlVdeQbdu3eDh4QEnJydkZWUhOTkZYWFhuHbtGo4cOVLh4PMXyWQyrF+/Hi1atBDNRnDmzBk0b94ckydPxtixY9GoUSO4uroiOTkZDx8+xJ49e7B+/XrRvSLw39O6t2zZotRT9A3RL7/8gnPnzon2ycWLF9G8eXP0798fr7zyCurUqQNra2s8ffoUN27cwPbt2xWetG5iYoJly5Zh7ty5lb0JAIA6deqgQ4cOomNi2LBhGDt2LPr27QsvLy9YW1uLBnzb2dlJzsigKR5z0mbPno3Q0FBRkn9SUhL8/Pzw6aefYty4cejWrRtatmwJJycn2NvbIycnB2lpaXj+/Dnu3LmDkJAQXLp0CYGBgZLfmRVZvnw5Dh06JLpmh4WFoXPnzujevTtGjhwJHx8fODg44NmzZwgNDcX27dtFg/K//vprvc80YSj3PlVR8T3riw9ZyMvLQ5cuXTBx4kR0794dnp6esLKyEl1fXF1dUa9evQr7sLW1ha+vb7kzHCqbjOLi4oKWLVuWm3jTp08fpdoqzdnZGf7+/hg8eLDogQdr1qzBgQMH4Ofnh1dffRVeXl6wtbXFs2fPEBwcjG3btmH79u2SMxo2atQI33//vVoxkZijoyPmz5+PZcuWKZSnpaVh0KBB6NOnD4YPH44GDRrAxsYGz58/x/3793Hs2DEEBAQofLZr1qzB9OnT1Y7F1tYWu3fvRq9evUSJT5mZmVizZg3WrFlTYTteXl5Yu3YtOnbsKHpP2dmHgoKCEBQUhPfeew9du3ZFly5d0LZtWzRt2rTk748ymQwZGRl4+PAhLl++jG3btknO0GRhYYHly5cr1S8RERERERG9RAQiIiIiIiIiqjYuXbokANDpa+zYsUJBQYHKsQUFBQlOTk5ai+PMmTNK9/3VV1/pZF8MHDiwwr6joqJE9by8vFTefy/q2bOnRvtDEATh+PHjgo2Njdb3ibm5uUbbpo67d+8KHh4eWtuGNWvWqNS/v7+/qI2pU6cKkZGRgqurq0axfPzxxyrvD6l2VBUVFSU0atRIJ+fNpUuXlI7j4cOHgre3t9b69vf3V6rf/v3767R9dU2dOlWyz6+//lrjfbN8+XK1Ytq1a5dgYmKilc/H1tZW6eNj9uzZWj82p06dqvR2BwYGCjKZTOU+lLn+6/v8K+s404YlS5aI2l6yZIlKbRjqNd8QHT58WLCwsNDavoqKilKq38DAQK3dY5iamgp79+5Vabu1cZy9SBv3chcuXBCsra012he//vqrcObMGVF5z549lY5Dql1VbNmyRa3Yy4tRG9ccHnNicrlcmDVrltbO/xdfb7/9ttJxRERECG5ubhr1N3/+fJ38plKXvu59imn7e1rT64q2qPubXZXv4EWLFpXZjqOjoyCXy5Vu6+OPPy6zrRo1aqixBxStXr1aa+dszZo1hfv372sck6q0fd5q+1rr5eUlak/Zex1BEIS8vDyhVatWGn02n3zyiSAI2vkNf/HiRcHFxUWtOLy8vIS7d+8KgiAItWrVEr2flJRUbt+a7ofSL5lMJqxdu1blfUBERERERESGT7lHJxARERERERFRleDu7o4OHTqInmKqDc7Ozvj999+xbds2mJioPkmsr68vgoKC4Ovrq/XYKvLpp5/i0KFDcHd312q7pqamWm2vMg0YMADXrl3T+uehj33SqFEjXLx4Ea1atdKoHSsrK/zzzz949913tRKXj48Pzpw5g1q1aqlc18jICEuXLsWqVau0EouqvL29ceXKFUyaNEnrbaty/ahbty6uXr2KgQMHaj2O8qxbt67SZ17RxMKFC9V+gr9MJsNXX32FRYsWqVV/9OjROHLkCJydndWqX8zHxwfnz59Hp06dNGpHHTKZDB9//DH8/f2VrtO1a1d88sknOonHUM4/Q2Wo13xDNGTIEFy4cAH169ev1H67du2Ks2fPwsvLS6N2XFxccOzYMYwYMUI7gelRly5dcOrUKdSoUUPlukZGRli9ejVmzZqlg8hUM3HiRIwfP17fYYjwmBMzMjLCr7/+inXr1sHW1larbatyv9+wYUMEBgaiUaNGavU1d+5cfPPNN2rV1ZWqcO9jiObPn49u3brptI/yZmTp3bu30rNSVNSWurO1vGj27NnYtGkTLC0tNWqnTZs2uHjxYqXfC1QHZmZmOHnyZJmzMZZHJpPhyy+/1Or1rXPnzrh16xZeffVVleqNHj0aV69eLblOp6amitaxt7fXRohKsbKywtatWzWaxYaIiIiIiIgMFxNbiIiIiIiIiKoRHx8fXLlyBXFxcfj9998xfPhwuLi4aNRms2bN8NVXX+HevXt4++23VRrsUVrdunVx+fJlrFmzRq3B/gDg6OiIDz74AM2bN1ep3tChQ3Hv3j0sWrQITk5OavUN/DeQa/Dgwdi2bRt27typdjuGoFGjRrhy5QrWrl2Lhg0batRWu3btsHr1akRGRmopOtX4+Pjg6tWr+PLLL+Hg4KBSXZlMhpEjRyI0NFTrgzWbNWuG27dvY9q0aTA2NlaqTuvWrXHmzBl8/vnnWo1FVfb29ti8eTMCAgLQs2dPjdqqU6cOFixYgPDwcJWTqVxdXXHs2DFs3bpV7UGRVlZWmDZtGnr16qXU+rVq1cKNGzcqPaFGE9999x02bdqk0iDLunXr4ujRo/j000816rt///64c+cO/Pz8VE6csLKywty5cxEcHKxSosLEiRMxffp0eHh4qBqugg4dOiAwMBCrVq1SOSl0xYoV+OOPPzT6TimLoZx/hspQr/mGqG3btggJCcGyZcvUPlZr1KiBRYsWqZQgXNzvRx99pPKgXBMTE0yfPh1hYWFaGRxsKDp27KjWPcH58+cxe/ZsHUenvM2bN+PLL7+EtbW1vkNRwGNO2rRp03D//n289957Gn1mlpaWGDt2LA4ePIgff/xRpboNGjTA9evXMWfOHJibmytVp169ejhw4AC+++47nTy0QVP6uPep6kxMTHDy5Em8//77MDMz00kfXbp0gYWFheR75SWqSOnRo0eZSV7auo5MnjwZISEhGD58uMrngaOjI77++mtcuXJF46Q/KpurqysCAgLw8ccfK33ctmzZEgEBAVi8eLHW4/H09MT+/ftx5coVvPnmm2X+3c3Lywtvv/02rl27hl27dsHNzQ0AIJfLkZmZqbCujY1Nhfctn376KYYPH67R94yRkRHGjRuHu3fvVot7dCIiIiIioupKJgiCoO8g9O3ixYtYv349AgMDERsbC+C//5zu1q0b/Pz80KVLF530m5qaiuvXr+PatWsICgrCtWvXEBMTU/L+kiVL8MUXX6jdfnx8PDZs2IB9+/YhOjoaKSkp8PDwQOPGjTFhwgS89tprGj/FhYiIiIiIiKqG8PBwXL58GXfv3sW9e/fw8OFDJCcnIyMjA1lZWbCwsICtrS3s7Ozg4eGBFi1aoGXLlujcuTNatGihk5gKCgpw9OhR7NmzB4GBgYiMjITUnzGsra3RqFEjdOnSBYMGDULfvn3LHIyirJycHBw+fBiHDh3C5cuXcf/+fRQVFUmuW7NmTTRu3Bht27ZFnz590KNHD4MbyKcNgiDg3Llz2LdvHwIDAxESEoK8vDzJdR0dHdGoUSO0aNECvXr1Qt++fbU+G44mMjIysH37duzfvx8XL15EcnKyaB1TU1O0bt0aAwcOxOTJk9VOmFBFTEwMtm/fjjNnziA8PByJiYnIy8uDra0t6tati06dOmH06NEaD4SSGvSkjT8RhoeHY/fu3Th9+jRu3rwp+SRX4L+Bjw0aNEDTpk3RrVs39O3bF40bN9a4f+C/7Th16hR2796Nc+fO4e7du5LnroWFBRo0aICOHTti4MCBGDBgAOzs7NTq8969e9i5cydu3LiBO3fulFw7c3NzRev6+/vDz89PrX6U4efnhw0bNpTbZ2ZmJvz9/bF7925cuXJFFKeFhQW6d++OSZMmYcKECVofOPjo0SNs2bIFR44cwfXr15GTkyNax9bWFp06dcIrr7yCiRMnapSAKQgCbt++jYsXL+LSpUsIDg5GZGSkaEBWMXt7e7Rs2RJdu3bFhAkT0LJlS7X7LpaXl4cDBw4gICAAt2/fRnR0dMn3q1wuV1jXy8sL0dHRKvdhCOefoTLUa74hys7Oxr59+3DgwAFcvHgRjx8/llzP3t4eTZo0Qffu3TFo0CD06NFDo9l+EhMTsXXrVhw6dAhXrlxBRkaGaB1LS0v4+vpiyJAhmDRpEmrXrq12fy+DR48eYfPmzTh9+jTCwsKQlJQEQRBgb2+PevXqoVOnThgxYoTSCZn6kJmZiV27duHChQu4ffs2YmNjkZmZiaysLNF3c8+ePREQEFBpsfGYk5aWlob9+/fjyJEjuHr1KqKjoyXvEWUyGerUqYPGjRvD19cXffv2RZcuXZROSilPYmIitmzZgpMnTyIkJAQJCQmQy+WwtbWFj48PfH19MWzYMAwZMkSjBypUpsq+96kOnj9/jh07duDKlSsIDg5GfHw8MjIykJ2dLTpmp06divXr1yvd9p9//oknT56IystLAijLr7/+ioSEBFH5zJkzNU6+Lu3u3bvYtGkTTp48iVu3bqGgoEC0jrOzM7p06YLhw4fjtdde0/psTVS+x48fY+/evTh27Bju3buHxMREZGdnl/ze79ixI0aNGqVyEpWmkpOTERcXh9zcXFhbW8PT07PMGVhCQkJEv4/q16+P+/fvK9VXXl4eLl++jIsXL+Ly5csIDw9HdHS05PEK/Jc83bp1a/Tr1w8TJkxQa2Y7IiIiIiIierlU68SWrKwsfPDBB1i3bl25602fPh0///yzVgelNGzYEA8ePCh30IAmiS3btm3DzJkzkZaWVuY6jRs3xtatW9Wa/paIiIiIiIiosuXm5iI2Nhbp6ekQBAE2Njawt7eHu7u7zp/SW1BQgLi4OKSlpSE/Px9WVlawtbWFs7NzlUxiUYYgCIiPj8fz58+Rm5sLc3Nz2NrawsHBAY6OjvoOTyXPnz9HfHw8cnJyYGpqCkdHR9SqVUvpp6W/TAoLC0VPDjY3N5dMwtBUcnJyyX41MjIqSY5zcXGptIGIBQUFiI2NRVpaGgoLC2FtbQ07OzvUqFHjpRkMqQplElteVFRUhEePHiE1NRVFRUVwdHREnTp1Ku3YFwQBcXFxSEpKQn5+PszNzeHu7l4piXCJiYlITU0tGcxsZ2cHe3t7uLq66rzvymAI55+hqk7XfE1lZWUhLi4OGRkZkMlksLGxgaOjo87Pk/j4eCQkJCAvLw9mZmZwcXFBzZo1DXJWBqoaeMxJy8vLQ2xsLDIyMkruo2xtbeHi4qLxgwSqK33e+1D1IZfLERsbi5SUFBQUFMDS0hIeHh5MmCKN/f3335gxY4ZC2bhx47Bt2za125TL5Xj27BnS09ORmZkJU1NT2NnZwcnJqcwEGyIiIiIiIqq6qm1ii1wux5AhQ3DixImSMktLSzRr1gwmJiYICwtDenp6yXsDBw7E4cOHtfafW8r8MVzdxJZNmzZhypQpCmUNGzZEjRo1EB0drTArjJ2dHS5duoSmTZuq3A8REREREREREb1cMjIyRDOTuLi4IDExUU8RkTapmthCREREREREpIwBAwbg5MmTCmXff/895syZo6eIiIiIiIiIqKqpto9m++yzzxSSWmbMmIHY2FgEBQXh0qVLePLkCRYvXlzy/vHjx/H5559rPQ57e3v06dMH8+fPx44dOzSePjUkJEThKRmNGjXCtWvXEBERgYCAAERHR+PEiRMlT/5JT0/HsGHDdPJUTiIiIiIiIiIiMizx8fGiMj4FlYiIiIiIiIjKEhYWhn///VdU3r17dz1EQ0RERERERFVVtUxsiYuLw48//liy/Prrr+PPP/+Ek5NTSZm1tTW+/PJLheSWH3/8EU+ePNFKDFu2bEFERARSUlJw6tQprFy5EmPHjoWZmZlG7S5atAh5eXkA/nva5tmzZ9GuXTuFdfr3749Tp07B3NwcABAZGYnffvtNo36JiIiIiIiIiMjw3b9/X1TWsGFDPURCRERERERERIauoKAAfn5+EARBobxFixbo0KGDnqIiIiIiIiKiqqhaJrb8/PPPJTOUWFlZYfXq1WWu+9lnn6F27doAgJycHPz0009aiWHixIlo2LAhZDKZVtoD/ntKxsGDB0uWly9fXjIzS2nNmjXDhx9+WLL87bffoqioSGuxEBERERERERGR4XlxBuNiLVu21EMkRERERERERKRrwcHBCA4OVqtuTk4OJk+ejKCgINF7s2bN0jQ0IiIiIiIiIgXVMrFlz549Jf9+7bXXFGZqKc3MzAzTpk0rWd67d69OY9PEi9tlY2ODSZMmlbv+W2+9VfLv+Ph4XLp0SWexERERERERERGRfoWGhuLvv/8WlQ8cOFAP0RARERERERGRrgUHB6N169YYPnw4Dh48iPz8fKXqHTt2DF26dMGOHTtE7zVu3Bh+fn5ajpSIiIiIiIiqOxN9B1DZIiIi8ODBg5LlQYMGVVhn8ODBWLZsGQDg/v37uHfvHho2bKizGNV1+PDhkn9369YNNjY25a5ft25dNGrUCBERESX1u3btqtMYiYiIiIiIiIhI99LT0xEWFob8/HzEx8fj7Nmz2LBhA7KyshTWq1OnDnr16qWfIImIiIiIiIhI5wRBwIEDB3DgwAE4ODigR48e8PX1RcOGDeHk5ARLS0ukpqYiMTERQUFBOHXqFO7duyfZlqmpKbZs2QJLS8tK3goiIiIiIiKq6qpdYsvt27cVljt37lxhnbZt28LMzKzkyRW3b982uMQWQRAQEhJSsqzMdhWvV5zYUnrfEBERERERERHRy+nGjRvo3bt3heutWLECMpmsEiIiIiIiIiIiIn1LTU0tSXJRlZmZGfz9/dG2bVsdREZERERERETVnZG+A6hs4eHhJf82MzND7dq1K6xTer0X2zAUjx49UnjiZr169ZSq9+J6hrhdRERERERERESkG35+fpg4caK+wyAiIiIiIiIiA+fq6op///2Xf0cgIiIiIiIinal2iS0xMTEl/65Vq5bST6SsU6dOyb+jo6O1HZbGXtwuQDHe8ry4XkxMDARB0GpcRERERERERERkWKysrLBs2TKsW7dO36EQERERERERkQ516NABEydOhJ2dnVr1XVxc8PXXX+Phw4fo3r27lqMjIiIiIiIi+n8m+g6gsqWnp5f8297eXul6L/7Iz8jI0GpM2vDidgHKb9uL21VUVITs7GxYW1uXuX5eXh7y8vIU6iQnJ8PZ2VnpJCEiIiIiIiIiItKt4pl9ZTIZbG1t4ejoiCZNmqB79+4YN24cXF1dDfJvXKSZgoICUVlOTo7ob4dERERERERUPXh4eOC3337DTz/9hOvXr+PKlSsIDQ1FTEwM4uLikJmZiezsbMhkMjg4OMDR0REeHh7o2LEjunXrho4dO8LCwgKCIPC3JREREREREalFEARkZGSgZs2aMDIqe16WapfYUvyf+gBgYWGhdD1LS0vJNgxF6ZiU3bYXt6u4nfISW1asWIGlS5eqHiAREREREREREVW64oEn6enpiImJwbFjx7Bo0SJ9h0WV6J133sE777yj7zCIiIiIiIjIwCUkJCAhIQERERE4e/Ysvv32W32HRERERERERFXI48ePUatWrTLfr3aJLS8+tdDERPnNf3Hd/Px8rcakDaWfxqjstpVer6JtW7hwIT7++OOS5bS0NNSpUwePHz9We+paIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKqWtLT01G7dm3Y2tqWu161S2yxsrIq+Xdubq7S9V5ct7wZTfTlxe0ClN+20utVtG3m5uYwNzcXldvZ2TGxhYiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIFMhksnLfN6qkOAyGjY1Nyb9zcnKUrpednS3ZhqEoHZOy2/bidkm1Q0REREREREREREREREREREREREREREREpCvVLrHFxcWl5N9Pnz5Vul58fHzJv52dnbUakza8uF2A8tv24nbZ2trC1NRUq3ERERERERERERERERERERERERERERERERGVpdoltjRq1Kjk30lJSaIZS8ry+PHjkn83btxY63FpqmHDhgrLjx49UqqeoW8XERERERERERERERERERERERERERERERFVXdUusaVJkyYKy7du3aqwTlxcHBITE8tswxDY2Nigdu3aJcvKbBcA3Lx5s+TfhrhdRERERERERERERERERERERERERERERERUdVW7xJYOHTrA3Ny8ZDkwMLDCOufPny/5t4WFBTp06KCT2DTVo0ePkn8rs10FBQW4cuWKZH0iIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiJdq3aJLTY2Nujbt2/J8pYtWyqs8+I6ffv2hbW1tU5i09Tw4cNL/h0eHq4wG4uUAwcOICMjAwBgZGSEYcOG6TQ+IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiKiF1W7xBYA8PPzK/l3cHAwDh48WOa6N27cwNGjRyXrGpohQ4bA1dW1ZHn58uVlriuXy/HNN9+ULA8ePBhubm46jY+IiIiIiIiIiIiIiIiIiIiIiIiIiIiIiOhF1TKxZcyYMWjVqlXJ8ttvv427d++K1nv69CkmT54MuVwOAGjdujVGjx4t2WZAQABkMlnJa/369TqJvTzW1tZYuHBhyfKePXuwevVq0XqCIGDu3Lm4du0aAEAmk+HLL7+srDCJiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIgAVNPEFplMhr///huWlpYA/ktg6dixIxYsWIAjR47gxIkTWL58Odq0aYPw8HAAgKWlJf766y/IZDKtxLB8+XJYWFiIXjExMSqtU9q7776Lrl27lix/9NFHGDZsGLZt24aAgACsX78ePXr0UEh4mTNnDtq0aaOV7SIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIlKWib4D0BdfX19s2bIFkyZNQk5ODtLT07Fy5UqsXLlStK6lpSW2bNkCX19frfVfWFiIvLy8cteRy+Uls8W8SBCEMuuYmZlh79696Nu3L0JCQgAAhw4dwqFDhyTXnzhxouQ2ExERERERERERERERERERERERERERERER6Vq1nLGl2MiRI3H9+nX07dtXciYWmUyGfv364caNGxg5cqQeIlSPq6srrl69innz5sHe3l5yHW9vb6xduxZbtmyBkVG1PgyIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiEhPZEJ5039UI48fP8bFixcRFxcHAPD09ESXLl1Qu3ZtPUemmdzcXAQEBCA6OhopKSlwd3dHkyZN0KlTJ8lkHlWlp6fD3t4eaWlpsLOz00LERERERERERERERERERERERERERERERET0slM234CJLaQRJrYQEREREREREREREREREREREREREREREVFpyuYbGFViTEREREREREREREREREREREREREREREREREQlmNhCREREREREREREREREREREREREREREREREesHEFiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiItILJrYQERERERERERERERERERERERERERERERGRXpjoOwAiIiIiIiIiIiIiIiIiIiIiIiIioqqkqKgIhYWFKCoq0ncoRERERCWMjIxgbGwMY2NjfYeigIktREREREREREREREREREREREREREQaKiwsREZGBjIyMpCVlaXvcIiIiIjKZGZmBltbW9jY2MDS0hIymUyv8TCxhYiIiIiIiIiIiIiIiIiIiIiIiIhIA1lZWXj8+DEEQYC1tTU8PDxgZmYGIyMjvQ8UJSIiIgIAQRBQVFQEuVyOrKwspKWlISkpCRYWFqhduzZMTPSXXsLEFiIiIiIiIiIiIiIiIiIiIiIiIiIiNRUntVhbW6NGjRp6HRRKREREpAw7OzsIgoCcnBzExcUhOjoaderUgZmZmV7iMdJLr0REREREREREREREREREREREREREL7nCwsKSpBZPT08mtRAREdFLQyaTwcrKCt7e3pDJZIiJiYEgCHqJhYktRERERERERERERERERERERERERERqyMjIgCAIqFGjBoyMOCSTiIiIXj6mpqbw9PREYWEhMjMz9RID76KIiIiIiIiIiIiIiIiIiIiIiIiIiNSQkZEBa2trztRCRERELzULCwtYWFggLS1NL/0zsYWIiIiIiIiIiIiIiIiIiIiIiIiISEVFRUXIysqCra2tvkMhIiIi0pi9vT0yMzNRVFRU6X0zsYWIiIiIiIiIiIiIiIiIiIiIiIiISEWFhYUAADMzMz1HQkRERKQ5MzMzCIIAuVxe6X0zsYWIiIiIiIiIiIiIiIiIiIiIiIiISEXFTzM3MuJQTCIiInr5GRsbAwATW4iIiIiIiIiIiIiIiIiIiIiIiIiIXiYymUzfIRARERFpTJ/3NExsISIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIr1gYgsRERERERERERERERERERERERERERERERHpBRNbiIiIiIiIiIiIiIiIiIiIiIiIiIiIiIiISC+Y2EJERERE1daNRyk4FhqPpMw8fYdCREREREREREREREREREREREREVC2Z6DsAIiIiIqLKJggC5uy4jT034wAANuYm+H1yO3Rr4KLnyIiIiIiIiIiIiIiIiIiIiIiIiIiqF87YQkRERETVztl7iSVJLQCQmVeIhXuDIS8S9BgVERERERERERERERERERERERERUfXDxBYiIiIiqnaO34kXlT1OzsHNRyl6iIaIiIiIiIiIiIiIiIiIiIiIXkbr16+HTCYrea1fv17fIVEl6NWrl8Lnror4+HgsWbIE3bp1g5ubG0xNTRXaCggI0E3QRAbORN8BEBERERFVtqtRyZLl/4YnwNfbqZKjISIiIiIiIiIiIiIiIiIiIiKiqm779u2YNm0acnJy9B0KkcHhjC1EREREVK08z8zDw8Qsyff+DX9WydEQEREREREREREREREREREREVFVFxgYiIkTJzKphagMnLGFiIiIiKqVoDJmawGABwmZiEnKgpezdSVGREREREREREREREREREREREREVdnHH3+MoqKikuXu3btjypQpqFWrFkxM/n9If6tWrfQRHpHeMbGFiIiIiKqVq9FlJ7YAwL/hCXijm08lRUNERERERERERERERERERERERFXZ3bt3ERQUVLLcq1cvnDp1CkZGRnqMisiw8GwgIiIiomrlajkztgDAv2HPKikSIiIiIiIiIiIiIiIiIiIiInqZ+fn5QRCEkpefn5++QyIDdOnSJYXlGTNmMKmFqBSeEURERERUbaTnFiDsaXq561yNTkZadkElRURERERERERERERERERERERERFXZvXv3FJabNWump0iIDBcTW4iIiIio2rgekwJBKH8deZGAgHsJlRMQERERERERERERERERERERERFVaampqQrLdnZ2+gmEyIAxsYWIiIiIqo2rUclKrXcqnIktRERERERERERERERERERERESkudzcXIVlmUymp0iIDJeJvgMgIiIiIqosyia2BEQkoEBeBFNj5oETERERERERERERERERERGR9hQWFuLChQt48OABnj17BgsLC9SrVw/du3eHk5OTVvpITU1FaGgoIiIikJKSgvz8fDg4OMDNzQ3t27eHl5eXVvqpDAUFBQgJCUFoaCiSkpKQlZUFc3Nz2NrawsvLCw0bNkS9evVUbjcjIwM3b95EREQEUlNTkZeXBysrKzg6OsLb2xtNmzaFu7u7DrZIUUJCAkJDQ/Hw4UOkpqaisLAQTk5O8PDwQMeOHeHh4aH1PgsKCnDx4kWEhoYiNTUVdnZ2qF27Nnr27AlHR0et96dNhYWFuHz5MkJDQ5GcnFwSe69evWBvb69x+1FRUbhy5Qri4uJQUFAADw8P+Pr6onnz5hq1KwiCxrERVXVMbCEiIiKiaiG3QI7g2FSl1k3PLURQdDK61HPRbVBERERERERERERERERERERULeTl5eHrr7/Gr7/+iufPn4veNzY2xpgxY/Dtt9+iTp06iI6Oho+PT8n7U6dOxfr168ts/+bNm9i2bRtOnDiB27dvlzuQvm7dupg9ezZmzJgBS0tLpeL38/PDhg0bSpajoqLg7e2tVN2AgAD07t27ZHnJkiX44osvyq0THx+P5cuXY+vWrUhJSSl3XRcXF/Tp0wfTp0/HwIEDy133xo0bWL58OQ4fPoz8/Pxy1/Xx8cHQoUMxa9YsNG3aVHKd9evXY9q0aSXL/v7+8PPzK7NNQRAQGBiIHTt24OTJk4iIiCg3hhYtWmDOnDmYNGkSTEyUG/b9xRdfYOnSpSXLZ86cQa9evZCXl4dvv/0Wq1evRnKy+OGwxcfgypUr9Zb8VNaxUlBQgB9++AGrVq1CYmKiqJ65uTlGjhyJ77//Hp6enir3e+nSJcydOxcXL16UfL9Zs2ZYtmwZRo0apdZ2lPbiuf2i4s+KqDriI6iJiIiIqFq4+SgVBXLxH216NnSVXP9UeIKuQyIiIiIiIiIiIiIiIiIiIqJq4NGjR2jdujWWLVsmmdQCAHK5HNu3b0fLli1x9uxZldpfs2YN2rZti2+//Ra3bt2qcHaIyMhIzJ49G76+vnjw4IFKfVWGkydPonHjxvjll18qTGoBgOfPn2PHjh348ssvy13vm2++Qfv27bF3794Kk1qA/5J31qxZg61btyode0XmzZuHHj16YM2aNRUmtQBASEgI/Pz80Lt3byQkqD+WJS4uDp06dcLnn38umdQC/P8x6Ovri5s3b6rdl7alpqaid+/eWLBggWRSC/Bf4ti2bdvQtGlTHD16VKX2ly1bhm7dupWZ1AIAd+7cwejRo/HBBx9w9hUiHeGMLURERERULVyNkv5R/k6verj5KAXpuYUK5f+GP8PioU0gk8kqIzwiIiIiIiIiIiIiIiIiIiKqguLj49G7d29ERkYqlMtkMvj4+MDZ2RlJSUmIioqCIAhIS0vDsGHDsGPHDqX7yM3NFZXZ2tqiZs2asLe3R2FhIRITE/H48WOFdcLCwtC9e3fcvn0bbm5u6m2glt25cwfDhg1DXl6eQrm5uTm8vb1hb28PuVyOtLQ0xMTEoKCgQKl2165di4ULF4rKbW1t4e3tDWtra+Tk5CA5ORmxsbE6S16Q+qwcHR3h4eEBOzs75OXl4dmzZ3j69KnCOoGBgejTpw+CgoKUnmWnWGpqKvr164e7d++WlHl6eqJGjRrIzc3F/fv3Ffb38+fP8eqrr+LOnTuws7NTcQu1q6ioCGPHjsWFCxdKypydnVGnTh3k5uYiKipKYZ+mp6dj1KhROHLkSLkzphT7+uuvsWTJElG5k5MTvLy8kJeXh6ioKOTk5AAA/ve//xnMuUJU1XDGFiIiIiKqFq5GJ4nKLEyN0KaOI3o3Fv/gjEnKxsPEzMoIjYiIiIiIiIiIiIiIiIiIiKqot99+WyGpxcTEBAsWLEBsbCwePnyIq1ev4uHDh3j8+DHmz58PExMTZGRk4J133lGpH3Nzc7z22mvYuHEjYmJikJ6ejrt37+LKlSu4fv06Hj16hOfPn+O3335DzZo1S+rFx8djxowZWtteTc2fP18hyaJ169Y4dOiQwvZcu3YN9+/fR1ZWFm7cuIGvvvoKLVq0KLPNvLw8zJ8/X6Fs9OjRuHbtGtLS0hAcHIxLly7h1q1bePToEdLS0nDq1CnMmTMH7u7uWt9GW1tbTJs2Dbt27cKTJ0+QnJyMsLAwXL58GTdv3sSTJ08QGxuLb775Bg4ODiX17ty5gwULFqjc35w5c3D37l2YmJjgvffew4MHDxAbG4ugoCCEhIQgKSkJ33//PUxNTUvqxMbG4quvvtLG5mpk48aN+PfffwEAbdu2xZkzZ5CYmIgbN24gLCwMiYmJ+OOPPxT2U25uLiZOnIjU1NRy27548SIWL16sUFbcx/Pnz3Hjxg3cuXMHz58/x9q1a+Hs7AwAWLp0aYUzHbVq1QonT54seQ0YMEDh/c2bNyu8X/xq1aqVknuGqOrhjC1EREREVOUVyItwIyZVVN6mtiPMTIzQt4k79t96Inr/3/AE1HezrYQIiYiIiIiIiIiIiIiIiIiIqKo5ePAgDhw4ULJsamqKvXv3YujQoaJ1PT09sXLlSnTr1g2jRo1CVFSU0v0MHjwYU6ZMqXAmCWdnZ8ycORPjxo1D//79cf36dQDAgQMHEBYWhqZNmyrdpy6kpaXhxIkTJcuNGzfGxYsXy5yhxNTUFG3atEGbNm3w6aefKsxI8qJTp04hOTm5ZHnKlCnYsGFDmXHY2tqiT58+6NOnD77++mvExsaquUVi06ZNw9dff13hTCienp745JNPMH78ePTu3bvkePjrr7+wZMkSODk5Kd1nZGQkzM3NsWfPHgwZMkT0vrW1NebMmQMPDw9Mnjy5pHz9+vVYvny5QsJLZYuJiQEADBkyBPv27RPFYmNjg7feegu9e/dGt27dkJCQAOC/hK1Fixbhl19+kWy3qKgIb731lsLMPGX1YWVlhenTp6Nv377o2rUr4uLiEBcXV27cjo6O6NevX8ny5s2bFd7v2rUrvL29y994omqGM7YQERERUZUXGpeGnAK5qLyDz38/8ns2dIWJkUz0/r9hz3QeGxEREREREREREREREREREVVNP//8s8LyokWLJJNaXjRs2DCVZ+Vo1qxZhUktL3J0dMQ///wDI6P/H0a8fv16lfrUhaioKBQWFpYs+/n5lZnUIqVx48aS5ffu3VNYVmU2HDMzM9StW1fp9SvSrl27CpNaXuTl5YW//vqrZDknJwfbtm1Tud9vvvlGMqnlRZMmTULHjh1LlhMSEkqSn/SpRo0a2LZtW7kJNg0aNMDGjRsVyvz9/ZGWlia5/smTJ3Hnzh2V+vDy8lJr3xORcjhjCxERERFVeVejkiXLixNb7C1N0cHHCRcfJim8f+NRCpIy8+BsY67zGImIiIiIiIiIiIiIiIiIqHpYsDsYEc8y9B1GldbI3RbfjG6p1xji4uJw6tSpkmUHBwd88sknStVduHAh/ve//5U5KF8bGjRogA4dOuDy5csAgIsXL+qsL2Xl5OQoLGtrphBdtVtZ+vbtixo1auDp06cA/vusVEnO8fT0xLvvvqvUuuPGjcOVK1dKlm/cuIFOnTqpFrCWLV68GLa2thWuN3DgQPTp0wenT58G8N/n/s8//2DmzJmiddetW6dWH926dcOIESOwb98+5YInIqUxsYWIiIiIqrygaHFii4mRDG3qOJQs923iLkpsKRKAMxGJGNOulq5DJCIiIiIiIiIiIiIiIiKiaiLiWQZuPkrVdxikYxcvXoQgCCXLo0ePhoWFhVJ1raysMGrUKPj7++sqPACAj49PSWLLzZs3ddqXMmrWrKmwvGPHDrz//vsaJ6KUbnfz5s1o27atRm1WNm9v75LEFlU/q1GjRim9D1u3bq2w/PjxY5X60jZTU1OMHz9e6fWnTp1aktgCAAEBAZKJLQEBAWr34efnx8QWIh0wqngVIiIiIqKXV1GRIDljS4ta9rAy+/88735NpKfkPRX+TGexERERERERERERERERERERUdV07do1heUuXbqoVF/V9Ys9e/YM//vf/zBp0iS0aNEC7u7usLS0hEwmE73++eefknrZ2dmimU0qm5eXFxo0aFCyfOXKFQwaNEjj2WT69OkDY2PjkuUff/wR77zzDiIjIzVqV1PR0dH49ttvMXbsWDRp0gSurq4wNzeX/KwuXbpUUu/58+cq9ePr66v0um5uiuNndDlrkDJatmwJJycnpdfv1auXwvLVq1dF68TExCAhIUHtPnr27Kn0ukSkPM7YQkRERERVWsSzDKTnForKO3gr/iD1crZGAzcb3E/IVCg/dy8ReYVymJsYg4iIiIiIiIiIiIiIiIiIiEgZcXFxCstNmjRRqb6q6z9//hzz58/Hxo0bIZfLVapbLDU1FZaWlmrV1ZYvvvgCkyZNKlk+ffo0Tp8+DW9vbwwcOBA9e/ZEly5d4OXlpXSbtWvXxvTp0/HXX3+VlP3222/47bff0K5dO/Tr1w89evRAp06dVEpwUFdMTAxmz56NAwcOKMzqo6zU1FSV1i+drFIea2trhWV9Jzs1b95cpfXr1KkDOzs7pKenA/hvXwuCAJlMVrJOVFSURn04ODigdu3aep/Nhqiq4YwtRERERFSlSc3WAgAdfMR/iOjX1F1UlpUvx+VI6TaIiIiIiIiIiIiIiIiIiIiIpJROPrC3t1epvoODg9LrPnz4EG3atIG/v7/aSS0AkJeXp3ZdbZk4cSK+/PJLhUQE4L/ZTf744w9MnDgR3t7e8Pb2xltvvYXTp08rlRzy888/Y9iwYaLy69evY+XKlRg6dChcXFzQpk0bfPrpp7hz547WtulFV69eRatWrbB//361kloAID8/X6X1LSws1OoHgNoxaouzs7PKdV5MTioqKipJcilW+txUpw916hBR+ThjCxERERFVaVejxUkpMhng6yWR2NLEDb8FPBSVnwp/hp4NXXUSHxERERERERERERERERERVS+N3G31HUKVZwj7uHSSiJmZmUr1zc3NlVovPz8fQ4YMQWxsrEJ5gwYN0LNnTzRq1Aienp6wtraGpaWlQsLId999hxMnTqgUV2VYvHgx+vfvj2XLluH48eOSyToxMTH466+/8Ndff6F58+b44Ycf0L9//zLbtLCwwP79+7Ft2zZ8++23uHXrlmgdQRBw69Yt3Lp1CytWrMDQoUOxevVq1K9fXyvblZSUhCFDhiAtLU2hvGXLlujevTvq16+PmjVrwtLSEhYWFgqf1Zw5cxAcHKyVOF4mVlZWKtcpPetMZmamQmJZZmam1vsgIs0xsYWIiIiIqixBECRnbGnsYQd7K1NReevajnC2NkNSluKTLf4Ne4alrzYTPQ2EiIiIiIiIiIiIiIiIiIhIVd+MbqnvEKgSlJ6hpfRg+oqUnmWiLL///jvu3btXsuzu7o7169dj0KBBFdZdu3atSjFVpo4dO+Lw4cN4+vQpTpw4gYCAAJw7dw6RkZGidUNDQzFw4ECsWrUKH330UZltymQyTJgwARMmTEBYWBhOnjyJgIAABAYG4vnz56L1Dx8+jHPnzuHw4cPo3r27xtv01VdfISkpqWS5QYMG2Lx5Mzp06FBhXXWSL6qC7OxsletkZWUpLNvY2Cgsl05K0UYfRKQ5I30HQERERESkK9FJ2UjMEE+T28HbUXJ9YyMZejd2E5U/SctF+NMMrcdHREREREREREREREREREREVZOTk5PC8pMnT1Sqr+z627ZtU1jeu3evUkktAJCcLH5YaFk0eRioOokDxWrUqIGpU6fC398fDx8+RFxcHDZt2oTRo0fD1PT/H2oqCALmzJmDy5cvK9Vu06ZNMXv2bOzduxcJCQkICwvD6tWr0a1bN4X1MjIyMGbMGJUTk6Rs37695N8WFhY4duyYUkktgGqfVVUilXBUkRf3lZGREezs7BTed3Bw0LiPFxOUiEg7mNhCRERERFVWkMRsLQDQwce5zDr9mogTWwDg3/BnWomJiIiIiIiIiIiIiIiIiIiIqr6mTZsqLN+8eVOl+rdu3apwnaKiIgQFBZUst27dGp07d1a6jzt37ii9roWFhcJyTk6O0nUTExOVXrciNWvWxOTJk7Fr1y7cv38f7du3L3lPEAT8+OOPKrcpk8nQpEkTzJ49G+fPn8e5c+fg4uJS8n5CQgI2bdqkUdyPHj1SSFYaNGgQ6tatq1TdnJwcREVFadT/yyo0NFSl9WNiYhRmO/Ly8hIlZZXe76r2kZqaisePH6tUh4gqxsQWIiIiIqqyrpSR2NLeR3rGFgDo3sAVZsbi2+RTTGwhIiIiIiIiIiIiIiIiIiIiJZWeiePQoUMq1T9w4ECF6yQlJaGwsLBkuVGjRkq3f+/ePcTFxSm9fulZL549U34cxYvJN9rk5eWFrVu3KpQFBgZq3G737t3xzTffaLXd0vtLlc/q/PnzKCgo0Kj/l1VISIhKs9WcPXtWYVlqRhwvLy+4uf3/g2817YOItEOriS1//PGHVqbaIiIiIiLShqvR4mk/fVys4WZrIbH2f6zNTdC5nnhGl9uxaUhIz9VqfERERERERERERERERERERFQ1tW/fHu7u7iXLly9fxvXr15Wqe/XqVaWSQQRBUFjOz89XOr5ff/1V6XWB/5IBXqTsDDQFBQXYu3evSn2pon79+gr7+fnz51ppt2vXrgrLmrZbmZ9VVVJQUIBt27Ypvf6GDRsUlnv27Cm53ovlqvaxfv16pdclIuVpNbFl1qxZqFGjBmbMmIErV65os2kiIiIiIpU8TcvB42TxtLcdvJ0qrNuvqbtk+am7CRrHRURERERERERERERERERERFWfqakppk2bplA2a9Ys5OaW/1DNnJwczJw5U6k+nJ2dYWJiUrJ8+fJlhRlcynLr1i2VkyXatm2rsLxjxw6l6v3vf//DkydPVOpLFfn5+UhPTy9ZdnR01Eq7pRNZNG3Xw8NDYVnZGWCOHDmC/fv3a9T3y2758uXIyMiocL3jx4/j9OnTJcuWlpaYMGGC5LrTp09Xq4/AwEDs27evwvWISHVaTWwBgOzsbKxbtw5dunRBy5YtsWbNGqSmpmq7GyIiIiKicl2Nkp4itINPxYktfRu7SZafCld+Gl0iIiIiIiIiIiIiIiIiIiKq3j766CM4Of3/OIWgoCAMHz4cCQnSD9Z89uwZhg0bhps3b0Imk1XYvrGxMTp27Fiy/PTpU6xatarcOg8ePMDw4cNRUFCg5Fb8p127dnBz+//xFJcvX8bWrVvLrXPkyBF8+umnSvexdetWrFixAikpKUrX+eWXX5CT8/8PPm3Xrp1onc8++wybN29WKukH+G92ldL7UapdVdSpUweenp4ly0FBQdi+fXu5da5evYrJkydr1G9V8PTpU4wfP77cY/bBgweYMmWKQtnUqVPh4OAguf6AAQPQpEkTlfqIiYnB+PHjVQueiJSm9cSWYoIgIDQ0FLNnz0bNmjUxZcoUnDt3TlfdEREREREp0CSxpaaDJZrWsBOVn7//HDn5co1jIyIiIiIiIiIiIiIiIiIioqrPzc0NP/30k0LZiRMn0KhRI8yaNQtbtmzB0aNHsXnzZsycORONGjXCqVOnAABvv/22Un2UHsy/cOFCzJ07V5Q88/z5c6xatQq+vr549OgRZDIZGjVqpPS2mJqaws/PT6Fs2rRpWLVqFbKyshTKHz58iA8++ACvvvoq8vLyUK9ePaX6SEhIwKeffopatWphzJgx+OeffxATEyO57r179/Dee+9hzpw5CuUzZswQrRsSEoLXX38dnp6emDVrFo4dO4akpCTRekVFRQgMDMSAAQMUZuWwsrLCxIkTldqG8pT+rKZMmYIVK1YozDgDALGxsVi8eDF69OiBlJQUWFhYwNvbW+P+X0ZeXl4A/kuS6ty5M86ePQtBEErez8rKwl9//YUOHTooHPPu7u74+uuvy2zXyMgIf/zxh0ICWXEfAQEBCn1kZ2fD398fvr6+iIuLg4mJiUKSEhFph0nFqyjvww8/xKZNm0ou9jKZDIIgIDc3F1u2bMGWLVvQoEEDzJgxA1OnToWLi4s2uyciIiIiKhEULU5sqWFvgVqOlkrV79fUHWFPFf9wkFdYhAsPnqNfU3etxEhERERERERERERERERERERV2+TJkxEdHY3PPvuspCw1NRW///47fv/9d8k6I0aMwLx58xTeNzGRHvI7bdo0/Pbbb7h16xaA/59t5Mcff0SDBg3g4OCApKQkREVFQS7//4d5Lly4EHFxcYiIiFB6WxYtWoQtW7YgLi4OAJCfn4+5c+di0aJFaNCgASwsLBAfH4/Y2NiSOo0bN8aKFSswcuRIpfvJzs7G7t27sXv3bgCAg4MDPDw84ODggPz8fDx+/BiJiYmieuPHj8eIESPKbDchIUFhv9eoUQMuLi6wtrZGVlYWoqKikJmZKaq3atUqrSQyzJ07F5s2bSrZP/n5+fj000/x+eefo1GjRrC2tkZiYiKio6MVEit+/vlnbNmyBdHR0RrH8LKZMmUKLl++jJMnT+L69evo1asXnJ2d4eXlhdzcXERFRSn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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "multiplier_a = 13\n", + "multiplier_b = 20.0\n", + "\n", + "\n", + "variance_color = 50.0\n", + "variance_depth = 0.1\n", + "outlier_prob = 0.1\n", + "ray_outlier_prob = 0.005\n", + "\n", + "gaussian_logpdfs = jax.vmap(gaussian_logpdf, in_axes=(None, 0, 0, None, None, None))(\n", + " gt_image,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_a,\n", + " variance_color,\n", + " outlier_prob,\n", + ")\n", + "new_logpdfs = jax.vmap(new_logpdf, in_axes=(None, 0, 0, None, None, None))(\n", + " gt_image,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_b,\n", + " variance_color,\n", + " outlier_prob,\n", + ")\n", + "# (observed_rgb, observed_depth, rendered_rgb, rendered_depth, multiplier, color_tolerance, outlier_prob, ray_outlier_prob):\n", + "new_ray_outlier_logpdfs = jax.vmap(\n", + " new_ray_outlier_logpdf, in_axes=(None, None, 0, 0, None, None, None, None)\n", + ")(\n", + " gt_image,\n", + " gt_image_depth,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_b,\n", + " variance_color,\n", + " variance_depth,\n", + " ray_outlier_prob,\n", + ")\n", + "\n", + "\n", + "fig, axes = plt.subplots(1, 1, figsize=(40, 7))\n", + "distances = linear_poses.pos[:, 2]\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(gaussian_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"gaussian_pdf\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"new_pdf\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"new_outlier_ray_pdf\",\n", + ")\n", + "num_ticks = 3\n", + "\n", + "xticks = list(np.linspace(0.35, 3.25, num_ticks))\n", + "axes.set_xticks(\n", + " xticks\n", + " + [\n", + " linear_poses.pos[gt_near_ind, 2],\n", + " linear_poses.pos[gt_far_ind, 2],\n", + " linear_poses.pos[0, 2],\n", + " linear_poses.pos[-1, 2],\n", + " ]\n", + ")\n", + "axes.set_xticklabels(\n", + " [\"%.1f\" % f for f in xticks] + [\"Pose A\", \"Pose B\", \"Near\", \"Far\"], fontsize=30\n", + ")\n", + "axes.tick_params(axis=\"y\", labelsize=25)\n", + "axes.set_ylim(0.0, 0.1)\n", + "\n", + "title = \"Scene object posterior conditioned on two mugs\"\n", + "plt.title(title, fontsize=40)\n", + "plt.legend(fontsize=30)\n", + "# alpha value: pose = (1 - alpha) * point1 + alpha * point2\n", + "plt.xlabel(\"Distance from camera (meters)\", fontsize=30)\n", + "plt.ylabel(\"Posterior Probability\", fontsize=30)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Posterior Probability')" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "multiplier_b = jnp.array([1.0, 10.0, 10000.0])\n", + "\n", + "ray_outlier_prob = 0.005\n", + "\n", + "mapped_evaluate = jax.vmap(\n", + " jax.vmap(\n", + " new_ray_outlier_logpdf, in_axes=(None, None, 0, 0, None, None, None, None)\n", + " ),\n", + " (None, None, None, None, 0, None, None, None),\n", + ")\n", + "new_ray_outlier_logpdfs = mapped_evaluate(\n", + " gt_image,\n", + " gt_image_depth,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_b,\n", + " variance_color,\n", + " variance_depth,\n", + " ray_outlier_prob,\n", + ")\n", + "\n", + "\n", + "fig, axes = plt.subplots(1, 1, figsize=(40, 7))\n", + "distances = linear_poses.pos[:, 2]\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[0]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"1 ray per pixel\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[1]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"10 rays per pixel\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[2]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"100 rays per pixel\",\n", + ")\n", + "num_ticks = 3\n", + "\n", + "xticks = list(np.linspace(0.35, 3.25, num_ticks))\n", + "axes.set_xticks(\n", + " xticks\n", + " + [\n", + " linear_poses.pos[gt_near_ind, 2],\n", + " linear_poses.pos[gt_far_ind, 2],\n", + " linear_poses.pos[0, 2],\n", + " linear_poses.pos[-1, 2],\n", + " ]\n", + ")\n", + "axes.set_xticklabels(\n", + " [\"%.1f\" % f for f in xticks] + [\"Pose A\", \"Pose B\", \"Near\", \"Far\"], fontsize=30\n", + ")\n", + "axes.tick_params(axis=\"y\", labelsize=25)\n", + "axes.set_ylim(0.0, 0.1)\n", + "\n", + "title = \"Scene object posterior conditioned on two mugs\"\n", + "plt.title(title, fontsize=40)\n", + "plt.legend(fontsize=30)\n", + "# alpha value: pose = (1 - alpha) * point1 + alpha * point2\n", + "plt.xlabel(\"Distance from camera (meters)\", fontsize=30)\n", + "plt.ylabel(\"Posterior Probability\", fontsize=30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Posterior Probability')" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "multiplier_a = 13\n", + "multiplier_b = 20.0\n", + "\n", + "\n", + "ray_outlier_prob = jnp.array([0.0025, 0.025, 0.25])\n", + "\n", + "mapped_evaluate = jax.vmap(\n", + " jax.vmap(\n", + " new_ray_outlier_logpdf, in_axes=(None, None, 0, 0, None, None, None, None)\n", + " ),\n", + " (None, None, None, None, None, None, None, 0),\n", + ")\n", + "new_ray_outlier_logpdfs = mapped_evaluate(\n", + " gt_image,\n", + " gt_image_depth,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_b,\n", + " variance_color,\n", + " variance_depth,\n", + " ray_outlier_prob,\n", + ")\n", + "\n", + "\n", + "fig, axes = plt.subplots(1, 1, figsize=(40, 7))\n", + "distances = linear_poses.pos[:, 2]\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[0]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"ray_outlier_prob = 0.0025\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[1]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"ray_outlier_prob = 0.025\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[2]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"ray_outlier_prob = 0.25\",\n", + ")\n", + "num_ticks = 3\n", + "\n", + "xticks = list(np.linspace(0.35, 3.25, num_ticks))\n", + "axes.set_xticks(\n", + " xticks\n", + " + [\n", + " linear_poses.pos[gt_near_ind, 2],\n", + " linear_poses.pos[gt_far_ind, 2],\n", + " linear_poses.pos[0, 2],\n", + " linear_poses.pos[-1, 2],\n", + " ]\n", + ")\n", + "axes.set_xticklabels(\n", + " [\"%.1f\" % f for f in xticks] + [\"Pose A\", \"Pose B\", \"Near\", \"Far\"], fontsize=30\n", + ")\n", + "axes.tick_params(axis=\"y\", labelsize=25)\n", + "axes.set_ylim(0.0, 0.1)\n", + "\n", + "title = \"Scene object posterior conditioned on two mugs\"\n", + "plt.title(title, fontsize=40)\n", + "plt.legend(fontsize=30)\n", + "# alpha value: pose = (1 - alpha) * point1 + alpha * point2\n", + "plt.xlabel(\"Distance from camera (meters)\", fontsize=30)\n", + "plt.ylabel(\"Posterior Probability\", fontsize=30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# posterior with sub 1-ray per pixel\n", + "\n", + "\n", + "def new_ray_outlier_logpdf_sub(\n", + " observed_rgb,\n", + " observed_depth,\n", + " rendered_rgb,\n", + " rendered_depth,\n", + " frac,\n", + " color_tolerance,\n", + " depth_tolerance,\n", + " ray_outlier_prob,\n", + "):\n", + " observed_lab = b3d.rgb_to_lab(observed_rgb)\n", + " rendered_lab = b3d.rgb_to_lab(rendered_rgb)\n", + " color_error = jnp.linalg.norm(\n", + " observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1\n", + " ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0])\n", + " depth_error = jnp.abs(observed_depth - rendered_depth)\n", + "\n", + " valid_data_mask = rendered_rgb.sum(-1) != 0.0\n", + "\n", + " color_inliers = (color_error < color_tolerance) * valid_data_mask\n", + " depth_inliers = (depth_error < depth_tolerance) * valid_data_mask\n", + " inliers = color_inliers * depth_inliers # sample inlier pixels\n", + "\n", + " rendered_areas = (rendered_depth / fx) * (rendered_depth / fy)\n", + " observed_areas = (observed_depth / fx) * (observed_depth / fy)\n", + "\n", + " key = jax.random.key(0)\n", + " mask = jax.random.choice(\n", + " key, jnp.array([0, 1]), rendered_areas.shape, p=jnp.array([1 - frac, frac])\n", + " )\n", + "\n", + " inlier_noise_density = 1 / (2 * color_tolerance)\n", + " inlier_branch_score = (\n", + " 1\n", + " / jnp.sum(rendered_areas)\n", + " * (inlier_noise_density * jnp.sum(inliers * rendered_areas))\n", + " )\n", + "\n", + " outlier_noise_density = 1 / (2 * depth_tolerance)\n", + " depth_max = 20\n", + " V = 1 / 3 * jnp.power(depth_max, 3) * h * w * 1 / (fx * fy)\n", + " outlier_branch_score = 1 / V * jnp.sum(observed_areas) * outlier_noise_density\n", + "\n", + " return jnp.log(\n", + " (1 - ray_outlier_prob) * inlier_branch_score\n", + " + ray_outlier_prob * outlier_branch_score\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Posterior Probability')" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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xqUX6d6e8bds2hYWF6YEHHtC1a9fyHDs2NlblypXTCy+8oKVLl+aa1CL9+zinTp2q2rVrZzm51xaGYeill15Sjx499Pfff2dJagEA/B83NzdTOTU1Ndt2+/fvV82aNfX666/n+KPdjf5//fWXWrVqpSeffFIpKSlWxfHhhx+qSZMmmj9/fp4/2kn/fhH64osv9NNPP1k1/rhx41S9enVNmzYtxx/tJCkhIUGzZs1SaGiopk6datXY9hAXF6f58+dbyqVKlVK3bt0s5Yz/F0gyfSkEAAAAAMBWPXr0MK3avn79em3cuDHPfuHh4frtt98sZQ8PDz366KMFEiMAAAWN4+Nmjjo+bqvM5zLYcsFEAAAAALhT9O3bV127dtXUqVNzTWqR/j3nduPGjXrooYfUu3dvq84PzsnKlStVu3ZtffPNN1mSWm5l06ZN05kzZyzl0NDQInPRp7Vr15rKjl5EgsSWO9z169d16tQpU11QUJBNY2Ruf/jw4ZuOK78SExP18ssva9asWZa6gIAAjRkzxmExOcK7775rOpg6ZcoUnT592q5zLFy4UO3atVNERISp3t3dXdWrV1fTpk0VGhqaJaFo4cKFuu+++7Isq5VZWlpalgPALi4uqly5surXr6977rlHoaGhWZa0TkpK0sCBAzVz5sx8Pa4333xTX3zxhaXs6emp0NBQNWrUSIGBgfkaEwBuVxn/4Zayz9jetm2bWrVqpePHj5vq3dzcVK1aNTVu3Fjly5fP0u/777/XAw88kOcPcVOnTtWIESOyJCJ6e3urTp06uvfee1WvXj0FBQVZfUWAG9LS0vTEE09o5MiRWeIoXbq06tatq8aNG6tChQqm+5KTk/X000/rk08+sWm+/Pr11191/fp1S7lPnz6m/wNatGihkJAQS/mvv/5SZGRkocQGAAAAALj9+Pn56c033zTV9erVK9eVWw4ePKhu3bqZvl+PGzdOZcqUKbA4AQAoSBwfLxrHx2317bffmsodO3Z0UCQAAAAAUHRld35vQECAatasqXvuuUf16tWTv79/ljbz5s1TWFhYvi4ov3PnToWFhenKlSuWuuDgYDVu3FhVq1bNcoGJW8WMGTM0ePBgS9nZ2VlffPGFzd/TC0JaWlqWc60zXkzZEUhsucPFxMTIMAxL2c3NzeYfkjIfrDp//rxdYsvJ5s2btXLlSsvfokWLNG3aNA0ePFjBwcH69NNPLW0DAwO1bNmyO+7HscqVK+uZZ56xlJOSkuya3LN//3498sgjppNoW7VqpUWLFunKlSs6dOiQNm/erIMHD+rSpUv65ptvVLZsWUvbLVu26JVXXrFqrsaNG+v999/X9u3bde3aNR0/flw7d+7Upk2bdPDgQV29elUrV65U586dTf1eeOEFm5N5Dhw4oI8++kiSVK1aNc2ZM0eXLl3SwYMHtW3bNkVHR2vv3r2qW7euTeMCwO0oISEhywkrlStXNpXj4+PVp08fxcbGWuqKFy+ujz76SGfPntWRI0e0detWRUVFaffu3XrwwQdN/f/880+98847OcaQlJSkYcOGmep69eqlbdu26cqVK9qzZ482btyoXbt26dSpU7py5Yr++usvvfbaa6bPpZyMGTPGtLqJm5ubhgwZov379ysmJka7d+/W1q1bFRkZqfDwcD333HOmLx3Dhg3Thg0b8pznZmVeqSzzCi1OTk6mK+Cmp6frhx9+KPC4AAAAAAC3r+HDh5u+a0ZHR6tZs2YKCwvT//73Py1atEiLFy/WN998o759+6pevXo6evSoqf9rr73miNABALhpHB8vOsfHrZWcnKzXXntNy5Yts9R5eXnphRdecGBUAAAAAFB0+fv7a/DgwVq8eLEuXLig8+fPa//+/dq0aZN27dqlCxcu6OjRoxoxYoQ8PDws/f766y/TedzWGjRokBISEuTh4aG3335bkZGROnHihLZu3arw8HCdP39er776qj0fol0cOXLEdE770qVL9dNPP+nNN99UrVq19MQTT1guGOHu7q5p06apffv2Do76X1OmTDFdjMPNzc3hq6w7GRmzGnDHOXjwoGrWrGkp+/r62rx806RJk0w/QPXt21ezZ8+2V4hZ1K9fX7t37861jYeHh5544gmNGTNGAQEBBRaLo4WEhJiW+YqNjZWfn5+kf39IrFq1qiX5xNXVVQcOHFC1atVsHiuj1NRUNWjQQPv27bPUjR49WiNHjsw1gzAqKkrt2rUz/Xi5Y8cONWjQINv2169f1+7du3XvvffmOGZmY8eONR3gHTZsmMaPH59rn+xibtWqlZYsWaISJUpYPTcA3Koy7/9XrVqltm3b5tlv/PjxGj58uKnu77//Vrt27Szll156ybQKlq+vr1atWpXjvl+S3n77bb333nuWsrOzs7Zu3aqGDRtmabtkyRJ1797dUn788cdNP7TlJjk5WZGRkapSpUq292/YsEGtWrWyXEHA399fS5cuVePGjXMd95dfftGjjz5q6Ve3bt08/2+5GeHh4abP9sqVK+vYsWNZPt8y/89XvXp1HTp0qMDiAgAAAAAUrNWrV5u+gwcHB+vEiROFGoNhGPryyy81evRoXbhwwao+LVq00OjRo4vMD3cAgDsbx8dvvePjmf8HKlu2rGbNmpVt2+TkZF24cEG7du3Sb7/9Zrooopubm2bPnq1evXrZNT4AAAAAcJTM33EnTJigevXqWd2/UaNGKlmypCRp48aNatCggSlhJTe7du1S+/btdenSJUn/Lphw4sQJubq65tjniSeeyPI9tkSJElq6dKlatmxpddyO9vLLL+eZyOPk5KQuXbrogw8+sOk1KUjHjh1TgwYNFB8fb6l7+eWXHb4CKyu23OGuXr1qKlu7E8rI09Mz1zELm7u7u/773/9q6NCht3VSS17KlStnusJMamqq3n333Zsed+7cuaaklueee07vvPNOnstiVahQQb/99pucnf9vtzNx4sQc23t6etqU1CJJI0eOVKtWrSzlzFewt0bJkiX166+/ktQCALlYuHChRo4caaqrXLmy6UvF5cuXNW3aNFObqVOn5vqjnSSNGzdOXbt2tZTT09Nz/If5yJEjpnLGZRvz4u7unuOPdtK/V6O78eObs7OzFixYkOePdpL0yCOPmBJ+9+zZo5UrV1odl60yf8F79NFHs/1MrlGjhunHz8OHD2vTpk0FFhcAAAAA4Pbn5OSkF154QTt27FCPHj3ybN+iRQu99tprppNRAQC41XB8PGeFfXxcks6dO6eOHTtm+9e9e3c98cQTmjx5siWpxc3NTffff7+2bNlCUgsAAACA29rQoUNz/L6U3V/GCxM0a9bMpvPJ69evr48++shSjoqK0vLly22OecKECbdUUou1+vTpo7feeqvIJLUkJCSod+/epqSW4OBgjRkzxoFR/YvEljtcYmKiqezu7m7zGMWKFTOVb6wQ4ijJycn66KOPVL16dT399NOmN96dZvjw4fL29raUf/nlF+3du/emxpw8ebLldvHixfXBBx9Y3bdOnToKCwuzlBcsWKC0tLSbiiez/v37W26fP39e4eHhNvV/4YUXFBgYaNeYAOBWl5aWppiYGC1btkyPPvqowsLClJKSYmozbtw4ubm5Wco//fSTEhISLOUWLVpY/SPRpEmTTOVff/1VV65cydIu8/8cGee/GQcPHtSyZcss5UceeUTNmze3uv8bb7xhuuLAb7/9Zpe4MjMMQzNnzjTVPfbYYzm2z3xffhJAAQAAAAC44dq1a3r11Vd19913a9GiRXm2X79+vXr27KlatWpxsQUAwC2D4+NF8/h4fjg5OalHjx567rnniszJRAAAAABwu+jbt69cXFws5Q0bNtjUv1KlSnrmmWfsHVaR8Ouvv6ply5Zq3bq1zec025thGBowYIB27dplqXN1ddWPP/5oOt/cUUhsucNlzqhLTk62eYykpKRcx7S3Xbt2yTAMy19cXJyOHDmiWbNmma5gk5aWpqlTp6ply5a6ePFigcZUVJUuXVqvvvqqpZyenp7lCkK2uHjxorZs2WIp9+jRw7L0mLU6depkuX316lXt3Lkz3/Fkp3LlyqayreP369fPnuEAwC2nXbt2cnJyMv25uroqICBAXbp00ezZs2UYhqnPq6++qkcffdRU988//5jKTz75pNUxhIaGmn4oS05OzvaEl/Lly5vKs2bNsnqO3CxdutRU/s9//mNT/9KlS6tRo0aW8tq1a+0SV2arVq3SqVOnLOVGjRopNDQ0x/b9+vUzfYH85ZdfsvwfBwAAAACANc6cOaPGjRvrk08+sZxYW716dX355Zc6dOiQrl69qoSEBB07dkzTp083fU8+dOiQWrVqpd9//91B0QMAkD2Oj986x8fzwzAMzZ8/Xz169FDTpk116NAhR4cEAAAAALcNLy8vlSlTxlK29dzdRx55RM7Ot15aw+TJk03ntCckJOj06dNatGiRnnrqKXl6elrarl27Vk2aNNG2bdscFu9rr72muXPnmuo+/fRTtWjRwkERmd16WwDsqkSJEqZy5hVcrJH5ajCZxyxo3t7eqlatmvr3768lS5Zo+fLlpmSLPXv2aMCAAYUaU1Hy6quvqnTp0pbyggULTMkptli3bp3pYK01S05nVqlSJVP54MGDefZJSUnRwoUL9dJLL6l169aqWLGifHx85OzsnOXgcufOnU19Y2JirI7N29tbNWrUsLo9ANzpvLy89OWXX2rixIlZ7tu8ebOpfN9999k0dvv27U3l7H64u++++0yJGp988okGDx6s48eP2zRXZpl/aLvZz7tDhw5l+bHTHjKvuJJx1bLsBAYGml6Hy5cvcxIRAAAAAMBmiYmJ6tSpk+lk0Kefflp79uzRoEGDVL16dXl5ecnT01NVqlTRgAEDtHXrVr311luW9qmpqerXr59Vx4cBACiKOD6es8I4Pn5DcHCw6QSijH9paWmKjY3Vtm3b9PHHH6tKlSqWftu2bdO9995r94swAgAAAEBRsWrVqhy/L2X317Zt22zH2b9/v0aPHq2wsDBVq1ZN/v7+cnd3z3LurpOTk6Kjoy39bDl3V5KaNm16Mw+3yPD09FTFihXVvXt3fffdd9qzZ4/q169vuf/y5ct68MEHdfny5UKP7cMPP9Qnn3xiqnv33Xc1ePDgQo8lJyS23OEyJ6EkJCTYfGDp2rVruY5Z2Dp27KjFixebMvcWL16sFStWODAqx/Hx8dEbb7xhqsv4A6ItMv/IOGzYsGw/nHL76969u2mMS5cu5TifYRiaOnWqKlasqAceeEBffPGF1q5dq6ioKMXHx1u1rdqy8w8ODpaTk5PV7QHgTuTh4aFmzZrp448/1okTJzRo0KAsbQzD0OnTpy1lHx8fhYSE2DRPvXr1TOWMK5PcEBQUlOVKd1999ZWqVq2qxo0ba/jw4VqyZEmunzXZyfx5V6ZMGZs/7+bMmWPpn5aWpri4OJtiyMvVq1c1b948S9nFxcWqVccee+wxU3nGjBl2jQsAAAAAcPsbP3689u/fbynfd999mjJlitzd3XPs4+TkpHHjxpmu+p6YmKjXXnutQGMFAMCeOD5eNI6PW8vZ2Vl+fn5q1KiRhg4dqn379ql3796W+69cuaKHHnooy/kOAAAAAABp7969atOmjWrXrq1Ro0bpjz/+UHh4uC5evKiUlJQ8+9uauFG5cuV8Rlq03XXXXVqxYoWCgoIsdVFRUfr4448LNY4pU6ZoxIgRprr//ve/GjVqVKHGkRdXRwcAx/L395eTk5MlQSAlJUXnz59X2bJlrR4jKirKVM64lJSjNGvWTI899phmzpxpqZs+fbo6duzowKgc58UXX9Qnn3xiyYZcuXKlVq9enWOGZU4uXrxo99iuXLmSbX16eroGDBhw08tmJyUlWd3Wx8fnpuYCgNvBhAkTsvxo5uLiIm9vb/n5+SkkJESurrn/C3nlyhWlp6dbyhlXDrOWv7+/qRwbG5ttu88++0xnz57VwoULTfXbt2/X9u3bNX78eDk5OalevXrq2rWr+vfvr1q1auU6d0F93vn6+tptvDlz5ph+bGvfvr0CAwPz7NezZ08NGjRICQkJkqTly5crOjpa5cqVs1tsAAAAAIDbV1pamr744gtT3bhx40wXmsrNe++9px9//NFy3ODPP//U6dOnTT/qAQDgKBwfvzWOj+eXp6enZs2apW3btunEiROSpJMnT+qzzz7LcnIPAAAAANzJFi1apF69eik5OTnfY9hy7q50e5+/6+/vr9GjR5suUDF9+nS99957hTL/Tz/9lGVVlgEDBmjy5MmFMr8tSGy5w3l6eqpSpUo6efKkpe7UqVM2JbZkvkJMaGio3eK7GT179jQltmzYsMGB0TiWp6en3n77bb3wwguWurfeekvr16+3aZyCWPoq44HdjMaOHZslqcXHx0dt27ZVo0aNFBQUJD8/P3l4eMjNzc3SZvfu3Ro6dGi+Ysk4DgDcqRo1amRz4mNmV69eNZW9vLxsHiNzn/j4+GzbeXh4aMGCBfr555/10UcfadeuXVnaGIahXbt2adeuXfrggw/UvXt3TZ48WXfddVe2Yxbm511+TZ8+3VQODQ3VypUrrepbr149bdy4UdK/JyTNmjVLr7/+ul3jAwAAAADcnvbs2aOYmBhL2d/fX/fee6/V/YOCglSvXj3t3LlT0r/f2detW2fVKqQAABQ0jo/fGsfHb0axYsX0/PPPa/jw4Za677//nsQWAAAAAPj/jhw5ot69e5uSWpycnNS0aVM1b95cVapUUWBgoDw8POTh4WHq+9hjj+ncuXP5mvd2P3/3oYce0lNPPWVZiOLMmTM6efKkgoODC3TeBQsWaMCAAabv5r169dLUqVPl5ORUoHPnB4ktUGhoqCmx5cCBA2rSpInV/TMvR1xUEluqVq1qKp89e9ZBkRQNTz/9tGVZbOnfRJ/Fixere/fuVo9RvHhxU/nll1+2qX92qlSpkqXu3LlzGj9+vKluxIgRevPNN1WiRIlcx0tLS7upeAAANy/zvjrjyiLWytzH29s7x7ZOTk7q16+f+vXrpwMHDmjFihVavXq11q1bZzrZ5obFixdrzZo1Wrx4sVq1apXl/uLFiysuLs5SXrp0aZ5X4cuLNaupWCsiIkJr16411X322Wf67LPP8jXejBkzSGwBAAAAAFglIiLCVA4JCbH5x6/KlStbElukrKvCAwBwK+P4eFb2PD5uD82bNzeVjx49qgsXLiggIMBBEQEAAABA0TF8+HDTaitNmzbVjBkzrDo3vCgmShQVfn5+KlWqlGml1LNnzxZoYsvKlSv1yCOPKDU11VLXuXNn/fTTT3JxcSmweW8GiS1Q/fr1tWzZMkt5w4YNGjBggFV9o6OjLYkS0r8ZczVr1rR3iHZxu2fz5cXd3V2jRo3SE088Yal7++231a1bN6s/TDIve12uXDl16NDBnmFK+jdD8Pr165bys88+q/fff9+qvpcuXbJ7PAAA2/j6+srZ2dmS6Z3xH3JrZf7BrWTJklb1q1mzpmrWrKkhQ4bIMAwdOnRIy5cv19y5c7Vu3TpLu/j4ePXu3VvHjh3L8kOjv7+/6Ye7hg0bqkyZMjY/hoIyY8YMS/a+Pezfv1/btm1T48aN7TYmAAAAAOD2lPEHTUn5OtE187F6LlYEALidcHy86Mvu8Zw+fZrEFgAAAAB3vKtXr2rx4sWWctmyZfXnn39a/b00Nja2oEK7LRXkee3r169XWFiY6Zh+q1atNH/+fLm7uxfYvDfL2dEBwPF69OhhKq9cudLqkyWXL19uKrdr1y7PFTUKS8ZVaKR/d7B3uscee8yUNblr1y7NnTvX6v6VK1c2lcPDw+0WW0abNm0ylQcPHmx13/3799s7HACAjZycnBQUFGQpx8XFmRJhrbF7925TOT/Z6U5OTqpRo4aGDBmitWvXas2aNaYkzfPnz+uHH37I0q+wPu/ywzAMzZw50+7jTp8+3e5jAgAAAABuP6VLlzaVz5w5Y/MYmVdo4SRSAMDthOPjRV9KSkqWuszJuwAAAABwJ9qxY4eSk5Mt5X79+lmd1BIeHs53q1zEx8dnuXB/QZ3XvmPHDnXv3l0JCQmWusaNG2vRokXy9PQskDnthcQWqHnz5qaDWMePH9fq1aut6jt16lRTOSwszJ6h3ZSFCxeaynXr1nVQJEWHi4uLxowZY6p75513rL4iXrt27Uzlv//+226xZXTu3DlTuXr16lb3LaiYAAC2uffee01lW/fPmdtnHi8/WrVqpQ8//NBUl/EqdTcU1uddfqxZs0YRERGWcuXKlWUYhs1/p06dMq3YNnv2bNMXUwAAAAAAshMSEmIqnzp1SseOHbO6f3x8vLZu3Wqqq1q1qj1CAwCgyOD4eNF26tSpLHW326o0AAAAAJAfnLtbcBYvXmxadCIgIEDlypWz+zwHDhxQ586ddeXKFUtd7dq19eeff8rHx8fu89kbiS2Qs7OznnjiCVPd6NGj81y15a+//tLatWstZW9vbz388MMFEaLNDh48qO+//95UV5SSbhypd+/eatCggaV86NChbK/Gk50KFSqodu3alvKxY8e0dOlSu8eYeduz9kTbXbt2aePGjXaPBwBguzZt2pjKtqwIcvjwYa1fv95SLlasmO655x67xNWiRQtTOSYmJkubLl26mMrffPNNtldwc4TMz+MjjzySr3GCgoJMz8WlS5eyJAUDAAAAAJDZ3XffrYoVK5rqJkyYYHX/SZMmma7aV7x4cbucrAsAQFHC8fGibdmyZaZy8eLFs/x/AwAAAAB3ovyeu2sYhr766quCCOm2cP36db377rumuh49esjZ2b5pHBEREerYsaPp+/5dd92lFStWZFmNvagisQWSpDfeeEMlSpSwlP/55x+NHz8+x/ZRUVF6+umnTXVDhgwxrfySHScnJ9NfbivDxMfHa/DgwYqMjLTuQfx/+/btU+fOnU071ODgYPXp08emcW5XTk5OGjdunKlu9OjRVh+QfP31103ll19+2ZTZZw+BgYGmcnZXC8osLS1NgwcPtmscAID869evn7y8vCzltWvX6vfff7eq72uvvWYqP/zww/L19bVLXJl/qMtuucxGjRqZrkp3+vRpvf3223aZ/2Zcu3ZNc+fONdX169cv3+P17dvXVJ4xY0a+xwIAAAAA3LpsOW4vSY899pipPGXKFM2cOTPPeRYuXJjl2HTfvn1VrFgxm2MGAKAo4/h40RUREaGpU6ea6tq3b8//IwAAAACg/J27K0lfffWVdu3aVQARFS3Dhg3LsiJ5Xi5duqQHHnhAR44csdS5uLjolVdeybVfSEiI6bh9XhfNOHPmjDp06KAzZ85Y6ipVqqS//vory+talJHYAkmSv7+/3nzzTVPdiBEjNHjwYNNGnp6ert9//13NmzfXiRMnLPXly5fPcpDtZqWlpemrr75SlSpVdP/992vmzJk6duxYtivJJCcna8OGDRo0aJAaNmyo06dPW+5zcnLS559/Lk9PT7vGdyvr1q2b6Yo8J06cML3Ouenfv79q1aplKR85ckRdu3a1ur8kpaSkaMaMGTkmTzVv3txUHjlypK5fv57jeGlpaXryySdZrQUAihA/Pz89+eSTpronn3xSe/bsybXfu+++q8WLF1vKzs7OOf4jP3LkSM2aNUupqalWxWQYhiZOnGiqa9SoUbZtx44da8qK/+ijjzRmzJg8V7TLKDIyUq+//rrNX2hy8ttvv+nq1auWco0aNVS3bt18j9enTx+5uLhYykuXLtX58+dvKkYAAAAAgH2tX79eK1euzPK3fft2U7vExMRs261cuVIHDhywa0zDhg1TqVKlLGXDMDRgwAANHDhQ+/fvz9I+PDxcL730kh588EHTd/jixYvrnXfesWtsAAAUBRwft//xcXvYvXu3unTpomvXrpnq7X2eAwAAAADcqho1aiR3d3dLed68edqwYUOufRYtWqRXX321oEMrEpYvX66mTZvqnnvu0aRJk7Rr165sFxU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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "multiplier_b = jnp.array([0.1, 0.5, 1.0])\n", + "\n", + "\n", + "ray_outlier_prob = 0.025\n", + "\n", + "mapped_evaluate = jax.vmap(\n", + " jax.vmap(\n", + " new_ray_outlier_logpdf_sub, in_axes=(None, None, 0, 0, None, None, None, None)\n", + " ),\n", + " (None, None, None, None, 0, None, None, None),\n", + ")\n", + "new_ray_outlier_logpdfs = mapped_evaluate(\n", + " gt_image,\n", + " gt_image_depth,\n", + " images[..., :3],\n", + " images[..., 3],\n", + " multiplier_b,\n", + " variance_color,\n", + " variance_depth,\n", + " ray_outlier_prob,\n", + ")\n", + "\n", + "\n", + "fig, axes = plt.subplots(1, 1, figsize=(40, 7))\n", + "distances = linear_poses.pos[:, 2]\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[0]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"0.1 ray samples per pixel\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[1]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"0.5 ray samples per pixel\",\n", + ")\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(new_ray_outlier_logpdfs[2]),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"1 ray sample per pixel\",\n", + ")\n", + "num_ticks = 3\n", + "\n", + "xticks = list(np.linspace(0.35, 3.25, num_ticks))\n", + "axes.set_xticks(\n", + " xticks\n", + " + [\n", + " linear_poses.pos[gt_near_ind, 2],\n", + " linear_poses.pos[gt_far_ind, 2],\n", + " linear_poses.pos[0, 2],\n", + " linear_poses.pos[-1, 2],\n", + " ]\n", + ")\n", + "axes.set_xticklabels(\n", + " [\"%.1f\" % f for f in xticks] + [\"Pose A\", \"Pose B\", \"Near\", \"Far\"], fontsize=30\n", + ")\n", + "axes.tick_params(axis=\"y\", labelsize=25)\n", + "axes.set_ylim(0.0, 0.1)\n", + "\n", + "title = \"Scene object posterior conditioned on two mugs\"\n", + "plt.title(title, fontsize=40)\n", + "plt.legend(fontsize=30)\n", + "# alpha value: pose = (1 - alpha) * point1 + alpha * point2\n", + "plt.xlabel(\"Distance from camera (meters)\", fontsize=30)\n", + "plt.ylabel(\"Posterior Probability\", fontsize=30)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n", + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(10, 5))\n", + "ax1 = fig.add_subplot(151)\n", + "ax1.imshow(gt_image[..., :3])\n", + "ax1.axis(\"off\")\n", + "\n", + "ax2 = fig.add_subplot(152)\n", + "ax2.imshow(images[0, ..., :3])\n", + "ax2.axis(\"off\")\n", + "\n", + "ax3 = fig.add_subplot(153)\n", + "ax3.imshow(images[gt_near_ind, ..., :3])\n", + "ax3.axis(\"off\")\n", + "\n", + "ax4 = fig.add_subplot(154)\n", + "ax4.imshow(images[gt_far_ind, ..., :3])\n", + "ax4.axis(\"off\")\n", + "\n", + "ax5 = fig.add_subplot(155)\n", + "ax5.imshow(images[-1, ..., :3])\n", + "ax5.axis(\"off\")\n", + "\n", + "ax1.title.set_text(\"Conditioned Im\")\n", + "ax2.title.set_text(\"Near Pose\")\n", + "ax3.title.set_text(\"Pose A\")\n", + "ax4.title.set_text(\"Pose B\")\n", + "ax5.title.set_text(\"Far Pose\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# does new likelihood fail size invariance test" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# HERE!!!: see if shout patch tracking scales under this model" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# view angle invariance posterior test as described with nishad" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/mug_posterior_invariance_peakiness.ipynb b/notebooks/bayes3d_paper/mug_posterior_invariance_peakiness.ipynb new file mode 100644 index 00000000..614c83b4 --- /dev/null +++ b/notebooks/bayes3d_paper/mug_posterior_invariance_peakiness.ipynb @@ -0,0 +1,1619 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Define likelihood" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Render images and set up experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vertices dimensions : [0.116984 0.09313101 0.081303 ]\n" + ] + }, + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "image_width, image_height, fx, fy, cx, cy, near, far = (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + ")\n", + "renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far)\n", + "\n", + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "vertices = jnp.array(mesh.vertices)\n", + "vertices = vertices - jnp.mean(vertices, axis=0)\n", + "faces = jnp.array(mesh.faces)\n", + "vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0])\n", + "vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0\n", + "print(\"Vertices dimensions :\", vertices.max(0) - vertices.min(0))\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0])\n", + ")\n", + "\n", + "cp_to_pose = lambda cp: Pose(\n", + " jnp.array([cp[0], cp[1], 0.0]),\n", + " b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(),\n", + ")\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_object(vertices, faces, vertex_colors)\n", + "\n", + "cps_to_test = [\n", + " jnp.array([0.0, 0.0, jnp.pi]), # Hidden\n", + " jnp.array([0.0, 0.0, -jnp.pi / 2]), # Side\n", + " jnp.array([0.0, 0.0, 0.0]), # Front\n", + " jnp.array([0.0, 0.0, +jnp.pi / 2]), # Side\n", + "]\n", + "\n", + "text_index = 0 # 1\n", + "\n", + "gt_cp = cps_to_test[text_index]\n", + "\n", + "object_pose = cp_to_pose(gt_cp)\n", + "\n", + "gt_img, gt_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "b3d.get_rgb_pil_image(gt_img)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Generate and split poses into batches" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "delta_cps = jnp.stack(\n", + " jnp.meshgrid(\n", + " jnp.linspace(-0.02, 0.02, 31),\n", + " jnp.linspace(-0.02, 0.02, 31),\n", + " jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + " ),\n", + " axis=-1,\n", + ").reshape(-1, 3)\n", + "cp_delta_poses = jax.vmap(cp_to_pose)(delta_cps)\n", + "\n", + "test_poses = object_pose @ cp_delta_poses\n", + "\n", + "test_poses_batches = test_poses.split(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "class PixelOutlier:\n", + " @staticmethod\n", + " def get_rgb_depth_inliers_from_observed_rendered_args(\n", + " observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args\n", + " ):\n", + " observed_lab = b3d.colors.rgb_to_lab(observed_rgb)\n", + " rendered_lab = b3d.colors.rgb_to_lab(rendered_rgb)\n", + " error = jnp.linalg.norm(\n", + " observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1\n", + " ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0])\n", + "\n", + " valid_data_mask = rendered_rgb.sum(-1) != 0.0\n", + "\n", + " color_inliers = (error < model_args.color_tolerance) * valid_data_mask\n", + " depth_inliers = (\n", + " jnp.abs(observed_depth - rendered_depth) < model_args.depth_tolerance\n", + " ) * valid_data_mask\n", + " inliers = color_inliers * depth_inliers\n", + " outliers = jnp.logical_not(inliers) * valid_data_mask\n", + " undecided = jnp.logical_not(inliers) * jnp.logical_not(outliers)\n", + " return (\n", + " inliers,\n", + " color_inliers,\n", + " depth_inliers,\n", + " outliers,\n", + " undecided,\n", + " valid_data_mask,\n", + " )\n", + "\n", + " @staticmethod\n", + " def logpdf(\n", + " observed_rgb,\n", + " observed_depth,\n", + " rendered_rgb,\n", + " rendered_depth,\n", + " fx,\n", + " fy,\n", + " height,\n", + " width,\n", + " near,\n", + " far,\n", + " model_args,\n", + " ):\n", + " inliers, color_inliers, depth_inliers, outliers, undecided, valid_data_mask = (\n", + " PixelOutlier.get_rgb_depth_inliers_from_observed_rendered_args(\n", + " observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args\n", + " )\n", + " )\n", + "\n", + " inlier_weight = model_args.inlier_score\n", + " outlier_prob = model_args.outlier_prob\n", + " multiplier = model_args.color_multiplier\n", + "\n", + " corrected_depth = rendered_depth + (rendered_depth == 0.0) * far\n", + " areas = (corrected_depth / fx) * (corrected_depth / fy)\n", + "\n", + " inlier_score = inlier_weight * inliers * areas\n", + " undecided_score = 1.0 * undecided * areas\n", + " outlier_score = outlier_prob * outliers * areas\n", + "\n", + " final_log_score = (\n", + " jnp.log(\n", + " # This is leaving out a 1/A (which does depend upon the scene)\n", + " jnp.sum(inlier_score + undecided_score + outlier_score)\n", + " )\n", + " * multiplier\n", + " )\n", + "\n", + " return {\n", + " \"log_score\": final_log_score,\n", + " \"inlier_score\": inlier_score,\n", + " \"undecided_score\": undecided_score,\n", + " \"outlier_score\": outlier_score,\n", + " }\n", + "\n", + "\n", + "pixel_outlier_logpdfs = jax.vmap(\n", + " PixelOutlier.logpdf, (None, None, 0, 0, None, None, None, None, None, None, None)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "class RayOutlier:\n", + " @staticmethod\n", + " def get_rgb_depth_inliers_from_observed_rendered_args(\n", + " observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args\n", + " ):\n", + " observed_lab = b3d.colors.rgb_to_lab(observed_rgb)\n", + " rendered_lab = b3d.colors.rgb_to_lab(rendered_rgb)\n", + " error = jnp.linalg.norm(\n", + " observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1\n", + " ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0])\n", + "\n", + " valid_data_mask = rendered_rgb.sum(-1) != 0.0\n", + "\n", + " color_inliers = (error < model_args.color_tolerance) * valid_data_mask\n", + " depth_inliers = (\n", + " jnp.abs(observed_depth - rendered_depth) < model_args.depth_tolerance\n", + " ) * valid_data_mask\n", + " inliers = color_inliers * depth_inliers\n", + " outliers = jnp.logical_not(inliers)\n", + " teleport_outliers = (\n", + " outliers * (observed_depth > rendered_depth) * (rendered_depth > 0.0)\n", + " )\n", + " nonteleport_outliers = outliers * jnp.logical_not(\n", + " (observed_depth > rendered_depth) * (rendered_depth > 0.0)\n", + " )\n", + " return (\n", + " inliers,\n", + " color_inliers,\n", + " depth_inliers,\n", + " teleport_outliers,\n", + " nonteleport_outliers,\n", + " valid_data_mask,\n", + " )\n", + "\n", + " @staticmethod\n", + " def logpdf(\n", + " observed_rgb,\n", + " observed_depth,\n", + " rendered_rgb,\n", + " rendered_depth,\n", + " fx,\n", + " fy,\n", + " height,\n", + " width,\n", + " near,\n", + " far,\n", + " model_args,\n", + " ):\n", + " (\n", + " inliers,\n", + " color_inliers,\n", + " depth_inliers,\n", + " teleport_outliers,\n", + " nonteleport_outliers,\n", + " valid_data_mask,\n", + " ) = RayOutlier.get_rgb_depth_inliers_from_observed_rendered_args(\n", + " observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args\n", + " )\n", + "\n", + " observed_depth_corrected = observed_depth + (observed_depth == 0.0) * far\n", + "\n", + " rendered_areas = (rendered_depth / fx) * (rendered_depth / fy)\n", + " observed_areas = (observed_depth_corrected / fx) * (\n", + " observed_depth_corrected / fy\n", + " )\n", + "\n", + " A = 5\n", + " V = 0.025\n", + " inlier_contribution = (\n", + " model_args.inlier_score\n", + " * inliers\n", + " * rendered_areas\n", + " * (1 - model_args.outlier_prob)\n", + " / A\n", + " )\n", + "\n", + " teleport_factor = 0.00001\n", + " # V = 1/3 * jnp.power(far, 3) * width * height * 1/(fx * fy)\n", + " outlier_contribution_teleporation = (\n", + " teleport_outliers\n", + " * observed_areas\n", + " / V\n", + " * teleport_factor\n", + " * model_args.outlier_prob\n", + " )\n", + " outlier_contribution_not_teleportation = (\n", + " nonteleport_outliers * observed_areas / V * model_args.outlier_prob\n", + " )\n", + "\n", + " final_log_score = (\n", + " jnp.log(\n", + " jnp.sum(\n", + " inlier_contribution\n", + " + outlier_contribution_teleporation\n", + " + outlier_contribution_not_teleportation\n", + " )\n", + " )\n", + " * model_args.color_multiplier\n", + " )\n", + " return {\n", + " \"log_score\": final_log_score,\n", + " \"inlier_score\": inlier_contribution,\n", + " \"outlier_teleport_score\": outlier_contribution_teleporation,\n", + " \"outlier_no_teleport_score\": outlier_contribution_not_teleportation,\n", + " }\n", + "\n", + "\n", + "ray_outlier_logpdfs = jax.vmap(\n", + " RayOutlier.logpdf, (None, None, 0, 0, None, None, None, None, None, None, None)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Pixel outlier experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "scores = []\n", + "inlier_scores = []\n", + "undecided_scores = []\n", + "outlier_scores = []\n", + "\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + "\n", + " color_error, depth_error = (60.0, 0.01)\n", + " inlier_score, outlier_prob = (5.0, 0.00001)\n", + " color_multiplier, depth_multiplier = (10000.0, 500.0)\n", + " model_args = b3d.bayes3d.ModelArgs(\n", + " color_error,\n", + " depth_error,\n", + " inlier_score,\n", + " outlier_prob,\n", + " color_multiplier,\n", + " depth_multiplier,\n", + " )\n", + "\n", + " # 1.0 far plane is fixed, value is used for 'unexplained' pixels\n", + " scores_dict = pixel_outlier_logpdfs(\n", + " gt_img,\n", + " gt_depth,\n", + " rgb_ims,\n", + " depth_ims,\n", + " renderer.fx,\n", + " renderer.fy,\n", + " renderer.height,\n", + " renderer.width,\n", + " renderer.near,\n", + " 1.0,\n", + " model_args,\n", + " )\n", + " scores_batch = scores_dict[\"log_score\"]\n", + " scores.append(scores_batch)\n", + " inlier_scores.append(scores_dict[\"inlier_score\"])\n", + " undecided_scores.append(scores_dict[\"undecided_score\"])\n", + " outlier_scores.append(scores_dict[\"outlier_score\"])\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "inlier_scores = jnp.concatenate(inlier_scores)\n", + "undecided_scores = jnp.concatenate(undecided_scores)\n", + "outlier_scores = jnp.concatenate(outlier_scores)\n", + "samples = jax.random.categorical(key, scores, shape=(50,))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'pdf value')" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(7, 3))\n", + "plt.plot(b3d.normalize_log_scores(scores))\n", + "plt.scatter(\n", + " jnp.argsort(scores)[::-1][:10],\n", + " b3d.normalize_log_scores(scores)[jnp.argsort(scores)[::-1][:10]],\n", + " color=\"r\",\n", + ")\n", + "plt.title(\"enumerated grid and pdfs\")\n", + "plt.xlabel(\"grid sample\")\n", + "plt.ylabel(\"pdf value\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GT Contact Parameter : [0. 0. 3.1415927]\n", + "Sampled Angle Range: 77.14286\n" + ] + } + ], + "source": [ + "rr.log(\"observed_depth_no_background\", rr.DepthImage(gt_depth))\n", + "gt_depth = jnp.where(gt_depth == 0.0, jnp.ones(gt_depth.shape) * renderer.far, gt_depth)\n", + "\n", + "\n", + "samples = jax.random.categorical(key, scores, shape=(50,))\n", + "print(\"GT Contact Parameter :\", gt_cp)\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "\n", + "print(\"Sampled Angle Range:\", samples_deg_range)\n", + "pix_scores = scores" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "alternate_camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.01, 0.000, 0.9]), object_pose.pos\n", + ")\n", + "alternate_view_images, _ = renderer.render_attribute_many(\n", + " (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "original_view_images, _ = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "for t in range(len(alternate_view_images)):\n", + " rr.set_time_sequence(\"time\", t)\n", + " rr.log(f\"alternate_view\", rr.Image(alternate_view_images[t]))\n", + " rr.log(f\"original_view\", rr.Image(original_view_images[t]))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# plt.plot(b3d.normalize_log_scores(scores))\n", + "# plt.scatter(jnp.argsort(scores)[::-1][:10], b3d.normalize_log_scores(scores)[jnp.argsort(scores)[::-1][:10]], color='r')\n", + "# plt.title('enumerated grid and pdfs')\n", + "# plt.xlabel('grid sample')\n", + "# plt.ylabel('pdf value')\n", + "\n", + "# plt.figure()\n", + "# plt.plot(scores)\n", + "# plt.scatter(jnp.argsort(scores)[::-1][:10], scores[jnp.argsort(scores)[::-1][:10]], color='r')\n", + "# plt.title('enumerated grid and logpdfs')\n", + "# plt.xlabel('grid sample')\n", + "# plt.ylabel('log pdf value')\n", + "\n", + "# plt.figure()\n", + "# plt.plot(inlier_scores, label='inlier score')\n", + "# plt.plot(undecided_scores, label='undecided score')\n", + "# plt.plot(outlier_scores, label='outlier score')\n", + "# plt.title('score contribution breakdown')\n", + "# plt.xlabel('grid_point')\n", + "# plt.ylabel('score (logprob)')\n", + "# plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "rgb_im_argmax, depth_im_argmax = renderer.render_attribute(\n", + " (camera_pose.inv() @ test_poses[jnp.argmax(samples)])[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "inliers, _, _, outliers, undecided, _ = (\n", + " PixelOutlier.get_rgb_depth_inliers_from_observed_rendered_args(\n", + " gt_img, rgb_im_argmax, gt_depth, depth_im_argmax, model_args\n", + " )\n", + ")\n", + "\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "fig.suptitle(\"Masks (inlier, outlier, undecided)\")\n", + "ax1.imshow(inliers)\n", + "ax2.imshow(outliers)\n", + "ax3.imshow(undecided)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-13394.878\n" + ] + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# figure!\n", + "\n", + "print(jnp.max(scores))\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "ax1.imshow(inlier_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax1.axis(\"off\")\n", + "ax1.set_title(\"inlier\")\n", + "ax2.imshow(undecided_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax2.axis(\"off\")\n", + "ax2.set_title(\"undecided\")\n", + "ax3.imshow(outlier_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax3.axis(\"off\")\n", + "ax3.set_title(\"outlier\")\n", + "# plt.suptitle('Scores - Ray Likelihood MAP pose')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Save drawn pixel outlier model samples" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "b3d.make_gif_from_pil_images(\n", + " [\n", + " b3d.overlay_image(\n", + " Image.fromarray(np.array(original_view_image * 255).astype(np.uint8)),\n", + " Image.fromarray(np.array(gt_img * 255).astype(np.uint8)),\n", + " )\n", + " for original_view_image in original_view_images\n", + " ],\n", + " \"pixel_outlier_samples.gif\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ray outlier experiment" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "scores = []\n", + "inlier_scores = []\n", + "outlier_tele_scores = []\n", + "outlier_no_tele_scores = []\n", + "\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + "\n", + " color_error, depth_error = (100.0, 0.005)\n", + " # inlier_score, outlier_prob = (5.0, 0.00001)\n", + " inlier_score, outlier_prob = (25.0, 0.01)\n", + " color_multiplier, depth_multiplier = (10000.0, 500.0)\n", + " model_args = b3d.bayes3d.ModelArgs(\n", + " color_error,\n", + " depth_error,\n", + " inlier_score,\n", + " outlier_prob,\n", + " color_multiplier,\n", + " depth_multiplier,\n", + " )\n", + "\n", + " scores_dict = ray_outlier_logpdfs(\n", + " gt_img,\n", + " gt_depth,\n", + " rgb_ims,\n", + " depth_ims,\n", + " renderer.fx,\n", + " renderer.fy,\n", + " renderer.height,\n", + " renderer.width,\n", + " renderer.near,\n", + " renderer.far,\n", + " model_args,\n", + " )\n", + " scores_batch = scores_dict[\"log_score\"]\n", + " scores.append(scores_batch)\n", + " inlier_scores.append(scores_dict[\"inlier_score\"])\n", + " outlier_tele_scores.append(scores_dict[\"outlier_teleport_score\"])\n", + " outlier_no_tele_scores.append(scores_dict[\"outlier_no_teleport_score\"])\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "inlier_scores = jnp.concatenate(inlier_scores)\n", + "outlier_tele_scores = jnp.concatenate(outlier_tele_scores)\n", + "outlier_no_tele_scores = jnp.concatenate(outlier_no_tele_scores)\n", + "# scores = jnp.log(b3d.normalize_log_scores(scores))\n", + "samples = jax.random.categorical(key, scores, shape=(50,))" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[21919.613 21930.371 21948.197 ... 22073.186 22056.557 22051.182]\n" + ] + } + ], + "source": [ + "print(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], + "source": [ + "from b3d.bayes3d.image_likelihoods import kray_likelihood_intermediate_vec\n", + "\n", + "scores = []\n", + "inlier_scores = []\n", + "outlier_tele_scores = []\n", + "outlier_no_tele_scores = []\n", + "\n", + "gt_img = jnp.concatenate((gt_img, gt_depth[..., None]), axis=2)\n", + "\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + "\n", + " rendered_imgs = jnp.concatenate((rgb_ims, depth_ims[..., None]), axis=3)\n", + "\n", + " likelihood_args = {\n", + " \"color_tolerance\": 100.0, # 100\n", + " \"depth_tolerance\": 0.005, # 0.005\n", + " \"inlier_score\": 25.0,\n", + " \"outlier_prob\": 0.01,\n", + " \"multiplier\": 10000.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + " }\n", + "\n", + " scores_dict = kray_likelihood_intermediate_vec(\n", + " gt_img, rendered_imgs, likelihood_args\n", + " )\n", + " scores_batch = scores_dict[0]\n", + " scores.append(scores_batch)\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(50,))" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[21919.613 21930.371 21948.197 ... 22073.186 22056.557 22051.182]\n" + ] + } + ], + "source": [ + "print(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "# setup is wrong!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], + "source": [ + "rr.log(\"observed_depth_no_background\", rr.DepthImage(gt_depth))\n", + "gt_depth = jnp.where(gt_depth == 0.0, jnp.ones(gt_depth.shape) * renderer.far, gt_depth)" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GT Contact Parameter : [0. 0. 3.1415927]\n", + "Sampled Angle Range: 66.85715\n", + "Pose(position=Array([0.00133333, 0. , 0. ], dtype=float32), quaternion=Array([0., 0., 0., 1.], dtype=float32))\n" + ] + } + ], + "source": [ + "print(\"GT Contact Parameter :\", gt_cp)\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "\n", + "print(\"Sampled Angle Range:\", samples_deg_range)\n", + "\n", + "alternate_camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.01, 0.000, 0.9]), object_pose.pos\n", + ")\n", + "alternate_view_images, _ = renderer.render_attribute_many(\n", + " (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "\n", + "# print(samples_deg_range, sampled_degree_range_bounds[text_index][0], sampled_degree_range_bounds[text_index][1])\n", + "print(cp_delta_poses[jnp.argmax(scores)])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Ray-score experiments" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "22225.041\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "print(jnp.max(scores))\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "ax1.imshow(inlier_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax1.axis(\"off\")\n", + "ax1.set_title(\"inlier\")\n", + "ax2.imshow(outlier_tele_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax2.axis(\"off\")\n", + "ax2.set_title(\"outlier\\n(transmitted)\")\n", + "ax3.imshow(outlier_no_tele_scores[jnp.argmax(scores)], cmap=\"Reds\")\n", + "ax3.axis(\"off\")\n", + "ax3.set_title(\"outlier\\n(non-transmitted)\")\n", + "# plt.suptitle('Scores - Ray Likelihood MAP pose')\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GT score: 22224.955\n" + ] + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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2bdKhQ4c0YsQIj3OC+vTpoxYtWlhel5Lv+/uAAQPKHdkpqYsff/zRL30LyOnaHTt21L/+9S8VFhZq69atWrx4sWbOnKmbbrpJn3/+uVq1aqWvv/5adrtdrVq1Knc5Jfd4+M1vfuPR7nA41KRJE497QEhS/fr1Sw1v7tmzRzt27Ch3g5ecBHvzzTfrr3/9q/70pz9p7Nix6tmzp/r376+bbrrpnCeK/e9//1NhYaH774iICMXExJQ5bVRUlCTp2LFjHu2XXHKJPvzwQ0mnh8G9HZr2VrNmzUq1NW/eXG+++aak8rezdHrIetmyZe4TtKZNm6ZBgwYpOTlZqampuu666/THP/7R/QGwZ88eSac/fMuTl5d33nBhjPHuxen0B9OZSpZ95MgRr5dx+PBh5ebmau7cuZo7d26Z05x9wnTjxo29Xr4vvK3Z8ub973//6/W8/qyNEhe6XXzd7ytboGqjQYMGpe7zUKtWLf33v/91/71v3z41a9as1GdUy5Yt3c+f6UL2lT179igvL0/x8fFlPn++uvSlpsuryxMnTujw4cOSTh9yKK8uXS6X9u/fr9atW7vbK6suJalFixZas2bNBS2/Inzd38+1DUo+c8+uuYoK6LViDodDHTt2VMeOHdW8eXMNGTJEixYt0oQJEyplfWX90nC5XGrbtq2eeuqpMudJTk52z/vJJ59o1apV+ve//60PPvhACxcuVI8ePbR8+fJyE3P//v09fl0MGjRI8+fPL3PaFi1aSJK2b9+uvn37utsjIyOVnp4uSQEpYF8MHDhQXbt21eLFi7V8+XJNnz5dU6dO1b/+9S/17t3bPaoxffr0ci9pPHvk50x16tSR5FtwKO+98SXAlPT79ttvLzc4nX0stjJGPUr64k3NljfvNddcozFjxpT5fPPmzf3Sx3OprO1SlvI+KIuLi/12XlWgasMfde3PZbpcLsXHx+v1118v8/lznStxITXtL1bXZVnbtLi42K/r8XV/P9c2KPnMLTn35UJVmQvVL7/8ckmnh3ElqWnTpnK5XPryyy/L/ZIqucHUrl27PIbWCgsLtXfvXvcX9rk0bdpUW7duVc+ePc+b6Ox2u3r27KmePXvqqaee0hNPPKGHHnpIq1atKnddM2bM8PiiTEpKKnf5Xbt2VUxMjN544w2NGzfOskvvSkYjzrR79273iYJnbuez7dy5U3Xr1vX4ZVuvXj2NGDFCI0aM0KFDh9ShQwc9/vjj6t27t/sa8ejoaK/en7OVBLS9e/f6PO+FiIuLU1RUlIqLiyvU74oorx59qdmy5j127JjXr8HftVEeX16HL/t9rVq1yrxB1L59+zzmvZBfc4GoDW81bNhQ//3vf+VyuTw+T3bu3Ol+3lfnqssVK1aoc+fOPn+R+1rT5dVljRo13CGnRo0a5dal3W73KtBUtC5LDheV2LVrl8e2rlWrVpmHss4eibrQUQZf9/dz2bt3r+x2u99+oFh+zseqVavKTHwlx4ZLhqz69esnu92uyZMnlzoHoGT+9PR0ORwOPfPMMx7L/Nvf/qa8vDz16dPnvP0ZOHCgDhw4oJdeeqnUcz///LOOHz8u6fThk7OVhKKCgoJyl5+amqr09HT341yHkWrUqKExY8Zo+/btGjt2bJnb6UJ+1ZTn7bff1oEDB9x/b9iwQevXr3efMV+vXj21b99eL7/8sscH+fbt27V8+XJdd911kk6n9ry8PI9lx8fHKykpyb2NUlNT1bRpU/3lL38pdXhJknvItDz169dXcnKyNm3aVKHXWlEhISEaMGCA/vnPf5Z5m+Hz9bsiatasWWp7St7XbFkGDhyorKwsLVu2rNRzubm5Kioq8mjzV22cT0lA8eZOkr7s902bNtW6des8Dn2+++672r9/f4XXf7ZA1Ia3rrvuOmVnZ2vhwoXutqKiIj377LOKjIxUt27dfF5medtq4MCBKi4u1qOPPlpqnqKionNuW19rOisry+M8mv3792vJkiXq1auXQkJCFBISol69emnJkiUed3jOycnRggUL1KVLF6+u2PClLi6//HLFx8drzpw5Ht8J77//vnbs2FGqLnfu3OlRG1u3bi119WTJfagqeodVX/f3c9m8ebNat25d7mkDvrJ85GPkyJE6ceKEbrzxRrVo0UKFhYVau3atFi5cqEaNGrlPCL3kkkv00EMP6dFHH1XXrl3Vv39/OZ1Obdy4UUlJSZoyZYri4uI0btw4TZo0Sddee61uuOEG7dq1S88//7w6duzo1c22/u///k9vvvmm7r77bq1atUqdO3dWcXGxdu7cqTfffFPLli3T5ZdfrsmTJ+uTTz5Rnz591LBhQx06dEjPP/+8GjRooC5duvht+4wdO1Y7duzQ9OnTtXz5cg0YMEANGjTQkSNHtGXLFi1atEjx8fF+vcnRJZdcoi5dumj48OEqKCjQrFmzVKdOHY+huunTp6t3795KS0vT0KFD3ZdTxsTEuO90ePToUTVo0EA33XSTLr30UkVGRmrFihXauHGjZsyYIen06NFf//pX9e7dW61bt9aQIUNUv359HThwQKtWrVJ0dLSWLl16zv727dtXixcvljHGb8cfvfHkk09q1apV6tSpk+688061atVK//vf/7RlyxatWLGizIBalpJRg/Pd9j41NVULFy7U6NGj1bFjR0VGRur666/3umbL8uCDD+qdd97R7373Ow0ePFipqak6fvy4tm3bprfeekvffvutx7Cqv2rjfEpOHrz33nuVkZGhkJAQ3XLLLWVO68t+/6c//UlvvfWWrr32Wg0cOFBff/21XnvttVJ3aWzatKliY2M1Z84cRUVFqWbNmurUqZPX5wFYXRveGjZsmF588UUNHjxYmzdvVqNGjfTWW2/p008/1axZs9znmfmivPeqW7duuuuuuzRlyhR9/vnn6tWrl8LCwrRnzx4tWrRITz/9tG666aYyl+lrTbdp00YZGRkel9pKct8NVJIee+wxffjhh+rSpYtGjBih0NBQvfjiiyooKNC0adN8eq0PPfSQbrnlFoWFhen6668vczQvLCxMU6dO1ZAhQ9StWzfdeuut7kttGzVqpFGjRrmnveOOO/TUU08pIyNDQ4cO1aFDhzRnzhy1bt3a40TYiIgItWrVSgsXLlTz5s1Vu3ZttWnT5ry3qSjh6/5enlOnTmn16tUaMWKEV+v1il+umfHB+++/b+644w7TokULExkZaRwOh7nkkkvMyJEjTU5OTqnp//73v5vLLrvMOJ1OU6tWLdOtWzfz4Ycfekzz3HPPmRYtWpiwsDCTkJBghg8fXu5NxspSWFhopk6dalq3bu1eT2pqqpk0aZLJy8szxpy+iVLfvn1NUlKScTgcJikpydx6662lLmHyl8WLF5vrrrvOxMXFmdDQUBMbG2u6dOlipk+fbnJzc8uc50JuMjZjxgyTnJxsnE6n6dq1q9m6dWup6VesWGE6d+5sIiIiTHR0tLn++us9biRVUFBgHnzwQXPppZe6b+pz6aWXmueff77Usj777DPTv39/U6dOHeN0Ok3Dhg3NwIEDzcqVK8/b7y1bthhJpS7LK+9S20WLFpX5us+8rNLbG0nl5OSYzMxMk5ycbMLCwkxiYqLp2bOnmTt37nnXW6Ju3brmyiuvPO/rPHbsmPnDH/5gYmNjS91kzJuaNabsS02PHj1qxo0bZy655BLjcDhM3bp1zVVXXWX+8pe/uC9593dtGPPrpYFlXa5eVFRkRo4caeLi4ozNZvPqsltv9ntjjJkxY4b7BnOdO3c2mzZtKvNSxyVLlphWrVqZ0NDQCt1kzMraKO/zrKy+5uTkmCFDhpi6desah8Nh2rZtW+qS4jPf77Od/VrP917NnTvXpKammoiICBMVFWXatm1rxowZYw4ePOjR/7O3v7c1rTNuMtasWTPjdDrNZZddZlatWlWq71u2bDEZGRkmMjLS1KhRw/z2t781a9eu9Zim5FLbjRs3lprfmNOXq9avX9/Y7XavLrtduHCh+zurdu3aZd5kzBhjXnvtNffN3Nq3b2+WLVtW5vu3du1ak5qaahwOR4VuMubr/l6W999/30gqdXPGC2EzphLG8REUvv32WzVu3FjTp0/XAw88EOju+KRnz55KSkry+5U/le3LL79U69at9e6773p1WDBQgrk2glWw1Eag2Ww2ZWZm6rnnngt0Vy4a/fr1k81m0+LFi/22TP4xAQSlJ554QgsXLrT8ssoLtWrVKqWlpfHlglKoDVRFO3bs0LvvvlvmuTwXgvCBoNSpUycVFhZW6Gz9QMrMzCz1r/ECErWBqqlly5YqKiry+jwTbxE+AACApTjnAwAAWIqRDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGCpSgsfs2fPVqNGjRQeHq5OnTppw4YNlbUqwK+oXQQrahfBolLCx8KFCzV69GhNmDBBW7Zs0aWXXqqMjAwdOnSoMlYH+A21i2BF7SKY2Iwxxt8L7dSpkzp27KjnnntOkuRyuZScnKyRI0dq7Nix55zX5XLp4MGDioqKks1m83fXcJEwxujo0aNKSkqS3e59xqZ2EWjULoKVL7Ub6u+VFxYWavPmzRo3bpy7zW63Kz09XVlZWaWmLygoUEFBgfvvAwcOqFWrVv7uFi5S+/fvV4MGDbyaltpFVULtIlh5U7t+Dx8//vijiouLlZCQ4NGekJCgnTt3lpp+ypQpmjRpUqn2LrpOoQrzd/dwkSjSKa3Re4qKivJ6HmoXVUEga3fflkaKjuQ6BFRM/jGXGnb41qva9Xv48NW4ceM0evRo99/5+flKTk5WqMIUauMDHBX0y8HEyhxCpnZRKQJYu9GRdkVHET5wYbypXb+Hj7p16yokJEQ5OTke7Tk5OUpMTCw1vdPplNPp9Hc3AJ9RuwhW1C6Cjd8jrsPhUGpqqlauXOluc7lcWrlypdLS0vy9OsBvqF0EK2oXwaZSDruMHj1agwYN0uWXX64rrrhCs2bN0vHjxzVkyJDKWB3gN9QughW1i2BSKeHj5ptv1uHDhzV+/HhlZ2erffv2+uCDD0qdDAVUNdQughW1i2BSKff5uBD5+fmKiYlRd/XlpD1UWJE5pY+1RHl5eYqOjrZkndQu/CGQtXtkdxNOOEWF5R91qVbzb7yqXaoMAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKUIHwAAwFKEDwAAYCnCBwAAsBThAwAAWIrwAQAALOVT+JgyZYo6duyoqKgoxcfHq1+/ftq1a5fHNCdPnlRmZqbq1KmjyMhIDRgwQDk5OX7tNOArahfBitpFdeRT+Fi9erUyMzO1bt06ffjhhzp16pR69eql48ePu6cZNWqUli5dqkWLFmn16tU6ePCg+vfv7/eOA76gdhGsqF1URzZjjKnozIcPH1Z8fLxWr16tq6++Wnl5eYqLi9OCBQt00003SZJ27typli1bKisrS1deeeV5l5mfn6+YmBh1V1+F2sIq2jVc5IrMKX2sJcrLy1N0dHSp56ldVFWBrN0ju5soOoqj8aiY/KMu1Wr+Tbm1e6YLqrK8vDxJUu3atSVJmzdv1qlTp5Senu6epkWLFkpJSVFWVlaZyygoKFB+fr7HA6hs1C6CFbWL6qDC4cPlcun+++9X586d1aZNG0lSdna2HA6HYmNjPaZNSEhQdnZ2mcuZMmWKYmJi3I/k5OSKdgnwCrWLYEXtorqocPjIzMzU9u3b9cYbb1xQB8aNG6e8vDz3Y//+/Re0POB8qF0EK2oX1UVoRWa655579O677+qTTz5RgwYN3O2JiYkqLCxUbm6uRwrPyclRYmJimctyOp1yOp0V6QbgM2oXwYraRXXi08iHMUb33HOPFi9erI8++kiNGzf2eD41NVVhYWFauXKlu23Xrl367rvvlJaW5p8eAxVA7SJYUbuojnwa+cjMzNSCBQu0ZMkSRUVFuY8nxsTEKCIiQjExMRo6dKhGjx6t2rVrKzo6WiNHjlRaWppXZ1wDlYXaRbCidlEd+RQ+XnjhBUlS9+7dPdrnzZunwYMHS5Jmzpwpu92uAQMGqKCgQBkZGXr++ef90lmgoqhdBCtqF9XRBd3nozJwrwT4w/nulVAZqF34QyBrl/t84EJYdp8PAAAAXxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALBUaKA7UN3ZwhyS3fZrg6tK/SPCpfpmThUGri8A4AcnXIVyyRXobnjFLrtq2B2B7oblCB+VyBbmUO2Pa+qK2L06UezUKROiUyZELmNz/1eSimWXy9jkMqcHolz6pd38GgxCbOcOLXYZuWRzz1MyvV1GdtvpndBuMwqRS3abkd1mFGYrVojNJaetSOH2U1p7pImO/TZXpqjIvxsCACxywlWoPn/KVMS+3EB3xSsnGsfqvbmzL7oAQvioTHabetX5Quk1vtEJY9MJV6gKZZfL2HXShKn4l5BxyoSqWDYVu8PH6f+W/O2tEJvLPU+IzSX7L8k/xOZSiIzscrn/P8xWpDBbsRxyqYa9SDVsRh0ivtXd4+9SoyX5Mpu/8NdWAADLuORSxL5cFe/YE+iueKVmbqJav5+ph7ss1dCY7EB3xzKc81HJcotr6JSRomxGUfZTqmkrUritSDXsBappK1SYrVjhtlPuh8NW/Esw+PURYnN59bDLpTBbkcLthQqzFclx1rJr/rLO0+s+3Zca9iLF/lIFDUPz9e9B0/Vj++jAbjQAuADFMRGy16gR6G6cl71GDZnCQrUc+7X+vu+qQHfHUox8VCJTUKDl3Zvp+f/XWxtvf0oni4t/OQxipF+OooTI5R7psJLdZmSX+WVExKaeLz+oS2Z/I0mqe2SLqtiZKQDglUh7uJ5d+IKufWe0mo1cH+junNPOGW30bu+nJUkNQ22SwgPbIQtd0Lfek08+KZvNpvvvv9/ddvLkSWVmZqpOnTqKjIzUgAEDlJOTc6H9DFrFhw8r5Gfb+Se0QPE53u7QEzYVZeeoKDtHpqDAwl4FBrWLYEXtnl/zsJoyEcWB7sZ52SKK1doRodaOCEXaL57gIV1A+Ni4caNefPFFtWvXzqN91KhRWrp0qRYtWqTVq1fr4MGD6t+//wV3tLo6VyBA5aB2EayoXVQXFfrmO3bsmG677Ta99NJLqlWrlrs9Ly9Pf/vb3/TUU0+pR48eSk1N1bx587R27VqtW7fOb50GKoraRbCidlGdVCh8ZGZmqk+fPkpPT/do37x5s06dOuXR3qJFC6WkpCgrK6vMZRUUFCg/P9/jUR2FqGocernYUbsIVtQuqhOfTzh94403tGXLFm3cuLHUc9nZ2XI4HIqNjfVoT0hIUHZ22ZcQTZkyRZMmTfK1G4DPqF0EK2oX1Y1PIx/79+/Xfffdp9dff13h4f45OWbcuHHKy8tzP/bv3++X5QJnonYRrKhdVEc+hY/Nmzfr0KFD6tChg0JDQxUaGqrVq1frmWeeUWhoqBISElRYWKjc3FyP+XJycpSYmFjmMp1Op6Kjoz0eqDzFF+nhH2oXwYraRXXk02GXnj17atu2bR5tQ4YMUYsWLfTnP/9ZycnJCgsL08qVKzVgwABJ0q5du/Tdd98pLS3Nf70GfETtIlhRu6iOfAofUVFRatOmjUdbzZo1VadOHXf70KFDNXr0aNWuXVvR0dEaOXKk0tLSdOWVV/qv14CPqF0EK2oX1ZHf73A6c+ZM2e12DRgwQAUFBcrIyNDzzz/v79UAfkftIlhRuwg2Fxw+Pv74Y4+/w8PDNXv2bM2ePftCFw1UKmoXwYraRbDj9poAAMBShA8AAGApwgcAALAU4QPc+h0AYCnCBwAAsBThA6cx+AEAsAjhAwAAWIrwcZEJkfH42y6pWEZnNQMAUGkIHxYLsXl+y4fIFaCeAAAQGIQPC4VU0fMqQmTjnA8AgGUIH1awSXY2NQAAkggfAXP2uRfnYvfi0Iw30wAAUBUQPiwSYuO4BgAAEuGjSioZFQmxMZoBAKh+CB8WqQrnfHBlDQCgKgj8N+JFyJfzPSxTBbsEAKieCB8WcXkx6uDPwyw+BxxOSQEAWITwUcWUd9WKt1ezcJ4IAKCqI3wAAABL+Rw+Dhw4oNtvv1116tRRRESE2rZtq02bNrmfN8Zo/PjxqlevniIiIpSenq49e/b4tdNARVC7CFbULqobn8LHkSNH1LlzZ4WFhen999/Xl19+qRkzZqhWrVruaaZNm6ZnnnlGc+bM0fr161WzZk1lZGTo5MmTfu98sClvY9s5VFLpqF0EK2oX1VGoLxNPnTpVycnJmjdvnrutcePG7v83xmjWrFl6+OGH1bdvX0nSK6+8ooSEBL399tu65ZZb/NTt4FMVLrUtj/0iuAEatYtgRe2iOvLpG/Gdd97R5Zdfrt///veKj4/XZZddppdeesn9/N69e5Wdna309HR3W0xMjDp16qSsrKwyl1lQUKD8/HyPR3VjK5Z+LP5ZLpV/FUplXH7LLdd/Re0iWFG7FWMLNbLXrBnobqAcPoWPb775Ri+88IKaNWumZcuWafjw4br33nv18ssvS5Kys7MlSQkJCR7zJSQkuJ8725QpUxQTE+N+JCcnV+R1VGmNnt6uO373J+05FePRbre5/BJGzhUyyrr6JUTm9MNmFGKTwhQiU80HP6hdBCtqt2I+7fG0bt+yUyFxcYHuCsrgU/hwuVzq0KGDnnjiCV122WUaNmyY7rzzTs2ZM6fCHRg3bpzy8vLcj/3791d4WVVVcX6+bAcOSZLCbFLYL6HDm4BxZniwy+URNM7+u2Tas5cbIuMOOmeeXxIio8PFDrV+5x4lbCqs2IsLEtQughW1WzH1QiN1Vfg+2UKq3iFve1SUvn08TTe03RrorgSMT+d81KtXT61atfJoa9mypf75z39KkhITEyVJOTk5qlevnnuanJwctW/fvsxlOp1OOZ1OX7oRnFxGOwuSdNKE6aTLoeMuh1yyq9CEymVsSnb8pJq2Qsnmkozkkl0hMiqWzR0qis3pnaiskY6zg4ddLoXYXPq6MEEFrjDZbS6F2YoVIpfCbEVy2IoVbj+lPQUJajl2p4qr4bDrmahdBCtqt+JCbJIrobZCQ0LKfL74x59kCgr8v964ONkcYeU+74qL1cr/m64GoZF+X3ew8Cl8dO7cWbt27fJo2717txo2bCjp9ElQiYmJWrlypbvo8/PztX79eg0fPtw/PQ5SxUeO6N9XNZHUpMznc17trLltXtNJE6pim10uY1exbArTr6EjxFb+SElJIAk541BOmK1IC0b3UY2s3eV3zGWqffCQqF0EL2q34lJCI/XS0pfKPTB989gHFL1gnd/Xm7D0pCYlLS73ebt0UQcPycfwMWrUKF111VV64oknNHDgQG3YsEFz587V3LlzJUk2m03333+/HnvsMTVr1kyNGzfWI488oqSkJPXr168y+h9UinPzyn3O+VpLDU65XzKSR8aoyHmov5y/YWxSyvbvVHSO9V4sqF0EK2r3wpzrSz566Pfa0yvV7+scH/+SUi7ycHE+PoWPjh07avHixRo3bpwmT56sxo0ba9asWbrtttvc04wZM0bHjx/XsGHDlJubqy5duuiDDz5QeHi43ztfnUQtXKeoSlhuUSUsMxhRuwhW1G7lWdbyXallZSy56p1nUtXYjDFV6t8zzc/PV0xMjLqrr0Jt5R8zA86lyJzSx1qivLw8RUdHW7JOahf+EMjaPbK7iaKj+OJExeQfdalW82+8ql2qDAAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACzlU/goLi7WI488osaNGysiIkJNmzbVo48+KmOMexpjjMaPH6969eopIiJC6enp2rNnj987DviC2kWwonZRHfkUPqZOnaoXXnhBzz33nHbs2KGpU6dq2rRpevbZZ93TTJs2Tc8884zmzJmj9evXq2bNmsrIyNDJkyf93nnAW9QughW1i+oo1JeJ165dq759+6pPnz6SpEaNGukf//iHNmzYIOl0+p41a5Yefvhh9e3bV5L0yiuvKCEhQW+//bZuueUWP3cf8A61i2BF7aI68mnk46qrrtLKlSu1e/duSdLWrVu1Zs0a9e7dW5K0d+9eZWdnKz093T1PTEyMOnXqpKysrDKXWVBQoPz8fI8H4G/ULoIVtYvqyKeRj7Fjxyo/P18tWrRQSEiIiouL9fjjj+u2226TJGVnZ0uSEhISPOZLSEhwP3e2KVOmaNKkSRXpO+A1ahfBitpFdeTTyMebb76p119/XQsWLNCWLVv08ssv6y9/+YtefvnlCndg3LhxysvLcz/2799f4WUB5aF2EayoXVRHPo18PPjggxo7dqz7GGLbtm21b98+TZkyRYMGDVJiYqIkKScnR/Xq1XPPl5OTo/bt25e5TKfTKafTWcHuA96hdhGsqF1URz6NfJw4cUJ2u+csISEhcrlckqTGjRsrMTFRK1eudD+fn5+v9evXKy0tzQ/dBSqG2kWwonZRHfk08nH99dfr8ccfV0pKilq3bq3PPvtMTz31lO644w5Jks1m0/3336/HHntMzZo1U+PGjfXII48oKSlJ/fr1q4z+A16hdhGsqF1URz6Fj2effVaPPPKIRowYoUOHDikpKUl33XWXxo8f755mzJgxOn78uIYNG6bc3Fx16dJFH3zwgcLDw/3eecBb1C6CFbWL6shmzrxNXhWQn5+vmJgYdVdfhdrCAt0dBKkic0ofa4ny8vIUHR1tyTqpXfhDIGv3yO4mio7iX91AxeQfdalW82+8ql2qDAAAWIrwAQAALEX4AAAAliJ8AAAASxE+AACApQgfAADAUoQPAABgKcIHAACwFOEDAABYivABAAAsRfgAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEuFBroDZzPGSJKKdEoyAe4MglaRTkn6tZ6sQO3CHwJZu/nHXJatE9VPSf14U7tVLnwcPXpUkrRG7wW4J6gOjh49qpiYGMvWJVG78I9A1G7DDt9asj5Ub97Urs1YGa+94HK5tGvXLrVq1Ur79+9XdHR0oLtUJeXn5ys5OZltVA5jjI4ePaqkpCTZ7dYcXaR2vUPtnhu1W3VRu+fmS+1WuZEPu92u+vXrS5Kio6N5g8+DbVQ+q341lqB2fcM2Kh+1W7Wxjcrnbe1ywikAALAU4QMAAFiqSoYPp9OpCRMmyOl0BrorVRbbqGrifTk/tlHVxPtyfmwj/6lyJ5wCAIDqrUqOfAAAgOqL8AEAACxF+AAAAJYifAAAAEtVyfAxe/ZsNWrUSOHh4erUqZM2bNgQ6C4FxMSJE2Wz2TweLVq0cD9/8uRJZWZmqk6dOoqMjNSAAQOUk5MTwB6D2j2N2g0+1O5p1K41qlz4WLhwoUaPHq0JEyZoy5YtuvTSS5WRkaFDhw4FumsB0bp1a/3www/ux5o1a9zPjRo1SkuXLtWiRYu0evVqHTx4UP379w9gby9u1K4najd4ULueqF0LmCrmiiuuMJmZme6/i4uLTVJSkpkyZUoAexUYEyZMMJdeemmZz+Xm5pqwsDCzaNEid9uOHTuMJJOVlWVRD3EmavdX1G5woXZ/Re1ao0qNfBQWFmrz5s1KT093t9ntdqWnpysrKyuAPQucPXv2KCkpSU2aNNFtt92m7777TpK0efNmnTp1ymNbtWjRQikpKRfttgokarc0ajc4ULulUbuVr0qFjx9//FHFxcVKSEjwaE9ISFB2dnaAehU4nTp10vz58/XBBx/ohRde0N69e9W1a1cdPXpU2dnZcjgcio2N9ZjnYt1WgUbteqJ2gwe164natUaV+1dt8avevXu7/79du3bq1KmTGjZsqDfffFMREREB7BlwbtQughW1a40qNfJRt25dhYSElDpzOCcnR4mJiQHqVdURGxur5s2b66uvvlJiYqIKCwuVm5vrMQ3bKjCo3XOjdqsuavfcqN3KUaXCh8PhUGpqqlauXOluc7lcWrlypdLS0gLYs6rh2LFj+vrrr1WvXj2lpqYqLCzMY1vt2rVL3333HdsqAKjdc6N2qy5q99yo3UoS6DNez/bGG28Yp9Np5s+fb7788kszbNgwExsba7KzswPdNcv9v//3/8zHH39s9u7daz799FOTnp5u6tataw4dOmSMMebuu+82KSkp5qOPPjKbNm0yaWlpJi0tLcC9vnhRu7+idoMLtfsratcaVS58GGPMs88+a1JSUozD4TBXXHGFWbduXaC7FBA333yzqVevnnE4HKZ+/frm5ptvNl999ZX7+Z9//tmMGDHC1KpVy9SoUcPceOON5ocffghgj0HtnkbtBh9q9zRq1xo2Y4wJ9OgLAAC4eFSpcz4AAED1R/gAAACWInwAAABLET4AAIClCB8AAMBShA8AAGApwgcAALAU4QMAAFiK8AEAACxF+AAAAJYifAAAAEsRPgAAgKX+P2GdW4pwce1DAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# rerender\n", + "gt_img_render, gt_depth_render = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "logpdf_gt = RayOutlier.logpdf(\n", + " gt_img,\n", + " gt_depth,\n", + " gt_img_render,\n", + " gt_depth_render,\n", + " renderer.fx,\n", + " renderer.fy,\n", + " renderer.height,\n", + " renderer.width,\n", + " renderer.near,\n", + " renderer.far,\n", + " model_args,\n", + ")\n", + "print(\"GT score:\", logpdf_gt[\"log_score\"])\n", + "\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "fig.suptitle(\"Scores - GT pose (inlier, teleport outlier, nonteleport outlier)\")\n", + "ax1.imshow(logpdf_gt[\"inlier_score\"])\n", + "ax2.imshow(logpdf_gt[\"outlier_teleport_score\"])\n", + "ax3.imshow(logpdf_gt[\"outlier_no_teleport_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(9.198999, dtype=float32)" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# plt.imshow(logpdf_gt['outlier_no_teleport_score'])\n", + "jnp.sum(logpdf_gt[\"outlier_no_teleport_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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rbN26Fd27d29S+5ycnDBv3jxMmTIFo0aNwsMPP4xz585h06ZN6NGjh1mPgb0/H0QtogVWVNAtFixYILp06SKUSmWdZXjvv/++GDZsmOjQoYPo0KGDCAoKEklJSaKgoEDKU98SwHXr1onQ0FDh4uIi3NzcRP/+/cVzzz0nLly4IOXp1q2bGDt2rPj000/FgAEDhEqlEkFBQSIjI6NOfd9995148MEHhbu7u3B2dhbh4eFi9+7dZnlql5ZZKi+EEG+++abo3r27cHBwaNRyyD179oihQ4cKFxcXoVarxZ/+9Cdx6tSpOvk+++wz0a9fP+Hk5CR69+4t3nnnHYtLIE+fPi3uvvtu4eLiIgBIyyEbswRSCCEqKyvFkiVLRN++fYVKpRIdO3YUoaGh4qWXXhJlZWVSPgAiKSmpwXu7WWN/D7XtPHToUJ06fv75ZzFp0iTRqVMn4erqKqKiosTp06dFt27dzJZ91ldH7e/u1t/Jhx9+KIYMGSL9DsLDw8W7775r9pz69u1bpz31fS4t2bBhgxg4cKD0TIcPHy6ysrLqPJ9b3fo7MhqNYvr06cLHx0e4uLiIoUOHCr1eXydffZ/Ts2fPCgBi48aNZukrV64U3bp1EyqVSoSHh4svv/xShIaGiujoaLN8jf18EMmFQohmnFlEshMQEIB+/fph9+7dLd0UItkwmUzo3Lkzxo0bZ3F4gej3gnMSiIgaYDQa68xz2LJlC0pKSn6zV4kTtRTOSSAiasBXX32FlJQUPPTQQ/D09MSRI0ewfv169OvXT3ofCdHvFYMEIqIGBAQEwM/PDytXrkRJSQk8PDwwYcIELF68uNneEkrUWnG4oY07d+4c5yMQNSAgIAAffvghDAYDKisrYTAYsGHDhnpX5VDbsGbNGgQEBMDZ2RkRERE4ePBgvXlPnjyJ2NhYBAQEQKFQYPny5U2q02g0IikpCZ6ennB1dUVsbCyKi4ub87bqYJBARERkhR07diA1NRVz587FkSNHcMcddyAqKqrerbevX7+O7t27Y/HixfXuedKYOlNSUvDRRx8hIyMD+/btw4ULFzBu3Di73KPEXssmVq9ebbZkKDc3116XIiIi+s2Eh4ebLXGuqakRvr6+Ii0t7bZlu3XrJpYtW2Z1naWlpaJdu3Zmy3bz8/MFAKHX6224m4bZZU5CbUSUnp6OiIgILF++HFFRUSgoKLhtF53JZMKFCxfg5ubGrU2JiGRICIErV67A19e3URutNZXRaERlZaXN9YhbtkMHbrxRVKVS1clbWVmJvLw8zJw5U0pTKpWIjIw025HWGo2pMy8vD1VVVYiMjJTyBAUFwd/fH3q9HoMHD27StW/HLkHC0qVLMXnyZEyaNAkAkJ6ejo8//hgbNmzAjBkzGix74cIFvgiFiOh3oKioCF27drVL3UajEYHdXGG4ZPuL3FxdXXH16lWztLlz55rt7Frrxx9/RE1NDby9vc3Svb29pXfZWKsxdRoMBjg5OcHd3b1OnltfJd+cmj1IsDbKqqioQEVFhfSz+HU9ctd5s6C85R32RETU+pmMRvx33kK4ubnZ7RqVlZUwXKrB2bxuULs1vbei/IoJgaE/oKioCGq1Wkq31IvQFjV7kGBtlJWWloaXXnqpTrrS2ZlBAhGRjP0WQ8ZqN6VNQYJUj1ptFiTUp1OnTnBwcKizqqC4uLhRL2Jrap1arRaVlZUoLS01602w5bqN0eKrG2bOnImysjLpKCoqaukmERGRTNQIk82HNZycnBAaGors7GwpzWQyITs7Gzqdrkn30Jg6Q0ND0a5dO7M8BQUFKCwsbPJ1G6PZexKsjbLqmxxCRER0OyYImND0VxA1pWxqairi4+MRFhaG8PBwLF++HNeuXZPm4U2YMAFdunSR3mJaWVmJU6dOSf8+f/48jh07BldXV/Ts2bNRdWo0GiQkJCA1NRUeHh5Qq9WYMmUKdDqd3SYtAnYIEm6OiGJiYgD8LyJKTk5u7ssREVEbZoIJ1vUF1C1vrUceeQSXL1/GnDlzYDAYEBISgszMTGmYvbCw0GxVx4ULFzBw4EDp59deew2vvfYahg8fjr179zaqTgBYtmwZlEolYmNjUVFRgaioKLzxxhtNvPPGsctbIHfs2IH4+Hj8/e9/lyKinTt34vTp03XmKtyqvLwcGo0G/osXck4CEZEMmYxGFM6YhbKyskaN8zdF7XfFhYKuNk9c9O39X7u2Vc7ssgSyMRERERGRrWqEQI0Nf+vaUrYtsNsLnpKTkzm8QEREdtUScxLakhZf3UBEREStE18VTUREsmWCQA17EuyGQQIREckWhxvsi8MNREREZBF7EoiISLa4usG+GCQQEZFsmX49bClP9eNwAxEREVnEngQiIpKtGhtXN9hSti1gkEBERLJVI24ctpSn+jFIICIi2eKcBPvinAQiIiKyiD0JREQkWyYoUAOFTeWpfgwSiIhItkzixmFLeaofhxuIiIjIIvYkEBGRbNXYONxgS9m2gEECERHJFoME++JwAxEREVnEngQiIpItk1DAJGxY3WBD2baAQQIREckWhxvsi8MNREREZBF7EoiISLZqoESNDX/v1jRjW36PGCQQEZFsCRvnJAjOSWgQgwQiIpItzkmwL85JICIiIovYk0BERLJVI5SoETbMSeC7GxrEIIGIiGTLBAVMNnSKm8AooSEcbiAiIiKL2JNARESyxYmL9sUggYiIZMv2OQkcbmgIhxuIiIjIIvYkEBGRbN2YuGjDC5443NAgBglERCRbJhu3ZebqhoZxuIGIiIgsYpBARESyVTtx0ZajKdasWYOAgAA4OzsjIiICBw8ebDB/RkYGgoKC4OzsjP79++OTTz4xO69QKCwer776qpQnICCgzvnFixc3qf2NxSCBiIhkywSlzYe1duzYgdTUVMydOxdHjhzBHXfcgaioKFy6dMli/gMHDuDRRx9FQkICjh49ipiYGMTExODEiRNSnosXL5odGzZsgEKhQGxsrFld8+fPN8s3ZcoUq9tvDQYJREQkWzVCYfNhraVLl2Ly5MmYNGkS+vTpg/T0dLRv3x4bNmywmH/FihWIjo7Gs88+i+DgYCxYsACDBg3C6tWrpTxardbs+Oc//4mRI0eie/fuZnW5ubmZ5evQoYPV7bcGgwQiImrzysvLzY6KigqL+SorK5GXl4fIyEgpTalUIjIyEnq93mIZvV5vlh8AoqKi6s1fXFyMjz/+GAkJCXXOLV68GJ6enhg4cCBeffVVVFdXN/YWm4SrG4iISLZqbFzdUPPr6gY/Pz+z9Llz52LevHl18v/444+oqamBt7e3Wbq3tzdOnz5t8RoGg8FifoPBYDH/5s2b4ebmhnHjxpmlT506FYMGDYKHhwcOHDiAmTNn4uLFi1i6dGmD92gLBglERCRbJqGEyYYdF02/7rhYVFQEtVotpatUKpvb1lQbNmxAXFwcnJ2dzdJTU1Olfw8YMABOTk544oknkJaWZrf2MkggIqI2T61WmwUJ9enUqRMcHBxQXFxsll5cXAytVmuxjFarbXT+f//73ygoKMCOHTtu25aIiAhUV1fj3Llz6N27923zNwXnJBARkWzVDjfYcljDyckJoaGhyM7OltJMJhOys7Oh0+ksltHpdGb5ASArK8ti/vXr1yM0NBR33HHHbdty7NgxKJVKeHl5WXUP1mBPAhERyZYJaNIKhZvLWys1NRXx8fEICwtDeHg4li9fjmvXrmHSpEkAgAkTJqBLly5IS0sDADz99NMYPnw4Xn/9dYwdOxbbt2/H4cOHsW7dOrN6y8vLkZGRgddff73ONfV6PXJzczFy5Ei4ublBr9cjJSUFjz32GDp27NiEu2gcBglERERWeOSRR3D58mXMmTMHBoMBISEhyMzMlCYnFhYWQqn8Xw/FkCFDsG3bNsyaNQsvvPACevXqhV27dqFfv35m9W7fvh1CCDz66KN1rqlSqbB9+3bMmzcPFRUVCAwMREpKitk8BXtQCNG63pNZXl4OjUYD/8ULobxl0gYREbV+JqMRhTNmoaysrFHj/E1R+12x9sidcHFt+t+7v1ytxt8GHbJrW+WMPQlERCRbtmytXFue6senQ0RERBaxJ4GIiGTLBAVMsGXiYtPLtgUMEoiISLY43GBfDBKIiEi2bN+WmUFCQ/h0iIiIyCL2JBARkWyZhAImWzZTsqFsW8AggYiIZMtk43CDiR3qDeLTISIiIovYk0BERLJl+6ui+bdyQxgkEBGRbNVAgRob9jqwpWxbwBCKiIiILGJPAhERyRaHG+yLQQIREclWDWwbMqhpvqb8LjGEIiIiIovYk0BERLLF4Qb7YpBARESyxRc82ReDBCIiki1h46uiBZdANoghFBEREVlkVZCQlpaGO++8E25ubvDy8kJMTAwKCgrM8hiNRiQlJcHT0xOurq6IjY1FcXFxszaaiIgI+N9wgy0H1c+qp7Nv3z4kJSXhq6++QlZWFqqqqjBmzBhcu3ZNypOSkoKPPvoIGRkZ2LdvHy5cuIBx48Y1e8OJiIhq3wJpy0H1s2pOQmZmptnPmzZtgpeXF/Ly8nD33XejrKwM69evx7Zt2zBq1CgAwMaNGxEcHIyvvvoKgwcPrlNnRUUFKioqpJ/Ly8ubch9ERETUzGzqZykrKwMAeHh4AADy8vJQVVWFyMhIKU9QUBD8/f2h1+st1pGWlgaNRiMdfn5+tjSJiIjakJpfXxVty0H1a/LTMZlMmDZtGoYOHYp+/foBAAwGA5ycnODu7m6W19vbGwaDwWI9M2fORFlZmXQUFRU1tUlERNTGcLjBvpq8BDIpKQknTpzA/v37bWqASqWCSqWyqQ4iIiJqfk0KEpKTk7F792588cUX6Nq1q5Su1WpRWVmJ0tJSs96E4uJiaLVamxtLRER0MxOUMNkwZGBL2bbAqqcjhEBycjI++OAD5OTkIDAw0Ox8aGgo2rVrh+zsbCmtoKAAhYWF0Ol0zdNiIiKiX9UIhc0H1c+qnoSkpCRs27YN//znP+Hm5ibNM9BoNHBxcYFGo0FCQgJSU1Ph4eEBtVqNKVOmQKfTWVzZQERERK2XVUHC2rVrAQAjRowwS9+4cSMmTpwIAFi2bBmUSiViY2NRUVGBqKgovPHGG83SWCIiopvZOvmQExcbZlWQIIS4bR5nZ2esWbMGa9asaXKjiIiIGkPY+BZIwR0XG8QXPBERkWzVQIEaG17SZEvZtoAhFBEREVnEngQiIpItk7BtXoHp9qPobRqDBCIiki2TjXMSbCnbFvDpEBERkUUMEoiISLZMUNh8NMWaNWsQEBAAZ2dnRERE4ODBgw3mz8jIQFBQEJydndG/f3988sknZucnTpwIhUJhdkRHR5vlKSkpQVxcHNRqNdzd3ZGQkICrV682qf2NxSCBiIhkqyV2XNyxYwdSU1Mxd+5cHDlyBHfccQeioqJw6dIli/kPHDiARx99FAkJCTh69ChiYmIQExODEydOmOWLjo7GxYsXpePdd981Ox8XF4eTJ08iKytLejVCYmKi1e23BoMEIiIiKyxduhSTJ0/GpEmT0KdPH6Snp6N9+/bYsGGDxfwrVqxAdHQ0nn32WQQHB2PBggUYNGgQVq9ebZZPpVJBq9VKR8eOHaVz+fn5yMzMxFtvvYWIiAgMGzYMq1atwvbt23HhwgW73SuDBCIikq3aiYu2HABQXl5udlRUVFi8XmVlJfLy8hAZGSmlKZVKREZGQq/XWyyj1+vN8gNAVFRUnfx79+6Fl5cXevfujb/97W/46aefzOpwd3dHWFiYlBYZGQmlUonc3FzrHpoVGCQQEZFsmaCQtmZu0vHrnAQ/Pz9oNBrpSEtLs3i9H3/8ETU1NfD29jZL9/b2lt5ndCuDwXDb/NHR0diyZQuys7OxZMkS7Nu3D/feey9qamqkOry8vMzqcHR0hIeHR73XbQ5cAklERG1eUVER1Gq19LNKpfpNrz9+/Hjp3/3798eAAQPQo0cP7N27F6NHj/5N23Iz9iQQEZFsCRtXNohfexLUarXZUV+Q0KlTJzg4OKC4uNgsvbi4GFqt1mIZrVZrVX4A6N69Ozp16oRvv/1WquPWiZHV1dUoKSlpsB5bMUggIiLZsmmooQlvkHRyckJoaCiys7P/1waTCdnZ2dDpdBbL6HQ6s/wAkJWVVW9+APjvf/+Ln376CT4+PlIdpaWlyMvLk/Lk5OTAZDIhIiLCqnuwBocbiIhItlpix8XU1FTEx8cjLCwM4eHhWL58Oa5du4ZJkyYBACZMmIAuXbpI8xqefvppDB8+HK+//jrGjh2L7du34/Dhw1i3bh0A4OrVq3jppZcQGxsLrVaL7777Ds899xx69uyJqKgoAEBwcDCio6MxefJkpKeno6qqCsnJyRg/fjx8fX2bfP+3wyCBiIjICo888gguX76MOXPmwGAwICQkBJmZmdLkxMLCQiiV/ws+hgwZgm3btmHWrFl44YUX0KtXL+zatQv9+vUDADg4OOA///kPNm/ejNLSUvj6+mLMmDFYsGCB2bDH1q1bkZycjNGjR0OpVCI2NhYrV660670qhBCt6vUW5eXl0Gg08F+8EEpn55ZuDhERWclkNKJwxiyUlZWZTQZsTrXfFfd/9jjadXBqcj1V1yrxzzEb7NpWOWNPAhERyZYtWyvXlqf6ceIiERERWcSeBCIikq2mrFC4tTzVj0ECERHJFoME++JwAxEREVnEngQiIpIt9iTYF4MEIiKSLQYJ9sXhBiIiIrKIPQlERCRbArbtddCqdhNshRgkEBGRbHG4wb4YJBARkWwxSLAvzkkgIiIii9iTQEREssWeBPtikEBERLLFIMG+ONxAREREFrEngYiIZEsIBYQNvQG2lG0LGCQQEZFsmaCwaZ8EW8q2BRxuICIiIovYk0BERLLFiYv2xSCBiIhki3MS7IvDDURERGQRexKIiEi2ONxgXwwSiIhItjjcYF8MEoiISLaEjT0JDBIaxjkJREREZBF7EoiISLYEACFsK0/1Y5BARESyZYICCu64aDccbiAiIiKL2JNARESyxdUN9sUggYiIZMskFFBwnwS74XADERERWcSeBCIiki0hbFzdwOUNDWKQQEREssU5CfbF4QYiIiKyiD0JREQkW+xJsC/2JBARkWzVvgXSlqMp1qxZg4CAADg7OyMiIgIHDx5sMH9GRgaCgoLg7OyM/v3745NPPpHOVVVV4fnnn0f//v3RoUMH+Pr6YsKECbhw4YJZHQEBAVAoFGbH4sWLm9T+xmKQQEREslU7cdGWw1o7duxAamoq5s6diyNHjuCOO+5AVFQULl26ZDH/gQMH8OijjyIhIQFHjx5FTEwMYmJicOLECQDA9evXceTIEcyePRtHjhzBP/7xDxQUFODPf/5znbrmz5+PixcvSseUKVOsvwErMEggIiKywtKlSzF58mRMmjQJffr0QXp6Otq3b48NGzZYzL9ixQpER0fj2WefRXBwMBYsWIBBgwZh9erVAACNRoOsrCw8/PDD6N27NwYPHozVq1cjLy8PhYWFZnW5ublBq9VKR4cOHex6rwwSiIhItm70BihsOG7UU15ebnZUVFRYvF5lZSXy8vIQGRkppSmVSkRGRkKv11sso9frzfIDQFRUVL35AaCsrAwKhQLu7u5m6YsXL4anpycGDhyIV199FdXV1Y14Sk3HiYtERCRbzTVx0c/Pzyx97ty5mDdvXp38P/74I2pqauDt7W2W7u3tjdOnT1u8hsFgsJjfYDBYzG80GvH888/j0UcfhVqtltKnTp2KQYMGwcPDAwcOHMDMmTNx8eJFLF269Lb32VQMEoiIqM0rKioy+0JWqVQt0o6qqio8/PDDEEJg7dq1ZudSU1Olfw8YMABOTk544oknkJaWZrf2MkggIiLZEr8etpQHALVabRYk1KdTp05wcHBAcXGxWXpxcTG0Wq3FMlqttlH5awOEH374ATk5ObdtT0REBKqrq3Hu3Dn07t37tm1vCs5JICIi2bJtPoL1QxVOTk4IDQ1Fdna2lGYymZCdnQ2dTmexjE6nM8sPAFlZWWb5awOEM2fOYM+ePfD09LxtW44dOwalUgkvLy+r7sEa7EkgIiKyQmpqKuLj4xEWFobw8HAsX74c165dw6RJkwAAEyZMQJcuXZCWlgYAePrppzF8+HC8/vrrGDt2LLZv347Dhw9j3bp1AG4ECA8++CCOHDmC3bt3o6amRpqv4OHhAScnJ+j1euTm5mLkyJFwc3ODXq9HSkoKHnvsMXTs2NFu98oggYiI5Ku5xhus8Mgjj+Dy5cuYM2cODAYDQkJCkJmZKU1OLCwshFL5v476IUOGYNu2bZg1axZeeOEF9OrVC7t27UK/fv0AAOfPn8eHH34IAAgJCTG71ueff44RI0ZApVJh+/btmDdvHioqKhAYGIiUlBSzeQr2oBCidb0Dq7y8HBqNBv6LF0Lp7NzSzSEiIiuZjEYUzpiFsrKyRo3zN0Xtd0X3TS9C2b7p3xWm60Z8P3GRXdsqZ+xJICIi2eKrou3LpomLixcvhkKhwLRp06Q0o9GIpKQkeHp6wtXVFbGxsXVmdRIREVHr1+Qg4dChQ/j73/+OAQMGmKWnpKTgo48+QkZGBvbt24cLFy5g3LhxNjeUiIjoVr/16oa2pklBwtWrVxEXF4c333zTbFZlWVkZ1q9fj6VLl2LUqFEIDQ3Fxo0bceDAAXz11VcW66qoqKizHSYREVGjCIXtB9WrSUFCUlISxo4dW2cv6ry8PFRVVZmlBwUFwd/fv949qtPS0qDRaKTj1q0xiYiIqGVYHSRs374dR44ckdZ/3sxgMMDJyanOCyka2qN65syZKCsrk46ioiJrm0RERG1US7wqui2xanVDUVERnn76aWRlZcG5mZYnqlSqFtsjm4iIZK4F9kloS6zqScjLy8OlS5cwaNAgODo6wtHREfv27cPKlSvh6OgIb29vVFZWorS01KxcQ3taExERUetkVU/C6NGj8fXXX5ulTZo0CUFBQXj++efh5+eHdu3aITs7G7GxsQCAgoICFBYW1runNRERUVM116uiyTKrggQ3NzdpG8laHTp0gKenp5SekJCA1NRUeHh4QK1WY8qUKdDpdBg8eHDztZqIiKgWhwzsptl3XFy2bBmUSiViY2NRUVGBqKgovPHGG819GSIiIrIzm4OEvXv3mv3s7OyMNWvWYM2aNbZWTURE1CAON9gX391ARETyxdUNdsUggYiIZEzx62FLeaqPTS94IiIiot8v9iQQEZF8cbjBrhgkEBGRfDFIsCsONxAREZFF7EkgIiL5svV1z1wC2SAGCUREJFu2vsmRb4FsGIcbiIiIyCL2JBARkXxx4qJdMUggIiL54pwEu+JwAxEREVnEngQiIpIthbhx2FKe6scggYiI5ItzEuyKQQIREckX5yTYFeckEBERkUXsSSAiIvnicINdMUggIiL5YpBgVxxuICIiIovYk0BERPLFngS7YpBARETyxdUNdsXhBiIiIrKIPQlERCRb3HHRvhgkEBGRfHFOgl1xuIGIiMhKa9asQUBAAJydnREREYGDBw82mD8jIwNBQUFwdnZG//798cknn5idF0Jgzpw58PHxgYuLCyIjI3HmzBmzPCUlJYiLi4NarYa7uzsSEhJw9erVZr+3mzFIICIissKOHTuQmpqKuXPn4siRI7jjjjsQFRWFS5cuWcx/4MABPProo0hISMDRo0cRExODmJgYnDhxQsrzyiuvYOXKlUhPT0dubi46dOiAqKgoGI1GKU9cXBxOnjyJrKws7N69G1988QUSExPteq8KIUSr6mwpLy+HRqOB/+KFUDo7t3RziIjISiajEYUzZqGsrAxqtdou16j9rui2xLbvCpPRiB+en4WioiKztqpUKqhUKotlIiIicOedd2L16tU36jCZ4OfnhylTpmDGjBl18j/yyCO4du0adu/eLaUNHjwYISEhSE9PhxACvr6+mD59Op555hkAQFlZGby9vbFp0yaMHz8e+fn56NOnDw4dOoSwsDAAQGZmJu677z7897//ha+vb5OfQUPYk0BERPJVuwTSlgOAn58fNBqNdKSlpVm8XGVlJfLy8hAZGSmlKZVKREZGQq/XWyyj1+vN8gNAVFSUlP/s2bMwGAxmeTQaDSIiIqQ8er0e7u7uUoAAAJGRkVAqlcjNzW3Cg2scTlwkIqI2z1JPgiU//vgjampq4O3tbZbu7e2N06dPWyxjMBgs5jcYDNL52rSG8nh5eZmdd3R0hIeHh5THHhgkEBGRfDXT6ga1Wm23oRE543ADERHJl2iGwwqdOnWCg4MDiouLzdKLi4uh1WotltFqtQ3mr/3f2+W5dWJkdXU1SkpK6r1uc2CQQERE1EhOTk4IDQ1Fdna2lGYymZCdnQ2dTmexjE6nM8sPAFlZWVL+wMBAaLVaszzl5eXIzc2V8uh0OpSWliIvL0/Kk5OTA5PJhIiIiGa7v1txuIGIiGSrJXZcTE1NRXx8PMLCwhAeHo7ly5fj2rVrmDRpEgBgwoQJ6NKlizT58emnn8bw4cPx+uuvY+zYsdi+fTsOHz6MdevW3WiDQoFp06Zh4cKF6NWrFwIDAzF79mz4+voiJiYGABAcHIzo6GhMnjwZ6enpqKqqQnJyMsaPH2+3lQ0AgwQiIpKzFthx8ZFHHsHly5cxZ84cGAwGhISEIDMzU5p4WFhYCKXyfx31Q4YMwbZt2zBr1iy88MIL6NWrF3bt2oV+/fpJeZ577jlcu3YNiYmJKC0txbBhw5CZmQnnm5Z3bt26FcnJyRg9ejSUSiViY2OxcuXKpt97I3CfBCIiala/5T4JAQsX2bxPwrlZL9q1rXLGngQiIpIvvrvBrhgkEBGRbPEtkPbF1Q1ERERkEXsSiIhIvm7aWrnJ5aleDBKIiEi+OCfBrhgkEBGRbHFOgn1xTgIRERFZxJ4EIiKSLw432BWDBCIiki8bhxsYJDSMww1ERERkEXsSiIhIvjjcYFcMEoiISL4YJNgVhxuIiIjIIvYkEBGRbHGfBPtiTwIRERFZxCCBiIiILOJwAxERyRcnLtoVgwQiIpItzkmwLwYJREQkb/yitxvOSSAiIiKL2JNARETyxTkJdsUggYiIZItzEuyLww1ERERkEXsSiIhIvjjcYFcMEoiISLY43GBfHG4gIiIii9iTQERE8sXhBruyuifh/PnzeOyxx+Dp6QkXFxf0798fhw8fls4LITBnzhz4+PjAxcUFkZGROHPmTLM2moiICMD/ggRbDqqXVUHCzz//jKFDh6Jdu3b417/+hVOnTuH1119Hx44dpTyvvPIKVq5cifT0dOTm5qJDhw6IioqC0Whs9sYTERGR/Vg13LBkyRL4+flh48aNUlpgYKD0byEEli9fjlmzZuH+++8HAGzZsgXe3t7YtWsXxo8f30zNJiIi4sRFe7OqJ+HDDz9EWFgYHnroIXh5eWHgwIF48803pfNnz56FwWBAZGSklKbRaBAREQG9Xm+xzoqKCpSXl5sdREREjcLhBruyKkj4/vvvsXbtWvTq1Quffvop/va3v2Hq1KnYvHkzAMBgMAAAvL29zcp5e3tL526VlpYGjUYjHX5+fk25DyIiaosYJNiVVUGCyWTCoEGD8PLLL2PgwIFITEzE5MmTkZ6e3uQGzJw5E2VlZdJRVFTU5LqIiIio+VgVJPj4+KBPnz5macHBwSgsLAQAaLVaAEBxcbFZnuLiYuncrVQqFdRqtdlBRETUGLVzEmw5qH5WBQlDhw5FQUGBWdo333yDbt26AbgxiVGr1SI7O1s6X15ejtzcXOh0umZoLhER0U043GBXVgUJKSkp+Oqrr/Dyyy/j22+/xbZt27Bu3TokJSUBABQKBaZNm4aFCxfiww8/xNdff40JEybA19cXMTEx9mg/ERFRq1RSUoK4uDio1Wq4u7sjISEBV69ebbCM0WhEUlISPD094erqitjYWLPe+ePHj+PRRx+Fn58fXFxcEBwcjBUrVpjVsXfvXigUijpHfXMDG2LVEsg777wTH3zwAWbOnIn58+cjMDAQy5cvR1xcnJTnueeew7Vr15CYmIjS0lIMGzYMmZmZcHZ2trpxREREDWnNSyDj4uJw8eJFZGVloaqqCpMmTUJiYiK2bdtWb5mUlBR8/PHHyMjIgEajQXJyMsaNG4cvv/wSAJCXlwcvLy+888478PPzw4EDB5CYmAgHBwckJyeb1VVQUGA2hO/l5WX1PSiEEK2qs6W8vBwajQb+ixdCycCCiEh2TEYjCmfMQllZmd3mmdV+VwQnvQwHVdO/K2oqjMhf80KztzU/Px99+vTBoUOHEBYWBgDIzMzEfffdh//+97/w9fWtU6asrAydO3fGtm3b8OCDDwIATp8+jeDgYOj1egwePNjitZKSkpCfn4+cnBwAN3oSRo4ciZ9//hnu7u423Qdf8ERERG3erfv1VFRU2FSfXq+Hu7u7FCAAQGRkJJRKJXJzcy2WycvLQ1VVldleQ0FBQfD39693ryHgRnDh4eFRJz0kJAQ+Pj645557pJ4IazFIICIi+WqmiYt+fn5me/akpaXZ1CyDwVCne9/R0REeHh71zg0wGAxwcnKq89d/Q3sNHThwADt27EBiYqKU5uPjg/T0dLz//vt4//334efnhxEjRuDIkSNW3wffAklERLKl+PWwpTwAFBUVmQ03qFQqi/lnzJiBJUuWNFhnfn6+DS1qvBMnTuD+++/H3LlzMWbMGCm9d+/e6N27t/TzkCFD8N1332HZsmV4++23rboGgwQiImrzGrtPz/Tp0zFx4sQG83Tv3h1arRaXLl0yS6+urkZJSUm9+wZptVpUVlaitLTUrDfB0l5Dp06dwujRo5GYmIhZs2bdtt3h4eHYv3//bfPdikECERHJl617HVhZtnPnzujcufNt8+l0OpSWliIvLw+hoaEAgJycHJhMJkRERFgsExoainbt2iE7OxuxsbEAbqxQKCwsNNtr6OTJkxg1ahTi4+OxaNGiRrX72LFj8PHxaVTemzFIICIi2WqtSyCDg4MRHR0tvbqgqqoKycnJGD9+vLSy4fz58xg9ejS2bNmC8PBwaDQaJCQkIDU1FR4eHlCr1ZgyZQp0Op20suHEiRMYNWoUoqKikJqaKs1VcHBwkIKX5cuXIzAwEH379oXRaMRbb72FnJwcfPbZZ1bfB4MEIiKSr9+4J8EaW7duRXJyMkaPHg2lUonY2FisXLlSOl9VVYWCggJcv35dSlu2bJmUt6KiAlFRUXjjjTek8++99x4uX76Md955B++8846U3q1bN5w7dw4AUFlZienTp+P8+fNo3749BgwYgD179mDkyJFW3wP3SSAiomb1W+6T0PcJ2/dJOPn35t8n4feCPQlERCRvrepP3d8XBglERCRbrXVOwu8FN1MiIiIii9iTQERE8tWKJy7+HjBIICIi2eJwg31xuIGIiIgsYk8CERHJF4cb7IpBAhERyRaHG+yLww1ERERkEXsSiIhIvjjcYFcMEoiISL4YJNgVgwQiIpItzkmwL85JICIiIovYk0BERPLF4Qa7YpBARESypRACCtH0b3pbyrYFHG4gIiIii9iTQERE8sXhBrtikEBERLLF1Q32xeEGIiIisog9CUREJF8cbrArBglERCRbHG6wLw43EBERkUXsSSAiIvnicINdMUggIiLZ4nCDfTFIICIi+WJPgl1xTgIRERFZxJ4EIiKSNQ4Z2A+DBCIiki8hbhy2lKd6cbiBiIiILGJPAhERyRZXN9gXgwQiIpIvrm6wKw43EBERkUXsSSAiItlSmG4ctpSn+jFIICIi+eJwg11xuIGIiIgsYpBARESyVbu6wZbDXkpKShAXFwe1Wg13d3ckJCTg6tWrDZYxGo1ISkqCp6cnXF1dERsbi+LiYvN7VijqHNu3bzfLs3fvXgwaNAgqlQo9e/bEpk2bmnQPDBKIiEi+ajdTsuWwk7i4OJw8eRJZWVnYvXs3vvjiCyQmJjZYJiUlBR999BEyMjKwb98+XLhwAePGjauTb+PGjbh48aJ0xMTESOfOnj2LsWPHYuTIkTh27BimTZuGv/71r/j000+tvgfOSSAiItlqrfsk5OfnIzMzE4cOHUJYWBgAYNWqVbjvvvvw2muvwdfXt06ZsrIyrF+/Htu2bcOoUaMA3AgGgoOD8dVXX2Hw4MFSXnd3d2i1WovXTk9PR2BgIF5//XUAQHBwMPbv349ly5YhKirKqvtgTwIREbV55eXlZkdFRYVN9en1eri7u0sBAgBERkZCqVQiNzfXYpm8vDxUVVUhMjJSSgsKCoK/vz/0er1Z3qSkJHTq1Anh4eHYsGEDxE09Inq93qwOAIiKiqpTR2MwSCAiIvkSzXAA8PPzg0ajkY60tDSbmmUwGODl5WWW5ujoCA8PDxgMhnrLODk5wd3d3Szd29vbrMz8+fOxc+dOZGVlITY2Fk899RRWrVplVo+3t3edOsrLy/HLL79YdR8cbiAiItlqruGGoqIiqNVqKV2lUlnMP2PGDCxZsqTBOvPz85veoEaYPXu29O+BAwfi2rVrePXVVzF16tRmvxaDBCIiavPUarVZkFCf6dOnY+LEiQ3m6d69O7RaLS5dumSWXl1djZKSknrnEmi1WlRWVqK0tNSsN6G4uLjeMgAQERGBBQsWoKKiAiqVClqtts6KiOLiYqjVari4uDR8g7dgkEBERPL1G78qunPnzujcufNt8+l0OpSWliIvLw+hoaEAgJycHJhMJkRERFgsExoainbt2iE7OxuxsbEAgIKCAhQWFkKn09V7rWPHjqFjx45S74dOp8Mnn3xilicrK6vBOurDIIGIiGSrta5uCA4ORnR0NCZPnoz09HRUVVUhOTkZ48ePl1Y2nD9/HqNHj8aWLVsQHh4OjUaDhIQEpKamwsPDA2q1GlOmTIFOp5NWNnz00UcoLi7G4MGD4ezsjKysLLz88st45plnpGs/+eSTWL16NZ577jk8/vjjyMnJwc6dO/Hxxx9bfR8MEoiIiOxg69atSE5OxujRo6FUKhEbG4uVK1dK56uqqlBQUIDr169LacuWLZPyVlRUICoqCm+88YZ0vl27dlizZg1SUlIghEDPnj2xdOlSTJ48WcoTGBiIjz/+GCkpKVixYgW6du2Kt956y+rljwCgEMKOO0k0QXl5OTQaDfwXL4TS2bmlm0NERFYyGY0onDELZWVljRrnb4ra7wpd9Hw4tmv6d0V1lRH6zDl2baucsSeBiIhkq7UON/xecJ8EIiIisog9CUREJF8mceOwpTzVi0ECERHJ1027Jja5PNWLQQIREcmWAjbOSWi2lvw+cU4CERERWcSeBCIikq/feMfFtoZBAhERyRaXQNoXhxuIiIjIIquChJqaGsyePRuBgYFwcXFBjx49sGDBAty8aaMQAnPmzIGPjw9cXFwQGRmJM2fONHvDiYiIpNUNthxUL6uChCVLlmDt2rVYvXo18vPzsWTJErzyyitYtWqVlOeVV17BypUrkZ6ejtzcXHTo0AFRUVEwGo3N3ngiImrbFELYfFD9rJqTcODAAdx///0YO3YsACAgIADvvvsuDh48COBGL8Ly5csxa9Ys3H///QCALVu2wNvbG7t27cL48eObuflERERkL1b1JAwZMgTZ2dn45ptvAADHjx/H/v37ce+99wIAzp49C4PBgMjISKmMRqNBREQE9Hq9xTorKipQXl5udhARETWKqRkOqpdVPQkzZsxAeXk5goKC4ODggJqaGixatAhxcXEAAIPBAADw9vY2K+ft7S2du1VaWhpeeumlprSdiIjaOFuHDDjc0DCrehJ27tyJrVu3Ytu2bThy5Ag2b96M1157DZs3b25yA2bOnImysjLpKCoqanJdRERE1Hys6kl49tlnMWPGDGluQf/+/fHDDz8gLS0N8fHx0Gq1AIDi4mL4+PhI5YqLixESEmKxTpVKBZVK1cTmExFRm8Z3N9iVVT0J169fh1JpXsTBwQEm041BncDAQGi1WmRnZ0vny8vLkZubC51O1wzNJSIiukntjou2HFQvq3oS/vSnP2HRokXw9/dH3759cfToUSxduhSPP/44AEChUGDatGlYuHAhevXqhcDAQMyePRu+vr6IiYmxR/uJiKgN446L9mVVkLBq1SrMnj0bTz31FC5dugRfX1888cQTmDNnjpTnueeew7Vr15CYmIjS0lIMGzYMmZmZcHZ2bvbGExERkf0ohGhdfS3l5eXQaDTwX7wQSgYWRESyYzIaUThjFsrKyqBWq+1yjdrviuG6WXB0bPp3RXW1Efv0C+3aVjnjC56IiEi2FKYbhy3lqX58wRMRERFZxJ4EIiKSL1tXKLSuEfdWh0ECERHJF/dJsCsONxAREZFF7EkgIiLZ4rsb7ItBAhERyRfnJNgVhxuIiIjIIvYkEBGRfAkAtux1wI6EBjFIICIi2eKcBPtikEBERPIlYOOchGZrye8S5yQQERGRRexJICIi+eLqBrtikEBERPJlAqCwsTzVi8MNREREZBGDBCIikq3a1Q22HPZSUlKCuLg4qNVquLu7IyEhAVevXm2wjNFoRFJSEjw9PeHq6orY2FgUFxdL5zdt2gSFQmHxuHTpEgBg7969Fs8bDAar74HDDUREJF+teE5CXFwcLl68iKysLFRVVWHSpElITEzEtm3b6i2TkpKCjz/+GBkZGdBoNEhOTsa4cePw5ZdfAgAeeeQRREdHm5WZOHEijEYjvLy8zNILCgqgVquln2893xgMEoiIiJpZfn4+MjMzcejQIYSFhQEAVq1ahfvuuw+vvfYafH1965QpKyvD+vXrsW3bNowaNQoAsHHjRgQHB+Orr77C4MGD4eLiAhcXF6nM5cuXkZOTg/Xr19epz8vLC+7u7jbdB4cbiIhIvmp7Emw5AJSXl5sdFRUVNjVLr9fD3d1dChAAIDIyEkqlErm5uRbL5OXloaqqCpGRkVJaUFAQ/P39odfrLZbZsmUL2rdvjwcffLDOuZCQEPj4+OCee+6ReiKsxSCBiIjkq5mCBD8/P2g0GulIS0uzqVkGg6FO976joyM8PDzqnRtgMBjg5ORU569/b2/vesusX78ef/nLX8x6F3x8fJCeno73338f77//Pvz8/DBixAgcOXLE6vvgcAMREbV5RUVFZuP3KpXKYr4ZM2ZgyZIlDdaVn5/frG2rj16vR35+Pt5++22z9N69e6N3797Sz0OGDMF3332HZcuW1cl7OwwSiIhIvpppnwS1Wm0WJNRn+vTpmDhxYoN5unfvDq1WK602qFVdXY2SkhJotVqL5bRaLSorK1FaWmrWm1BcXGyxzFtvvYWQkBCEhobett3h4eHYv3//bfPdikECERHJ1m/9gqfOnTujc+fOt82n0+lQWlqKvLw86Us8JycHJpMJERERFsuEhoaiXbt2yM7ORmxsLIAbKxQKCwuh0+nM8l69ehU7d+5s9LDIsWPH4OPj06i8N2OQQERE8tVKl0AGBwcjOjoakydPRnp6OqqqqpCcnIzx48dLKxvOnz+P0aNHY8uWLQgPD4dGo0FCQgJSU1Ph4eEBtVqNKVOmQKfTYfDgwWb179ixA9XV1XjsscfqXHv58uUIDAxE3759YTQa8dZbbyEnJwefffaZ1ffBIIGIiMgOtm7diuTkZIwePRpKpRKxsbFYuXKldL6qqgoFBQW4fv26lLZs2TIpb0VFBaKiovDGG2/UqXv9+vUYN26cxSWOlZWVmD59Os6fP4/27dtjwIAB2LNnD0aOHGn1PSiEaF1vtygvL4dGo4H/4oVQOju3dHOIiMhKJqMRhTNmoaysrFHj/E1R+10R2WMaHB0sTzJsjOqaCuz5brld2ypn7EkgIiL5aqXDDb8X3CeBiIiILGJPAhERyZiNPQlgT0JDGCQQEZF8cbjBrjjcQERERBaxJ4GIiOTLJGDTkIGJPQkNYZBARETyJUw3DlvKU7043EBEREQWsSeBiIjkixMX7YpBAhERyRfnJNgVgwQiIpIv9iTYFeckEBERkUXsSSAiIvkSsLEnodla8rvEIIGIiOSLww12xeEGIiIisog9CUREJF8mEwAbNkQycTOlhjBIICIi+eJwg11xuIGIiIgsYk8CERHJF3sS7IpBAhERyRd3XLQrDjcQERGRRexJICIi2RLCBGHD655tKdsWMEggIiL5EsK2IQPOSWgQgwQiIpIvYeOcBAYJDeKcBCIiIrKIPQlERCRfJhOgsGFeAeckNIhBAhERyReHG+yKww1ERERkEXsSiIhItoTJBGHDcAOXQDaMQQIREckXhxvsisMNREREZBF7EoiISL5MAlCwJ8FeGCQQEZF8CQHAliWQDBIawuEGIiIisog9CUREJFvCJCBsGG4Q7EloEHsSiIhIvoTJ9sNOSkpKEBcXB7VaDXd3dyQkJODq1asNllm3bh1GjBgBtVoNhUKB0tLSJtX7n//8B3fddRecnZ3h5+eHV155pUn3wCCBiIhkS5iEzYe9xMXF4eTJk8jKysLu3bvxxRdfIDExscEy169fR3R0NF544YUm11teXo4xY8agW7duyMvLw6uvvop58+Zh3bp1Vt8DhxuIiIiaWX5+PjIzM3Ho0CGEhYUBAFatWoX77rsPr732Gnx9fS2WmzZtGgBg7969Ta5369atqKysxIYNG+Dk5IS+ffvi2LFjWLp06W2DlFu1uiChdnzIZDS2cEuIiKgpav/7/VuM91eLCpuGDKpRBeDGX983U6lUUKlUTa5Xr9fD3d1d+iIHgMjISCiVSuTm5uKBBx6wW716vR533303nJycpDxRUVFYsmQJfv75Z3Ts2LHR12t1QcKVK1cAAP+dt7CFW0JERLa4cuUKNBqNXep2cnKCVqvFfsMnNtfl6uoKPz8/s7S5c+di3rx5Ta7TYDDAy8vLLM3R0REeHh4wGAx2rddgMCAwMNAsj7e3t3RO1kGCr68vioqKIISAv78/ioqKoFarW7pZrVZ5eTn8/Pz4nG6Dz6lx+Jwah8+pYUIIXLlypd4u9ebg7OyMs2fPorKy0ua6hBBQKBRmafX1IsyYMQNLlixpsL78/Hyb29RatLogQalUomvXrlLXj1qt5v8JG4HPqXH4nBqHz6lx+JzqZ68ehJs5OzvD2dnZ7te52fTp0zFx4sQG83Tv3h1arRaXLl0yS6+urkZJSQm0Wm2Tr9+YerVaLYqLi83y1P5s7bVbXZBARETUWnXu3BmdO3e+bT6dTofS0lLk5eUhNDQUAJCTkwOTyYSIiIgmX78x9ep0Orz44ouoqqpCu3btAABZWVno3bu3VUMNAJdAEhERNbvg4GBER0dj8uTJOHjwIL788kskJydj/Pjx0jDM+fPnERQUhIMHD0rlDAYDjh07hm+//RYA8PXXX+PYsWMoKSlpdL1/+ctf4OTkhISEBJw8eRI7duzAihUrkJqaav2NiFbKaDSKuXPnCqPR2NJNadX4nBqHz6lx+Jwah8+JGuOnn34Sjz76qHB1dRVqtVpMmjRJXLlyRTp/9uxZAUB8/vnnUtrcuXNr331tdmzcuLHR9QohxPHjx8WwYcOESqUSXbp0EYsXL27SPSiE4J6UREREVBeHG4iIiMgiBglERERkEYMEIiIisohBAhEREVnEIIGIiIgsarVBwpo1axAQEABnZ2dERESYrSNta9LS0nDnnXfCzc0NXl5eiImJQUFBgVkeo9GIpKQkeHp6wtXVFbGxsXV23GprFi9eDIVCIb1VDeBzqnX+/Hk89thj8PT0hIuLC/r374/Dhw9L54UQmDNnDnx8fODi4oLIyEicOXOmBVv826upqcHs2bMRGBgIFxcX9OjRAwsWLDB7aRGfE/3uNWnhpJ1t375dODk5iQ0bNoiTJ0+KyZMnC3d3d1FcXNzSTWsRUVFRYuPGjeLEiRPi2LFj4r777hP+/v7i6tWrUp4nn3xS+Pn5iezsbHH48GExePBgMWTIkBZsdcs6ePCgCAgIEAMGDBBPP/20lM7nJERJSYno1q2bmDhxosjNzRXff/+9+PTTT8W3334r5Vm8eLHQaDRi165d4vjx4+LPf/6zCAwMFL/88ksLtvy3tWjRIuHp6Sl2794tzp49KzIyMoSrq6tYsWKFlIfPiX7vWmWQEB4eLpKSkqSfa2pqhK+vr0hLS2vBVrUely5dEgDEvn37hBBClJaWinbt2omMjAwpT35+vgAg9Hp9SzWzxVy5ckX06tVLZGVlieHDh0tBAp/TDc8//7wYNmxYvedNJpPQarXi1VdfldJKS0uFSqUS77777m/RxFZh7Nix4vHHHzdLGzdunIiLixNC8DlR29DqhhsqKyuRl5eHyMhIKU2pVCIyMhJ6vb4FW9Z6lJWVAQA8PDwAAHl5eaiqqjJ7ZkFBQfD392+TzywpKQljx441ex4An1OtDz/8EGFhYXjooYfg5eWFgQMH4s0335TOnz17FgaDwew5aTQaREREtKnnNGTIEGRnZ+Obb74BABw/fhz79+/HvffeC4DPidqGVveCpx9//BE1NTXSu69reXt74/Tp0y3UqtbDZDJh2rRpGDp0KPr16wfgxl7fTk5OcHd3N8vr7e1t03vL5Wj79u04cuQIDh06VOccn9MN33//PdauXYvU1FS88MILOHToEKZOnQonJyfEx8dLz8LS/wfb0nOaMWMGysvLERQUBAcHB9TU1GDRokWIi4sDAD4nahNaXZBADUtKSsKJEyewf//+lm5Kq1NUVISnn34aWVlZv/nrY+XEZDIhLCwML7/8MgBg4MCBOHHiBNLT0xEfH9/CrWs9du7cia1bt2Lbtm3o27cvjh07hmnTpsHX15fPidqMVjfc0KlTJzg4OFh8F7Yt7+D+PUhOTsbu3bvx+eefo2vXrlK6VqtFZWUlSktLzfK3tWeWl5eHS5cuYdCgQXB0dISjoyP27duHlStXwtHREd7e3nxOAHx8fNCnTx+ztODgYBQWFgL43/vm2/r/B5999lnMmDED48ePR//+/fF///d/SElJQVpaGgA+J2obWl2Q4OTkhNDQUGRnZ0tpJpMJ2dnZ0Ol0LdiyliOEQHJyMj744APk5OQgMDDQ7HxoaCjatWtn9swKCgpQWFjYpp7Z6NGjpdeq1h5hYWGIi4uT/s3nBAwdOrTOEtpvvvkG3bp1AwAEBgZCq9WaPafy8nLk5ua2qed0/fp1KJXm/4l0cHCAyWQCwOdEbURLz5y0ZPv27UKlUolNmzaJU6dOicTEROHu7i4MBkNLN61F/O1vfxMajUbs3btXXLx4UTquX78u5XnyySeFv7+/yMnJEYcPHxY6nU7odLoWbHXrcPPqBiH4nIS4sTzU0dFRLFq0SJw5c0Zs3bpVtG/fXrzzzjtSnsWLFwt3d3fxz3/+U/znP/8R999/f5tb2hcfHy+6dOkiLYH8xz/+ITp16iSee+45KQ+fE/3etcogQQghVq1aJfz9/YWTk5MIDw8XX331VUs3qcXAwrvFccv7xX/55Rfx1FNPiY4dO4r27duLBx54QFy8eLHlGt1K3Bok8Dnd8NFHH4l+/foJlUolgoKCxLp168zOm0wmMXv2bOHt7S1UKpUYPXq0KCgoaKHWtozy8nLx9NNPC39/f+Hs7Cy6d+8uXnzxRVFRUSHl4XOi3zuFEDdtH0ZERET0q1Y3J4GIiIhaBwYJREREZBGDBCIiIrKIQQIRERFZxCCBiIiILGKQQERERBYxSCAiIiKLGCQQERGRRQwSiIiIyCIGCURERGQRgwQiIiKy6P8BYwe4yGYnlZUAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.imshow(inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"])\n", + "plt.title(\"inlier branch change\")\n", + "plt.colorbar()\n", + "plt.figure()\n", + "plt.imshow(\n", + " outlier_tele_scores[jnp.argmax(scores)] - logpdf_gt[\"outlier_teleport_score\"]\n", + ")\n", + "plt.title(\"teleport outlier branch change\")\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(6.213486e-07, dtype=float32)" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.max(inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(-4.306104e-05, dtype=float32)" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.min(inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(0., dtype=float32)" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.max(outlier_tele_scores[jnp.argmax(scores)] - logpdf_gt[\"outlier_teleport_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "inlier branch change: 7.2808194e-05\n", + "outlier teleport branch change: 0.0\n", + "outlier nonteleport branch change: 6.714018e-06\n" + ] + } + ], + "source": [ + "print(\n", + " \"inlier branch change:\",\n", + " jnp.sum(inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"]),\n", + ")\n", + "print(\n", + " \"outlier teleport branch change:\",\n", + " jnp.sum(\n", + " outlier_tele_scores[jnp.argmax(scores)] - logpdf_gt[\"outlier_teleport_score\"]\n", + " ),\n", + ")\n", + "print(\n", + " \"outlier nonteleport branch change:\",\n", + " jnp.sum(\n", + " outlier_no_tele_scores[jnp.argmax(scores)]\n", + " - logpdf_gt[\"outlier_no_teleport_score\"]\n", + " ),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Pixels where inlier score is lower under ray likelihood argmax than GT')" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cam_rgb, _ = renderer.render_attribute(\n", + " (camera_pose.inv() @ test_poses[jnp.argmax(scores)])[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "plt.figure()\n", + "plt.imshow(\n", + " ((inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"]) > 0)[..., None]\n", + " * cam_rgb\n", + " * 0.7\n", + " + cam_rgb * 0.3\n", + ")\n", + "plt.title(\"Pixels where inlier score is higher under ray likelihood argmax than GT\")\n", + "plt.figure()\n", + "plt.imshow(\n", + " ((inlier_scores[jnp.argmax(scores)] - logpdf_gt[\"inlier_score\"]) < 0)[..., None]\n", + " * cam_rgb\n", + " * 0.7\n", + " + cam_rgb * 0.3\n", + ")\n", + "plt.title(\"Pixels where inlier score is lower under ray likelihood argmax than GT\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Pixels where teleport outlier score is lower under ray likelihood argmax than GT')" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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atcsyf+TIkSYsLMz8+OOPhR6LfcxuueUWU69evULXCaao57Axgb//N954w0gyzzzzjG9ebm6uadOmjZFk5s6da1lXknnssccs+7/iiitMo0aNfNNnck7Zx7Yg1atXD/qatI9lUcckKyvLVKxY0TRs2NDSbvbs2UbSBXlN5x1XQeNgf28wxpj27dubmjVr+qZzc3NNlSpVzG233WZp9/TTTxuXy2X27NlT6P6DvS9IMmPHjvVN571HHDp0yOzYscMkJiaaq666yvz666++NqdzTti3H+x9JW9cPvroI9+8gwcPGo/HYx566CHfvKK+5z7zzDNGklmwYIGvXVZWlmnWrJmJiYkx6enpxhhj3nrrLSPJTJkyxdcuJyfHtGrVKuC8CCYjI8O3zzx79+41Ho/Hcv4U9jegQYMGpkqVKubYsWO+eR9++KGRZPld7d2710gyFSpUMEePHvXNHzVqlJFkLr/8cl9sYowxPXv2NJGRkSYjI8M3L9hrbODAgaZEiRKWdrm5uaZly5YmPj7eHD582AwaNMiEh4cXKV4ZNGhQwN8Y//6XK1fO8lp6++23jSSzbNmyQvv5yiuvBLxG8l6rd911l6XtrbfeasqVK1doP/P26/+eaMwffzsOHTpk+fEf11MdZ1GdUWpB27ZtVaFCBVWtWlU9evRQTEyMlixZUuCnHkmqX7++xo0bp3//+99q3769Dh8+rPnz5/sS4z///HPt3r1bt99+u44cOaLDhw/r8OHDOn78uK6//np99NFHBd5mybtyuHz58qC3iQpSoUIFpaSk6KOPPpIkrV+/XmFhYRoxYoRSU1O1e/duSX9ckW3ZsmXAJ5e+fftaLqG3atVK0h+fLM/0mO655x7L9Jtvvimv16vu3bv71j98+LASEhJUu3ZtffDBB0U+3nO13cWLFysuLk433HCDZd1GjRopJiYmYN3ExETLFdXY2Fj16tVLn332mQ4cOCDpj6T2Jk2aWNIpYmJiNGDAAH3//ffavn27ZZu9e/c+q1y4X375RZ9//rn69OmjsmXL+uZfdtlluuGGG/TOO++c8bbP1OLFi1WnTh2lpKRYxjUvdcc+rq1bt1bdunVPud2inB9vvPGGXC5X0KtQea/7vDEZNmyYZflDDz0kSQG3JJOSktS+ffuAY2zVqpXKlCljOca2bdsqNzfXdy4WVenSpfXTTz8F3E4rqlOdw8G8++67ioiI0N133+2b53a7fVf6grGf161atbLs43TPqWBje66cakw+/fRTHTx4UPfcc4+lXd4tZX/n6zWdp6Bx8H9vSEtL0+HDh9W6dWvt2bNHaWlpkv74nd1xxx1aunSpjh075mu/cOFCNW/eXElJSUXux6l89dVXat26tWrUqKH3339fZcqU8S071+eEJNWtW9f3e5P++Ft36aWXWl5zRX3Pfeedd5SQkKCePXv62kVERGjIkCH6/ffftWbNGl+78PBwy12GsLAw3X///UXqs8fj8eW45ubm6siRI4qJidGll16qrVu3BrS3/w3Yv3+/tm3bpl69elmuCrZu3VoNGjQIus9u3bpZXrNNmzaV9EcOp/+X9po2baqsrCz9/PPPvnn++z527JgOHz6sVq1a6cSJE/rmm298y9xut+bNm6fff/9dHTp00IwZMzRq1CjfXa6zcdttt1leS8Hev/z7mZGRocOHD+vqq6+WpKDjGuy96siRI77UjWDyltmvxqalpalChQqWn88//7yIR1d0Z5Ra8Nxzz+mSSy5ReHi44uPjdemllxYpyXrEiBFatGiRNm/erIkTJ1resPKCxsJuQ6SlpVl+aXlat26tLl26aNy4cZo6daquvfZaderUSbfffvspv83ZqlUr3x/otWvXqnHjxmrcuLHKli2rtWvXKj4+Xl988UXQ25TVqlWzTOf1LS+n7UyOyf7muXv3bhljVLt27aDrn+kXUc5mu7t371ZaWpoqVqwYdPnBgwct07Vq1Qr4EHDJJZdI+iNXKSEhQT/88IPvTcRfXmrADz/84Ev/kALH6XT98MMPkhT0lmydOnW0YsWKC/5lu927d2vHjh2+1A87+7gWdQyKcn589913SkxMtAT1dj/88IPcbrdq1aplmZ+QkKDSpUv7xrSw/u3evVtffvllkY/xVB555BG9//77atKkiWrVqqV27drp9ttvV4sWLYq0/qnO4WB++OEHVapUSSVKlLDMt49Lnrx8Y/t+/PdxuufUuQyy7E41Jnm/Z/t7R0REhGrWrGmZd75e06dqv379eo0dO1YbNmwIyO9LS0vzBS+9evXS5MmTtWTJEvXq1Us7d+7Uli1bNGvWrNPqx6ncdNNNio+P14oVKwL+2J/rc0IK/B1Kga+5or7n/vDDD6pdu3bA33j/dnn/VqpUKeD4ipr2kpejP2PGDO3du9eSaxosbdH+u8/rR7DzsFatWkGDNvs45b0u/NNj/Of7j9/XX3+tf/zjH1q9enVAkJf3YSlPcnKy7zsr9evX1+jRowP6ciaK8v7166+/aty4cVq0aFHAa8nez1NtMzY2Nmg/SpUqJUn6/fffLfNjYmK0cuVKSX9UnMlLuTjXziiQbdKkyRl9mtizZ48vuNu2bZtlWd6VySeeeEINGzYMun5BuRd5hc03btyoZcuWacWKFbrrrrv01FNPaePGjYXmbLRs2VJz5szRnj17tHbtWrVq1Uoul0stW7bU2rVrlZiYKK/Xa/l0m6egb4ua/5/beibHZL/K6PV65XK59L///S/o/s40H+Vstuv1elWxYkUtXLgw6PKC3pDPpQv5zeRgCfaSAr6sc7a8Xq8aNGigp59+Ouhy+5trUcfgbM6PgrZXFMH65/V6dcMNN+jhhx8Ouk7eB5yiqlOnjnbu3Knly5fr3Xff1RtvvKEZM2ZozJgxGjdu3CnXP9U5fC4U5Vvlp3tOnc7rv7DXb7C+ncsxOV+v6cLaf/fdd7r++uuVkpKip59+WlWrVlVkZKTeeecdTZ061XIXrG7dumrUqJEWLFigXr16acGCBYqMjFT37t1Pqx+n0qVLF82fP18LFy7UwIEDLcvO9TkhXZjX9bk2ceJEjR49WnfddZfGjx+vsmXLyu12a+jQoUHvxp6LvwEFjdOpxu/o0aNq3bq1YmNj9dhjjyk5OVlRUVHaunWrHnnkkaD9zSsduH//fh05ckQJCQnnrf/+v+fu3bvr448/1ogRI9SwYUPFxMTI6/XqL3/5S9B+nslrJyUlRdIfdx78hYeHq23btpKkn376qfCDOQsXrOCd1+tVnz59FBsbq6FDh/rqbXbu3FlS/pdiYmNjfQd+uq6++mpdffXVmjBhgl5++WXdcccdWrRokfr371/gOnkB6sqVK/XJJ59o5MiRkv74YtfMmTOVmJiokiVLqlGjRqfdn3NxTMnJyTLGKCkp6Yze0Ar6I3Y2201OTtb777+vFi1aFOnN5Ntvv5UxxtKXXbt2SZLvyxzVq1fXzp07A9bNu0VTvXr1U+6nqAGW//YK2mf58uV9V2PLlCkT9Ju39iuQp9sHu+TkZH3xxRe6/vrrz2o7BSns/EhOTtaKFSv066+/FnhVtnr16vJ6vdq9e7flS3Spqak6evRokX5HycnJ+v3338/4fAimZMmSuu2223TbbbcpKytLnTt31oQJEzRq1KjzUg6pevXq+uCDD3TixAnLVdlg3+wvqtM9p05HYa9f+xXUosj7Pe/evduXIiBJ2dnZ2rt3r+/Lu9L5f00Hs2zZMmVmZmrp0qWWq0sFpUv16tVLw4YN0y+//KKXX35ZHTt2DHrn72w88cQTCg8P13333adSpUpZ7vCdj3OiKIr6nlu9enV9+eWX8nq9lquywdqtWrVKv//+u+XDcbB9BPP666/ruuuu0wsvvGCZf/ToUd8XlU91PFLw8/Bszs1gPvzwQx05ckRvvvmm5UvgeZWb7GbNmqWVK1dqwoQJmjRpkgYOHKi33377lPs523Pmt99+06pVqzRu3DiNGTPGNz/vguK5cumll6p27dp666239Mwzz1zwsqEXrOja008/rY8//lizZ8/W+PHj1bx5c917772+R/c1atRIycnJevLJJwMuT0vSoUOHCtz2b7/9FvBpIe8KqL3Ei11SUpIqV66sqVOnKjs723dLslWrVvruu+/0+uuv6+qrrz6jItdnc0x5OnfurLCwMI0bNy7gGI0xASU07PJeUPY/ZGez3e7duys3N1fjx48PWJaTkxOwr/3791u+0Z6enq4XX3xRDRs29H0q/etf/6rNmzdrw4YNvnbHjx/X7NmzVaNGjSLlzRV0rMFUqlRJDRs21Pz58y3tv/rqK7333nv661//6puXnJystLQ0ffnll755v/zyS8C39PP6cKZPUevevbt+/vlnzZkzJ2DZyZMndfz48TPablHOjy5dusgYE/QqZt66eWNi/xZ13tW2jh07nrIv3bt314YNG7RixYqAZUePHlVOTs4pt+HP/jqNjIxU3bp1ZYw5rXz509G+fXtlZ2dbfk9er9dXKudMnO45dTqSk5O1ceNGZWVl+eYtX768SGX2gmncuLEqVKigWbNmWbY5b968gH6er9d0YfKuKPm/5tPS0jR37tyg7Xv27CmXy6UHHnhAe/bsOeNaloVxuVyaPXu2unbtqt69e2vp0qW+Zef6nCiqor7n/vWvf9WBAwf06quv+trl5ORo+vTpiomJUevWrX3tcnJyLGXOcnNzNX369CL1JywsLOB9avHixZa81MIkJiaqfv36evHFFy1/b9esWRNwB/hsBXuNZWVlacaMGQFt9+7dqxEjRqhLly76+9//rieffFJLly4NWg7N7nT+phW1n1Lge/i58Oijj+rw4cO6++67g773ns+7ARfkiuyOHTs0evRo9enTRzfddJOkP970GjZsqPvuu0+vvfaa3G63/v3vf6tDhw6qV6+e+vbtq8qVK+vnn3/WBx98oNjYWC1btizo9ufPn68ZM2bo1ltvVXJyso4dO6Y5c+YoNjbWEpAUpFWrVlq0aJEaNGjg+yR+5ZVXqmTJktq1a1eRyvgEczbHlCc5OVn//Oc/NWrUKH3//ffq1KmTSpUqpb1792rJkiUaMGCAhg8fXuD6eVeS/+///k89evRQRESEbrrpprPabuvWrTVw4EBNmjRJn3/+udq1a6eIiAjt3r1bixcv1r/+9S917drV1/6SSy5Rv3799Mknnyg+Pl7/+c9/lJqaavnDMnLkSL3yyivq0KGDhgwZorJly2r+/Pnau3ev3njjjSLlYDds2FBhYWGaPHmy0tLS5PF4fLUkg3niiSfUoUMHNWvWTP369fOV37LXu+vRo4ceeeQR3XrrrRoyZIhOnDihmTNn6pJLLgnIu2rUqJHef/99Pf3000pMTFRSUlLQPLRg7rzzTr322mu655579MEHH6hFixbKzc3VN998o9dee81XL/N0FeX8uO6663TnnXdq2rRp2r17t++209q1a3Xddddp8ODBuvzyy9W7d2/Nnj3bd2tt8+bNmj9/vjp16qTrrrvulH0ZMWKEli5dqhtvvNFXDuj48ePatm2bXn/9dX3//fdFuvqSp127dkpISFCLFi0UHx+vHTt26Nlnn1XHjh19eVvnWqdOndSkSRM99NBD+vbbb5WSkqKlS5f66kyeyVWU0z2nTkf//v31+uuv6y9/+Yu6d++u7777TgsWLDit0nD+IiIi9M9//lMDBw5UmzZtdNttt2nv3r2aO3duwBXe8/WaLky7du0UGRmpm266SQMHDtTvv/+uOXPmqGLFivrll18C2ufVS168eLFKly5dpA9kZ8LtdmvBggXq1KmTunfvrnfeeUdt2rQ55+dEURX1PXfAgAF6/vnn1adPH23ZskU1atTQ66+/rvXr1+uZZ57xnWc33XSTWrRooZEjR+r777/31QsPlocZzI033qjHHntMffv2VfPmzbVt2zYtXLjwtO4aTJw4UbfccotatGihvn376rffftOzzz6r+vXrB72YdKaaN2+uMmXKqHfv3hoyZIhcLpdeeumloBeF7rrrLkVHR/sC/IEDB+qNN97QAw88oLZt2waUFfOX9/d7yJAhat++vcLCwtSjR48i9zM2NlbXXHONpkyZouzsbFWuXFnvvfdegVeOz8btt9+ur776SpMmTdLmzZvVo0cPJSUl6fjx4/rqq6/0yiuvqFSpUuf8boekMyu/daqyEf5lSXJycsxVV11lqlSpYilzYUx+WZdXX33VN++zzz4znTt3NuXKlTMej8dUr17ddO/e3axatSqgH3klR7Zu3Wp69uxpqlWrZjwej6lYsaK58cYbzaefflqk43ruueeMJHPvvfda5rdt29ZIsuzbmPzyH4sXL7bMzyuJYS8zUpRj8i/TEswbb7xhWrZsaUqWLGlKlixpUlJSzKBBg8zOnTtPeXzjx483lStXNm63O6BUS1G2W1D5qdmzZ5tGjRqZ6OhoU6pUKdOgQQPz8MMPm/379/vaVK9e3XTs2NGsWLHCXHbZZcbj8ZiUlJSAsTPGmO+++8507drVlC5d2kRFRZkmTZqY5cuXW9oUNPZ55syZY2rWrGnCwsKKVIrr/fffNy1atDDR0dEmNjbW3HTTTWb79u0B7d577z1Tv359ExkZaS699FKzYMGCoOW3vvnmG3PNNdeY6OhoI8lX9qgo5beM+aOszeTJk029evWMx+MxZcqUMY0aNTLjxo0zaWlpvnaSzKBBgwo9tjxFPT9ycnLME088YVJSUkxkZKSpUKGC6dChg9myZYuvTXZ2thk3bpxJSkoyERERpmrVqmbUqFGWcjPG5P/egzl27JgZNWqUqVWrlomMjDTly5c3zZs3N08++aTJysoq9FjsY/b888+ba665xnduJScnmxEjRljGKpjTOYeDvf4PHTpkbr/9dlOqVCkTFxdn+vTpY9avX28kmUWLFlnWLVmyZMD+g712jDm9c+p0PPXUU6Zy5crG4/GYFi1amE8//bTA8ltFfV+bMWOGSUpKMh6PxzRu3Nh89NFHF+w1bUzh47B06VJz2WWXmaioKFOjRg0zefJk85///CdoKUJjjHnttdeMJDNgwIAi7/90y2/lOXHihGndurWJiYkxGzduNMYU/Zywb7+g8lvBxiXY76Yo77nGGJOammr69u1rypcvbyIjI02DBg2CltM6cuSIufPOO01sbKyJi4szd955p/nss8+KXH7roYceMpUqVTLR0dGmRYsWZsOGDUV+neZZtGiRSUlJMR6Px9SvX98sXbrUdOnSxaSkpPja5L2mn3jiCcu6BW07WOyzfv16c/XVV5vo6GiTmJhoHn74YbNixQrL3528GMe//KQxxvz4448mNjbW/PWvfy10THJycsz9999vKlSoYFwul+89o6D+GxP4Gvnpp5/MrbfeakqXLm3i4uJMt27dzP79+4v0WvU/9mDnTTAffvih6dq1q6lUqZKJiIgwsbGxpnHjxmbs2LHml19+CbrO2ZbfchlTjLO/4Xg1atRQ/fr1tXz58lB3BTiv3nrrLd16661at25dkasmoHh4++231alTJ3300UdBv9gLZ2vYsKEqVKjg+wY9/lx4MDEAnKaTJ09apvNyAWNjY3XllVeGqFc4U3PmzFHNmjUtNVXhPNnZ2QE5xR9++KG++OKLgEdb48/jglUtAIA/i/vvv18nT55Us2bNlJmZqTfffFMff/yxJk6ceEFLw+HsLFq0SF9++aX++9//6l//+tcFq6yA8+Pnn39W27Zt9be//U2JiYn65ptvNGvWLCUkJAQU+sefB4EsAJymNm3a6KmnntLy5cuVkZGhWrVqafr06Ro8eHCou4bT0LNnT8XExKhfv3667777Qt0dnKUyZcqoUaNG+ve//61Dhw6pZMmS6tixox5//PGgD1XAnwM5sgAAAHAkcmQBAADgSASyOGvPPfecatSooaioKDVt2lSbN28OdZcAAMBFgNQCnJVXX31VvXr10qxZs9S0aVM988wzWrx4sXbu3FnggwjyeL1e7d+/X6VKleJLFgDgQMYYHTt2TImJiUV6cA1wrhHI4qw0bdpUV111lZ599llJfwSnVatW1f3336+RI0cWuu5PP/2kqlWrXohuAgDOo3379qlKlSqh7gYuQnx8whnLysrSli1b1LZtW988t9uttm3bWp7fnSczM1Pp6em+Hz5DAcCfw/l6JDRwKgSyOGOHDx9Wbm6u4uPjLfPj4+N14MCBgPaTJk1SXFyc76datWoXqqsAgPOI9DCECoEsLphRo0YpLS3N97Nv375QdwkAADgYD0TAGStfvrzCwsKUmppqmZ+amqqEhISA9h6PRx6P50J1DwAA/MlxRRZnLDIyUo0aNdKqVat887xer1atWqVmzZqFsGcAAOBiwBVZnJVhw4apd+/eaty4sZo0aaJnnnlGx48fV9++fUPdNQAA8CdHIIuzctttt+nQoUMaM2aMDhw4oIYNG+rdd98N+AIYAADAuUYdWYRMenq64uLiQt0NAMBZSktLU2xsbKi7gYsQObIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkEdSkSZN01VVXqVSpUqpYsaI6deqknTt3WtpkZGRo0KBBKleunGJiYtSlSxelpqaGqMcAAOBiQyCLoNasWaNBgwZp48aNWrlypbKzs9WuXTsdP37c1+bBBx/UsmXLtHjxYq1Zs0b79+9X586dQ9hrAABwMXEZY0yoO4Hi79ChQ6pYsaLWrFmja665RmlpaapQoYJefvllde3aVZL0zTffqE6dOtqwYYOuvvrqgG1kZmYqMzPTN52enq6qVatesGMAAJwfaWlpio2NDXU3cBHiiiyKJC0tTZJUtmxZSdKWLVuUnZ2ttm3b+tqkpKSoWrVq2rBhQ9BtTJo0SXFxcb4fglgAAHA2CGRxSl6vV0OHDlWLFi1Uv359SdKBAwcUGRmp0qVLW9rGx8frwIEDQbczatQopaWl+X727dt3vrsOAAD+xMJD3QEUf4MGDdJXX32ldevWndV2PB6PPB7POeoVAAC42HFFFoUaPHiwli9frg8++EBVqlTxzU9ISFBWVpaOHj1qaZ+amqqEhIQL3EsAAHAxIpBFUMYYDR48WEuWLNHq1auVlJRkWd6oUSNFRERo1apVvnk7d+7Ujz/+qGbNml3o7gIAgIsQqQUIatCgQXr55Zf19ttvq1SpUr6817i4OEVHRysuLk79+vXTsGHDVLZsWcXGxur+++9Xs2bNglYsAAAAONcov4WgXC5X0Plz585Vnz59JP3xQISHHnpIr7zyijIzM9W+fXvNmDGjyKkF6enpiouLO1ddBgCECOW3ECoEsggZAlkA+HMgkEWokCMLAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwpPBQdwDAxa2mO8wyHR4ba5nOPXHCMp1ljN//vZZlEZGRlulMl8v3f5es3G7b5/iI/LfDE5mZlkVhfvuUpOhc6379W2fb9mPCrW+zlTOz8vdj68PhcGsvo0z+dOks65YzwqxtS4VZ92P8xuL4yQzLMvvxuPymXWHW34fHNp19Mv/3sce2HQC40LgiCwAAAEcikAUAAIAjEcgCAADAkciRBRBSEdHRlmlz8qS1gcuaCxrhzc9PDbflqiojyzLpDsv/rB7j8ViWebNzrasez8/9jPNEWbcTEWGZzsq25px6cnPyJ2xpo95Ma5/813TZcmQrhVn76PbLT80Mt2441nY8uV7rWPjvNyzbml8bkC/sN8YR9u3a8msjIvOXlw+35fget+YzA8D5xhVZAAAAOBKBLAAAAByJQBYAAACORI4sgJDaefx3y3S9UnGWaVtpVeX61VP15ljzXF22urJRnvxaqvb6qC5bMmt4Vv6OwsKtbcNstWDdtrzeXL+6s9n2GrQBGal+27HVfg2z9VF+/bBlA1vGQZIiS1j75PVb15VhzXO1b8vlV8s3LNqaH5xry6/dmem3LeuhAsAFxxVZAAAAOBKBLAAAAByJQBYAAACORI4sgGLFG2HLR8215sG6/fJVjT3/NNJaA9UVVyZ/vSxrfdrczBxrW7+aszm2/FNXuLWOrHFb95vjlxdrz4i1T/tn5npzrX2IjIyxTGf51dS1j4Od8Vpzfo1fnVz7OBXWxzDbsYZHWqeVRWIsgOKDK7IAAABwJAJZAAAAOBKpBQCKFfubktd2I9z43Y4PSC2w3fZ2ZeQ/MtWEWT+3G9ujZC23121tvVnWx8zKXsrLb2X7dm2TMn5z7OW3cmylrozXLz0gx54KYSvVZUt3sLcvrFeWMbU/zta+HwAoRrgiCwAAAEcikAUAAIAjEciiSB5//HG5XC4NHTrUNy8jI0ODBg1SuXLlFBMToy5duig1NTV0nQQAABcVcmRxSp988omef/55XXbZZZb5Dz74oP773/9q8eLFiouL0+DBg9W5c2etX78+RD3Fn0GO7RGvblv5J69fGSq37dGx3hxrLqvJzX8Yq7E9mNVlS6/1RuTvx9gSXcOjIi3TuZm2/Vja2zZs25G1qXWZfT9uv7zXzKx062Zly9P12h88W5iCi4K53LbrG/akXwAoRrgii0L9/vvvuuOOOzRnzhyVKZNfkzMtLU0vvPCCnn76abVp00aNGjXS3Llz9fHHH2vjxo1Bt5WZman09HTLDwAAwJkikEWhBg0apI4dO6pt27aW+Vu2bFF2drZlfkpKiqpVq6YNGzYE3dakSZMUFxfn+6latep57TsAAPhzI5BFgRYtWqStW7dq0qRJAcsOHDigyMhIlS5d2jI/Pj5eBw4cCLq9UaNGKS0tzfezb9++89FtAABwkSBHFkHt27dPDzzwgFauXKmoqKhzsk2PxyOPx3PqhriouW2PSHXZHjsblpOfC5p78lSPS83P7wwLs+W5Gmueq8vvEa8uW+6tPUvUa5vjn51qvzpgz7d1+eWn2nN87TtyufPzYN0Rtv7nWnNiA/bj/6hfW05voPx1jbFt10uOLIDiiyuyCGrLli06ePCgrrzySoWHhys8PFxr1qzRtGnTFB4ervj4eGVlZeno0aOW9VJTU5WQkBCaTgMAgIsKV2QR1PXXX69t27ZZ5vXt21cpKSl65JFHVLVqVUVERGjVqlXq0qWLJGnnzp368ccf1axZs1B0GQAAXGQIZBFUqVKlVL9+fcu8kiVLqly5cr75/fr107Bhw1S2bFnFxsbq/vvvV7NmzXT11VeHosv4k3CFFV7+KSw6P9Ul59jvtrWt6+bm5JfqCou2bddegcr/ka721AL7bXtbqSt3wMYK3o0/b5b1cbCKtqbxGFd+n3Ntj8mNiLan/Ngf5Zvfx7BIe1qFrRSZ36NwvfaUhdMq6wUAFxaBLM7Y1KlT5Xa71aVLF2VmZqp9+/aaMWNGqLsFAAAuEi5jv9QAXCDp6emKi4sLdTdQzNQvW846w/6FKD+ZBw/b5livSrqj878oFlmqpGVZVvoxy7Txv3pr+4Kj5YtTkrwZGZbpnJPW6cLl99EVbn2ogSeulHU/Jr9txq9HLMvsV2TDIq3T/ldwje0qa2FXZCNiY61tbQ+o2HXiuAC7tLQ0xdpeO8CFwJe9AAAA4EikFgAoVuw5mcaWG5rrdzU0oEyWf56rJPldZZU999N/mSSv380pV651mctWF8sYe+ar/7Strez89mO7MmrPT7XsIcJaliwn13qsYfb9+o2jPb/W3itLOTF7PrD9Wb4AUIxwRRYAAACORCALAAAARyKQBQAAgCORIwugWPHa8lMVZn2bcrnzcza9tnzaiFIxlunc7Pw6rV5b/mzgY2f9thMZYVtoy121pY1GxOZXG4gsW9ay7Pfvv7eu6p9zas8/tU27/asauK3XHdyFpenK+vhbe+UBO1eYf/UE+4aslRUAoDjhiiwAAAAciUAWAAAAjkRqAYBixX633djKTLn8HttqvNY0hKzjJyzTYVGRfm0Lf/ZLmCm4BJXb9uCCbFs5K3Myv49hGScL3Y/xK7nlUphtma0sln+fA8pg2Y7HZUs9sGVHnKJT/ju1LeMRtQCKL67IAgAAwJEIZAEAAOBIBLIAAABwJHJkARQrLlu5LdnKcdnzSC1sObPerPzyW+4oaz6qO8yW9+qXixtuzwt1WduG2R6Nm3U8Py/25IFUW6cKecSrLe/V2B9Zm51/rOH2w7aV45ItB9jyFN2AxOOCH0PrCqjrBQDFF1dkAQAA4EgEsgAAAHAkAlkAAAA4EjmyAIoVr99jZSXJ5S681mph/PNgXfacUlsuqDXv1Z5TatuwLefU8tjZU/TPf2lEqVLWZbaaufKbzglYZp10R9gLx/r30Z4Tax0L/8cC5+ZYNxwwbgBQjPAOBQAAAEcikAUAAIAjEcgCAADAkciRBVCsBNYxteZ35mRm+P4f5omyLMv1WyZJ7khPgduxp7J6c/JzUI3XWs/VHRlp60OWrdP5fbaVcw2oIuufTxvQX1ttW//t2vNaXQE1aAuuDWtfZmQ7Pv/avfYaurL1CQCKEa7IAgAAwJEIZAEAAOBIpBYAKF7sj1O135z3u3dvvzVvZ3nkq62MlD2FweV3W99eQMvYHpMrW+qB/34CH/BacEqDN8uaouCKsqZK+K8akDpwirJY1vaFj2muX2kvtzzWpqdR7gwALjSuyAIAAMCRCGQBAADgSASyAAAAcCRyZAEUM7Z8TnsuqKWslC3P1bYlk+uXu2orX2VPhHX75+baamjZH5vrjrC9dWb45+raS10VVk4sMKO2wLa2cQh8aq79sbP+fbb3ybau/7ZtC43Xlh8MAMUIV2QBAADgSASyAAAAcCQCWQAAADgSObIAihlb3miutWZreHR+rdXsE5mWZfbcT69ffdcw+6NvbfVqc/0eURvhsT6S1l5L1V7DNSw8/63UfzvB+e037BS1YC2PqLVvpvBH+XqzC85tDczM9dtPQJ9OlccLAKHDFVkAAAA4EoEsAAAAHInUAgDFSm629bGtYeER1gZ+ZaZcpygrJf/b/JHWdAFja+3yW25st+3tT2m132z3+u3ndB7o6s2ylvUKi7Adq2Vj1r16c+0pDNbjCy8R7ft/blbhKRjyK7Hlsh+7vS0AFCNckQUAAIAjEcgCAADAkQhkAQAA4EjkyAIoVlxhYYUvDyg75bfMVhYr4FGyfowt8dXtt1+XPSfWVpLKnsfrn2/rOo1yVW77sboKfuSu8VrLkLlt+bSucOu2cv0em2t/TG5hY0hOLAAn4YosAAAAHIlAFgAAAI5EIAsAAABHIkcWQLGSffKkZdpToqRlutBHwNrzXi15pKbQtv61YN2eKGvTgJTSgOfFFtyngFX9Hgdry2sNqOHqn6xr24WxjYM3x/pIWle4/9u7vd6uLWfWkltc+KNvAaA44YosAAAAHIlAFgAAAI5EagGAYsXtsj+K1XbL3K9klT0FwJuZYZ3Oyi+TZX/8q9tWqivHbz/GWEtduYy1rb1EmPHflm3dgIwGv+OzH2vATXz/7RZSmivIYkuqgctlu2ZhS6swfscesF031zsAFF+8QwEAAMCRCGQBAADgSASyAAAAcCRyZAEUK95sa1mp8ChbHuxJ/zzYwj+LW8pv2fNEZctl9frnidoyRQNyWW3r+jc9RbUq/0fjuryF59PaVrTuJzzctrjg8mL2/Fl7W0sObUD1LcpvASi+uCILAAAARyKQBQAAgCMRyAIAAMCRyJEFUMzY8jftdUz9pv3rxP7/hdZ1LZu1bjesZAnLdE7GCb8V7Uml1kmX/VG4lvaFP67W7Vdn1pudbV3m8RS4H3vdW2PPrw3YUX6t24D0WVtT/0fjBuTauk/j8bsAcIFxRRYAAACORCALAAAARyKQBQAAgCORIwugWAmPsuaJBiZ0+n/+Dih6ap3yyyMNqLt68qRlOsx/ubHXmLVO5mZkWGf45ZUGVl21J9jm9zkgyzU31zrtnw98qpzYQsYiIO/V1rbQfFtDjiyA4osrsgAAAHAkAlkAAAA4EqkFAIoVty0FwGu7zW8KuY1vvwme61feKtxWvspe1sv/7rv9VrvlUbeSwiKt0zl+j821P97W3kf//diP1RUWZm3r1w+vLe3AXo4rgN+zcl32lAtbU8vx2dIQyCwAUJxxRRYAAACORCCLAv3888/629/+pnLlyik6OloNGjTQp59+6ltujNGYMWNUqVIlRUdHq23bttq9e3cIewwAAC4mBLII6rffflOLFi0UERGh//3vf9q+fbueeuoplSlTxtdmypQpmjZtmmbNmqVNmzapZMmSat++vTLs3+gGAAA4D1wmsC4LoJEjR2r9+vVau3Zt0OXGGCUmJuqhhx7S8OHDJUlpaWmKj4/XvHnz1KNHj1PuIz09XXFxcee03/jzSYkpZZnO8fugZHJy7c0t3BH5OahhUVHWhbY82Jwsv3xaW1v7E2vtj6jNPPZ7of0oSJit1Jg7MtLWIn/H2SeOW9e1tQ2z5fHmZuc/vjfnhLXUWGFv+pGlrONtzyX+Ju1oIWvjYpWWlqbY2NhQdwMXIa7IIqilS5eqcePG6tatmypWrKgrrrhCc+bM8S3fu3evDhw4oLZt2/rmxcXFqWnTptqwYUPQbWZmZio9Pd3yAwAAcKYIZBHUnj17NHPmTNWuXVsrVqzQvffeqyFDhmj+/PmSpAMHDkiS4uPjLevFx8f7ltlNmjRJcXFxvp+qVaue34MAAAB/agSyCMrr9erKK6/UxIkTdcUVV2jAgAG6++67NWvWrDPe5qhRo5SWlub72bdv3znsMQAAuNhQRxZBVapUSXXr1rXMq1Onjt544w1JUkJCgiQpNTVVlSpV8rVJTU1Vw4YNg27T4/HI4/EEXQYUJCcz0zJd+KNabTVc/XJZc23bsX89wHjzp3MyrV9YdLut9V2Vm2Nd1///Llu9Wtt+/Gu6em05vt5c635d4fn7tdeczc229cG2H69fDd1TfRHC+CUBZ9u+rOnNybE3B4BigyuyCKpFixbauXOnZd6uXbtUvXp1SVJSUpISEhK0atUq3/L09HRt2rRJzZo1u6B9BQAAFyeuyCKoBx98UM2bN9fEiRPVvXt3bd68WbNnz9bs2bMlSS6XS0OHDtU///lP1a5dW0lJSRo9erQSExPVqVOn0HYeAABcFCi/hQItX75co0aN0u7du5WUlKRhw4bp7rvv9i03xmjs2LGaPXu2jh49qpYtW2rGjBm65JJLirR9ym+hKFLCrWWmXO782+A5frfPpSCPg/Vfz75he00tU8gymzDb4hy/tAR7QTCX7RG7/qu6TrEfU8hye8pCYAPLniyLvLKnO+QLs6Uw7M6ypmQAwVB+C6FCIIuQIZBFURDIBkcgi+KEQBahQo4sAAAAHIlAFgAAAI7El70AFGvf5GSdutEZSAmzPQ7Wcvfd/hnfVqrLdsc/wp2/3GN7vK0311Ziy+/Rsa5w62NlTa41DcF4/da1lR2zpx1867UlNZxp0lhW4Y/9BYDihCuyAAAAcCQCWQAAADgSgSwAAAAciRxZABel85V7q+zT2K6tfBgA4PRwRRYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWQeXm5mr06NFKSkpSdHS0kpOTNX78eBljfG2MMRozZowqVaqk6OhotW3bVrt37w5hrwEAwMWEQBZBTZ48WTNnztSzzz6rHTt2aPLkyZoyZYqmT5/uazNlyhRNmzZNs2bN0qZNm1SyZEm1b99eGRkZIew5AAC4WLiM/yU24P+78cYbFR8frxdeeME3r0uXLoqOjtaCBQtkjFFiYqIeeughDR8+XJKUlpam+Ph4zZs3Tz169DjlPtLT0xUXF3fejgEAcGGkpaUpNjY21N3ARYgrsgiqefPmWrVqlXbt2iVJ+uKLL7Ru3Tp16NBBkrR3714dOHBAbdu29a0TFxenpk2basOGDUG3mZmZqfT0dMsPAADAmQoPdQdQPI0cOVLp6elKSUlRWFiYcnNzNWHCBN1xxx2SpAMHDkiS4uPjLevFx8f7ltlNmjRJ48aNO78dBwAAFw2uyCKo1157TQsXLtTLL7+srVu3av78+XryySc1f/78M97mqFGjlJaW5vvZt2/fOewxAAC42HBFFkGNGDFCI0eO9OW6NmjQQD/88IMmTZqk3r17KyEhQZKUmpqqSpUq+dZLTU1Vw4YNg27T4/HI4/Gc974DAICLA1dkEdSJEyfkdltfHmFhYfJ6vZKkpKQkJSQkaNWqVb7l6enp2rRpk5o1a3ZB+woAAC5OXJFFUDfddJMmTJigatWqqV69evrss8/09NNP66677pIkuVwuDR06VP/85z9Vu3ZtJSUlafTo0UpMTFSnTp1C23kAAHBRoPwWgjp27JhGjx6tJUuW6ODBg0pMTFTPnj01ZswYRUZGSvrjgQhjx47V7NmzdfToUbVs2VIzZszQJZdcUqR9UH4LAP4cKL+FUCGQRcgQyALAnwOBLEKFHFkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWQAAADgSgSwAAAAciUAWAAAAjkQgCwAAAEcikAUAAIAjEcgCAADAkQhkAQAA4EgEsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACORCALAAAARyKQBQAAgCMRyAIAAMCRCGQBAADgSASyAAAAcCQCWYSMMSbUXQAAnAO8nyNUCGQRMseOHQt1FwAA5wDv5wgVl+FjFELE6/Vq//79MsaoWrVq2rdvn2JjY0PdrWIrPT1dVatWZZxOgXEqGsapaBinwhljdOzYMSUmJsrt5toYLrzwUHcAFy+3260qVaooPT1dkhQbG8sfiiJgnIqGcSoaxqloGKeCxcXFhboLuIjx8QkAAACORCALAAAARyKQRch5PB6NHTtWHo8n1F0p1hinomGcioZxKhrGCSje+LIXAAAAHIkrsgAAAHAkAlkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpBFyD333HOqUaOGoqKi1LRpU23evDnUXQqZSZMm6aqrrlKpUqVUsWJFderUSTt37rS0ycjI0KBBg1SuXDnFxMSoS5cuSk1NDVGPi4fHH39cLpdLQ4cO9c1jnP7w888/629/+5vKlSun6OhoNWjQQJ9++qlvuTFGY8aMUaVKlRQdHa22bdtq9+7dIezxhZebm6vRo0crKSlJ0dHRSk5O1vjx4+Vf1IdxAoonAlmE1Kuvvqphw4Zp7Nix2rp1qy6//HK1b99eBw8eDHXXQmLNmjUaNGiQNm7cqJUrVyo7O1vt2rXT8ePHfW0efPBBLVu2TIsXL9aaNWu0f/9+de7cOYS9Dq1PPvlEzz//vC677DLLfMZJ+u2339SiRQtFRETof//7n7Zv366nnnpKZcqU8bWZMmWKpk2bplmzZmnTpk0qWbKk2rdvr4yMjBD2/MKaPHmyZs6cqWeffVY7duzQ5MmTNWXKFE2fPt3XhnECiikDhFCTJk3MoEGDfNO5ubkmMTHRTJo0KYS9Kj4OHjxoJJk1a9YYY4w5evSoiYiIMIsXL/a12bFjh5FkNmzYEKpuhsyxY8dM7dq1zcqVK03r1q3NAw88YIxhnPI88sgjpmXLlgUu93q9JiEhwTzxxBO+eUePHjUej8e88sorF6KLxULHjh3NXXfdZZnXuXNnc8cddxhjGCegOOOKLEImKytLW7ZsUdu2bX3z3G632rZtqw0bNoSwZ8VHWlqaJKls2bKSpC1btig7O9syZikpKapWrdpFOWaDBg1Sx44dLeMhMU55li5dqsaNG6tbt26qWLGirrjiCs2ZM8e3fO/evTpw4IBlnOLi4tS0adOLapyaN2+uVatWadeuXZKkL774QuvWrVOHDh0kMU5AcRYe6g7g4nX48GHl5uYqPj7eMj8+Pl7ffPNNiHpVfHi9Xg0dOlQtWrRQ/fr1JUkHDhxQZGSkSpcubWkbHx+vAwcOhKCXobNo0SJt3bpVn3zyScAyxukPe/bs0cyZMzVs2DD9/e9/1yeffKIhQ4YoMjJSvXv39o1FsHPwYhqnkSNHKj09XSkpKQoLC1Nubq4mTJigO+64Q5IYJ6AYI5AFiqlBgwbpq6++0rp160LdlWJn3759euCBB7Ry5UpFRUWFujvFltfrVePGjTVx4kRJ0hVXXKGvvvpKs2bNUu/evUPcu+Ljtdde08KFC/Xyyy+rXr16+vzzzzV06FAlJiYyTkAxR2oBQqZ8+fIKCwsL+CZ5amqqEhISQtSr4mHw4MFavny5PvjgA1WpUsU3PyEhQVlZWTp69Kil/cU2Zlu2bNHBgwd15ZVXKjw8XOHh4VqzZo2mTZum8PBwxcfHM06SKlWqpLp161rm1alTRz/++KMk+cbiYj8HR4wYoZEjR6pHjx5q0KCB7rzzTj344IOaNGmSJMYJKM4IZBEykZGRatSokVatWuWb5/V6tWrVKjVr1iyEPQsdY4wGDx6sJUuWaPXq1UpKSrIsb9SokSIiIixjtnPnTv34448X1Zhdf/312rZtmz7//HPfT+PGjXXHHXf4/s84SS1atAgo37Zr1y5Vr15dkpSUlKSEhATLOKWnp2vTpk0X1TidOHFCbrf1z2FYWJi8Xq8kxgko1kL9bTNc3BYtWmQ8Ho+ZN2+e2b59uxkwYIApXbq0OXDgQKi7FhL33nuviYuLMx9++KH55ZdffD8nTpzwtbnnnntMtWrVzOrVq82nn35qmjVrZpo1axbCXhcP/lULjGGcjDFm8+bNJjw83EyYMMHs3r3bLFy40JQoUcIsWLDA1+bxxx83pUuXNm+//bb58ssvzS233GKSkpLMyZMnQ9jzC6t3796mcuXKZvny5Wbv3r3mzTffNOXLlzcPP/ywrw3jBBRPBLIIuenTp5tq1aqZyMhI06RJE7Nx48ZQdylkJAX9mTt3rq/NyZMnzX333WfKlCljSpQoYW699Vbzyy+/hK7TxYQ9kGWc/rBs2TJTv3594/F4TEpKipk9e7ZludfrNaNHjzbx8fHG4/GY66+/3uzcuTNEvQ2N9PR088ADD5hq1aqZqKgoU7NmTfN///d/JjMz09eGcQKKJ5cxfo8uAQAAAByCHFkAAAA4EoEsAAAAHIlAFgAAAI5EIAsAAABHIpAFAACAIxHIAgAAwJEIZAEAAOBIBLIAAABwJAJZAAAAOBKBLAAAAByJQBYAAACO9P8AB4rgWOu4ThYAAAAASUVORK5CYII=", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.imshow(\n", + " (\n", + " (outlier_tele_scores[jnp.argmax(scores)] - logpdf_gt[\"outlier_teleport_score\"])\n", + " > 0\n", + " )[..., None]\n", + " * cam_rgb\n", + " * 0.7\n", + " + cam_rgb * 0.3\n", + ")\n", + "plt.title(\n", + " \"Pixels where teleport outlier score is higher under ray likelihood argmax than GT\"\n", + ")\n", + "plt.figure()\n", + "plt.imshow(\n", + " (\n", + " (outlier_tele_scores[jnp.argmax(scores)] - logpdf_gt[\"outlier_teleport_score\"])\n", + " < 0\n", + " )[..., None]\n", + " * cam_rgb\n", + " * 0.7\n", + " + cam_rgb * 0.3\n", + ")\n", + "plt.title(\n", + " \"Pixels where teleport outlier score is lower under ray likelihood argmax than GT\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Conclusion: contribution to the score from a single inlier pixel is greater than the the scores summed across the entire mug handle. Can we fix this by tuning the branch parameters? Currently the score of the model with handle out is even higher than GT." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(7, 3))\n", + "plt.plot(b3d.normalize_log_scores(scores))\n", + "plt.scatter(\n", + " jnp.argsort(scores)[::-1][:10],\n", + " b3d.normalize_log_scores(scores)[jnp.argsort(scores)[::-1][:10]],\n", + " color=\"r\",\n", + ")\n", + "plt.title(\"enumerated grid and pdfs\")\n", + "plt.xlabel(\"grid sample\")\n", + "plt.ylabel(\"pdf value\")\n", + "\n", + "plt.figure()\n", + "plt.plot(b3d.normalize_log_scores(scores))\n", + "plt.title(\"total score\")\n", + "plt.xlabel(\"grid_point\")\n", + "plt.ylabel(\"score\")\n", + "\n", + "plt.figure()\n", + "plt.plot(jnp.sum(inlier_scores, axis=(1, 2)), label=\"inlier score\")\n", + "plt.plot(\n", + " jnp.sum(outlier_no_tele_scores, axis=(1, 2)), label=\"outlier no teleport score\"\n", + ")\n", + "plt.plot(jnp.sum(outlier_tele_scores, axis=(1, 2)), label=\"outlier teleport score\")\n", + "plt.title(\"score contribution breakdown\")\n", + "plt.xlabel(\"grid_point\")\n", + "plt.ylabel(\"score (logprob)\")\n", + "plt.legend()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "s_len = len(jnp.sum(inlier_scores, axis=(1, 2)))\n", + "plt.plot(jnp.sum(inlier_scores, axis=(1, 2))[s_len - 100 : s_len + 100])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Inspect masks" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# generate inlier/outlier maps\n", + "\n", + "original_view_im, original_view_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ test_poses[jnp.argmax(scores)])[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "inliers, _, _, teleport_outliers, nonteleport_outliers, _ = (\n", + " RayOutlier.get_rgb_depth_inliers_from_observed_rendered_args(\n", + " gt_img, original_view_im, gt_depth, original_view_depth, model_args\n", + " )\n", + ")\n", + "\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "fig.suptitle(\"Masks (inlier, teleport outlier, nonteleport outlier)\")\n", + "ax1.imshow(inliers)\n", + "ax2.imshow(teleport_outliers)\n", + "ax3.imshow(nonteleport_outliers)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Save drawn ray outlier model samples" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "original_view_images, _ = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "\n", + "b3d.make_gif_from_pil_images(\n", + " [\n", + " b3d.overlay_image(\n", + " Image.fromarray(np.array(original_view_image * 255).astype(np.uint8)),\n", + " Image.fromarray(np.array(gt_img * 255).astype(np.uint8)),\n", + " )\n", + " for original_view_image in original_view_images\n", + " ],\n", + " \"ray_outlier_samples.gif\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [], + "source": [ + "original_view_images, _ = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[jnp.argsort(scores)[::-1][:50]])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "\n", + "b3d.make_gif_from_pil_images(\n", + " [\n", + " b3d.overlay_image(\n", + " Image.fromarray(np.array(original_view_image * 255).astype(np.uint8)),\n", + " Image.fromarray(np.array(gt_img * 255).astype(np.uint8)),\n", + " )\n", + " for original_view_image in original_view_images\n", + " ],\n", + " \"ray_outlier_ranked.gif\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.imshow(\n", + " logpdf_gt[\"inlier_score\"]\n", + " + logpdf_gt[\"outlier_teleport_score\"]\n", + " + logpdf_gt[\"outlier_no_teleport_score\"]\n", + ")\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/notebooks/bayes3d_paper/mug_posterior_peakiness_samples.ipynb b/notebooks/bayes3d_paper/mug_posterior_peakiness_samples.ipynb new file mode 100644 index 00000000..9e40c804 --- /dev/null +++ b/notebooks/bayes3d_paper/mug_posterior_peakiness_samples.ipynb @@ -0,0 +1,589 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d\n", + "import os\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import trimesh\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")\n", + "import rerun as rr\n", + "import matplotlib\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## TODO: 2D grid in orientation and theta on the final pose sample plot" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vertices dimensions : [0.116984 0.09313101 0.081303 ]\n" + ] + } + ], + "source": [ + "image_width, image_height, fx, fy, cx, cy, near, far = (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + ")\n", + "renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far)\n", + "\n", + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "vertices = jnp.array(mesh.vertices)\n", + "\n", + "vertices = jnp.array(mesh.vertices)\n", + "vertices = vertices - jnp.mean(vertices, axis=0)\n", + "faces = jnp.array(mesh.faces)\n", + "vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0])\n", + "vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0\n", + "print(\"Vertices dimensions :\", vertices.max(0) - vertices.min(0))\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0])\n", + ")\n", + "\n", + "cp_to_pose = lambda cp: Pose(\n", + " jnp.array([cp[0], cp[1], 0.0]),\n", + " b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(),\n", + ")\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_object(vertices, faces, vertex_colors)\n", + "\n", + "cps_to_test = [\n", + " jnp.array([0.0, 0.0, jnp.pi]), # Hidden\n", + " jnp.array([0.0, 0.0, -jnp.pi / 2]), # Side\n", + " jnp.array([0.0, 0.0, 0.0]), # Front\n", + " jnp.array([0.0, 0.0, +jnp.pi / 2]), # Side\n", + "]\n", + "\n", + "text_index = 0 # 1\n", + "\n", + "gt_cp = cps_to_test[text_index]\n", + "\n", + "object_pose = cp_to_pose(gt_cp)\n", + "\n", + "gt_rgb, gt_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "gt_depth = jnp.where(gt_depth == 0.0, jnp.ones(gt_depth.shape) * renderer.far, gt_depth)\n", + "gt_img = jnp.concatenate((gt_rgb, gt_depth[..., None]), axis=2)\n", + "\n", + "# higher resolution to capture more posterior spread?\n", + "delta_cps = jnp.stack(\n", + " jnp.meshgrid(\n", + " jnp.linspace(-0.1, 0.1, 60),\n", + " jnp.linspace(-0.1, 0.1, 60),\n", + " jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + " ),\n", + " axis=-1,\n", + ").reshape(-1, 3)\n", + "\n", + "# delta_cps = jnp.stack(\n", + "# jnp.meshgrid(\n", + "# jnp.linspace(-0.02, 0.02, 31),\n", + "# jnp.linspace(-0.02, 0.02, 31),\n", + "# jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + "# ),\n", + "# axis=-1,\n", + "# ).reshape(-1, 3)\n", + "\n", + "cp_delta_poses = jax.vmap(cp_to_pose)(delta_cps)\n", + "\n", + "test_poses = object_pose @ cp_delta_poses\n", + "\n", + "test_poses_batches = test_poses.split(400)\n", + "\n", + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.05,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.05,\n", + " \"outlier_prob\": 0.05,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 100.0, # 100\n", + " \"depth_tolerance\": 0.005, # 0.005\n", + " \"inlier_score\": 1.0,\n", + " \"outlier_prob\": 0.1, # 0.01\n", + " \"multiplier\": 2500.0, # 5000.0\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "num_samples = 500" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'gaussian iid pdf posterior \\npose sample angles')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scores = []\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + " rendered_imgs = jnp.concatenate((rgb_ims, depth_ims[..., None]), axis=3)\n", + "\n", + " scores_batch, _ = gaussian_iid_pix_likelihood_vec(\n", + " gt_img, rendered_imgs, gaussian_iid_pix_likelihood_args\n", + " )\n", + " # scores_batch, _ = threedp3_gmm_likelihood_vec(gt_img, rendered_imgs, threedp3_gmm_likelihood_args)\n", + " # scores_batch, _ = kray_likelihood_intermediate_vec(gt_img, rendered_imgs, kray_likelihood_args)\n", + " scores.append(scores_batch)\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(num_samples,))\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "angles = delta_cps[samples][..., 2]\n", + "\n", + "ax = plt.subplot(1, 1, 1, projection=\"polar\")\n", + "ax.plot(angles, jnp.ones(angles.shape), linestyle=\"None\", markersize=10.0, marker=\".\")\n", + "ax.set_theta_offset(jnp.pi / 2.0)\n", + "plt.title(\"gaussian iid pdf posterior \\npose sample angles\", fontsize=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, '3dp3 pdf posterior \\npose sample angles')" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scores = []\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + " rendered_imgs = jnp.concatenate((rgb_ims, depth_ims[..., None]), axis=3)\n", + "\n", + " scores_batch, _ = threedp3_gmm_likelihood_vec(\n", + " gt_img, rendered_imgs, threedp3_gmm_likelihood_args\n", + " )\n", + " scores.append(scores_batch)\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(num_samples,))\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "angles = delta_cps[samples][..., 2]\n", + "\n", + "ax = plt.subplot(1, 1, 1, projection=\"polar\")\n", + "ax.plot(angles, jnp.ones(angles.shape), linestyle=\"None\", markersize=10.0, marker=\".\")\n", + "ax.set_theta_offset(jnp.pi / 2.0)\n", + "plt.title(\"3dp3 pdf posterior \\npose sample angles\", fontsize=20)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'surface ray (uniform volume outlier) pdf posterior \\npose sample angles')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "scores = []\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + " rendered_imgs = jnp.concatenate((rgb_ims, depth_ims[..., None]), axis=3)\n", + "\n", + " scores_batch, _ = kray_likelihood_intermediate_vec(\n", + " gt_img, rendered_imgs, kray_likelihood_args\n", + " )\n", + " scores.append(scores_batch)\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(num_samples,))\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "angles = delta_cps[samples][..., 2]\n", + "\n", + "ax = plt.subplot(1, 1, 1, projection=\"polar\")\n", + "ax.plot(angles, jnp.ones(angles.shape), linestyle=\"None\", markersize=10.0, marker=\".\")\n", + "ax.set_theta_offset(jnp.pi / 2.0)\n", + "plt.title(\n", + " \"surface ray (uniform volume outlier) pdf posterior \\npose sample angles\",\n", + " fontsize=20,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "alternate_camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.01, 0.000, 0.9]), object_pose.pos\n", + ")\n", + "alternate_view_images, _ = renderer.render_attribute_many(\n", + " (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "original_view_images, original_view_depths = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "rendered_imgs = jnp.concatenate(\n", + " (original_view_images, original_view_depths[..., None]), axis=3\n", + ")\n", + "\n", + "# _, pixel_scores = gaussian_iid_pix_likelihood_vec(gt_img, rendered_imgs, likelihood_args)\n", + "# _, pixel_scores = threedp3_gmm_likelihood_vec(gt_img, rendered_imgs, likelihood_args)\n", + "_, pixel_scores = kray_likelihood_intermediate_vec(\n", + " gt_img, rendered_imgs, kray_likelihood_args\n", + ")\n", + "\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")\n", + "\n", + "for t in range(len(alternate_view_images)):\n", + " rr.set_time_sequence(\"time\", t)\n", + " rr.log(f\"samples/alternate_view\", rr.Image(alternate_view_images[t]))\n", + " rr.log(\n", + " f\"samples/original_view\",\n", + " rr.Image(\n", + " (\n", + " original_view_images[t] * 0.7\n", + " + (gt_img.sum(axis=2) > 0)[..., None] * jnp.ones(3)[None, None, :] * 0.3\n", + " )\n", + " ),\n", + " )\n", + "\n", + " pixel_im = pixel_scores[\"pix_score\"][t]\n", + " cmap = matplotlib.colormaps[\"inferno\"]\n", + " norm = matplotlib.colors.Normalize(vmin=pixel_im.min(), vmax=pixel_im.max())\n", + " rr.log(f\"samples/heatmap\", rr.Image(cmap(norm(pixel_im))))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "alternate_view_image, _ = renderer.render_attribute(\n", + " (alternate_camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "original_view_image, _ = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(-0.5, 99.5, 99.5, -0.5)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure()\n", + "plt.title(\"alternate view of conditioned scene\", fontsize=20)\n", + "plt.imshow(alternate_view_image)\n", + "plt.axis(\"off\")\n", + "\n", + "plt.figure()\n", + "plt.title(\"conditioned image\", fontsize=20)\n", + "plt.imshow(original_view_image)\n", + "plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/noisy_posterior_likelihood.ipynb b/notebooks/bayes3d_paper/noisy_posterior_likelihood.ipynb new file mode 100644 index 00000000..1b5d5a70 --- /dev/null +++ b/notebooks/bayes3d_paper/noisy_posterior_likelihood.ipynb @@ -0,0 +1,1161 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## L2 distance test\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "## posterior grows as object is moved into distance" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0)\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)\n", + "\n", + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in [9]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")\n", + "\n", + "\n", + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.05,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.01,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " #'filter_size': 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0, # 100\n", + " \"depth_tolerance\": 0.01, # 0.005\n", + " \"inlier_score\": 5, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 1.0, # 10000.0\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:68: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:68: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:68: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:68: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_106642/1079516751.py:68: SyntaxWarning: invalid escape sequence '\\s'\n", + " title = \"Posterior conditioned on two mugs: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level)\n", + "/var/tmp/ipykernel_106642/1079516751.py:68: SyntaxWarning: invalid escape sequence '\\s'\n", + " title = \"Posterior conditioned on two mugs: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level)\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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", 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rKSlJbXs0DYRlh1k7OTnl+zFC1syZM+XakjcYl8o7TNDc3Fy4ffu22jYXxKtXr+SGzrZt21ajL8uKzl10dLRgZGQk1tWnTx+l7423b98Knp6ecl8SU1JSFJbN+9p5eXkJaWlpCstmZWUJzZs3F8uOGzdO6THIDpmtX7++EBcXp7BcRkaGwqF/ypR2IJyeni53S4GHh4fSYfjZ2dnCgAED5IJLZUOZZY9L+hkiG9Tl1b9/f7Fshw4dlJZbuHChWM7Z2TlfQJfXhx9+KJbv0qWLwjL79u2Ta+vatWuV1nf69GlBR0dHrrw2AuEjR47I1alq2O3du3fFQEkasCmT9334+eefKy375MkTwcTERCy7devWIh2TojZoEgjn5OTIBUGKfsCQ/az96KOPxP/blP3o1rp1a7H87t27860vrs+jgsj72dWrVy+ltyAEBATIlTUwMBAcHByU/l8SFxcnWFlZieW3bdumsFxxBcJ37tyR+/4xY8YMpfXFxcXlu91KUb2ZmZnijyESiSTfD+DKKHtdBYGBMBUcA2GiYlSQQDjvlyNDQ0O5L4lTpkwR1zk4OAhv375VWd+JEyfk/iNSFOgaGBiI61NTUwt1jFKFCYSXL1+u9ktuXj/88IO4zciRI9W2RdkXMUU0CYQvXbokV/eRI0dU1pmamir3n/PYsWMVlssbCKu6t66wvv76a7lA+8mTJ4Wu6/vvvxfrMjU1FaKiolSWDwsLk+tFV9ZrKPva6erqqu393rZtm1i+Tp06CstcuHBB7tyeOnVKZZ0PHjzId4+hMqUdCP/xxx9iGYlEIly7dk1lnS9fvpT7Memrr75Se1yA8h+dpP7991+5zy5FAcDbt2/lPuPU1SndRvY+/Dt37uQr061bN3F927Zt1dbp7e2t9UC4R48eYn0tWrRQe4/u+vXr5V43ZUGAbDvr16+v9t7uDz74QCyvagRKQRQ0EBYE9fcJL1q0SFwfEBAg9iIquk847/3Bin48Ka7Po4KQ/ezS09NTe798gwYN5M6tstFWUrLfAfKOFpMqrkD4008/FctUr15dbc6Lv/76S20g/Pz5c3G9nZ2dRm1Vh4EwFRSzRhOVovT0dNy9exfLly9H69atxftgAWD27NmoUaOG+Pzw4cPi4w8//BAmJiYq6+7duzcaNGigcHspIyMj8bH0PsyStHPnTvHxxx9/rNE2Y8aMER+fPXtWbXl3d3e0bNmywG1TRvY8Ojs7Y8CAASrLGxkZYdq0aeLzo0ePqrzHCci978rb27tI7VRk9+7d4uMJEybA0dGx0HXJnofhw4fD3t5eZXlXV1d069ZN4fbKdO/ePV/G5bzat28vPo6IiJC7x17RvlxcXNCjRw+VddatWxe9evVS276yQPbYvLy80Lx5c5Xl7ezsMHr0aIXbK9OwYUN06NBBZZn33nsPOjq5XynS09MRERGRr8yJEyfEzzgPDw+1dQKAiYkJBg8eLD7PmxU5KSlJbtmMGTPU1jlr1iy1ZQoiOTkZZ86cEZ/Pnj1bbcZeb29vWFpaAgAEQcDRo0fV7mfixIlq7+mWvR6KkgOhqLy8vMTHiu7TlC4zNjZG69atxazC0vuEZV28eFG8P7h+/fpy/y9KlcTnUUH07NkTNWvWVFnG09NTfFylShUMHTpUZfnWrVuLjzXN/q4tJ06cEB+PHTsWpqamKsv37NlT7cwLst8/Xr16VeCM/YpI85kIgsD7g0kjDISJSkhAQEC+KSeMjIzQsGFDLFiwQC4hUe/evbFs2TLx+ePHj/Hq1Su59Zro16+f+PjKlSv51rdo0UJ8PHbsWFy8eLEgh1QkcXFxckllOnfurNF2Dg4OqFKlCoDc5DSySTQUkf1iqA2y51HTYEn2dUhMTFT7BbVRo0aoWrVq4RqoxMuXL+WSE6n70qVKeno6QkNDxefaej/m9d5776ktI5uUTRAEJCQk5CsTFBQkPlYXBEtpekylTfY8FuZ1uHXrFpKSklSW1+R1kE4bJqUowZpskr8uXbpo0NJcssmT8k45c/XqVbkflpQlIpPl4eEBW1tbjfevTnBwsFwbNHkdjIyM5AKx4rgelCW5Kwmy0+VcuHBBboqz9PR0XL58GUDulEiGhoZy5fMGMLLPFU3DU1KfRwUhG7QqI5vwq0WLFmp/5JAtX5KvbXJystz/WZr8Xy2RSOR+DFHEyspK/KFTEAQMGjSI0yNRiWPWaKIypFq1avjf//6HTz/9VOxdAZAvU7Bshk5VZMspyjb80Ucfib2q9+/fR/v27eHi4oJevXqhY8eO6NChg9JMz0Ulm+VUT09P7RySsmQzTMbGxirMUC1Vt27dwjdSAdnzqOnr0LBhQ+jp6Ym9Gg8ePEDjxo2Vltd2m4H8PQiyP4IU1NOnT+V6XgvzfoyJiUFiYiIsLCyUlleUGTavvCMjUlJS8pWRfc0UZaRVpEmTJhqVK01ZWVlihlSgcK9DTk4OIiIi0LRpU6XlNXkdAPnXQtHrEB4eLj4+fvy4xl96ZX/syjuvsOxra2dnp1EmeSD39ZX9cbEoZNtga2urcZDt5uaGAwcO5KtDmYJeD4peg5Li5uaGqlWr4vXr10hISMC1a9fEkTmXL18WP8OlgW3Hjh0hkUjEnjzZXnt1gXBJfR4VhCb/b8q+Vpq8Z0rrtX327JncDz0NGzbUaLtGjRqpLfPxxx+L2aWvXLmCpk2bolmzZujRowc6duyIdu3awcrKqnANJ9IAA2GiEmJlZSU3FArInVrD0tIStWvXRps2bdC1a1cYGhrm21b2119jY2ONp/6Q/VKYkJAAQRDkhuwNHDgQ33//Pb766ivxP7r79+/j/v37+PXXXwHkflkYPnw4Jk+erHBIWmHJTtmUlZUlN0VHQSjqAZSlyXRFBSH7Wmjaa6unp4cqVaqIX+Kl00wpo+02A5Abdm9kZAQzM7NC15W3N0LT85A3SImPj1f5xTPv9GGakP64knc/Upq2Vds98sVBm6+DKtp6HWSv+Tt37hRq6G7e670wr21By6pTmM8EQP51UPcaAAV/HRS9BiVFIpGgY8eOOHToEIDcYFYaCMsGttLeRWtrazRt2hTXr1/HuXPnxP+r3r59i+DgYLG8okC4pD6PCqKgr1VZfm3znl/piCx1pEP/VZk9ezbu3r2L9evXi8uuX7+O69evY8WKFdDR0UHLli0xcuRITJw4UaM6iQqCQ6OJSkjTpk1x8uRJub8jR45gx44d+Pbbb9GnTx+FQTCQO/RLqiD/YcqWzcnJEecilLVgwQKEhIRg7NixCoOjsLAwLFy4EPXq1cPKlSs13rc60rlHi0rd/bayPevaoI3XQrYORbTd5rz7VPY+K0xdgObnIW85dedBW1TNza1MUc9RSShvr4M2rvm813thXltAu69vSXwmlEfKhjsHBAQAeHd/cN7ysvcJy94f7OLiovDH2PJ2HVQWmvw/JpFIsG7dOgQEBGDw4MH5rsucnBwEBgZi7ty5cHZ2xh9//FFczaVKioEwUTkg+ytocnKyxtvJ3vtnbGys9AtCs2bNsHPnTsTFxeHixYv47rvv0KNHD7lkFikpKfj000+xatWqQhxBfrLHZGpqKia4KOifoh6C4iTbbnX3VsqSLavpL+raJLvPpKSkIvUo5P1VXtPzkLdcSZ0H2V6ewra1LCpvr4Nse1esWFGo6z3v/aOFeW0LWlad8vqZUNxk7xGV3icse3/we++9J/d/kqLAWd2waKD8XQdljez924rkPb/qRmFJaTLKQapjx444ePAg3rx5gzNnzuDrr79Gx44d5e6bjo+Px5gxY3Dw4EGN6yVSh4EwUTlgY2MjPs7OzsaTJ0802u7hw4cK61BGX18fbdu2xRdffIFTp04hNjYWmzZtkhtC9s0332ilZ0f2Hqq3b99qrYe4uMmeR0WZcRWJiYmR+9KlyWuhbbL3F+bk5Mi9Nwoqb/s1PQ+y+9TV1S2xe79k7797/PixRttoekylyczMTO42icK8DkDJvR9lr3lt3Z8r+9o+e/ZM7D1UR5uvr+z5K0gbCvr5XN40bdoU1tbWACDeJ3zlyhWkpqYCyB/YSu8TBgoWCJe3z6PilPfHbkWjwPJSl3irZs2acrdUaXpLQ2FufTAyMkLXrl3x7bffIiAgANHR0fjhhx/k7o/+3//+V+B6iZRhIExUDjRt2lTul9HAwECNtpPNhOnh4VHg/ZqammLKlCnYt2+fuCwpKUn8RV+W7DAoTXobmzVrJvclXttZO4uL7HkszOsgkUjg7u6u9Xap4+bmJvdl4ty5c4Wuy87OTm56ksKcBzc3N+jr6xe6DQUhe741baum5TSRd4igNu/vK8yxyb4OVlZWaqc50ZY2bdqIjxV9hhSG7PGnp6drNA1cUlKSVqcWkv1MyMjIkMtgrEpRP59LimwQVJD3rvQ+YSl/f3+Vga30PmEg9/MpOTlZ7f3BQPn7PCpOefNLaNIrK5vETlmdslMxajJtIfBuCHxRWFtbY/78+Vi3bp247NGjR0X6IZdIFgNhonLA2NhYLsuv7HywysTHx8PPz098rsmcncp06tRJbnhUdHR0vjKy8wpKf/FXxcDAQO6Lzfbt2wvdvpIkex7//vvvfFlsFdm1a5f42NXVtVSG4Onr68ud7y1bthSpPtnzoMn7MSsrC3v27FG4fXHL+5qp6wHJycmR+/GnqPLOuanJ9aEp2WM7cOCARj1Asu/H9u3bq53zVltkpza6dOmSRpmS1XFxcZHrad67d6/abTQ9TwVpg+yIC02uhzt37uDq1avi85K8HgqqoJ/tsvIOd847f7Cy8jExMdi8ebP4Orm4uKicG7g8fR4VJ3Nzc7mebXU/DGVkZOCvv/5SW2+fPn3Ex7t27VKbtfrvv//W6qiLQYMGyT1X9B2EqDAYCBOVExMnThQfHzp0SO2v3gsXLhSnqDAwMMDYsWPl1hfkl/309HS5L47S4W6yZL8IavoF95NPPhEf//777/nu/yuLRo4cKfasZmRkYNGiRSrLBwUFyQVVkyZNKs7mqSQ7Jcnly5exdevWQtcl+34MCQnB/v37VZZfvXo1nj17Jj4vyfMwYsQIcchgWloalixZorL81q1b8ejRI63tv0qVKnL322sjAJTy9vYWH798+RKrV69WWf7AgQNyPWEl+Tp4enqibdu2AHJv8Zg5c6baZHfqSCQSuc+2devW4fnz50rLa/L6F4bs67Bx40a1t6/Mnz9ffGxrays3p21ZU5jPdinZQPj8+fPiSIC2bdsqzFkhW/7HH38UH6ubk7Y8fR4Vt+bNm4uP1f2g9+uvv2oUVE6ePFn8wezFixf4/PPPlZZNSEjAnDlz1NZZkO8gee/nVvQdhKgwGAgTlRNjx46Fk5MTgNz/QIYOHYp79+4pLLt+/XqsXbtWfD5lypR88xRGRkaiQ4cOOHbsmNp72r755hvxF2ADAwO5IY5SskP79u7dq/LLqFT37t3Ru3dvALlfjAcNGqRRIoyIiAh8+umn+O6779SW1bYqVapgxowZ4vN169bJDduSde/ePQwZMkT8sm9vby/3hbmk9e7dW5yuBACmT5+Obdu2qdzm/v378PX1zbe8e/fuctOBTZo0Cf/995/COo4cOYIFCxaIz/v164dmzZoVsPWFV7VqVXz44Yfi81WrVikdgeDv7y/Oa6kturq6cvP0rlmzpsgBoFSDBg3k5uD+4osvcPjwYYVlL1++LBcwNGvWrMQDsB9//FG8zeP06dMYMmSI3NReimRkZODgwYNo06aN3BziUnPmzBF/nEpOTsagQYPkpmqSSktLw5gxY7T6I4fUrFmzxFEzKSkp6NevH16+fJmvnCAIWLBgAY4dOyYumz9/fqGmqCopsp/tGzZsKFB2ZTc3N7GHMjExUen9wVKy9wnLBmjqkiKWp8+j4jZ48GDxsY+PDy5evKiw3P79+/HFF19oVGejRo3kPkN//fVXTJ06Nd+IqKtXr6JTp064c+eO2jm9z507h379+sHf319lUJydnS0XeFevXh3169dXWLZ27dqQSCSQSCQlnkiTyifOI0xUTpiYmGDbtm3o0aMHsrOz8ezZMzRv3hyTJ09G165dUaVKFURGRmLXrl34+++/xe1cXFywfPlyhXVeuHABFy5cQLVq1dC3b1+0atUKzs7OsLS0RGpqKm7fvo3du3fLfaGYOXOmwqG9Q4YMwSeffIL09HRERUWhTp068PDwQLVq1cR7JG1tbbF582a57Xbt2gVPT088fPgQCQkJGDp0KFq1aoXBgwejadOmsLS0REpKCl69eoXQ0FAEBASI94199tlnRT2thfLtt9/ixIkTuHXrFoDcL8GHDh3C2LFj4ezsjMTERPz777/YvHmz+AOCjo4Otm7dqrV5Kgvr999/R4sWLfDixQtkZmZi0qRJ2LBhA95//300adIE5ubmiIuLw40bN3Dq1ClcvHgRAwYMwIQJE+TqkUgk8PX1RcuWLZGSkoLExER06NAB48aNQ79+/WBjY4MXL17gwIEDcr0SVatWxaZNm0r4qIHvvvsOR48exdOnTyEIAiZMmIADBw5g5MiRqFmzJmJiYnD8+HHs3LkT2dnZeP/99+WGThbV6NGjxVEcW7duhZ+fH1xdXeWGnY4cORIjR44scN3r1q3D+fPnER0djczMTAwePBhDhw7F0KFD4eDggNjYWJw4cQLbt28Xf/QyMjLCjh07oKurq50D1FC7du2wcuVK8ceGI0eOwMnJCSNHjoSXlxfs7e2hp6eHN2/e4P79+wgODsbJkydVDmevVasWlixZgnnz5gHIHYXh6uqK6dOno3Xr1tDT08ONGzewceNG3Lt3D9bW1vDw8MCZM2e0dlz29vZYs2YNxo8fDyB32rkmTZpg6tSpaN++PUxMTHDv3j1s27ZNrke+ffv2ciNjyqLRo0eLQ85PnjyJGjVqoHnz5nKfZV26dFHYC6ijo4OOHTviyJEjcsuVBSmy8wlrUl6qvH0eFadx48Zh6dKlePXqFTIzM9GtWzfMnDkTXbt2hYmJCSIiIrB//374+flBR0cHo0aN0mg4+YoVK3D58mVxuPXmzZuxbds28f/pJ0+eiPfu1qlTBx999JF4nSv6oUcQBPj5+cHPzw+Ojo7o3bs3WrZsCUdHR5ibmyMpKQlhYWHYvn27OJ0WkDvlY3FMMUiVlEBExWb8+PECAAGA4OXlpZU69+/fLxgYGIj1qvpr2LCh8PTpU4X1REREaFSH7F///v2FtLQ0pW3btGmToKOjo3R7JycnhdtFR0cL7du3L3B7PvvsM4X1eXl5iWV8fHw0Prdnz55V21ap58+fC66urhq1U19fX9i9e7fK+r755hux/Pjx4zVuc2E8evRIaNCggcbneeDAgUrrOn/+vGBpaalRPdWrVxfCwsJUtq0wr53sPiIiIpSWu3XrlmBjY6O2nV26dBHu3bsnt0wZ2Wv8m2++UVouIyND6Ny5s8r95t3ex8dH48+PW7duCQ4ODhq9Dubm5sLZs2dV1qfpcclycnISt1FXv4+Pj2BoaFjgaz41NVVpnbNnz1a7vaGhoXD8+PFCHZ8mVq9eLUgkEo2OpV27dsKbN29U1qfpe1uqIJ9hBTF27FiVx6LqM2vVqlVyZU1MTIT09HSl5T/66CO58vXq1dO4ndr+PCqIgn52FfQzvyCv7dGjRwU9PT2Vx6+joyOsWbOmQJ8zr169kjtORX9NmzYVHjx4IGzYsEFcNmzYMJXHo+nftGnThJycHKXtk/0M0tZ3LqrY+JMKUTkzdOhQhIaGol+/fkp7cywtLfHll18iODgYNWvWVFjGzs4OP/74Izp06KB2WF6DBg2wZcsWHDlyJN+E97KmTJmCwMBATJkyBa6urrCwsNDol1tbW1v4+/tjx44dcHV1VVnW0NAQXbt2xZYtW/Dll1+qrbu41KhRA1euXME333yjdNoNHR0d9O7dGyEhIYXq6Ssuzs7OuHbtGpYtWyZ3/19eenp66N69O2bOnKm0TPv27REeHo6xY8cqfR8ZGxtjxowZCAsLU/v6FqdGjRohNDQUgwcPVvi+NDMzw//+9z+cOnVK6xlk9fX18ffff8PX1xf9+vWDo6OjXNb0omrUqBFu3LiBOXPm5EvOJduGUaNGITw8vNSHDU6YMAG3b9/GpEmTlLZXqnbt2pg1axaCgoLk7rXOa82aNdi+fbvS97SHhwcuXLiAvn37FqntqsyZMweXLl1SmXzJzs4OK1euxNmzZ/PN0VpW7dy5EwcPHsSwYcNQp04dmJqaapxkLe97Le/8werKF+S9Wp4+j4pT//79ceLECdSrV0/h+vr16+PEiROYPXt2geq1sbHB2bNn8eeff6Jv376oUaMGDAwMYG9vj06dOmHLli24fPky6tatKzdFmqJh0m5ubli0aBFatmypdmSKh4cHDh48iA0bNpRYcj+qHCSCoMV5HIioRL1+/Rr+/v6IiorC27dvUbVqVdSvXx/t2rUr0Bf5tLQ0XL9+Hffv38fLly+RmpoKU1NTVK9eHe7u7mjUqFExHkV+z549w3///YeXL18iISEBxsbGsLGxQf369fNNu1QWZGVl4dKlS7hz5w5ev34NExMTODg4wMvLq8zPDyoIAkJCQhAWFoaYmBhkZWWhSpUqqF+/Plq1alWgodxJSUnw9/fHkydPkJCQACsrKzg7O8PLy6vMvWZRUVE4e/YsoqKiYGpqilq1aqFLly4wMzMr7aYVWVpaGs6dO4dHjx4hLi4OFhYWqFWrFjp16lTqQ/MVycjIwJUrV3Dv3j28fv0a2dnZsLCwgJOTE1xdXQs8vVN2djYCAgJw+/ZtJCUloUaNGnB3d5e7T7skREVF4fz583jx4gXS09NhY2ODJk2awNPTk0M7S0B5+jwqLjk5Obhy5QquXbuGhIQE2NraokmTJgrzfGhb//79cfz4cQC595ZPmzZNadnk5GSEhobiwYMHiImJQXp6OszMzODg4ICWLVvC2dm52NtLlRMDYSIiIiIi0oqoqCg4OzuLs01cv369xH+IItIEf5IkIiIiIiKVNOk7y8zMxMSJE8UguDRGYxBpioEwERERERGp1K5dO/z4448K55MWBAH+/v7o2LEjTp8+LS5fuHBhSTaRqEA4NJqIiIiIiFSqXr26OL+zjY0N6tatCzMzMyQlJeHu3bv5pjmbNm0aNmzYUAotJdIM5xEmIiIiIiKVZJO8xcTEICYmRmE5Q0NDLFiwgL3BVOaxR5iIiIiIiFSKjo7GoUOHEBAQgPDwcDx79gzJycnQ09MTZ63o0qULvL294eDgUNrNJVKLgTARERERERFVKkyWRURERERERJUKA2EiIiIiIiKqVBgIExERERERUaXCQJiIiIiIiIgqFQbCREREREREVKkwECYiIiIiIqJKhYEwERERERERVSoMhImIypBOnTpBIpFAIpHA19e3tJtDVKz8/f3F93vt2rVLuzmlqnbt2uK58Pf3L+3mEBFVeAyEiYiICuDSpUuYMmUKGjduDAsLC1hYWKBx48aYMmUKLl26pPX9vXnzBocOHcKcOXPQsWNHVK9eHYaGhjAzM0OtWrXQv39//PLLL4iPj9f6vonKm5K+PgFeo0TllkBERGWGl5eXAEAAIPj4+JR2c0hGcnKyMHHiRPH1UfY3ceJEITk5ucj7u337ttCvXz/BwMBA7T4BCCYmJsKqVauEnJwcLRxtyTh79qzYficnp9JujtY4OTmJx3X27Nli24beKenrUxAqxzVKVJHpFVeATUREVFFkZ2djyJAhOH36tLjM2NgYTZo0gZ6eHm7duoXExEQAwLZt2xAVFQU/Pz/o6uoWep/h4eE4fvy43DJdXV3Uq1cPdnZ2yM7Oxu3btxEXFwcASElJwSeffILw8HBs2bIFEomk0PsmKk9K4/oEeI0SlXccGk1ERKTG119/Lfcl+8MPP8SzZ88QFBSE//77D8+fP8dXX30lrj916hQWLlyolX3r6elh0KBBOHz4MOLi4nDnzh0EBATgwoULiI2NxeHDh+Hg4CCW37p1KzZu3KiVfROVB6V5fQK8RonKKwbCREREKkRFRWHVqlXi83HjxmHz5s2wtrYWl5mammLJkiVyX7ZXrVqF58+fF3q/+vr6mDx5Mh4+fIhDhw5h4MCBsLCwkCsjkUgwcOBA/Pfff6hevbq4fOHChcjMzCz0vonKi9K6PgFeo0TlHQNhIiIiFdasWYO0tDQAgImJCX755RelZb/++ms4OjoCAFJTU7F69epC73fgwIHYsmULatWqpbaso6MjFi9eLD6PjY3FuXPnCr1vovKitK5PgNcoUXnHQJiIKi1BEHDixAlMmzYNbm5usLGxgb6+PqpUqYLmzZtj4sSJ2LdvH9LT09XWFRUVhe+++w7t2rVDjRo1YGhoCFtbW7Ro0QILFizA7du3i+04tLVvRdO3JCUlYdOmTejWrRucnJxgaGio1eldMjIysGvXLnzwwQdo1KgRqlatCl1dXbEdqv6aN2+ulTaoc/DgQfHxiBEj5Hqa8jIwMIC3t7f4/NChQ8XaNln9+/eXe37nzp0S27ci586dw7hx4+Ds7AwjIyNUr14dbdu2xS+//II3b94Uul5BEHD48GF4e3ujYcOGsLKygrGxMWrVqoUBAwZg27ZtGve0KXrPv3nzBqtXr0bbtm1RvXp1GBkZwdnZGWPGjMHZs2eV1vX48WOxrsjISHF5586dFb5/O3XqpLZ96enp8PHxQZcuXeDg4ABDQ0PY29tj4MCBcu/L4lTWr9Hycn0CZe8aJar0SjtbFxFRaQgODhZatGihUaZPddlsV65cKZiamqqsQ09PT/jkk0+EzMxMlXUVNGu0NvedN2ttYGCg4OzsrLBObWS1PXLkiGBvb6/Ra6Dob9y4cUVugzp37tyR2+eff/6pdpv//vtPbpu7d+8WezsFQRDS0tLk9vv999+XyH7zyszMFKZMmaL2mrp69WqBs0YHBwcL7u7uat8bLi4uQnBwsNr68r7nr169KrdM0Z+3t7eQnp6er66IiIgCvX+9vLxUtuX+/ftC8+bNVdYxePBghW3RlrJ+jZan61MQys41SkS5mDWaiCqd48eP4/3330dKSoq4TF9fH40bN0bVqlXx9u1b3L9/X8z0qar3at68efj555/lltWrVw81a9ZEbGwsbt68CUEQkJWVhVWrVuHRo0fYv38/9PSK/vFbnPt+8OAB5s2bJ2Zaldb75s0brfRi/PLLL5g7dy4EQRCXWVlZoUGDBtDV1cWdO3fw+vVrlXU0bdpU7nnt2rXFnjgvLy+t9Fpfv35d7vl7772ndhsPDw8YGBggIyNDrKN+/fpFbos6sr2QAGBra1vs+8xLEAR88MEH2L17t9zyxo0bw9bWFlFRUbh//z4iIyPRvXv3Ag1NPXnyJIYNG4a3b9+Ky6pVqwYXFxcYGhoiIiJCPAf3799H586dcerUKY1eMwB4+vQpPv74Y/G6l77nY2JicOvWLfG96uPjg8TEROzduxc6Ou8G1hkbG6Nnz54AgICAAHG4bqtWrRT2UuZ9/8p6+fIlxo4di6ioKABA/fr14eDggDdv3uDGjRvIzs4GkNujOXfuXKxdu1ajYyyI8nCNlqfrEygb1ygRySjNKJyIqKTdvHlTMDExEX+Rt7KyEtasWSMkJibmK3v9+nXhs88+U9pTtXfvXrlf91u1aiWEhobKlXn8+LHQr18/uXLffvut0vZp2iNcHPuW7ZEyNzcXAAjdu3cXbt++LVcuLi5OiIuLU1qPOocPHxZ0dHTEfTk6Ogr79u2T67HOyMgQ1q5dK+jp6YnlLCwshC1btoh/jx49Utr+vL1thbVo0SKxTgMDA43n/6xbt6643eLFi7XSFnWWLVsm91qHh4eXyH5l/fbbb3Jt6NSpk3Dv3j25MqGhoYKHh4cAQKhWrZpGPcL3798XzMzMxLKenp6Cv79/vtfjypUrcj3GTk5Owps3b5TWK/uekbbFw8NDCAkJkSv38OFDoVu3bnLHtm7dOo3qLcw8wlWrVhUACAMGDBDu378vV+7p06dC586dxbI6Ojr5znFRlZdrtDxdn4JQNq5RInqHgTARVSqtWrUSv4TY2toKN2/eVLtNUlJSvmXp6elC9erVxbo8PDyE5ORkhdtnZ2cLAwYMEMvq6+sLT58+VVhWk0C4uPadd0ho79691Q6nLqj4+Hi54KdRo0bCixcvlJZfuHChXJtUDXctjkDY29tbrLNOnToabycbqHh7e2ulLaq8efNG7j3RtGnTYt9nXqmpqXKvbbt27YS0tDSFZRMSEoTGjRvLvbaqAuGOHTuK5fr37y9kZGQoLZucnCw3pFjTH38ACE2aNBESEhIUls3IyJB7XS0tLRX+gJa33sIEwgCE0aNHKw3skpKS5IYsf/311xrtQxPl6RotL9enIJSNa5SI5DFZFhFVGv/++y+CgoLE55s3b0bjxo3VbmdmZpZv2YEDB/Dy5UsAudNjbN26Faampgq319HRwebNm2Fubg4AyMzMxKZNmwpzCCW2bwMDA2zZskUrQ7hlffvtt4iNjQWQe16PHDkiN6VIXrNnz5ZrQ0lnWZUODQcAS0tLjbeTnUIlKSlJq21SZN68eeJ7AgCWLl1a7PvM68CBA+Jrq6uriy1btsDQ0FBhWQsLC2zYsEGjeq9cuSK+7lWrVsWOHTugr6+vtLypqancHK0bN26UG96ryoYNG/JNfyOlr6+PLVu2iPtOSEjAn3/+qVG9BVWlShVs2LABEolE4XozMzNMnjxZfH7x4kWt7bs8XaPl5foEysY1SkTyGAgTUaUhe99i06ZNMXDgwELXdfjwYfGxl5eX2uyodnZ2GD16tMLty+K++/btCwcHh0K2ULG3b9/it99+E59/9tlncHFxUblNtWrV0KhRI/H53bt3lZZ9/PgxhNyRTlrLai17P6qRkZHG2xkbGyusozhs27YNW7duFZ+///77+bLTlgTZ91Xnzp3lXjdFOnbsCDc3N7X17ty5U3w8fvx4VKlSRe02rVu3Rr169QAAz58/1+i+9mbNmqFDhw4qy9StWxe9evUSnxflOlZl5MiRSgNyqfbt24uPtZV9uLxdo+Xh+gTKzjVKRPIYCBNRpXH+/Hnx8ZAhQ4pU15UrV8THvXv31mibfv36iY9v3bpV6J6Ikti37Jdsbdm3b5+4X2NjY8yZM0ej7aTzfgIQExCVFNlpeArSOy5bVpqUpzicP38eM2bMEJ87OzsXabRBUciOtpAmjVJHk/ev7HXbpUsXjdvj6uoqPg4JCVFbXjbAVUW2zbLHrE2aJH2S/aGqKNNRySpv12hZvz6BsnWNEpE8Zo0mokohJycH9+7dE5+3aNGi0HVlZWXJZf/UpFcrb7mcnBxERESozBxbmvuuW7dugdqliZMnT4qP+/fvr7bHS0p2WGtBen20wcTERHxckC/4smWVDVsvquvXr6N///7iPNe2trY4efJkgYaIaktmZqbc+1I2CFWlSZMmKtcLgoCbN2+Kz7///nv8+uuvGtUdFhYmPpYO9VWlMG2OiYlBQkKC1s+5qqHIUrLvTdkM+EVR3q7Rsnx9AmXrGiWi/BgIE1GlEB8fL/dlzcbGptB15e19qVq1qkbbVatWLV+byuq+pfcUa1NAQID4uHPnzhpvJ51CBgCcnJy02iZ1ZO8PT01N1Xg72cBE0T3mRXX37l306NEDCQkJAHKntTl9+nSJTQOTV2Hfl+rKJSQkiFMFAcClS5cK3DZpPUVti7Jyb9680XpgY2BgoNX6NFXertGyen0CZe8aJaL8ODSaiCoF6S/yUsqS+BSmLk2/tOYtl7eesrRv2flRtSE6OlouUYyHh4dG22VkZOD+/fvic017wLVF9geEFy9eaLyd7LFqGmBpKiIiAt26dcOrV68A5H6R/+uvv9CsWTOt7qcg8g4v1fR9qe461Nb9mzk5OWrLFLbNhbmOy6LyeI2WxesTKJvXKBHlxx5hIqoU8ibY0aSHSJm8vT+a3uubt5wmSX/K0r6LIiIiQu65pkOvg4KCxJ4eHR0dtcmMtK1Bgwbi49evXyMlJUVuOKYyT58+FR83bNhQa+159uwZunbtimfPngHIvY/z+PHjaN26tdb2URh5h9AW9n2ZV973e1BQEFq2bFmwxmmosG3WdPhwWVcer9Gydn0CZfcaJaL82CNMRJWCiYmJ3HBf2R6MgjIzM5PLOpr3C6QyDx8+lHtemOHZpbnvooiOjpZ7runQ63379omPW7duXeL31uXNfBwaGqp2m6ioKMTExCito7Cio6PRrVs38TU3NDTE4cOH4eXlpZX6i8Lc3Fzuffn48WONtlP3/jUzM5MLbKQ9bMVB02tJtpyenh6sra2Lq0klqjxeo2Xp+gTK9jVKRPkxECaiSqNNmzbi46LOdenu7i4+DgwM1Ggb2WzPVlZWqF27drnbd2Hlzeiqyf18SUlJ2LVrl/hcdt7UkuLp6Sk3FPbChQtqt5HNcmxkZARPT88ityMuLg7du3cXp6bR19fH3r170aNHjyLXrS2y03hp+r7UpJzsdXv58uUCt0tThWlzkyZNFA6plr21QNM5jEtbebxGy8r1CZSPa5SI5DEQJqJKo3v37uLjAwcOIC4urtB1yQ7/O3DggNw0HsrIfmFs3749JBJJudt3YeUdih0eHq52m+XLl+P169cAcrOtjhw5sjiappKZmRm6du0qPv/999/VbiNbpmvXrkXOSpuYmIiePXuKWZB1dXXx+++/Y8CAAUWqV9tk35cHDx5EVlaWyvLJycnw8/NTW6/sVEy///67XPIsbfLz80NycrLKMjk5OXI9oMqmGZN9zQuSxKk0lcdrtCxcn0D5uUaJSB4DYSKqNCZOnCgOs0xJScFHH31U6Lq8vb3Fxy9fvsTq1atVlj9w4IBcr+ykSZPK5b4Lq3nz5tDV1RWfywbmivzzzz/44YcfxOc//PCDRvf+FYcJEyaIj2/cuIFjx44pLRsSEoK//vpL4baFkZKSgr59+yI4OBhAbk+jj48Phg8fXqR6AaB27dqQSCSQSCTo1KlTkesbN26c+DgqKgobNmxQWX7ZsmVqA08gt5dRmtn30aNHWLZsWdEaqkRSUhKWL1+usszWrVvx6NEj8bmy11d2+qMHDx5opX3Frbxeo6V5fQLFe40SUTETiIgqkUWLFgkAxL8ZM2YIqampSsvHxcUJK1asULhu2LBhYj36+vrCoUOHFJb777//BAsLC7Fss2bNhKysLIVlvby8xHI+Pj5K21Uc+3ZychLLnT17Vum+C6tnz55i/bq6usK///6rsNyhQ4cEExMTseyAAQOEnJwctfXLtt/Ly0tr7c7JyRGaNWsm1l2jRg3h9u3b+co9f/5caNSokViuefPmKtt99uxZufdi3tc7LS1N6Natm7heIpEIv/32m9aOqzjOV9++fcU6DQ0NhdOnTyss98cffwg6Ojpyx+/k5KS03uXLl8udh0WLFgkZGRkq2xIfHy+sXr1aGDFihNIysucAgKCjoyP88ccfCsv++++/grGxsVi2a9euSuudP3++3PvgzZs3Ktuaty2aXH8RERFybdeG8niNltb1KQjFf40SUfFi1mgiqlS++uornDt3Dv/++y8AYP369Th27BjGjh2L1q1bo2rVqkhOTsa9e/cQEBCAEydOwNDQEJ9++mm+utatW4fz588jOjoamZmZGDx4MIYOHYqhQ4fCwcEBsbGxOHHiBLZv3y4OEzUyMsKOHTvkel4KozT3XVhff/01Tp8+DUEQkJ2djZ49e2Lq1Kno0aMHzM3N8ejRI+zZswenT58Wt/H09MQff/xR4kO5ZUkkEvz222/o2LEjUlNT8eLFC7Ru3RrTp09Hx44doaenh8DAQKxdu1ZMOGRsbIwtW7YUqd2rV6/GmTNnxOdVqlTBvn375IbmqtK9e3fMmzev0PsvjLVr1+L8+fNITExEeno6evXqhdGjR2PgwIGwtbVFVFQU9u3bh0OHDgEA3n//fezZs0dtvfPnz0dgYCAOHjwIQRCwaNEibN26FaNGjULr1q1RrVo1ZGVlIS4uDuHh4fjvv/9w9uxZZGZmapytd8SIEdi7dy9Gjx6NvXv3YsSIEXBwcEBMTAyOHTuGnTt3itMwmZqaquzxHjVqFFasWAFBEBAaGgoHBwd4eHjAyspKfE+4urpi6dKlGrWtpJTHa7S0rk+gfF6jRCSjdONwIqKSl5KSIgwaNEju135Vf5aWlkrrunXrluDg4KBRPebm5mp7ejTtES6OfRd3j7AgCMIPP/yg8XkfOXKk8PbtW43rLq4eYamDBw/K9Qgq+zM2NhYOHjyotj51PU7ffPONxudK0d/48eOV7jsrK0swMzMTy86ePbuIZ+edc+fOyfUWKvsbN26c3DlQ1SMsCIKQmZkpzJw5s8DnoXXr1krrzPueHzt2rNr6jIyMhH/++Uftefjyyy9V1pP3PVoWeoQFofxeoyV9fQpC8V6jRFT8eI8wEVU6xsbGOHjwIPbs2QNXV1eVZZs2bYrvv/9e6fpGjRrhxo0bmDNnjtKkK/r6+hg1ahTCw8O1ci9mWdh3Yc2fPx/79++Hk5OTwvUSiQRt2rTBX3/9hd27d5fafcGKDB48GFevXkXXrl0V9iRJJBJ069YNISEhGDx4cCm0UHOhoaHi/bn6+voKRzwUVocOHRASEqL0/Va1alX8+OOP2LFjR4Hq1dPTE3uce/TooXJkg0Qigbu7O5YsWaJx7xwA7Ny5Ez/++COqVq2qcH2HDh1w9epVdOnSRW1dS5cuxb///ouxY8eiQYMGMDMzK9WRDZoqr9doRbo+iahkSAShnOT1JyIqJhEREbh8+TKio6ORnJwMc3NzODs7o0WLFnBwcNC4nrS0NJw7dw6PHj1CXFwcLCwsUKtWLXTq1AkWFhbFeASlu+/CEAQBgYGBCA8Px6tXr2BiYoIaNWqgQ4cOqFGjRmk3T62nT5/i0qVLiIqKAgA4ODigbdu2cHR0LOWWaWb16tX4+OOPAeQmkdu6dWux7Of+/fu4ePEiXr58CUtLSzg7O6NLly4KpxwqqISEBFy4cAFPnz5FXFwc9PT0UKVKFdSrVw9NmzZFtWrV1NZRu3ZtREZGAgDOnj0rBu8ZGRk4e/YsHj16hISEBNjZ2aFdu3aoX79+kdtdXpTna7S8X59EVDLKdSCcmpqKZcuW4c8//8STJ09gbW2NXr16YcmSJQX68hoQEAB/f38EBgYiMDAQsbGxcHJywuPHj1Vul52djTVr1mDbtm148OABzMzM0LlzZyxevFirE7QTERFp07Bhw3DgwAHo6Ojgzp07cHFxKe0mlQplgTAREVV85TZZVlpaGrp06YLLly+jRo0aGDhwIB4/fgwfHx8cP34cly9fRp06dTSq66OPPsL169cLtP+cnBwMHz4chw4dQpUqVdC3b1/ExsZi//798PPzw9mzZ7U2STsREZE2XbhwAUBugqjKGgQTEVHlVm7vEV66dCkuX76M9957D/fu3cOePXtw5coVrFy5EjExMZg4caLGdfXo0QNLly7FqVOncPPmTY222bZtGw4dOgQXFxfcuXMH+/fvh7+/P/bt24eUlBSMGTNGzNRKRERUVty7dw/R0dGQSCRYsGBBaTeHiIioVJTLodEZGRmwtbVFQkICQkJC4O7uLre+WbNmuHHjBoKDg9GiRYsC1f3y5UvUqFFD7dDoxo0b4/bt2zh06BAGDRokt27gwIE4evQo9u/fj6FDhxZo/0RERFQyODSaiKjyKpc9whcvXkRCQgLq1q2bLwgGcu99AoBjx44Vy/4jIiJw+/ZtGBsbo2/fviW+fyIiIiIiIiq8chkIS+/n9fDwULheuvzGjRvFun9XV1fo6+uX+P6JiIiIiIio8MplsqwnT54AAGrWrKlwvXS5dLhTRds/ERERFZ262SGIiKjiKpeBcHJyMgAoncTd1NQUAJCUlFSm95+eno709HTxeU5ODuLi4lC1alWFk8ETERERERGRYoIgICkpCfb29tDRUT34uVwGwhXFsmXLsHjx4tJuBhERERERUYXx9OlTpaN3pcplIGxmZgYASElJUbj+7du3AABzc/Myvf8FCxZg7ty54vOEhATUqlULT58+hYWFhZZaS0RElIf/cuC/tfmXz7sH/DUfuHVYfrlJNeCj0JJoGRERUaElJibC0dFRoziwXAbCtWrVAgA8e/ZM4XrpcicnpzK9f0NDQxgaGuZbbmFhwUCYiIiKj4khYKjgFhwLC8DUKP86w/9fR0REVA5ocptpucwa3axZMwBASEiIwvXS5U2bNi3W/YeHhyMzM7PE909ERFQsJBIACr48CDkl3hQiIqLiVC4D4Xbt2sHS0hIPHz5EaGhovvX79+8HAPTv379Y9u/s7IxGjRohNTUVfn5+Jb5/IiKiYiNR8NVAEEq+HURERMWoXAbCBgYGmDVrFgBg5syZ4j25APDzzz/jxo0b8PLyQosWLcTla9euRcOGDbFgwQKttEF6b+/8+fPx6tUrcfnBgwdx9OhR1KtXDwMHDtTKvoiIiLRLRWDLQJiIiCqBcnmPMAB89dVXOHPmDC5dugQXFxd06NABkZGRuHLlCmxsbLBt2za58rGxsbh79y5evHiRr67ffvsNv/32GwCIQ51fvHiBNm3aiGXWr18PDw8P8fnEiRNx4sQJHDp0CA0bNkTXrl0RGxuLgIAAGBsbY9euXdDTK7enl4iIKiXJ/w+PzoNDo4mIqIIplz3CAGBkZISzZ8/i66+/homJCQ4fPozIyEhMmDABISEhqFOnjsZ1PXv2DFeuXMGVK1fE+3szMjLEZVeuXEFiYqLcNjo6Oti3bx9WrlwJe3t7HD9+HGFhYRg6dCiCg4PRunVrrR4vERFRiWAgTERElYBEEDjeqaxITEyEpaUlEhISmDWaiIiKz9/fABd/yb/8y2jg5GfAVV/55fomwJf5R1QRERGVJQWJp8ptjzARERFpmUSi5B5h9ggTEVHFwkCYiIiI3mEgTERElQADYSIiokpH1V1RvEeYiIgqPgbCRERE9P+UDY1mOhEiIqpYOL8PERERvVNOh0bn5OQgKysLOTllv61ERJSfjo4O9PX1IVE0e0ExYCBMRERU2ajq4VUUCEPI3aaEvpwUREJCAhITE5GSksIgmIionNPX14e5uTmqVasGXV3dYt0XA2EiIiLKJZEoD3bLWCAsCAKio6MRHx8PExMTVKtWDUZGRtDR0Smx3gQiItIOQRCQnZ2N5ORkvHnzBqmpqXB0dCzWYJiBMBEREb2jNIgsW/cJx8fHIz4+HtWrV4eVlVVpN4eIiLTAzMwMlpaWePLkCWJjY2FnZ1ds+2KyLCIiokqnoEOjUabuExYEAW/evIG5uTmDYCKiCsbY2BgWFhZISkqCUIzJGhkIExER0f9TkjUaKFOBcFZWFtLT02FpaVnaTSEiomJgbm6OzMxMZGZmFts+GAgTERFVNip/YVd2j3DZCYSzs7MBAHp6vMOLiKgikt4bXJxJEBkIExERUS6Jqh7hsnWPMAAmxSIiqqBK4vOdgTARERG9Uw6GRhMRERUVA2EiIiJ6R+n0SQyEiYio4mAgTERERP+vfCTLIiIiKioGwkRERPSOskC4jM0jTEREVBQMhImIiCobVYmvlA6NZiBMVFiPHz+GRCKBRCKBr69vaTen3PP39xfPp7+/v9JyFy9exODBg1G9enXo6emJ27x586bE2kplF+cdICIiolwSCcrD9ElEROocO3YMgwcPFqdbI8qLgTARERG9U46mTyIiUmbevHnIzs6Gvb09li9fjiZNmsDAwAAAYGFhUcqto7KAgTAREVGlo2poNJNlEWlb7dq1IfDHpBLz5MkT3L9/HwDwxRdfYNy4caXcIiqLeI8wERER5ZIwazQRlX9RUVHi4/r165diS6gsYyBMRERE73AeYSIq59LT08XH+vr6pdgSKssYCBMREVU2KrNGc/okUu7169eYP38+GjRoAGNjY9jZ2aF79+44dOgQAMDX11fMzPv48WO5bTMyMnDs2DHMmjULrVq1gpWVFfT19VG1alW0bt0aixYtQmxsrMr9S+tetGiRynKdOnWCRCJBp06dFK5PS0vDmjVr0KlTJ9jY2EBfXx/W1tZo0KABevfujZ9//jlf+6WuXr2KSZMmoX79+jA1NYWRkREcHR3RokULzJw5E0ePHs03DFqTrNHh4eFYunQpevbsiZo1a8LQ0BBmZmZwcXHB+PHjcfnyZZXHvGjRInEf0mNcsWIFPDw8YG5uDnNzc3h6emLt2rXIyspSWVdh5H1tzpw5gwEDBqBGjRowMjJCnTp1MGvWLLneWmVSU1Px/fffo1mzZjA1NUXVqlXRrl07bNmyBTk5yn+UmzBhAiQSCTp37iwu69y5s9g2Zu0mWbxHmIiIiN7h0GhSIiwsDN27d0d0dLS4LC0tDWfOnMGZM2cwZcoUvPfee0q3nzJlCrZv355veVxcHAIDAxEYGIi1a9fiyJEjaNeuXbEcAwC8ePEC3bp1w61bt+SWx8fHIz4+Hvfu3cPJkyfx/Plz/PTTT3JlVq1ahU8//TRfMPbs2TM8e/YMISEhWL9+PZKSkmBmZqZxm/z9/eWCN6mMjAw8ePAADx48wI4dO/D5559j2bJlauuLjo5Gr169EBoaKrc8KCgIQUFBOH36NA4fPgwdneLpE1u8eHG+HysiIiKwbt067Nq1C8eOHUOHDh0Ubvvy5Ut06dIFt2/fFpelpKTg0qVLuHTpEg4cOIC5c+cWS7upcmEgTERERO8wECYF3rx5g169eolB8Lhx4zB69GjY2NjgwYMHWL16NTZv3ozr168rrSMrKwt16tTB4MGD4enpiVq1akFPTw+RkZE4c+YMtm3bhtevX2Pw4MEIDw+Hra1tsRzL7NmzxSB47NixGDJkCOzt7aGrq4sXL14gODgYR44cybfdjRs3xCDY2dkZs2bNQvPmzWFtbY2kpCTcvXsXZ8+eVbitOllZWTA1NUXfvn3RpUsXNGzYEBYWFnj16hVu3ryJNWvWIDIyEsuXL0f9+vXh7e2tsr4hQ4bg1q1bmDNnDvr37w9ra2vcvXsXS5Yswe3bt3Hs2DFs2bIFU6dOLXBb1fHz80NwcDAaNGiA+fPno2nTpkhISMC+ffuwZcsWJCQkoF+/fggPD4ejo2O+89CvXz8xCO7RowemT58OR0dHPHnyBOvXr8epU6cQFxencN/fffcdPv30UwQFBWHixIkAgG3btqFVq1ZimZo1a2r9mKl8YiBMRERU6aga5lwx7hH+/MAN3I1OKu1mlKgGduZYPrRpsdS9ePFiPH/+HADwyy+/4KOPPhLXtWjRAsOGDcPQoUNVBoGLFy9GnTp1xKG7Ui1btsTQoUMxY8YMtG3bFjExMfj111+xZMkSrR9HWloajh49CiB3ep28Pb4A0L9/fyxevDhfsLV//37k5OTA1NQU//33H+zs7OTWd+jQAZMnT0ZCQgJMTEwK1K7mzZvj2bNnqFKlSr51PXv2xKxZs9CvXz/8/fffWLx4MT744APo6uoqrU/a6ys7NNzDwwM9e/ZE48aNER0djfXr1xdLIBwcHAwPDw8EBATI9Yp37doV7dq1wwcffIDExETMmzcPe/fuldt206ZNuHr1KoDcEQSbNm0S17Vo0QKDBw/GpEmTsG3bNoX7dnBwgIODg9wQe2dnZ7i6umrzEKmCYCBMREREEANgpcmyytc9wnejk3DtyZvSbkaFkJ6eLt5X2apVK7kgWEpXVxebNm3CqVOnkJaWprCeunXrqtyPm5sbJk+ejF9++QWHDx8ulkA4Li4OmZmZAICOHTuqLGttbS33/OXLlwBysxDnDYJlWVpaFrhd1apVU7newMAAK1asQPPmzREZGYnQ0FC0aNFCafnZs2crvD/a2toa3t7eWL58OcLCwpCQkFCo9qqzefNmhUPDx40bh927d+Ovv/7CoUOH8PLlS1SvXl1cv379egCAnZ0dVq1apbDu1atX49ixY4iJidF6u6lyYbIsIiIiekfp0OjyFQiT9gQHB+PNmzcAcocSK2NnZ4eePXtqXG98fDwePnyImzdvIjw8HOHh4WKP6K1bt8SAVZuqVq0KAwMDAMDOnTsLlDSqRo0aYtsCAwO13jZZ6enpePLkCW7duiWeG9kEXKqGoAPAmDFjlK6TBtCCICAiIkI7DZbh5uamMkiXDlnOysqCv7+/uPzFixfikPURI0Yo7VU3MzPDiBEjtNdgqrQYCBMREVU2ioJaiboe4fI1NJq0Jzw8XHysKsABcoc5qxIWFoaJEyeiRo0asLa2Rr169eDq6go3Nze4ubmJCZZycnIQHx9f5LbnZWhoiPfffx9A7lDnevXqYf78+Thx4oQY7CszatQo6OvrIz09He3atUP//v2xcePGfEFqYb19+xbLli0TMyU7OTmhSZMm4rlxd3cXy6rLrt2wYUOl62R7upOStH/7gOz9uIp4enqKj8PCwhQ+LkgdRIXFQJiIiIhkKAmEOX1SpSUbkNrY2Kgsq2r91q1b4eHhAR8fH3GYsSqpqamaN7IA1q5di/79+wMAIiMjsWLFCvTt2xdVq1ZFq1atsGLFCiQkJOTbrmHDhti9ezesrKyQlZWF48ePY/r06XBzc4OtrS3GjRuH8+fPF6pNjx8/hpubG7744gvcuHED2dnZKsurOzeq7lGWzRStbj+FoS7Jmeywctn7sGUfF6QOosLiPcJERESVTiHmES5nQ6Mb2JmXdhNKXFk+5jt37mDatGnIysqCra0t/ve//6FLly6oXbs2zM3Noa+vDyA3w++kSZMAQCu9rIpYWFjg6NGjCAwMxN69e+Hv74/Q0FBkZ2cjODgYwcHB+Omnn3D48OF800ENHToU3bp1w549e3Dq1CmcP38eMTExiI2Nxa5du7Br1y6MHz8e27ZtK9DUROPGjUNERAQkEgm8vb0xcuRINGrUCDY2NjAwMIBEIkFOTo6YIKu4zo025E2GVlp1EKnDQJiIiIigPllW+RoaXVzZkysjKysr8XFMTAzq16+vtKyyBEa+vr7IysqCrq4uAgIClA7dVTYtjpREIoEgCPnm8c3r7du3KtcDucNrpUNsk5KS4O/vD19fXxw8eBCvXr3C0KFD8fDhQxgbG8ttZ2lpiSlTpmDKlCkAgNu3b+PIkSP49ddf8fz5c2zfvh3u7u4Kk4opcufOHVy4cAEA8MUXX2Dp0qUKy6k7N2WF7DzT6tbLDtOWfZ8VpA6iwuLQaCIiIpLBodEkr0mTJuJj6dQ2ygQHBytcfvPmTQBAs2bNVN6/qmx7KXPz3F5vVfcPC4KABw8eqKxHUb39+/fHgQMHMGfOHAC5yZukAaoqjRo1wueff47Lly/D1NQUAPJNC6SK9NwAEO9fVkTduSkrgoKCNF4vO62Rm5tboeogKiwGwkRERJWNqmGVFWT6JNKeli1bilPs7Nq1S2m56OhonDp1SuE6aXZmVT21L168EOf4VcbZ2RmA6qDwr7/+Upv4SpWuXbuKj9UlpZLl6Ogo9pYXZDvZzNWqzs/GjRs1rrM0hYWF4dq1a0rXS+cA1tXVlZviyd7eHo0aNQIA7Nu3T+l90G/fvi3QDw1EyjAQJiIiIpkAmD3CJM/IyAgffPABgNyeuNWrV+crk5OTg6lTpyqdQ9jFxQUAcP/+fVy6dCnf+pSUFIwePVptEigvLy8AwJUrV3Dx4sV861++fInZs2cr3f7Ro0cICAhQuY/Tp0+Lj6WBNwAcPnxYZYD99OlT3LlzJ9926kjPDQBxvua8NmzYgCNHjmhcZ2mbMmWKwqD+jz/+wIkTJwAAgwYNEqekkpo+fTqA3Ndx3rx5Cuv+5JNP8OrVKy23mCoj3iNMRERE77BHmBRYtGgR9u3bh5cvX+Ljjz/G1atXMWbMGNjY2ODBgwdYvXo1Ll26BE9PT3GOXdmER+PGjcOvv/6KnJwc9O3bF//73//Qvn17GBkZ4erVq1i1ahXu37+Pdu3aKQxwpaZMmYL169cjKysL/fv3x8KFC9G+fXtkZGTg4sWL+Pnnn5GZmQkXFxfcv38/3/ZPnjxB586d0bhxYwwePBgtW7aEg4MDgNxAds+ePWJvY/PmzdG6dWtx219++QVjxoxB37590aVLFzRq1AiWlpaIj49HcHAwfv31VzGQnzZtmsbn1t3dHa6urggPD8emTZsQHx+PcePGoUaNGnj27Bl27dqF/fv3qz03ZUXLli0RHByMli1b4rPPPoObmxsSEhKwf/9+bNq0CUDuUPSffvop37bTp0+Hj48Prl27hg0bNiAiIgLTpk2Do6Mjnj59ivXr1+P06dPiPoiKgoEwERFRpVOIrNHsEa7UrK2tcfLkSXTv3h0xMTHYuXMndu7cKVdmwoQJ6NChgxgIGxkZietatWqFxYsX45tvvsGbN2/w5Zdf5tvHvHnz4OrqqjLYa9KkCX788UfMnTsX8fHx+OSTT/K18/Dhw/j6668VBsJSt27dwq1bt5Sub9iwIQ4ePJgve3FKSgr27duHffv2KdxOR0cHixcvxqBBg5TWnZdEIsHOnTvRpUsXxMfHY+/evfmG/rq5uWHfvn2wt7fXuN7S0rdvX/Tt2xeLFy+Gt7d3vvXSrN21a9fOt05PTw/Hjx9Hly5dcPfuXZw8eRInT56UK9OjRw/MmzcPPXv2LK5DoEqCQ6OJiIgI74ZEV4ys0aR9zZo1w61btzBv3jy4uLjA0NAQ1apVQ+fOnfHHH3/Ax8cHiYmJYnnpfcVSCxcuhJ+fH3r06AErKysYGBigZs2aGDJkCE6fPq2wh1CRTz75BCdPnkTPnj1hZWUFQ0NDODs7Y+bMmbh27Ro6dOigdNsOHTrA398fCxYsQOfOnVGvXj1x+iY7Ozv06NEDGzduRGhoaL7hzbt378bmzZsxevRoNG/eHNWrV4eenh7MzMzQpEkTTJ8+HdeuXcNXX31VgLOaq3nz5ggNDcW0adPg5OQEfX19WFtbw9PTEz/99BMCAwPzDSMuyxYtWoSTJ0+ib9++sLOzg4GBAWrXro0ZM2bg5s2b4hB3Rezt7XHt2jUsXboUrq6uMDY2RpUqVdCmTRusX78ef/31FwwMDErwaKiikghleSKySiYxMRGWlpZISEiAhYVFaTeHiIgqKr95QNBv8st09IGFscCNvcDBD/Nv8+FZwMGjZNqnRlpaGiIiIuDs7CzX60ilb/Lkydi6dStq1qyJp0+flnZzqARJe8+/+eYbLFq0qHQbQ+VeYT/nCxJPsUeYiIioslH5GziTZVHhpKamigmd2rRpU8qtISJSjYEwERERvUuSpTRZVsk1hcqmhw8fQtlAwuzsbEyfPl2cNmj8+PEl2TQiogJjsiwiIiLSACPhym7JkiUIDAzEyJEj0bp1a9ja2iI1NRU3btzAli1bEBISAgDo1q0b+vbtW8qtJSJSjYEwERFRpVOIrNFMKUIAbt++jW+++Ubp+nbt2uHPP//Ml22ZyraoqCjEx8cXeDtTU9MCzZlMVJYwECYiIiKI9wYrHRrNrNGV3YIFC1C/fn2cOXMGjx8/RkxMDDIzM1G1alW0bNkS77//PkaOHAkdHd55V958+eWX2L59e4G38/Lygr+/v/YbRFQCGAgTERGRDCbLIsUaNGiAL774Al988UVpN4XKIE5EQ+UNf7IjIiKqbBR9YVWbLItfcokqKl9fXwiCUOA/9gZTecZAmIiIiGSwR5iIiCo+BsJERET0DnuEiYioEmAgTEREVOkoCmqlQ6OVZY1msiwiIqo4GAgTERGRDA6NJiKiio+BMBERUWWjapgzh0YTEVElwECYiIiIZAJg9ggTEVHFx0CYiIiI3mGPMBERVQIMhImIiCodVUEte4SJiKjiYyBMREREYNZoIiKqTBgIExER0TvsECYiokqAgTAREVFlo/J+X0bCRERU8TEQJiIiondJspgsi4iIKgEGwkRERCSDPcJERFTxMRAmIiKqdFQEtewRplI0YcIESCQS1K5du7SbUiE8fvwYEokEEokEvr6+SsuFh4dj7NixcHR0hIGBgbhNaGhoibWVqKTplXYDiIiIqCxg1mhSLDExESdOnEBQUBCCg4MRFRWFmJgYpKamokqVKmjcuDH69OmDSZMmoWrVqqXdXLUq2vEU1dWrV9GhQwekpqaWdlOIShQDYSIiIpLBodEkLzAwEKNGjVK4LiYmBgEBAQgICMCKFSuwa9cu9OzZs4RbWDAV7XiKasGCBUhNTYWFhQWWL1+Oli1bwtjYGABQr169Um4dUfFhIExERFTZKIppmSyLVHB0dETnzp3RokULODo6okaNGsjJycGzZ8+wf/9+HDx4ELGxsRgwYAACAwPRrFmz0m6yShXteAorMzMTAQEBAIApU6Zg+vTppdwiopLDQJiIiIhksEeY5HXu3BlPnjxRun7EiBE4fPgwBg8ejIyMDCxevBgHDx4swRYWTEU7nqKIjY1FRkYGAKB+/fql3BqiksVkWURERPQOe4QpD11dXbVlBg0ahAYNGgAAzp8/X9xNKpKKdjxFkZ6eLj7W19cvxZYQlTwGwkRERJWOwrHRef7VZBuid8zNzQEAaWlpSsvcvn0bEyZMgKOjI4yMjODo6IjRo0cjKChIbf2KMiDv27cP3bp1g62tLYyNjdGwYUMsWLAAb968KZHjKYzatWtDIpFgwoQJAICgoCCMGjVK7px4e3vjzp07auvKzs7G+vXr0bp1a1hYWMDS0hIeHh746aef5ILcvBYtWgSJRAJnZ2dxmbe3t3h+JRIJFi1aVNRDJSrTODSaiIiI3mHWaCqEu3fvilPtNGzYUGGZvXv34oMPPpAL0J49e4bdu3dj37592LhxY4H2OWnSJGzbti1fO5YvX44dO3bgn3/+UdoWdTQ5Hm3Ytm0bpk6diqysLHHZs2fP4Ovri927d2Pnzp0YPny4wm2Tk5PRp0+ffD3W165dw7Vr17B792789ttvxdZ2ovKOPcJERESVjaphzhwaTRpKSUnB/fv38fPPP8PLy0sM5j7++ON8ZYOCgjBmzBikp6fD0NAQn3/+Oc6dO4crV65gzZo1qFatGqZPn67xvLXr16/Htm3b4Onpid27dyM4OBgnTpzAiBEjAADPnz9Hz549kZSUVCzHow2hoaGYNm0abG1t8euvv+LKlSsICAjAZ599BkNDQ6Snp2PMmDEIDg5WuP3YsWPFIFj2PPj5+WH48OEICQnB1KlTFW47Y8YMhIWF4dSpU+KypUuXIiwsTPybMWOG9g+aqAxhjzARERHJjIiuIEOjj84GXt0u7VaULNtGwIBfi3UXvr6+8Pb2Vrr+888/x+jRo/MtnzFjBrKysqCvr4/Tp0+jY8eO4jpPT08MGTIEbdq0wfXr1zVqR1BQEPr06YMjR45AT+/d19nevXvD1dUVCxcuxJMnT7BkyRL8+OOPWj8ebbh+/TqcnJxw+fJlVK9eXVzesWNH9OzZEz169EBmZiZmzJiBwMBAuW39/Pxw5MgRAFB4Hvr06YNvv/0W33zzjcJ929rawtbWFmZmZuIyBwcHuLq6avMQico0BsJERET0TkXpEX51G3im/r5T0o7mzZtj8+bNaNWqVb51QUFBYq/m1KlT5YJgKQcHB6xcuRLvv/++RvszNDTEli1b5II/qS+//BJ79+5FeHg4tm7diqVLl8LAwEBrx6NNK1eulAuCpTp37owPP/wQGzZsEM9fy5YtxfXr168HoPo8fPXVV9i3bx/Cw8OL7wCIyjEOjSYiIqp0VAW1ynqEiXKzKUuHzgYGBmL37t0YPHgwQkNDMWrUKBw/fjzfNmfOnBEfq+p9HTx4MKpUqaJRO3r06AF7e3uF63R0dDB+/HgAQFxcHEJCQrR6PNpiZWWFgQMHKl0/ceJE8bHsOczOzoa/vz8Azc8DEeXHQJiIiIggBsBKR0YzWRYBVapUgaurK1xdXdGqVSuMHDkSBw8exI4dO/Do0SMMHDhQzOgsFRYWBgAwMDBAs2bNlNatr68Pd3d3jdqhrqfW09Mz3/4VKczxaIu7u7vCnlyp5s2biz3Zssfw8OFDpKSkACjYeSAieQyEiYiI6B2lWaPL2dBoKlHjxo3D8OHDkZOTg1mzZiEuLk5cJ31sbW2tdg5fOzs7jfZna2urcT2ybdGUquPRFnXHoKenB2trawBQeD41qUPT80lUGfEeYSIiospGZVBbQZJl2TYq7RaUvFI+5oEDB2Lv3r14+/YtTp48mS/JlETZ/eeFoM26lFF3PEWljWMoifNAVFExECYiIqJ3SbIqSrKsYs6eTPnZ2NiIjyMjI8XHVlZWAIDXr18jOztbZa9wdHS0RvtSV052vbRXtaCUHY+2qDuGrKwsud50Ken51KQOTc8nUWXEodFEREQko4L0CFOJi4qKEh/LTsvj5uYGAMjIyFA5PVJWVpbG8wgHBanOCC67vrBTAik7Hm0JDQ0V5ypW5Pr168jIyAAgfwx169aFsbExgIKdByKSx0CYiIio0lER1FaUHmEqcfv27RMfS4NfAOjWrZv4ePv27Uq3P3ToEOLj4zXa1+nTp/HixQuF63JycsT9WFlZwcPDQ6M681J2PNoSFxeHY8eOKV2/bds28bHsOdTT00OnTp0AaH4eiCg/BsJERESEd1mjlSXLYtboysrX1xdpaWkqy6xatQonTpwAADg7O6NDhw7iOk9PTzEY3bBhAy5cuJBv+xcvXuDTTz/VuE3p6emYOnUqsrOz861bvny5mGV54sSJMDQ01OrxaNPcuXMVDl8OCAjA5s2bAQAtWrTIlx16+vTpAFSfh2XLlqnMmE1U2fEeYSIiIpLBodEkb9GiRZg3bx6GDh2K9u3bo27dujAzM0NSUhLCwsLw+++/4+LFiwByp0javHlzvvuA169fj/bt2yMzMxPdu3fHJ598gj59+sDQ0BBXrlzB999/j9jYWDRr1kzl8Gmpli1b4tixY2jXrh0++eQTuLi44NWrV9i+fTv+/PNPAEDNmjXx9ddfF8vxaEOzZs1w69YttGjRAgsWLICnpyfS09Nx4sQJrFq1CllZWdDT08O6devybdu/f3/0798fx44dU3gefH19sWfPHrRs2RLBwcFabztRRcBAmIiIqLJRNMy5oiXLIq2Ki4vDli1bsGXLFqVlatasiW3btskN45Vq3bo1duzYgQkTJiAtLQ3Lli3DsmXLxPV6enpYv349Ll68qFEgPHPmTAQEBMDX1xcjR47Mt75GjRo4deoULC0ti+V4tKF58+aYNWsWpk+fjlmzZuVbb2BggO3bt6N169YKt//999/Ru3dvXLx4EVeuXMl3Htzd3bFp0ya0aNGiWNpPVN4xECYiIiIZ7BEmeadOnYKfnx8uXryIBw8eIDo6Gq9fv4axsTFsbW3RvHlz9OvXDyNGjICJiYnSekaNGoVmzZph+fLl+OeffxAbGwsbGxu0a9cOc+fORevWrcWeWE34+PigR48e2Lx5M8LCwpCcnAwnJycMGjQIn3/+uVx25eI4Hm2YPHkyXF1dsWrVKly4cEE8J127dsVnn32Gxo0bK93W3Nwc/v7+2LhxI3bs2IHbt29DIpGgbt26eP/99/Hxxx/j5cuXxdp+ovJMIgj8ibesSExMhKWlJRISEmBhYVHazSEioorqwIdA2F75ZSZVgfmPgJi7wDrP/Nv0+wVo6V0izVMnLS0NERERcHZ2hpGRUWk3h0rI48eP4ezsDCA3CJ4wYULpNqiQateujcjISIwfPx6+vr6l3RyiMqmwn/MFiaeYLIuIiKjSUfQbuCTPv5psQ0REVD4xECYiIqJ3mDWaiIgqAQbCRERE9A6TZRERUSXAZFlERESVjaqs0USk1KtXr/Dq1asCb2dgYID69esXQ4uIqLAYCBMREdE77BEmUmr9+vVYvHhxgbdzcnLC48ePtd8gIio0BsJERESVjqqglsmyqGyqXbs2KsJkJwyIicoG3iNMREREEANg9ggTKbVo0SIIglDgPwa/RGUPA2EiIiJ6h1mjiYioEmAgTEREVNmo7N3l0GgiIqr4ynUgnJqaioULF6J+/fowMjKCvb09Jk6ciKioqALXFR8fj48++ghOTk4wNDSEk5MTPv74Y7x580bpNvfu3YO3tzecnJxgYGAAc3NztGrVCqtWrUJGRkYRjoyIiKiESTg0moiIKo9yGwinpaWhS5cuWLJkCZKTkzFw4EA4OjrCx8cH7u7uePTokcZ1xcbGwtPTE2vWrIGenh4GDRoEc3NzrF69Gq1bt0ZcXFy+bS5dugR3d3f4+vrC1NQUgwYNQtu2bXHz5k3MnTsXPXr0QFZWljYPmYiIqASwR5iIiCq+chsIL126FJcvX8Z7772He/fuYc+ePbhy5QpWrlyJmJgYTJw4UeO6Pv74Yzx48ABDhgzB3bt3sWfPHoSHh2P27Nm4d+8e5s6dm2+bWbNmISUlBcuWLcOtW7ewd+9enDp1Cg8ePECdOnUQEBCAnTt3avOQiYiItERFUMseYSIiqgTKZSCckZGBtWvXAgDWrVsHMzMzcd3cuXPRtGlTBAQE4OrVq2rrevHiBXbv3g0DAwOsX78eenrvZpRasWIFbGxssGvXLrnJ05OTk3Ht2jWYmJhg/vz5cvXZ29tj1qxZAICgoKAiHScREVHJkeT5Ny8GwkREVHGUy0D44sWLSEhIQN26deHu7p5v/bBhwwAAx44dU1vXyZMnkZOTgw4dOsDOzk5unaGhIfr374/s7GycOHFCXK6vrw8dHfWnrmrVqmrLEBERlSnMGk1ERJVAuQyEr1+/DgDw8PBQuF66/MaNG8VSl6GhITp27IiUlBT8+OOPcuWfP3+OdevWQV9fH+PGjVO7fyIiohKnaJgzk2UREVElUi4D4SdPngAAatasqXC9dHlkZGSx1bVx40Y4OjpiwYIFaNy4MUaMGIFevXqhXr16EAQBfn5+qF+/vmYHREREVGZwaDQREVV8euqLlD3JyckAABMTE4XrTU1NAQBJSUnFVleDBg1w4cIFDB48GCEhIbh9+zYAQCKRoHPnzmjSpInafaenpyM9PV18npiYqHYbIiKiYsUeYSIiqgTKZY9wWfDvv/+iWbNmyMzMxL///ovExERERETgyy+/hI+PD9q1a4eYmBiVdSxbtgyWlpbin6OjYwm1noiIKjdFQS2TZRERUeVRLgNhaZbolJQUhevfvn0LADA3Ny+WuuLi4jB8+HBkZmbir7/+QufOnWFubo7atWtjyZIlmDlzJh4/foyffvpJ5b4XLFiAhIQE8e/p06dq20tERFSs2CNMRESVQLkMhGvVqgUAePbsmcL10uVOTk7FUpefnx/i4uLQpk0bODg45Ntm+PDhAIBz586p3LehoSEsLCzk/oiIiEoVA2EiIqoEymUg3KxZMwBASEiIwvXS5U2bNi2WuqTBsaWlpcJtpMvj4+PV7p+IiKjEqcoazaHRRBVep06dIJFI0KlTJ4XrJRIJJBIJFi1aVKLtovJh0aJF4ntElZ07d6Jjx46wsrKCjo4OJBIJmjdvXjKN1EC5DITbtWsHS0tLPHz4EKGhofnW79+/HwDQv39/tXX16tULOjo6OH/+PF69eiW3Lj09HceOHYOuri769OkjLq9evToA4Nq1a8jOzs5XZ1BQEACgdu3amh4SERFR2cAeYSIiKqL58+fjgw8+wPnz5/HmzRsIZfD/kHIZCBsYGGDWrFkAgJkzZ4r38QLAzz//jBs3bsDLywstWrQQl69duxYNGzbEggUL5OqqUaMGRo0ahYyMDMyYMQNZWVniuvnz5yMmJgZjx46Fra2tuLxXr14wNDREREQEvv76a+Tk5Ijr7t69i4ULFwIAhg0bpt0DJyIiKnbsESYqjyZMmACJRMKOGCp1T58+xc8//wwAaNOmDY4fP47r168jLCwMBw4cKOXWvVMup08CgK+++gpnzpzBpUuX4OLigg4dOiAyMhJXrlyBjY0Ntm3bJlc+NjYWd+/exYsXL/LV9csvv+Dy5cs4cOAAGjZsiJYtW+LmzZsIDw+Hi4uL+EJK1ahRAz/99BPmzJmDZcuWYc+ePXB3d8fr16/x33//IT09HX369MGECROK8xQQEREVkoqs0ewRJqr0ymLvHZUfZ8+eFUfN/vbbbxpNK1saymWPMAAYGRnh7Nmz+Prrr2FiYoLDhw8jMjISEyZMQEhICOrUqaNxXdWqVUNgYCBmz56NjIwMHDp0CAkJCZgzZw4CAwNhbW2db5tZs2bh33//xaBBg5CSkoIjR44gJCQE7u7uWLduHY4ePQo9vXL7OwMREVVaygLhHMXLiYiIZERFRYmP69evX4otUa1cR2rGxsb49ttv8e2336otu2jRIpU3/FtbW2PNmjVYs2aNxvvv1KmT0iQDREREZZaq3h6Jst/I2UNERETqpaeni4/19fVLsSWqldseYSIiItIiCYdGk3J5s8SmpaVhxYoV8PDwgLm5OczNzeHp6Ym1a9fK5VtRJC0tDWvXrkXXrl1RvXp1GBgYwNbWFt26dcPWrVsVbh8TEyPuf+PGjQrrld4jK5FI8PHHHysss3z5ckgkEujr6yM5OblgJ0GNY8eOYdiwYahZsyYMDQ1RtWpVvPfee1i+fLnKfWmagdff318s5+/vn2/77du3AwAiIyPFcrJ/BaFp1uiQkBBMmzYNDRo0gJmZGUxNTdGgQQNMnz4d9+7dU7qdr6+vuI/Hjx8jPT0dv/zyC9q0aYNq1appLWN13uP4999/MXz4cDg6OkJfXz/f/dTh4eFYunQpevbsKb6OZmZmcHFxwfjx43H58mWF+8nMzET16tUhkUjQq1cvte0KDw8X2/bjjz8W9TDzvTdycnKwZcsWtG3bFtbW1jA1NUWzZs2wbNkypKWlqa3v2bNnmDlzJurUqQMjIyPY29tjwIABOHPmjMrtateuDYlEgsWLF4vL8r4PHz9+XNTD1Zpy3SNMRERE2sZkWaRadHQ0evXqlW/mjqCgIAQFBeH06dM4fPgwdHTy97dcv34dAwcORGRkpNzymJgY/PPPP/jnn3+wadMmHDt2DHZ2duJ6GxsbNG7cGLdu3YK/vz+mTZuWr+6AgADxsWygqKhMixYtYGZmpukhq5SWlobRo0fj0KFDcsvj4uJw+fJlXL58Gb/++iv8/PzK1NQxRZGTk4NPP/0Uv/zyS777ie/du4d79+7ht99+w7p16zBlyhSVdcXGxmLw4MEKZ4LRpi+//BLff/+90vX+/v7o3LlzvuUZGRl48OABHjx4gB07duDzzz/HsmXL5Mro6+vjgw8+wIoVK/D3338jKioKDg4OSvclzWWkp6eHDz74oJBHpFhGRgb69u2LkydPyi2/ceMGbty4gV27duGff/4RZ8HJ6/z58+jXrx8SExPFZS9evMCxY8dw7NixCjWlFnuEiYiI6B32CJMaQ4YMwa1btzBnzhz8/fffuHr1Kv744w80atQIQG7P6JYtW/Jt9+DBA3h5eSEyMhIWFhZYsGABDh06hODgYJw6dQozZ86Enp4egoKCMHDgQGRmZsptL70dTTbglYqMjJTrabpx4wbi4uLkymRlZeHixYsAAC8vr6KcAjnjx48Xg+BmzZphx44dCAoKwqlTp+Dt7Q2JRILnz5+ja9eucvdOasuMGTMQFhaGgQMHAgDs7e0RFhaW70+bZs+ejVWrVkEQBHTs2BHbtm2Dv78/AgMDsWXLFjRp0gRZWVmYOnUqjh49qrKuSZMm4fr16/jggw/g5+eHq1ev4tChQ2jdurXW2nvw4EF8//33cHNzw7Zt2xAYGIiAgADMnTtXLJOVlQVTU1OMGDECGzduhL+/P0JCQnDy5EmsXLkSTk5OAHJHFfj4+OTbx+TJkwHk/kiwY8cOpW3JzMzErl27AAC9e/dWGpAW1ldffYWTJ0+iR48e4vV16NAhdO/eHQBw69Yt9O/fX+EUsE+ePBGDYB0dHUybNg1nzpxBUFAQtm7dChcXFyxatAh+fn4K93369GmEhYVh+vTp4rK870NVPxCUNPYIExEREd71BFeMHuFFlxbh/pv7pd2MEuVSxQWL2i4q9v1Ie31l86R4eHigZ8+eaNy4MaKjo7F+/XpMnTpVbrvx48cjISEB7u7uOH36NKpVqya3vkePHujXrx/69u2LK1euwNfXFx9++KG43svLC+vXr8fLly9x584dNGzYUFwnDY6bNGmClJQURERE4Ny5cxg0aJBYJiQkBElJSQAg1/ai8PPzw969ewEAXbt2xYkTJ2BgYCB3TO+99x6mTJmCuLg4zJ07F3v27NHKvqVsbW1ha2uLKlWqAMjtnXR1ddXqPmT9/fffWL9+PYDcjMCTJk2SW9+qVSuMHTsWffv2xb///os5c+agT58+SpPI3rhxI189Hh4eWm1zWFgYunbtCj8/PxgaGorLO3bsKD5u3rw5nj17Jp5HWT179sSsWbPQr18//P3331i8eDE++OAD6OrqimXq16+PDh064Pz58/D19c03ZavU8ePHERMTAwCYOHGilo7wnaCgIEyZMgWbNm0Sl7Vo0QKDBg3C5MmTsXXrVgQHB2PTpk2YMWOG3Lbz5s0Te4J37dqFUaNGietatmyJ4cOHo0OHDggODla4b2liLNlpZ4vzvVhUDISJiIjoHaU9wuUra/T9N/dxI+ZGaTejQpo9e7bCQNLa2hre3t5Yvnw5wsLCkJCQAEtLSwC5wy0vXboEANi+fXu+IFiqV69eGDZsGPbu3aswEJby9/eXC4SlQ6E7deokBsL+/v5ygbC0jK6uLtq3b1+YQ89n3bp1AHKDTx8fH7kgWOrDDz/E3r17cebMGRw8eBAvXrxAjRo1tLL/0rB8+XIAwNChQ/MFwVJGRkZYu3YtGjdujMjISJw9e1bskcyrS5cuSuvRFh0dHfz2229yQXBeyt6TUgYGBlixYgWaN2+OyMhIhIaGokWLFnJlJk+ejPPnz+PevXu4ePEi2rVrl68eaW+yra0t+vXrV4ijUc3Ozg6rVq1SuO6XX37B0aNHERMTg/Xr18sFwi9fvhRHNvTr108uCJYyNzfH5s2btdpbX5o4NJqIiKiyUTTMWewQVvLVgEOj6f+NGTNG6TppYCAIAiIiIsTl0uGxDRo0gJubm8r6pb10QUFBcomz7OzsxOA37z3A0h5h2Rk9lJWRJvgqqqysLLHOHj16wNHRUWlZaUCflZWl9P7l8iAxMVFs/7Bhw1SWbdSokRhc/vfff0rLqXo/aUu7du3yJcZSJz09HU+ePMGtW7cQHh6O8PBwufuhr1+/nm+b4cOHiz/+KBo+HR0djb/++gsAMG7cuGKZanXEiBEwMTFRuM7MzAwjRowAANy8eRMvX74U18nO/evt7a20fk9PzzI7L3BBMRAmIiIiGQXLLkuVj2xPbF7W1tbiY+kwZADiUMq7d+8qzGgs+zdr1iwAufdS5r3PV9F9wk+fPsWjR48gkUjg5eUllpG9Tzg7OxsXLlwAoL37gx89eoSUlBQAUNtDJrs+PDxcK/svDdeuXUNOTu7okFGjRql9LWNjYwFALuDKq2nTpsXebk338fbtWyxbtgzNmjWDqakpnJyc0KRJE7i5ucHNzQ3u7u5iWemxyTI2Nsbo0aMBAHv37hXfH1I7d+4Uf9wpjmHRQO7QdFU8PT3Fx7L3jss+Lkgd5RkDYSIiInqHybJIDWW9TQDkMkXLJuN59epVofaVN5CQBrHS+4SBd0Fx48aNYWNjg1q1asHZ2RmCIODcuXMAcgM46b2P2ro/WDZIl70nUhHZhEh5g/vyRFuvoywrK6vCNkdjmuzj8ePHcHNzwxdffIEbN24oTCYlKzU1VeFyadKspKQk7N+/X26dtJe4devWaNy4sSZNLzB170XZbOyy78WCvJ9l6yjPeI8wERFRpaMoqFUzj3A5S5blUsWltJtQ4sryMUuDimbNmokZczWRN8OsbBArvU9Ydli0lJeXl9x9wtIy2rw/WFZB5+ktr2SDw02bNqFt27YabacqEJVNOFVcNNnHuHHjEBERAYlEAm9vb4wcORKNGjWCjY0NDAwMIJFIkJOTI9aVd9ooKQ8PD7i7u+PatWvw8fERp0e6cuUKbt26BaD4eoMB7bwXK8v7mYEwERERqVfOeoRLInsyaa5q1aoAgOTk5CJlka1evTrq16+Pe/fuifMJyybKkurUqRN8fX3FddJ/mzdvLt7DWVSyw8Cjo6NVlpUdGiy7HSDfi56Tk6Nw/mUgd9huaZO+jkDuyICynBG4IO7cuSMOnf/iiy+wdOlSheU07c2fPHkyZs6ciYCAAERERMDZ2VnsDTYxMcHIkSO103AF1L0XZdfLvhdlf6yIjo5Wec+7un2UFxwaTURERHko6A0oZ1mjqWyR3lv56NEjlfeLakL2PuGoqCg8ePBAvD84b5kbN24gNjZW6/cHA0CdOnXEYeJXrlxRWTYwMFB8nDd4lE3cFR8fr7SOe/fuqdxHSfTiNW/eXNyPdE7miuDmzZvi4/fff19pOWXTBuU1ZswYGBsbQxAE+Pr6IjU1FX/++SeA3GzbFhYWRWuwCkFBQRqvl30vyiaxK0gd5RkDYSIiospGYdZomS/RCjNHl68eYSpbBgwYACB3OOnq1auLVJfsfcLSuVKl9wdLOTk5oXbt2hAEAWvWrMGbN28AaO/+YADQ09MT2/L333/j2bNnSsv+9ttv4jZ52+Ds7Cw+VhVoSQMpZYyMjADkZjsuLjY2NmjTpg0A4I8//hDnwy3vZLOTq+p537hxo0b1WVpailm1t2/fjv379yMhIQFA8Q6LBoB9+/YpvX/57du34rzXjRs3lpvGq3PnzuKw7+3btyutPygoqFwnfJPFQJiIiIjkKepZKmdDo6ls6dGjh5hpdsWKFeKXcWXCwsJw7NgxhetkA8k1a9bkWyYlDVKlZXR0dNChQ4eCNl2lmTNnAgAyMjIwadIkZGZm5iuzbds2nD59GgAwZMiQfHMIt23bVpxGZ9WqVQrvPV2xYoVcr7Ii0npfvXoll7Fb27766isAuVMpDRs2TPyRQZH09HSsW7cOaWlpxdYebXBxeXd/va+vr8IyGzZswJEjRzSuU5o0KzIyEvPnzwcA1K1bV6ujEhR5+fIl5s2bp3Dd3LlzxYRn06dPl1tXo0YNDBw4EEDudGeKrtHk5GRMnTpVyy0uPQyEiYiIKA9FQywZCFPR/PHHH7C2tkZ2djbef/99DBgwAL///jsCAwNx9epV/PXXX/j+++/x3nvvoWnTpnJTJMmyt7dHvXr1AEDsZVMUCEuXScs0a9YMVapU0eox9e3bF8OHDwcAnD59Gm3atMHvv/+Oq1ev4syZM5g8ebIYEFlbW+Pnn3/OV4etra1Yx6lTpzBgwACcPHkS165dw5EjRzBs2DDMnz9fbWIq6fqcnBxMmzYNly9fxoMHD8Q/benTpw8++ugjAMC5c+fQqFEjLF68GP/88w9CQ0Nx8eJFbN++HZMnT0aNGjUwa9YsuR7Xssjd3V0cJrxp0ya8//77OH78OK5evYojR45g+PDhmDFjBtq1a6dxnR07dkT9+vUBvLtHfMKECcU+hL1ly5bYsGEDevfujSNHjiAkJARHjhxBr169sHnzZgC5xztt2rR8265cuVIcqj969GjMnDkTZ8+exdWrV+Hj44MWLVrg2rVraNmyZbEeQ0kpUrKs/fv3Y+DAgdDX19dWe4iIiKjYqcgaDbBHmIpF3bp18d9//2Ho0KEIDw/HsWPHlPb6AlB5H2WnTp3E4C7v/cGyZWQVV0/cjh07kJWVhUOHDiEkJARjx47NV8be3h5+fn75smBLrVq1CsHBwbh//z6OHz+O48ePy60fOXIkJk+ejG7duiltR5cuXdCmTRtcvnwZf/zxB/744w+59cqyHBfGqlWrYG1tjSVLluDly5dYtGiR0rKmpqYlkhm6KCQSCXbu3IkuXbogPj4ee/fuzdcj6ubmhn379sHe3l7jeidNmoTPPvsMQO6IhAkTJmiz2Qp99913WLlyJU6ePImTJ0/mW9+wYUMcP35cHIUgq3bt2jh69CgGDBiApKQkrF+/HuvXr5crs3DhQkgkEo3vly7LitQjPGLECNjb2+OTTz7BjRs3tNUmIiIiKlXsEabiUb9+fYSGhuKPP/7A0KFDUatWLRgbG8PAwAA1atRAp06d8NVXX+Hq1atYuHCh0npkg9q89wdL1a5dG05OTuJzbd4fLMvIyAgHDx7E0aNHMWTIENjb28PAwABWVlZo3bo1li1bhrt376J58+ZK67Czs8OVK1fw2WefwcXFBYaGhrC2tkbHjh2xa9cu7N69W20wqaOjg9OnT+Orr75Cs2bNYGZmVmy9jxKJBAsXLsS9e/cwf/58tGzZEtbW1tDV1YW5uTkaN26MMWPGYPv27Xjx4gWMjY2LpR3a1Lx5c4SGhmLatGlwcnKCvr4+rK2t4enpiZ9++gmBgYH5hrWrM27cOPFx9+7dUbNmTW03Ox8DAwOcOHEC69evR5s2bVClShWYmJjAzc0NS5cuRUhIiMpgvlOnTrh58yamT58OJycnGBgYwM7ODn379sXJkyexePHiYj+GkiIRivDzkDS9u/Qic3d3x6RJkzB69GitpaavTBITE2FpaYmEhIRizSZHRESV3O8jgPun5JdZOQMfheY+XmoHZOW5p6/FBKB/0ZIcaUtaWpo4JYk0QRARUVnz999/o0ePHgCAPXv2YMSIEcWyH39/f3Tu3BkAcPbs2WL70ackFfZzviDxVJF6hI8ePYrBgwdDT08PgiAgJCQEs2bNQo0aNTBmzBicOXOmKNUTERFRSVGXNZpDo4mICmTbtm0AcudfliaiorKjSIFwv379cODAAURFRWHlypVwc3ODIAhIS0vDn3/+iZ49e8LZ2RmLFy9GZGSkttpMRERExYpDo4mIiuLhw4fYv38/AMDb2xuGhoal3CLKSytZo6tVq4ZPPvkE169fR3BwMGbMmIEqVapAEARERkbi22+/Rd26ddGtWzfs3r27WOc3IyIiInXUBLVMlkVEVGBRUVG4f/8+Tp06haFDhyIrKwtGRkb45JNPSrtppECRskYr4uHhAQ8PD/z88884fPgwfHx88PfffyMnJwf//vsvzp49C0tLS4waNQre3t4VJv02ERFR+SZR8liKgTBVPPfu3UNGRkaBt7O1tYWtrW0xtIikoqKiEB8fX+DtTE1N4ezsXAwtUm/MmDH5pv1asmSJ2kzTfB+WDq0HwlIGBgYYMWIERowYgaioKGzfvh2//voroqOj8ebNG2zcuBEbN26Eq6srpk+fziEDREREZQV7hKmS6NGjR6Fu3/vmm29UThlERffll19i+/btBd7Oy8sL/v7+2m9QAZiYmKB+/fr4+OOPMX78eLXl+T4sHcUWCEulpKTgzJkzOH36NF69egWJRAJBEMS5zMLCwjBz5kwsWbIEa9euxeDBg4u7SURERJWboqBWoqZHmIEwEZFKpRWAd+rUSavzRFcWxRYIX7hwAT4+Pti3bx/evn0LIHcib0tLS4wePRrjxo1DeHg4tm3bhsuXL+PFixcYNmwY/Pz80KtXr+JqFhEREamjcO5Rfsmiiufx48el3QRSwtfXF76+vqXdjBLB92Hp0GogLB0C7evri4cPHwKA+OtEhw4dMHnyZAwfPlycC6pNmzaYPHkyzp07h/HjxyMyMhLfffcdA2EiIqLSxKHRRERUwRU5EM7IyMChQ4fg4+ODf/75Bzk5OWLwa2dnhw8++ACTJ0+Gi4uL0jo6duyIn3/+GUOHDkVYWFhRm0REREQqKQpqmSyLiIgqjyIFwjNmzMCePXvw5s0bALm9vzo6OujVqxcmT56M/v37Q09Ps124uroCAJKSkorSJCIiIioq9ggTEVEFV6RAeOPGjeJjJycnTJw4ERMnToSDg0OB6zI0NEStWrWgo6OVqY2JiIio0BQFwjkl3wwiIqJiUqRAWF9fH4MGDcLkyZPRrVs3SBQm19BMrVq1eKM4ERFRSVCXNVqi6EfpstcjzCypREQVU0l8vhcpEH7+/DmqVq2qrbYQERFRWVDGh0ZLR4/l5LCXmoioIpJ+vhfnaOEiBcI3b94EALRq1QrGxsYabZOWlobAwEAAuUmyiIiIqKwp28my9PX1oauri7dv38LU1LS0m0NERFqWlpYGHR0djfNNFUaRau7UqRN0dHRw48YNNG7cWKNtoqKixO2ysrKKsnsiIiIqFDVZo8t4j7BEIoG5uTkSExNhY2NTpFuziIio7ElOToaJiUmx9ggXuebCjt/mfT1ERERlVdnuEQYAS0tLZGZm4vnz5/xOQURUgcTHxyMlJQUWFhbFup/i62tWQjreW1dXt6R3TURERJpQ2CNctu7HNTExQc2aNfHs2TOkpqbCwsICJiYm0NXVZQ8xEVE5IwgCsrKykJCQgKSkJFhZWcHS0rJY91nigXBkZCQAFPuBERERkRKFyRpdBntdzc3N4eTkhISEBLx58wavX78u7SYREVERGBoaws7ODlZWVsW+rwIFwk+ePFG4/MWLFzAzM1O5bXp6Oh4+fIivv/4aEokETZo0KciuiYiIqMSUnx5VExMTmJiYoHr16sjMzGQmaSKickpXVxd6enolNqqnQIGws7NzvmWCIKBHjx4F3vEHH3xQ4G2IiIhIG9T07iq8Rbjs9QjLkkgkMDAwKO1mEBFROVGgQFhZMoqCJKkwMjLCnDlzMHHixILsmoiIiIqVRMljqbIdCBMRERVEgQJhHx8fuefe3t6QSCRYsmQJHBwclG4nkUhgZGSEGjVqwN3dXe0waiIiIipFZXz6JCIioqIqUCA8fvx4uefe3t4AgEGDBmk8jzARERGVMnXJshT1CJexrNFERERFUaSs0WfPngWg+N5hIiIiKqcUZY3m0GgiIqpAihQIe3l5aasdREREVFZwaDQREVVwin7yJSIiogpNUVDLZFlERFR5aNQjvGPHDvGx7LRHsssLg1MoERERlUHsESYiogpOo0B4woQJkEgkkEgkcsGrdHlh5K2LiIiIygr2CBMRUcWm8T3C2phDmIiIiMoAdVmjFfYIM2s0ERFVHBoFwhEREQVaTkREROWYoqzR/OGbiIgqEI0CYScnpwItJyIiovKMQ6OJiKhiY9ZoIiIiglzwy2RZRERUwTEQJiIiojwKlwiTiIiovGAgTERERPIUjoxmsiwiIqo4NLpHeOLEiVrfsUQiwdatW7VeLxEREamhMGu00ifKtyEiIiqnNAqEfX19Cz1fsCKCIDAQJiIiKqsUZY1msiwiIqpANAqEa9WqpdVAmIiIiMowJssiIqIKTqNA+PHjx8XcDCIiIio5ioJaiZLHqrYhIiIqn5gsi4iIiOSxR5iIiCo4BsJERESVjcJkWWp6hJk1moiIKhAGwkRERCRPYV4Q9ggTEVHFwUCYiIiI5CnKGs2h0UREVIFolCyrTp06AHLn/n348GG+5YWRty4iIiIqKUyWRURElVuBskbnnUKpKNmkOR0TERFRGcVkWUREVMFpFAiPHz++QMuJiIioPGOPMBERVWwaBcI+Pj4FWk5ERERlmLqs0Qp7hJk1moiIKg4myyIiIqI8FAXCJd8KIiKi4sJAmIiIiORx+iQiIqrgNBoaXRCCIODRo0eIi4sDAFhbW6NOnTpMjkVERFRmqMkazWRZRERUwWktED558iTWr18Pf39/vH37Vm6diYkJOnXqhBkzZqB3797a2iUREREVC/YIExFRxVbkodEpKSkYOnQo+vbtCz8/PyQnJ0MQBLm/t2/f4sSJE+jXrx8GDx6cL1AmIiKiMoQ9wkREVMEVqUc4JycHffr0wfnz5yEIAvT19dGjRw94enrCzs4OABAdHY2goCCcPn0aGRkZOHr0KPr06QN/f38OlyYiIioN6rJGK0yWxazRRERUcRQpEN60aRPOnTsHiUSCnj174rfffoODg4PCslFRUfjwww9x8uRJXLhwARs3bsT06dOLsnsiIiIqDkyWRUREFVyRhkZv374dANCqVSv4+fkpDYIBwMHBAceOHYOnpycEQRC3JSIiojJGouDrAYdGExFRBVKkQPj27duQSCT45JNPoKOjvipdXV3MnTtX3JaIiIhKg5qs0UyWRUREFVyRAmHpPb7169fXeBsXFxe5bYmIiKiMYbIsIiKq4IoUCNetWxcA8OrVK423kZaVbktERERlAJNlERFRJVKkQHjUqFEQBAE7duzQeJsdO3ZAIpHg/fffL8quiYiIqLDU9e4yWRYREVVwRQqE58yZAw8PD/z555/48ccf1ZZfsWIFdu/eDXd3d3z88cdF2TUREREVGw6NJiKiik2j6ZOePHmidN1vv/2GqVOnYsGCBdi9ezfGjx+PVq1awdbWFhKJRJxHeOfOnQgNDUWrVq2wefNmvHz5ErVq1dLagRAREZGm1CTLUpQ1mj3CRERUgWgUCDs7O2tU2Y0bNzBv3jyVZYKDg+Hh4QGJRIKsrCyN6iUiIqISpDBZVsk3g4iIqLhoFAgLHA5FRERUyfG7ABERVRwaBcI+Pj7F3Q4iIiIqKYp+4JbtBVbYI8ys0UREVHFoFAiPHz++uNtBREREZQaTZRERUcVWpKzRREREVAFx+iQiIqrgGAgTERFVOoXIGs0eYSIiqkAYCBMREVEe7BEmIqKKTaN7hDWRlJSEM2fO4Pr164iNjUVqaqrKbNMSiQRbt27V1u6JiIhIWxQmy2IgTEREFUeRA+GcnBwsWbIEK1euxNu3bzXaRhAEBsJERESlRV3WaIXJspg1moiIKo4iB8ITJkzA77//DkEQoKuri6pVq+LVq1eQSCSoWbMm4uPjkZycDCC3F7hatWowMTEpcsOJiIiomDBZFhERVXBFukf41KlT2LVrF4DcgPjVq1c4c+aMuD4yMhKJiYm4ffs25syZAx0dHVhZWeGvv/5CRERE0VpORERExYPJsoiIqIIrUiDs4+MDAGjSpAm2bdsGKysrSBT8itygQQP88ssvOHjwIB4+fIg+ffogISGhKLsmIiKiQlOTNZrJsoiIqIIrUiB8+fJlSCQSzJw5U6Py/fv3x/jx4xEZGYk1a9YUZddERERUXJgsi4iIKrgiBcKvXr0CANSvX19cpqurKz5OT0/Pt82wYcMgCAIOHTpUlF0DAFJTU7Fw4ULUr18fRkZGsLe3x8SJExEVFVXguuLj4/HRRx/ByckJhoaGcHJywscff4w3b96o3C45ORmLFy9G06ZNYWZmBktLS7i6umLmzJnivdFERERlnrpkWewRJiKiCkQr8whbW1uLj83NzcXH0kBZlq2tLQDg8ePHRdpnWloaunTpgiVLliA5ORkDBw6Eo6MjfHx84O7ujkePHmlcV2xsLDw9PbFmzRro6elh0KBBMDc3x+rVq9G6dWvExcUp3C4iIgJNmzbFokWL8PbtW/Tu3RteXl7IzMzE+vXr1QbRREREpUJd7y57hImIqIIrUiBsZ2cHAHKBop2dHQwMDAAAN27cyLdNZGQkgNxAtiiWLl2Ky5cv47333sO9e/ewZ88eXLlyBStXrkRMTAwmTpyocV0ff/wxHjx4gCFDhuDu3bvYs2cPwsPDMXv2bNy7dw9z587Nt016ejp69+6NJ0+eYOPGjXj48CH27duHo0eP4u7duwgLC5P7gYCIiKj8YCBMREQVW5ECYTc3NwDArVu3xGV6enpwd3cH8C6ZlqwNGzYAAJycnAq934yMDKxduxYAsG7dOpiZmYnr5s6di6ZNmyIgIABXr15VW9eLFy+we/duGBgYYP369dDTezej1IoVK2BjY4Ndu3bl691evXo17t69i7lz52Lq1Kn56nV1deU0UUREVEapSZbF6ZOIiKiCK1Ig3KlTJwiCIDdlEgCMHTtWvA94/Pjx8PPzw969e9G3b1+cOXMGEokEAwcOLPR+L168iISEBNStW1cMumUNGzYMAHDs2DG1dZ08eRI5OTno0KGD2MMtZWhoiP79+yM7OxsnTpyQW7dlyxYAwOzZswt7GERERGUTh0YTEVEFV6RAePDgwQByg8no6Ghx+dSpU+Hh4QFBELBr1y4MGDAAo0aNwsmTJwEAtWrVwmeffVbo/V6/fh0A4OHhoXC9dLmiodnaqOvp06d48OABatasCUdHR1y8eBGfffYZpk2bhh9++AEPHjzQ/GCIiIjKHPYIExFRxVakQNjZ2RmPHj1CeHg4LCwsxOV6enr4+++/MWbMGOjp6UEQBAj//0ty3759cf78eVhZWRV6v0+ePAEA1KxZU+F66XLp/cjarks6FNze3h4zZ85E+/bt8eOPP2LTpk34/PPP0ahRI6xcuVLDoyEiIiphCkdGqxkazR5hIiKqQIqcNbp27dqoW7cujI2N5ZZbWVlh586diI2NRXBwMC5fvoyYmBgcO3ZMadCpKem0RMruwTU1NQUAJCUlFUtd8fHxAICQkBBs3LgRixYtwtOnT/HixQv88MMPAIBPP/0Ufn5+Kvednp6OxMREuT8iIqLSpygQzin5ZhARERUTrUyfpIq5uTk8PDzg6elZYbIo5+TkfhnIysrC1KlT8c0336BmzZqoXr065s+fj08++QQA8P3336usZ9myZbC0tBT/HB0di73tREREajFZFhERVXDFHggXB2mW6JSUFIXr3759C0B+TmNt1iWbpdrb2zvfNtJlV65cUTlN1IIFC5CQkCD+PX36VG17iYiIik7dPMIKvh5waDQREVUgeuqLaO7Vq1fw9/dHWFiYOLewtbU1XF1d0alTp3xZmQurVq1aAIBnz54pXC9drskUTYWpS/Zx7dq1820jXZadnY24uDjY29srrNvQ0BCGhoZq20hERFSy2CNMREQVm1YC4aioKMybNw+HDh1CVlaWwjK6uroYPHgwVqxYIQafhdWsWTMAuffoKiJd3rRp02Kpq2HDhjAyMkJaWhri4+NhY2Mjt430RwBAvveYiIioXGCyLCIiquCKPDT6woULcHV1xb59+5CZmSlmiM77l5WVhf3796Np06a4cOFCkfbZrl07WP5fe/cdH0W193H8u+kJkEDoJQQiIB3pTS5Y6Aal2yl2pYndqwLqtVwFG6BYQL08eOlS5FpAQARpUqMUpQSl11CTkOQ8f8Rds9ndZJPdsMnm8369VsPMaTOzM7u/PWfOREVpz5492rJli8P6OXPmSJLi4+NzLatbt24KCAjQqlWrdOzYMbt1KSkpWrRokQIDA9WjRw/b8tDQUHXt2lWStGLFCocyV65cKUmKi4uzm00bAIBCwVlQaxf8MlkWAMC/eRQIHzp0SPHx8UpKSpIxRt27d9fs2bOVmJio5ORkJScnKzExUXPmzFGPHj1kjNHZs2cVHx+vQ4cO5bvekJAQDRs2TJL0yCOP2O7jlaQJEyZo27Zt6tixo5o3b25bPnHiRNWtW1fPPPOMXVmVK1fWbbfdptTUVD388MN2PdpPPvmkjh8/rjvvvFMVKlSwy/fkk09Kkl566SXt3r3btnzfvn16/vnnJUkPPvhgvrcRAACfYbIsAICf82ho9KuvvqqkpCQFBgZq2rRpuvPOOx3SxMTEKCYmRn369NGMGTN099136+zZs3rttdf07rvv5rvu5557TkuXLtWaNWtUu3ZtdejQQYmJiVq3bp3Kly+vqVOn2qU/ceKEdu3apcOHDzuU9fbbb2vt2rWaO3eu6tatqxYtWuiXX35RQkKCateurQkTJjjkadeunV544QW9+OKLatq0qdq3b6/AwECtXr1a586dU/fu3TV69Oh8bx8AAL7jLBAGAMB/eNQjvGTJElksFt13331Og+Dsbr/9dt1///0yxuT6jN3chIWFafny5Xr++ecVERGhL7/8UomJiRo8eLA2bdqkuLg4t8sqV66c1q9fr+HDhys1NVXz589XUlKSRowYofXr17t87NO4ceM0d+5cNW/eXGvXrtXKlSt11VVX6a233tLChQsVGBjo0TYCAFAwnPXuZgl+nc0aLXGfMADAb1iMyf+nWnh4uFJTU7V06VJdd911buVZvny5brjhBoWGhurSpUv5rdovnT17VlFRUUpKSuLeYgBAwZncVjr2q/2ymh2lQQsz//7mn9JPEx3zvXBaCiiST14EABQDeYmnPPo0K1OmjCQpKirK7TzWtNa8AACgEHB6X3B29AgDAPyDR4FwixYtJEnbt293O481rTUvAAC4wnIbDOYqKGbmaACAn/AoEB4xYoSMMfr3v/+tixcv5pr+4sWLev3112WxWDR8+HBPqgYAAAXGVSBMjzAAwD94FAjfeOONGjNmjHbs2KFOnTo5faav1datW3Xddddp165dGjNmjDp37uxJ1QAAwKuyTpblapg0gTAAwD+49fikF1980eU6i8WiFi1aaOPGjWrevLkaNWqkli1bqkKFCrJYLDp69Kg2bNjgMCT6xRdf1AsvvOCFTQAAAHmT29BoZo0GAPg3twLhsWPHypLLJBoWi0XGGG3fvt3pPcPGGFksFm3cuFEbN26UJAJhAAAKJXqEAQD+za1AWMoMZD1N58GTmgAAgLc4+zy2uDE0ms9xAICfcCsQzshglkgAAIoPZo0GAPg3jybLAgAAfojJsgAAfo5AGACAYsdZQGtx8XfWbATCAAD/QCAMAADsuZo1mh5hAICfcHuyrNycOnVK06ZN09KlS5WQkKBTp05JkqKjo9WwYUPdeOONGjJkiKKjo71VJQAAKAhMlgUA8HNeCYSnTJmixx9/XBcvXpRkPzv0wYMHdejQIX377bcaO3asxo8fr/vvv98b1QIAgPzIbdZoHp8EAPBzHgfCr732mv75z3/agt+oqCg1bdpUlSpVkiQdOXJEmzdvVlJSki5cuKCHHnpIZ86c0ZNPPulp1QAAoCDQIwwA8HMeBcIJCQl6/vnnZYxR5cqV9cYbb6h///4KDg62S5eWlqbZs2friSee0KFDh/Tcc8+pZ8+eatCggUeNBwAABYFAGADg3zyaLGvixIlKT09X+fLl9dNPP+n22293CIIlKSgoSLfddpt++uknVahQQenp6Zo4caInVQMAgHzLZdZoVyOjGRoNAPATHgXC33//vSwWi5555hlVr1491/QxMTF66qmnZIzRsmXLPKkaAAAUFFezRtMjDADwEx4FwgcPHpQktWvXzu087du3lyQdOnTIk6oBAIA3MVkWAKAY8SgQDgwMlJR5D7C70tPTMysO4BHGAAD4RG49u0yWBQDwcx5Fo9bh0HkZ5mxN685QagAA4AuuAuGMK9sMAAAKiEeBcOfOnWWM0Ztvvqnt27fnmj4hIUFvvPGGLBaLunTp4knVAADAq7JOlsXQaACAf/MoEB41apRCQ0N1/vx5XXvttXrzzTd18uRJh3QnT57Um2++qQ4dOujcuXMKDQ3VqFGjPKkaAADkW24BLUOjAQD+zaPnCMfGxmrKlCkaMmSIzp8/r6eeekpPP/20atasqQoVKshisejo0aPat2+fjDEyxshisWjKlCkMjQYAoLByNWs0PcIAAD/hUSAsSXfffbfKli2rBx54QIcOHZIxRnv27NHevXslSSbLr8dVqlTRhx9+qB49enhaLQAA8CaLG0Oj6REGAPgJjwNhSerZs6f279+v+fPna+nSpUpISNCpU6ckSdHR0WrYsKFuvPFG3XLLLQoODvZGlQAAIL9yDWiZLAsA4N88CoQPHDggSSpZsqSio6PVv39/9e/f3ysNAwAAPsJkWQAAP+fRZFk1atRQzZo19d///tdb7QEAAAXOWUBrcfF31mwEwgAA/+BRIBweHi5JatmypVcaAwAACgF6hAEAfs6jQLhq1aqSpPT0dK80BgAAFAKuZo2mRxgA4Cc8CoS7dOkiSfrxxx+90hgAAHAFOAtoXfYCAwDgfzwKhEeOHKnw8HC9+eabOnjwoLfaBAAAfMnl45OYNRoA4B88CoRr166tGTNm6OLFi2rTpo1mzJih1NRUb7UNAAD4BJNlAQD8m0ePT7r++uslSeXLl9e+fft011136Z577lHt2rVVpkwZBQYGusxrsVi0bNkyT6oHAAD5ksus0UyWBQDwcx4FwitWrJAly4elMUYpKSlKSEhwmcdiscgYY5cPAAAUJvQIAwD8m0eB8D/+8Q8CWgAA/EHWz3NXs0bTIwwA8BMe9wgDAIAiJrd41uVkWQTCAAD/4NFkWQAAwB8xazQAwL/lu0f4xIkTOnDggNLT01WlShVVrVrVm+0CAAC+wmRZAAA/l+ce4f/9739q2bKlKlasqJYtW6pNmzaqXr26ateurY8//rgg2ggAALwq17HRLrIRCAMA/EOeAuH3339f8fHx2rRpk4wxdq89e/bogQce0MMPP1xQbQUAAFcCPcIAAD/ndiC8Z88ePfroo7bANzY2Vn379tWtt96qBg0aSMp8fNKUKVO0ZMmSAmswAAAoAO7MGk2PMADAT7gdCE+ZMkWpqamSpHfffVd79+7V7NmzNWPGDG3fvl2LFi1SRESEbT0AACikcg1o6REGAPg3twPhFStWyGKxaNCgQRo2bJjD84N79uypcePGyRij1atXy/CrMQAARZPLxycxazQAwD/kaWi0JPXv399lmgEDBkiSLl68qMOHD3vYNAAAUDCc/VhtcfF3LtkAACiC3A6Ek5KSJEnVqlVzmSbrunPnznnQLAAA4DNMlgUA8HNuB8IZGZnDoQIDA12myTpcOj093YNmAQAAn3E5NJpAGADgH/L8HGEAAFDEOQtoLW4MjaZHGADgJ/IcCGefJMvTdAAAoJChRxgA4OeC8pqhYcOGOa63BsDupEtLS8tr9QAAoMAxazQAwL/lORDmsUgAABR1ucwazWRZAAA/53Yg/I9//IPhzgAAFAsMjQYA+De3A+EVK1YUYDMAAIBPZf2x2+JqChECYQCAf2DWaAAAipvcenaZLAsA4OcIhAEAQDZMlgUA8G8EwgAAQEyWBQAoTgiEAQAodnILaBkaDQDwbwTCAADAHj3CAAA/RyAMAADcmzWaHmEAgJ8gEAYAoLjJNaClRxgA4N8IhAEAgD2XcTCBMADAPxAIAwAA2Ue/TJYFAPBvBMIAABQ7uQS0TJYFAPBzQZ5kfvHFFyVJrVu3VteuXb3SIAAA4Gv0CAMA/JtHgfDYsWNlsVg0f/58b7UHAAAUNGcBrTuzRtMjDADwEx4NjS5btqwkqXr16l5pDAAAKARcDY2mRxgA4Cc8CoRr1aolSTpy5IhXGgMAAAoDV4FwxpVtBgAABcSjQHjgwIEyxmjWrFneag8AAChwznp2sw6NZrIsAIB/8ygQfvjhh9WkSRN9/vnn+vTTT73UJAAA4FsMjQYA+DePJss6cuSIPv74Y91zzz265557NGPGDN1+++1q3LixypQpo8DAwBzzc28xAACFhIUeYQBA8eFRIFyjRg1Z/vqwNMZo2bJlWrZsmVt5LRaL0tLSPKkeAADkR249u65mjaZHGADgJzwKhKXMANjZ3wAAoKiiRxgA4N88CoSnTZvmrXYAAACfcmNoNLNGAwD8hEeB8KBBg7zVDgAAcMXk1rPLZFkAAP/m0azRAADAD7mcLAsAAP9AIAwAALIFv/QIAwD8m8eTZWV19OhRrVixQgkJCTp16pQkKTo6Wg0bNlSnTp1UsWJFb1YHAADyI9dZo5ksCwDg37wSCB8+fFijR4/WvHnzXD4SKSgoSH379tX48eNVuXJlb1QLAAAKApNlAQD8nMdDo7du3arGjRtr1qxZunz5sowxTl+XL1/WzJkz1aRJE23fvt0bbQcAAF7D0GgAQPHhUSB84cIF9ezZUydPnpQxRjfeeKNmzpyp/fv3Kzk5WcnJydq/f79mzZqlLl26yBijEydOqGfPnrp48aK3tgEAAOQJQ6MBAMWbR4HwxIkTdejQIQUEBOijjz7St99+q/79+6t69eoKCQlRSEiIqlevrn79+unrr7/Wxx9/LIvFooMHD2rSpEne2gYAAOBV9AgDAPybR4HwggULZLFYNHjwYN1zzz25ph86dKiGDBkiY4zmz5/vSdUAAMCbsvYC0yMMAPBzHgXCu3fvliTdeuutbue57bbb7PICAIArLLd41uLi6wE9wgAAP+FRIHz+/HlJmY9IcleZMmUkZd5fDAAACiNmjQYA+DePAuHy5ctLknbs2OF2np07d0qSypUr50nVAAAg35z17DI0GgBQfHgUCLdp00bGGE2YMMHl84OzSktL04QJE2SxWNSmTRtPqgYAAAWGybIAAP7No0D47rvvliRt2bJFPXv21KFDh1ymPXTokOLj47Vp0yZJ0uDBgz2pGgAAeJPdY4TpEQYA+LcgTzLHx8frlltu0ZdffqmlS5cqLi5OXbp0UevWrVWhQgVZLBYdPXpU69at03fffafU1FRJUu/evdWzZ0+vbAAAAMijXHt26REGAPg3jwJhSfriiy909913a/bs2UpNTdVXX32lr776yiGd+evDs3///vr88889rRYAABQUV7NG0yMMAPATHg2NlqTQ0FDNnDlTixYtUvfu3RUeHi5jjN0rPDxc3bt31+LFizVz5kyFhoZ6o+0AAMBr3Jgsix5hAICf8LhH2Kpnz57q2bOn0tPTtXfvXp06dUpS5qOV4uLiFBgY6K2qAACAR/IZ0BIIAwD8hNcCYavAwEDVrl3b28UCAIArhcmyAAB+zuOh0b506dIlvfDCC6pTp47CwsJUpUoVDR06VAcPHsxzWadPn9bIkSMVGxur0NBQxcbGatSoUTpz5oxb+VNTU1W/fn1ZLBYFBXn99wUAAAqWXfDL0GgAgH8rsoFwcnKyrr/+er300ks6f/68br75ZsXExGjatGlq2rSp9u7d63ZZJ06cUKtWrfTuu+8qKChIt9xyi0qVKqV33nlHrVu3tg3zzskrr7yinTt3erJJAABcGbkFtPQIAwD8nFtdl0OHDpUkWSwWffLJJw7L8yN7WXn18ssva+3atWrbtq2+/fZblSxZUpI0YcIEPfbYYxo6dKhWrFjhVlmjRo3S77//rj59+mjmzJm2Ht0RI0bovffe0+jRo/Xpp5+6zL9jxw69+uqruu+++/Thhx/me5sAACgUXM0aTY8wAMBPWIzJ/VMtICBAlr9+HU5PT3e6PC+MMbJYLHZl5UVqaqoqVKigpKQkbdq0SU2bNrVb36RJE23btk0bN25U8+bNcyzr8OHDqlatmoKCgnTgwAFVrFjRti4lJUUxMTE6deqUDh06pAoVKjjdln/84x/avXu3du7cqejoaAUGBiotLS3P23X27FlFRUUpKSlJkZGRec4PAIBb/lVFunzBflmzQVKvdzP/PvOH9HZDx3xd/iW1G1bw7QMAIB/yEk+51SNcvXp1pwGvq+UFbfXq1UpKStJVV13lEARLUr9+/bRt2zYtWrQo10D466+/VkZGhjp06GAXBEuZj4aKj4/X1KlTtWTJEg0ePNgh/5QpU/Tjjz/qP//5j8qUKePRdgEAcGUwNBoAULy5FQjv378/T8sL2tatWyVJzZo1c7reunzbtm1eKWvq1KlOyzp8+LCefvpp3XDDDbrzzjvdajsAAIUfk2UBAPxbkZws68CBA5KkatWqOV1vXZ6YmFigZQ0bNkzJycmaPHly7o0GAKAwy9oLTI8wAMDPefScn88//1ySdPXVV6t169ZeaZA7zp8/L0mKiIhwur5EiRKSpHPnzhVYWQsWLNC8efM0ZswY1alTx72GZ5OSkqKUlBTbv8+ePZuvcgAAyJNce3bpEQYA+DePeoQHDx6sIUOGuNXz6k/OnTunYcOGqU6dOnrmmWfyXc6rr76qqKgo2ysmJsaLrQQAIJ9czRpNjzAAwE94FAhHRUVJkmrXru2VxrjL+qikixcvOl1/4ULmTJilSpUqkLKeffZZ/fnnn5o8ebJCQ0Pdb3g2zzzzjJKSkmyvP/74I99lAQDgPmcBrRtDo01GgbQGAIArzaOh0TVr1tTWrVt1+vRpb7XHLdWrV5ck/fnnn07XW5fHxsYWSFmLFi1SWFiYXnrpJb300ksOedLT09WpUydJ0ttvv61rrrnGadmhoaEeBdIAABQMhkYDAPybR4Fw7969tWXLFi1atEjXX3+9t9qUqyZNmkiSNm3a5HS9dXnjxo0LrKzk5GStXLnSZbnWdWfOnMm1DQAA+ByTZQEAihGPhkaPHDlSsbGxev/997Vs2TJvtSlX7du3V1RUlPbs2aMtW7Y4rJ8zZ44kKT4+PteyunXrpoCAAK1atUrHjh2zW5eSkqJFixYpMDBQPXr0sC3fv3+/jDFOX5IUGBho+7e1ZxgAgEIj35Nleb0lAAD4hEeBcGRkpL777jvVrVtX3bp10/33368VK1bo1KlTtqCwIISEhGjYsGGSpEceecR2H68kTZgwQdu2bVPHjh3VvHlz2/KJEyeqbt26DpNbVa5cWbfddptSU1P18MMPKy0tzbbuySef1PHjx3XnnXeqQoUKBbY9AAAUKvQIAwD8nEdDowMDA21/G2P0ySef6JNPPnErr8VisQs68+q5557T0qVLtWbNGtWuXVsdOnRQYmKi1q1bp/Lly2vq1Kl26U+cOKFdu3bp8OHDDmW9/fbbWrt2rebOnau6deuqRYsW+uWXX5SQkKDatWtrwoQJ+W4nAABFA5NlAQCKD496hLMPCXY1XDinYcT5FRYWpuXLl+v5559XRESEvvzySyUmJmrw4MHatGmT4uLi3C6rXLlyWr9+vYYPH67U1FTNnz9fSUlJGjFihNavX6/o6GiP2goAQOHCc4QBAMWbxXgQkY4bN86jyseMGeNRfn9z9uxZRUVFKSkpSZGRkb5uDgDAX71UXkpPtV/W4h7ppr9GQCUnSa9Vd8zX8SnpumcLvn0AAORDXuIpj4ZGE8gCAOAn7IZD0yMMAPBvHg2NBgAARVBuAS2TZQEA/ByBMAAAsGdx8fWAHmEAgJ/waGh0dnv27NFPP/2kI0eO6OLFi3r44YdVrlw5b1YBAAAKhDtDo5k1GgDgH7wSCG/atEmjRo3S6tWr7Zb369fPLhCeNGmSxo0bp6ioKP36668KDg72RvUAACBPGBoNACjePB4avXjxYrVv316rV6/O9dFId999ty5duqS9e/dq8eLFnlYNAAAKBJNlAQD8m0eB8OHDh3XbbbcpJSVF9evX1//+9z+dO3fOZfpSpUqpV69ekqT//e9/nlQNAAC8KWsvMD3CAAA/51Eg/NZbb+nChQuKjY3VqlWr1LVrV5UoUSLHPJ06dZIxRj///LMnVQMAgPzKtWeXHmEAgH/zKBD++uuvZbFY9Nhjj6l06dJu5albt64kad++fZ5UDQAACoqrWaPpEQYA+AmPAuHExERJUqtWrdzOExkZKUk6f/68J1UDAACvcmNoND3CAAA/4VEgnJaWJknKyHD/cQpJSUmSpJIlS3pSNQAAyDeGRgMAijePAuFKlSpJkvbu3et2nvXr10uSqlev7knVAADAm5gsCwBQjHgUCHfo0EHGGM2ePdut9KmpqZoyZYosFos6derkSdUAACC/cuvZZWg0AMDPeRQIDx48WJK0cOFCfffddzmmTU1N1d133609e/bIYrHovvvu86RqAABwxREIAwD8g0eBcKdOnTRw4EAZYxQfH6+nnnrKNvRZkvbv3681a9bojTfeUIMGDTR79mxZLBY9+OCDatCggceNBwAA3pKtF9jZzNH0CAMA/ESQpwV8+umnOnfunJYsWaI333xTb775pix/DamKj4+3pTN/fXj26dNH77zzjqfVAgCAfHMnoHUyPNq4PzkmAACFmUc9wpIUGhqqxYsXa8qUKYqLi5MxxumrWrVqmjx5subMmaPAwEBvtB0AABQUp/cJ0yMMAPAPHvcIW913332677779Ouvv2rjxo06duyY0tPTVbZsWTVt2lTNmjWz9RQDAIBCxuEz2lmPMIEwAMA/eC0Qtqpfv77q16/v7WIBAMCVRI8wAMCPeRQIf/7555KkW265RZGRkW7lOX/+vObNmydJuvvuuz2pHgAAFBh6hAEA/sujQHjw4MGyWCxq0aKF273AR48e1eDBgxUQEEAgDABAoeHGrNH0CAMA/ITHk2Xll+FXZQAArjx3P3+dDY1m1mgAgJ+44oFwenq6JCkoyOu3JwMAAK9haDQAwH9d8UB4165dkqTo6OgrXTUAAHAlew8wk2UBAPxYnrplf/jhB6fLN2zYoBMnTuSYNyUlRXv27NGbb74pi8Wia665Ji9VAwAAb3C7V9dZj7BXWwIAgM/kKRDu1KmTw7OAjTEaOnSo22UYY2SxWPTAAw/kpWoAAHAl0SMMAPBjeR4abYyxvZwty+1VrVo1TZo0Sbfccos3twMAAHgTk2UBAPxYnnqEly9fbvvbGKPrr79eFotFn3zyiWrWrOkyn8ViUVhYmCpXrqyYmJj8txYAAHjIk6HR9AgDAPxDngLhjh07Ol3eqlUrt58jDAAACiEmywIAFCMePcNo3759kqSqVat6pTEAAKCwoEcYAOC/PAqEY2NjvdUOAABwJbgbzNIjDADwYx4Fwu5YtGiRZs2apRMnTqhmzZq699571axZs4KuFgAA5En2wJceYQCA/8rzrNFZLV++XBUqVFD16tV15swZh/XPP/+8brnlFs2YMUPffvutpkyZojZt2ug///mPJ9UCAIB8c7dH2MlXBGaNBgD4CY8C4SVLlujEiRNq2bKlSpcubbdu27ZteuWVV2yPTSpdurSMMUpLS9MDDzyg/fv3e1I1AAAoSAyNBgD4MY8C4R9//FEWi0U33nijw7r3339fxhiVKVNGP//8s06ePKn169crOjpaKSkp+uCDDzypGgAAeJND4MvQaACA//IoED58+LAkqUGDBg7rFi9eLIvFomHDhqlp06aSpBYtWmjYsGEyxmjp0qWeVA0AAPKDybIAAPAsED5+/LgkOQyL3rNnjw4ePChJ6t27t926Dh062NIAAIDCih5hAID/8igQNn99ICYlJdktX7VqlSQpKipK11xzjd26smXLSpIuXrzoSdUAAMCrsgW+9AgDAPyYR4FwpUqVJEk7duywW/7NN99Iktq3b++Q58KFC5KkMmXKeFI1AADIF09mjSYQBgD4B48C4TZt2sgYo/fff9/Ww7t3714tWLBAFotFnTt3dsize/duSX8H0QAAoDBiaDQAwH95FAjfe++9kjIfldSwYUP169dPbdq0UXJyssLDw3X77bc75Pnhhx8kSXXq1PGkagAA4E3Zh0I7GxnN0GgAgJ/wKBC+/vrrNXLkSBljtH//fs2fP18nTpyQJL3xxhsqV66cXfrk5GRbb/E//vEPT6oGAAD54XavLj3CAAD/FeRpAW+99ZZuuOEGzZ49W0eOHFHlypV199136/rrr3dIu3DhQkVGRioqKkrx8fGeVg0AAAoKk2UBAPyYx4GwJN1000266aabck03YMAADRgwwBtVAgAAr8oe+DrrEc64Ii0BAKCgeTQ0GgAAFDVu9uoGhjguS0vxblMAAPARr/QIZ5eWlqbTp09LynxMUlBQgVQDAAC8JftQ6JAIxzSXL16ZtgAAUMC81iO8Y8cODR8+XPXq1VNYWJgqVaqkSpUqKSwsTPXq1dOIESP066+/eqs6AABQkIJLOC5LJRAGAPgHrwTCzzzzjBo3bqzJkydr165dysjIkDFGxhhlZGRo165dmjRpkpo0aaJnn33WG1UCAID8cHfmZ6c9whe82xYAAHzE4zHLw4cP1+TJk2X++mCtV6+eWrdurUqVKkmSjhw5ovXr1+vXX39Venq6Xn/9dV24cEHvvPOOp1UDAACvyTY0OthJIEyPMADAT3gUCK9evVqTJk2SxWJR/fr19eGHH6pdu3ZO0/7000968MEHtX37dk2cOFEDBw50mRYAAPhYiJOh0dwjDADwEx4NjZ4yZYokqWbNmlq9enWOgW3btm31ww8/KC4uTpL0wQcfeFI1AADIFzeHRjvtEb7g/tBqAAAKMY8C4VWrVslisejpp59WVFRUrumjoqL01FNPyRijVatWeVI1AADwJndmjZaR0pKvSHMAAChIHgXCR44ckSQ1bdrU7TzNmjWTJB09etSTqgEAQH6426PrbNZoifuEAQB+waNAOCwsTJJ04YL7s0ha04aGhnpSNQAAKEhOe4TFzNEAAL/gUSBcs2ZNSdKiRYvczmNNa71XGAAAFAZuzBot0SMMAPALHgXCPXr0kDFG7733npYtW5Zr+uXLl+u9996TxWJRjx49PKkaAADki7vPEXYxNJoeYQCAH/AoEB41apQiIyN1+fJlde/eXcOGDdOmTZuUkZFhS5ORkaFNmzZp2LBh6tatm1JTUxUZGalRo0Z52nYAAFBQXAXC9AgDAPyAR88RLleunGbNmqVevXopNTVV77//vt5//32FhIQoOjpaFotFJ0+eVGpqqiTJGKOQkBDNnj1bZcuW9coGAAAAL8g+a7SrodE8SxgA4Ac86hGWpC5dumjt2rVq0aKFjDEyxiglJUWHDx/WoUOHlJKSYlveokULrVu3TjfeeKM32g4AAPLK3VmjXfYIMzQaAFD0edQjbHXNNddo/fr12rBhg5YuXaqEhASdOnVKkhQdHa2GDRvqxhtvVMuWLb1RHQAAKGj0CAMA/JhXAmGrli1bEuwCAFAkZRsazT3CAAA/lq9A+KuvvtLXX3+txMREpaenq0qVKurUqZMGDBig4OBgb7cRAAB4jZtDo132CDM0GgBQ9OUpED569KhuueUWrV+/3mHd1KlT9cILL+jLL79Uo0aNvNZAAABwBWSfLCuE5wgDAPyX25Nlpaenq1evXlq3bp1t8qvsr3379qlr1646ceJEQbYZAAAUtGBXzxEmEAYAFH1uB8KzZs3Shg0bZLFYVKtWLX3yySfavn27du7cqdmzZ6tNmzaSMnuNx48fX2ANBgAAHnB31ujAICkwxHE5s0YDAPxAngJhSapRo4bWr1+vIUOGqEGDBqpTp4769u2rVatWqWPHjjLGaPbs2QXWYAAAUBAsjouc3SdMjzAAwA+4HQhv3rxZFotFjz32mEqXLu2wPjAwUOPGjZMk7du3T+fOnfNaIwEAgA84mzmaHmEAgB9wOxA+fvy4JKlFixYu02Rdx33CAAAURm4OjZboEQYA+C23A+FLly5JkkqWLOkyTUTE3x+YycnJHjQLAABcUdlnjZaczxzNrNEAAD/gdiCcV8bdyTgAAMCVk5fPZ2czR/McYQCAHyiwQBgAABRx9AgDAPxUUF4zTJ48WRUqVPBKuhdeeCGv1QMAgALBrNEAgOIjz4Hw+++/n+N6y1/3GOWWTiIQBgCgUHM6azSBMACg6MtTIOzN+34tziblAAAAhYfTHmHuEQYAFH1uB8LLly8vyHYAAABfcvb7tLN7hDPSpLRUKSikwJsEAEBBcTsQ7tixY0G2AwAAXAmezhotZfYKEwgDAIowZo0GAADOOesRlrhPGABQ5BEIAwAAuT1rtMTM0QCAIo9AGACAYiUPQ6OdzRotSalMmAUAKNoIhAEAgOTsaQ70CAMA/BSBMAAAcC4ozPnytJQr2w4AALyMQBgAgOIkL7NGB7p4uERGunfaAgCAjxAIAwAAOZ0sKyDYedKMywXbFAAAChiBMAAAcC7ARY9wOoEwAKBoIxAGAKBYycvQaFc9wmneaQoAAD5CIAwAAJzPGh0Q6DwtgTAAoIgjEAYAAM65ukeYodEAgCKOQBgAgOIkT7NGMzQaAOCfCIQBAICczxrt6vFJ9AgDAIo2AmEAAIqVPPQIuwyEeY4wAKBoIxAGAADOuRoazT3CAIAirkgHwpcuXdILL7ygOnXqKCwsTFWqVNHQoUN18ODBPJd1+vRpjRw5UrGxsQoNDVVsbKxGjRqlM2fOOKS9fPmyvv32Ww0bNkwNGzZURESEwsPDVa9ePT3++OM6fvy4F7YOAIAryOms0QyNBgD4pyIbCCcnJ+v666/XSy+9pPPnz+vmm29WTEyMpk2bpqZNm2rv3r1ul3XixAm1atVK7777roKCgnTLLbeoVKlSeuedd9S6dWudOnXKLv3KlSvVtWtXTZo0SRcuXFD37t3VuXNnnThxQuPHj1fjxo21a9cub28yAACey8tkWa5mjWayLABAEVdkA+GXX35Za9euVdu2bbV7927NnDlT69at0/jx43X8+HENHTrU7bJGjRql33//XX369NGuXbs0c+ZMJSQkaPjw4dq9e7dGjx5tlz4gIEADBgzQunXrtG/fPs2dO1cLFy7U77//rq5du+rIkSMaMmSItzcZAIArK9BFj3A6gTAAoGizGJOXn4YLh9TUVFWoUEFJSUnatGmTmjZtare+SZMm2rZtmzZu3KjmzZvnWNbhw4dVrVo1BQUF6cCBA6pYsaJtXUpKimJiYnTq1CkdOnRIFSpUyLVthw4dUtWqVSVJ+/fvV2xsrNvbdfbsWUVFRSkpKUmRkZFu5wMAwG1nD0sT6jou7/yS1H6E/bLUC9IrVRzTdnhMuuGFgmkfAAD5lJd4qkj2CK9evVpJSUm66qqrHIJgSerXr58kadGiRbmW9fXXXysjI0MdOnSwC4IlKTQ0VPHx8UpPT9eSJUvcaluVKlVUvnx5SZlBMQAAhQtDowEAKJKB8NatWyVJzZo1c7reunzbtm1XtCxJOnPmjE6fPi1JqlSpklt5AADwubxMlsXQaABAEVckA+EDBw5IkqpVq+Z0vXV5YmLiFS1LkiZNmqS0tDQ1atRINWvWdCsPAACFUkCAZHHyVYFZowEARZyLn3oLt/Pnz0uSIiIinK4vUaKEJOncuXNXtKzNmzfr5ZdfliS9/vrruaZPSUlRSkqK7d9nz57NNQ8AAB7J69QgAcFSeor9MoZGAwCKuCLZI1wYHT16VH369FFycrJGjRql7t2755rn1VdfVVRUlO0VExNzBVoKAIAzToZGS86HR6fTIwwAKNqKZCBcsmRJSdLFixedrr9w4YIkqVSpUlekrHPnzqlHjx7av3+/+vfvr/Hjx+daryQ988wzSkpKsr3++OMPt/IBAHDFOHuEUkb6lW8HAABeVCSHRlevXl2S9Oeffzpdb13uzqOLPC0rOTlZvXr10qZNm9SlSxdNnz5dAQHu/b4QGhqq0NBQt9ICAOAd+RganR33CAMAirgi2SPcpEkTSdKmTZucrrcub9y4cYGWlZaWpoEDB2rFihVq166d5s2bp5CQkNw3AACAwsbZrNESQ6MBAH6pSAbC7du3V1RUlPbs2aMtW7Y4rJ8zZ44kKT4+PteyunXrpoCAAK1atUrHjh2zW5eSkqJFixYpMDBQPXr0sFtnjNGQIUO0cOFCXXPNNfrqq69sE2sBAOA3Ap31CDNZFgCgaCuSgXBISIiGDRsmSXrkkUds9/FK0oQJE7Rt2zZ17NhRzZs3ty2fOHGi6tatq2eeecaurMqVK+u2225TamqqHn74YaWl/f3h/uSTT+r48eO68847VaFCBbt8o0aN0vTp01W3bl19++23Kl26dAFsKQAAXpbnWaOd3SNMIAwAKNqK5D3CkvTcc89p6dKlWrNmjWrXrq0OHTooMTFR69atU/ny5TV16lS79CdOnNCuXbt0+PBhh7LefvttrV27VnPnzlXdunXVokUL/fLLL0pISFDt2rU1YcIEu/QLFizQu+++K0mKiYnRE0884bSNTz/9tOrWreulLQYAwAv+WOdiBUOjAQDFR5ENhMPCwrR8+XK9+uqrmjFjhr788ktFR0dr8ODBeumll1StWjW3yypXrpzWr1+vsWPH6ssvv9T8+fNVsWJFjRgxQuPGjXPo7T19+rTt7++++85luYMHDyYQBgAUHgc3SXPvyVsehkYDAPyQxZi8jpFCQTl79qyioqKUlJSkyMhIXzcHAOBvljwhrf/Q+bqur0ptH3Zc/sG10pHt9sti20tDlni/fQAAeCAv8VSRvEcYAADkg6sgWMph1mgnPcIMjQYAFHEEwgAAwDWGRgMA/BCBMAAAcM3prNH0CAMAijYCYQAAoDzNGp2RXrBNAQCggBEIAwAA15wNjeYeYQBAEUcgDAAAcpgsi6HRAAD/QyAMAABcY2g0AMAPEQgDAADXGBoNAPBDBMIAABQXoZE5rGRoNACg+CAQBgCguAgtlfc8ATxHGADgfwiEAQAoLpz17uYm0EmedAJhAEDRRiAMAEBxkdMkV8waDQAoRgiEAQAoLvIzpJmh0QAAP0QgDABAcZGvQNhJj7DJkDIyPG8PAAA+QiAMAEBxkZ9A2Nk9wvktCwCAQoJAGACA4iKne4RdcTY0WuI+YQBAkUYgDABAcZFTL25aivPlrmaaTicQBgAUXQTCAAAUFzkFwslnnC93OTQ6H73LAAAUEgTCAAAUFzkFwpdOO1/O0GgAgB8iEAYAoDjIyJBkXK93GQgzNBoA4H8IhAEAKA5ym+XZVSAc6KpHmFmjAQBFF4EwAADFQW6Ba3i08+WueoQJhAEARRiBMAAAxUFugWur+5wvZ2g0AMAPEQgDAFAc5BQIx10nVW3hfB1DowEAfohAGACA4sDV447K1pJuneH6MUkuh0bTIwwAKLoIhAEAKA5c9eA2GySFRLjO53JoND3CAICii0AYAIDiwFUg7CrQtWJoNADADxEIAwBQHOQ3EGZoNADADxEIAwBQHLi6RzggMOd8AfQIAwD8D4EwAADFQb6HRnOPMADA/xAIAwBQHDA0GgAAGwJhAACKg3wHwgyNBgD4HwJhAACKg/zeI8zQaACAHyIQBgCgOGBoNAAANgTCAAAUBwyNBgDAhkAYAIDiwFUPbn57hNPpEQYAFF0EwgAAFAfefnwSPcIAgCKMQBgAgOIgv5NlMTQaAOCHCIQBACgOvD1ZFkOjAQBFGIEwAADFQb6HRtMjDADwPwTCAAAUB15/fBKBMACg6CIQBgCgOMj3PcIMjQYA+B8CYQAAigOGRgMAYEMgDABAcZDvodEEwgAA/0MgDABAcZDvQDhAksVxOUOjAQBFGIEwAADFQX7vEZacD4+mRxgAUIQRCAMAUBzkt0fYVZoMeoQBAEUXgTAAAMWBR4Gwkx7hdHqEAQBFF4EwAADFgSeBcKCzHmECYQBA0UUgDABAccDQaAAAbAiEAQAoDjyZLMvZ0Gh6hAEARRiBMAAAxYGrwNXZjNAOaZz0CHOPMACgCCMQBgCgOGBoNAAANgTCAAAUB96eNZqh0QCAIoxAGACA4sDVPcIWN74KMDQaAOBnCIQBACgOnPXgBgRJFkvueRkaDQDwMwTCAAAUB64CYXcwNBoA4GcIhAEAKA48CYSdzSydnupZewAA8CECYQAAigNn9wi78wxhSQoOd1yWetGz9gAA4EMEwgAAFAee9AiHlHBcdplAGABQdBEIAwBQHHgUCJd0XJZ6wbP2AADgQwTCAAAUB54EwsERjstSz0vGeNYmAAB8hEAYAIDiwJN7hJ0NjTYZUlqKZ20CAMBHCIQBACgOvD00WmJ4NACgyCIQBgCgOPAoEHYyNFrKHB4NAEARRCAMAEBx4O1ZoyVmjgYAFFkEwgAAFAce3SPM0GgAgH8hEAYAoDjw9qzREkOjAQBFFoEwAADFQUEMjU5laDQAoGgiEAYAoDhg1mgAAGwIhAEAKA4KpEeYodEAgKKJQBgAgOLAo8myXNwjzKzRAIAiikAYAIDigKHRAADYEAgDAFAcMDQaAAAbAmEAAIoDTwLhwBDJ4mQYNbNGAwCKKAJhAACKA0/uEbZYnA+PZmg0AKCIIhAGAKA48KRHWHI+PJqh0QCAIopAGACA4sDjQNjJzNHMGg0AKKIIhAEAKA7SC6JHmKHRAICiiUAYAIDiwGmPsJv3CEsu7hFmaDQAoGgiEAYAoDjwdGh0sJOh0cwaDQAoogiEAQAoDgpksiyGRgMAiqY8fAICAIC8Msbol0Nnte3PJKVlZPiqEbrbOD4+6dejF7Xxp/1uFdEuyahWtmWpl87pv27mL4zKRISo7VVlVa5kqE6cT9GaPScVFR6sa2uVU2CAxdfNAwAUIAJhAAAKgDFGq347oQnf7daWP874tC2BStfdYY7LV+05rVd3/eJWGWODLqlWtm8NgWkX9cKCBElFN2gMCrCobMkQnTyfqrQMI0lqVr20Ph7UUtElQnzcOgBAQSEQBoB8Opx0SeO/3a1tf55RWrrJc34jI8nY/iWn/5aMJSPLsuxprWmy5w+QxViUGaBYbOsyy8r4698Zf+X7+9+ZabLWo2x/O1vm/O+/y3GVNrNtFhOQpZ3ZZd+vuf3bWm72v63bn9P+zsiyf6z7It3FOvt/Z/5t35b0DKOzyZclSSFlnTTTaXuzLs52nC3Z2ytZHPax8/dhoNL1elBph+VbMw4r1CzMqXG2Nn5nOaljAaVtLbb81cSI9MVKV6CMsdjSZs1n97dxtd7y9yY4vBes6yxZts5JXS7rzz3NKUmWSCn4rzq2JVnU6t2lKh0erJDAwGx5ctpOy1/nXfbl2fPlnMa+jOznkrKcM3+fO5nLspaf9aVs14PsbbFkWR+Qx+UWSYGZywrpDyIBARbVqxyprg0qqlHVKId2hoUEqHzJUFkshbP9AAqGxRiT929vKBBnz55VVFSUkpKSFBkZ6evm6FzqOe05s0eS9Qt7pqxvGWfLjYsvYs7eatnTOsvrTj5nVTotK3t97pTthDFGRsb2f1s+k/n/pEup2nE4SWcuXc61rBzrdtinJst/rX9laYGtPdYlGZl/GWu6v9fbSjLWJRlZ6vprrcmwq9uW32TJb1eu/lqXtZ4s+R3al7U8J+3OR/v+Xp51meP7LDNN5ivDZMgo/a//W5elK82kKN2kyaIAWSyWzP8rQEYZSk1L08XLqZIlQxZlSHaBkDVoyXK0sgUxlmxfbAGgqDMmp0DS1Y8e2df/9bdxsdyuDGc/juSvrsDAAIUHBSooMMBunSVLWRbr/y0BClCALJZABfz1A4FFFslikSVLHstfU/FkBtjW5db/BkiWv9NZ/8osP2s5f/1l+bseS5Z0du2yS5+1zry05e91tvWWgCx7wFn92fJaspVt/ZclQM7aam1X1nrl8N+/jkOWHyssDmmzHzPZ8mRfljWvXflZ2uNqnau6I8NC1KhalMpl+VHl72MhuzZYHPa3cv0hxtOQLbfyc/0hK4fVMaViFBni+9hFyls8RY8wXNp4eLtGrHjA180ACq2AYF+3AAAKj5x/4Mu2zkudr97qwzWSLhpJTuaUA9yW6OsG+MYr7SYovnZnXzcjz5g1Gi7tP8FjMQAAAAC49vuxovlMeQJhAAAAAECxwtBouMSUEQDgnyzWe80sFtv9f5LjPWLZ50IAAMBfEAgDuGIcZpU1WSeryGGZLH/ldS+t7GYztabL1hZZJBMgKeCv/2f+2yjgr/QBUkawjAmSdfIri0zmpFjGImMCJQUoQIGKK1dKjaqVUVBAgG1iDLv/Z1sWYAmwBRzWvx3yOPl/gAIkS2awkjWfXTl/lWtk/pr8K/P/AZaAzJcy/x8YECiLLAq0BCog4O/l1pdV9kk+nE78YbFfb82XfVn2dNYgK92kK0MZysjIcDqpyN/ZHevIntbVJHau9qNtX/51XAIsAQqyBNn2UaAl85X137Y0AQH26y2BXpvsxMjY2pX9eGd/b2XdFku2SWFs7TmdKL3T2LGibq9JbR5yq03a94P0Wbxt+jnb1G8D/yNzdXfbZIHW9tsdB2O/3PZ3ln9b02WdfC+nMrJP1ug0n3UOvyx1OZvgMHsZ2SeFzN7mfOXLQ5uNjOPENRZbwZnnjMn4+6UMGWOUoQxbfuv5by03w2TY2pP12pD937Zz0kl+6/oMZdjVn56RrnST7vIHk6wTTNr2fbZ12feZu/vQ7ri4OPZpGRk6dSFV51Mu25UtY3Q5PUOnLqbq9IVU2zSNf31CyO6+5uwzzv81o7zFOlGiw4z01jz2EyXaL9dfnyvZ1ivjr+OdJb9DnqxPEzDZ0svpMiZpBOwV6UD40qVLevXVV/Xf//5XBw4cUHR0tLp166aXXnpJVatWzVNZp0+f1tixY/Xll1/qyJEjqlSpknr37q2xY8eqdOnSTvOkp6fr3Xff1dSpU/X777+rZMmSuu666zRu3DjVq1fPC1voW1VK1NSlP+9wsdbFlz1XAUeOsq93kt7ptdsxXVR4sKpEhSswMKc6s88c6F7ZuS2zZAnKggMDVLNcSbWsEa2yJd19DqXzL/cOMx06fPm3frm32GZGtMj6xd/6RTprOvsgwP4LtfPALXvQJkuW+R5tX9CzzBFpnRkyW3n+qExEiIIDucsEhVyGixmAAvLwNSCkpCS7n5gyHd8t1euV35YBhULy5XTb4878md0PMCbzOQkmy5MlMqx/Z3s6hnGyTH+lt5blkM5ZOTnktdYta2uy/XCY/QePv9Pab5uyLDUm6xLrryPZf3yRfZ4cfrTJ3g5r5rPJadp+8Iz2Hr+g1PR0u/Ky/521RWcvXdbhpGS7enKW3+9Snv4IknP+ak1qe1i+bxTZxyclJyfruuuu09q1a1W5cmV16NBB+/fv1/r161W+fHmtXbtWcXFxbpV14sQJtW3bVr///rvi4uLUokUL/fLLL/rll19Up04d/fTTT4qOjrbLk5GRoX79+mn+/PkqXbq0brjhBp04cUI//PCDwsPDtXz5crVq1SpP21TYHp908nyKNuw/7etmuC0mOlz1KkUqIMA/Ay4AyLfju6VJLR2X3/SW1GKoe2Ukn5X+XdMxqK7SVLp/hcdNBIDi6Ni5ZP1y6KxSLmfknriQala9tCpEhvm6GZKKyeOTXn75Za1du1Zt27bVt99+q5IlM3+pnjBhgh577DENHTpUK1ascKusUaNG6ffff1efPn00c+ZMBQVl7pYRI0bovffe0+jRo/Xpp5/a5Zk6darmz5+v2rVra9WqVapYsaIkae7cuerXr5/uuOMO7dixw1ZWUVS2ZKi6Nazk62YAADzljR7hsEip5j+kPd/bLz+0WTrzh1Q6Jv/tA4BiqkKpMFW4unAEkcVNkRzPl5qaqokTJ0qSJk2aZAuCJWn06NFq3LixVq5cqZ9//jnXsg4fPqwvvvhCISEhmjx5sl3g+sYbb6h8+fKaPn26jh07ZpdvwoQJkqR///vftiBYkvr27atevXrp999/14IFCzzaTgAAvMJlIJzHh2HXi3e+fNvMvJUDAICPFcnuytWrVyspKUlXXXWVmjZt6rC+X79+2rZtmxYtWqTmzZvnWNbXX3+tjIwMdejQwS6glaTQ0FDFx8dr6tSpWrJkiQYPHixJ2rdvn3bs2KHw8HD17NnTaf0LFy7UokWL1Ldv3/xvqK+lp0mXL/imbp+O2Pdh3UXzTgXPcbx9UbkPq2a7r7jzR50vz0uPsCTVvUlaPFoO+/H7l6SIaKlaKym0VOb9xM7mBXBYls80AIDCIzhcCszjD6uFQJEMhLdu3SpJatasmdP11uXbtm3zSllTp061K8uap2HDhgoOdjzoeam/UDvwk/TZTb5uBQCgoAQE5i19yQpS9bbSgTWO6xY/6p02AQCKllu/kOr28HUr8qxIDo0+cOCAJKlatWpO11uXJyYmFkhZ3qwfAACfyWuPsCQ1H+T9dgAAcIUVyR7h8+fPS5IiIiKcri9RooQk6dy5cwVSlrfqT0lJUUpKiu3fSUlJkjJnOysUzl2QUorpUF0AKA4uXZby+pkT202K6Sz9/m3BtAkAULScv5j3z5ICYo2j3HkwUpEMhP3Fq6++qnHjxjksj4lh5k0AwBXwWj9ftwAAUNS91t/XLXBw7tw5RUVF5ZimSAbC1lmiL1686HT9hQuZEzyVKlWqQMryVv3PPPOMRo8ebft3RkaGTp06pbJly8ribJIRHzp79qxiYmL0xx9/FIpnHBc37H/f4xj4HsfA9zgGvscx8D2Oge9xDHyvsB4DY4zOnTunKlWq5Jq2SAbC1atXlyT9+eefTtdbl8fGxhZIWd6qPzQ0VKGhoXbLSpcunWubfSkyMrJQvdmLG/a/73EMfI9j4HscA9/jGPgex8D3OAa+VxiPQW49wVZFcrKsJk2aSJI2bdrkdL11eePGjQukLGuehIQEXb582aP6AQAAAABXVpEMhNu3b6+oqCjt2bNHW7ZscVg/Z84cSVJ8fHyuZXXr1k0BAQFatWqVjh07ZrcuJSVFixYtUmBgoHr0+HtK8Jo1a6pevXq6dOmSvvrqK4/qBwAAAABcWUUyEA4JCdGwYcMkSY888ojtnlxJmjBhgrZt26aOHTuqefPmtuUTJ05U3bp19cwzz9iVVblyZd12221KTU3Vww8/rLS0NNu6J598UsePH9edd96pChUq2OWz3tv75JNP2gXQ8+bN08KFC1WrVi3dfPPN3ttoHwsNDdWYMWMchnLjymD/+x7HwPc4Br7HMfA9joHvcQx8j2Pge/5wDCzGnbmlC6Hk5GR16tRJ69atU+XKldWhQwclJiZq3bp1Kl++vNauXau4uDhb+rFjx2rcuHEaNGiQPv30U7uyTpw4oTZt2mjPnj266qqr1KJFC/3yyy9KSEhQ7dq1tXbtWkVHR9vlycjIUL9+/TR//nyVKVNGN9xwg06cOKGVK1cqLCxMy5cvV+vWra/ErgAAAAAA5EGR7BGWZAs2n3/+eUVEROjLL79UYmKiBg8erE2bNtkFwbkpV66c1q9fr+HDhys1NVXz589XUlKSRowYofXr1zsEwZIUEBCg2bNna/z48apSpYoWL16s7du3q2/fvtq4cSNBMAAAAAAUUkW2RxgAAAAAgPwosj3CAAAAAADkB4Gwn1u9erV69Oih6OholSxZUq1atdLnn3+e53JOnDihTz75RPfff7+uueYaBQUFyWKxONxv7cwvv/yi/v37q3z58goPD1ejRo309ttvKyMjw2We06dPa+TIkYqNjVVoaKhiY2M1atQonTlzJs9t9zVvHQOrRYsWqWPHjrbntnXq1Mnp7OWSNHjwYFksllxfBw4csMtXo0aNHNPv3Lkz3+33BV8eg/379+e4LytVquSyHs4D1/JyDBITE/Xee++pW7duqlSpkoKDg1WuXDl169ZNCxcudFlHUTsPLl26pBdeeEF16tRRWFiYqlSpoqFDh+rgwYN5Lis/77309HS99dZbatSokcLDw1W+fHkNGDBAO3bsyLGuvBzLwsxX+//y5cv69ttvNWzYMDVs2FAREREKDw9XvXr19Pjjj+v48eNO6/j0009zfH/feuuteW63r/nyHMjt8/aDDz5wWZe/nAOS745Bbp+11tfQoUPt8nEeuLZy5UqNGzdOPXv2VPny5WWxWFSjRo1c8xWpzwIDvzVnzhwTGBhoLBaL6dixo+nbt68pXbq0kWQee+yxPJU1f/58I8nhNW3atBzzrVmzxoSHhxtJplWrVmbAgAGmUqVKRpLp37+/ycjIcMhz/PhxU6tWLSPJxMXFmQEDBpgGDRoYSaZOnTrm5MmTeWq7L3nzGBhjzFtvvWUkmaCgINOtWzdz88032/bve++955D+o48+MoMGDXL6atOmjZFkYmNjHY5DbGyskeQy76FDh/K9T640Xx+Dffv2GUmmYsWKTvfliBEjnNbDeeBaXo9B+/btjSQTGhpqOnbsaAYOHGhatmxpu449+uijTuspSufBpUuXbOd05cqVzYABA0yrVq2MJFO+fHmzZ88et8vKz3svPT3d9O7d20gypUuXNn379jUdO3Y0FovFREREmHXr1jmtK6/HsrDy5f7/7rvvbO/lGjVqmD59+pj4+HhTrlw5I8lUqlTJ7Ny506GeadOmGUmmSZMmTt/fkydP9ni/XEm+PgcGDRpkJJmuXbs63Z/ff/+907r85RwwxrfH4Pjx4y6v1YMGDTJhYWFGkpk6dapdPs4D15o0aeLwvT82NjbHPEXts4BA2E+dPHnSREZGGklm7ty5tuVHjhyxXViWL1/udnlr1qwxDz/8sJk6darZvn27ue+++3INhFNTU03NmjWNJDNhwgTb8nPnzpm2bdu6zH/HHXcYSaZPnz7m8uXLtuXDhw+3fSktCrx9DHbu3GkCAwNNaGioWbNmjW35rl27TNmyZU1QUJD57bff3C5vwIABRpL55z//6bDOGgAUdYXhGFgD4Y4dO+ap7ZwHzuXnGAwcONC899575uzZs3bLFy9ebIKCgowk88033zjUVZTOg3/+859Gkmnbtq05d+6cbfn48ePz/P7Lz3vvo48+MpJM7dq1zZEjR2zL58yZYySZWrVq2ZVljPevab7ky/2/bNkyM2DAAIcvmGfOnDFdu3a1tSs7awAwZswYt9tWmPn6HLAGwr78XPc1Xx8DV3799VcjyYSHh5ukpCS7dZwHrj3xxBPm5ZdfNt9884355Zdf3AqEi9pnQdH4hEeevf7660aSufnmmx3WzZs3z0gyN910U77Lf+CBB3INhGfOnGn7lS27n3/+2UgyDRs2tFt+6NAhExAQYEJCQuxOIGOMSU5ONuXLlzeBgYHm6NGj+W77leLtY/DQQw8ZSWbkyJEO6yZMmGAkmWHDhrlVVlJSku2XNmc9BUUpAMhJYTgG+QmEOQ9c8+Z5YIwx999/v5FkBg8e7LCuqJwHKSkpJioqykgymzZtcljfuHFjI8ls3Lgx17Ly+96rV6+ekWTmz5/vUGavXr2MJDNnzhy75d4+lr5SGPa/KwcPHrT15Ozfv99unT8FAIXhGOQnEPaXc8CYwnEMXHn22WeNJHPrrbc6rOM8cM/hw4fdCoSL2mcB9wj7KeuY+n79+jms69mzp8LCwrR06VIlJyf7pA3NmjVTXFycEhIStH//ftvyr7/+WhkZGerQoYMqVqxolyc0NFTx8fFKT0/XkiVLCqzd3uLtY5BTedZlixYtcqusuXPn6tKlS2rZsqWuvvpqt/IURYX5GOSE8yB/5eXnGDRp0kSSdOjQIbfzFDarV69WUlKSrrrqKjVt2tRhfV72S37ee/v27dOOHTsUHh6unj17ul3/lTqfCpqv939OqlSpovLly0sq2u/x3BTmY5ATfzkHpMJ7DIwxmjFjhiTprrvucmdTiixvHoP8KIqfBQTCfmrr1q2SMgPO7EJCQtSwYUMlJydr9+7dPmlD1uXbtm3zKE9h5c1jcObMGduEVs4ubjExMSpXrpwSExN19uzZXMubPn26JOnOO+/MMd0bb7yhBx98UCNHjtSHH37octKVwqowHYOjR49qzJgxuv/++/XEE09ozpw5Sk1NzXO7sy7nPLCX1/NAkvbu3StJOU5aVtjPA2++Xzy5bjds2FDBwcFu5SmIY+krvt7/OTlz5oxOnz4tyfV7/Oeff9YTTzyhBx54QGPGjNHKlSvdKrswKUzHYN68eRo+fLgefvhhvfHGGy4n1fOnc0AqXMcgqx9//FH79+9XhQoV1KVLF5fpOA+8V39R+iwI8nqJ8LmzZ88qKSlJklStWjWnaapVq6aNGzcqMTFRjRs3LpB2WN/YObVBypzR1ZM8hZG3j4F1v5QpU0YlSpRwWd6JEyeUmJioRo0auSzr4MGDWrFihYKCgnKdDfHJJ5+0+/ejjz6q9957z2HWxcKosB2DnTt36sUXX7RbVr16dc2ePVutWrVyWhfngT1vngdS5gewdebqm2++2WW6wn4eePP9cqWu294+lr7k6/2fk0mTJiktLU2NGjVSzZo1naZZvHixFi9ebPv3iy++qI4dO2rmzJkOvXGFVWE6Bu+9957dv5966ik99NBDeueddxQU9PfXbn86B6TCdQyysv7wf+utt9rt/+w4D3xTv6/PA3qE/dD58+dtf0dERDhNY32znTt3rsDbkZc25CdPYeTtY5DbfslLef/3f/+njIwMde3aVRUqVHCaplevXpo3b54SExN18eJFJSQkaPTo0UpJSdG9996rBQsW5NpmXyssxyA0NFQPPfSQVqxYoaNHj+rs2bP66aef1KNHDx04cEBdu3Z1+FDiPMi5PG+cB5L04IMP6vjx42rTpo169+7tsL6onAfefL9cqeu2t4+lL/l6/7uyefNmvfzyy5Kk119/3WF95cqVNXbsWG3evFlJSUk6cuSIFi5cqLp162rlypW66aablJ6enms9hUFhOAZNmzbVBx98oN27d+vixYvau3evJk2apNKlS2vy5Ml64okn8lRPXtvta4XhGGSXkpKi2bNnS3I9LJrzwLf1+/o8oEe4kOrdu3euz9vK7vPPP3foWUL++esxsP46mtO9Mu+++67dvxs0aKDx48erbt26uv/++/XUU0/l2IPmLf5wDCpXrqzJkyfbLWvTpo2++uor3XHHHZoxY4ZeeeUVTZkyxUctzJk/HANnXn/9dc2cOVPR0dH6v//7P1ksFoc0heU8APLq6NGj6tOnj5KTkzVq1Ch1797dIU3Xrl3VtWtX278jIyMVHx+v6667Ts2bN9fGjRs1a9Ys3XbbbVey6UXWyJEj7f5ds2ZNPfzww+rYsaOaNWumiRMnavTo0YqJifFRC4ufr776SqdPn1bdunXVokULp2k4D4o3AuFCat++fdq1a1ee8ly8eFGSVLJkSbtlkZGRDmkvXLggSSpVqpQHrcxZyZIldfr0aVu73GmDte15yVNQCtMxyG2/uFvetm3btH37dkVGRqpXr1651pvdPffco+eee067du3S/v373Xqwuif88Rhk9eyzz2rGjBn65ptv8lQX54Fnx2D69Ol65plnVKJECX311VeKi4vLte6srvR5kBtvvl/yU1ZB5Mlru33J1/s/u3PnzqlHjx7av3+/+vfvr/Hjx+dab/Y2jBgxQsOGDdM333xTJAKAwnYMsmrQoIF69eqlOXPmaNmyZRo8eLBb9eSnLl8qjMfAnR/+c2pDcT4PrlT9vj4PGBpdSG3ZskUm8/FWbr86deokKfPXrKioKEnSn3/+6bR86/LY2NgC24bq1avnuQ35yVNQCtMxsO6X06dP2y4I+SnP+qHQt29fhYeH51pvdgEBAbrqqqskSYcPH85z/rzyx2OQVe3atSU57kvOA+e8cQwWL16sIUOGKDg4WPPmzVObNm1yrTe7K30e5Mab75crdd0uiPPJV3y9/7NKTk5Wr169tGnTJnXp0kXTp09XQEDev+q5ujYVVoXpGDjjbH/60zkgFb5jcObMGS1ZskQWi0V33HFHrnU6U5zPgytVv6/PAwJhP2V9JMimTZsc1l2+fFkJCQkKCwtTnTp1fNKGrMuzTpCTnzyFlTePQenSpW0Xi82bNzus/+OPP3TixAnFxsY67XWTpIyMDH3xxReSPHuEgHUGUleTGhQmhe0YZOdqX3IeOOfpMVi5cqX69+9ve5xGTjOI5qYwnQfefL94ct1OSEjQ5cuX3cpTEOeTr/h6/1ulpaVp4MCBWrFihdq1a6d58+YpJCQk9w1wojC9v91RWI6BK872pz+dA1LhOwazZs1SSkqKOnTokO8AqjifB57UX6Q+C7z9YGIUDq+//rqRZG6++WaHdfPmzTOSzE033ZTv8h944AEjyUybNs1lmpkzZxpJpkmTJg7rNm3aZCSZhg0b2i3P+hD17A9Kz89D1H3J28fA0weOL1u2zEgyMTExJiMjw+16s0pISDAWi8VERESYlJSUfJVxJRW2Y5DdpEmTjCRzww032C3nPHAtv8fg559/NpGRkcZiseR43XJHYTsPUlJSTFRUlJFkNm/e7LC+cePGRpLZuHFjrmXl971Xr149I8nMnz/focxevXoZSWbOnDl2y719PvlKYdj/GRkZ5s477zSSzDXXXGNOnz7tySaZ/v37G0nmpZde8qicK6UwHANXkpOTTUxMjJFkVq1aZbfOX84BYwrfMejQoYORZD766KM8b4tVcT4Psjt8+LCRZGJjY3NMV9Q+CwiE/dTJkydNZGSkkWTmzp1rW3706FFTq1YtI8ksX77cId/VV19trr76avPnn3/mWL47gXBqaqqpWbOmkWQmTJhgW37+/HnTtm1bl/nvuOMOI8n07dvXXL582bZ8xIgRRpIZNGhQjm0rLLx9DHbu3GkCAwNNaGio+emnn2zLd+/ebcqWLWuCgoLMb7/95rI9Q4YMMZLM008/nWO7v/rqK7Ns2TKH5Vu3brVd4EaMGJFjGYVFYTgGH374odmxY4dDHXPnzjWlSpUyksy8efMc1nMeeO8Y7Ny505QvX95IMu+++65b7S5q58E///lPI8m0a9fOnD9/3rZ8/PjxRpLp2LGjXfr33nvPXH311U6vB/l573300UdGkqldu7bdl9O5c+caSaZWrVp2ZRnj+TWtMPH1/reuq1u3rjl27JhbbX7llVfM8ePH7ZalpqaasWPHGkkmPDw81+8ChYkvj8GOHTvM559/bpKTk+2WHzt2zNxyyy22ToHsP0L70zlgjO/PA6v9+/cbi8ViwsLCzJkzZ3JsM+eB62OQlbuBcFH7LCAQ9mNz5swxAQEBxmKxmOuuu87069fPlC5d2kgyo0ePdppHkpFk9u3b57CudevWtleFChWMJBMXF2db9tBDDznkWb16tQkPDzeSTOvWrc2AAQNM5cqVjSTTr18/pz2Tx48fN1dddZWRZK666iozcOBA07BhQ9uJdfLkSY/3zZXi7WNg/WUsKCjIdO/e3dx88822/ZvTF/xLly7ZgpFffvklxzaPGTPGdrHr1auXufXWW02rVq1MUFCQkWQ6depkLl68mKf94Eu+PgYdO3Y0kkzjxo1Nv379TJ8+fUzdunVtdTzxxBNO28B54L1jcM011xhJpnz58mbQoEFOX6+++qpdnqJ2Hly6dMm0bt3aSDKVK1c2AwYMsP27fPnyZs+ePXbprdvn7Mtkft576enppnfv3kaSKVOmjOnXr5/p1KmTsVgsJjw83Kxdu9Zpu/N7TStsfLn/v/zyS9v50rlzZ5fv8ew/yEkyoaGhpn379ubWW281PXr0MFWqVDGSTFhYmN0PV0WBL4/B8uXLbe/9zp07m9tvv9106tTJ9mNntWrVzK5du5y221/OAWN8fx2y+te//mUkmf79++faZs4D18fgo48+sn3Hb9asmZFkQkJC7OKBn3/+2S5PUfssIBD2cz/++KPp1q2bKV26tImIiDAtWrQwn376qcv0OX35tK5z9cr+K5NVQkKC6du3rylbtqwJCwszDRo0MBMmTDDp6eku23Hy5EkzfPhwExMTY0JCQkxMTIwZMWKEx8O9fMGbx8AYYxYuXGg6dOhgSpYsaUqWLGk6dOhgFi1alGMbrMPUmzZtmmt716xZY4YOHWoaNWpk+yUuOjradOrUyXz00UcmLS0t1zIKG18eg+nTp5t+/fqZWrVqmcjISBMcHGyqVKli+vTpY7777rsc28154J1jEBsbm+frV1E8Dy5evGief/55c9VVV5mQkBBTqVIlM3jwYPPHH384pM3py48x+XvvpaWlmfHjx5sGDRqYsLAwU7ZsWdOvX79cf3zLzzWtMPLV/p82bVqu72/JceTFCy+8YDp37myqV69uwsPDTVhYmKlVq5Z54IEHzM6dO72wR648Xx2DgwcPmlGjRpk2bdqYSpUqmeDgYFOyZEnTrFkzM2bMGHPq1Kkc2+0v54Axvr8OGWNM/fr1jSSzYMGCXNvLeeD6GFjX5eW6YkzR+iywGGOMAAAAAAAoJpg1GgAAAABQrBAIAwAAAACKFQJhAAAAAECxQiAMAAAAAChWCIQBAAAAAMUKgTAAAAAAoFghEAYAAAAAFCsEwgAAAACAYoVAGAAAAABQrBAIAyiW9u/fL4vFIovFok8//dTXzfELK1assO3TFStWFGhdgwcPlsViUY0aNZyut7Zj7NixBdoOeNelS5c0btw4NWnSRCVKlLAdx1GjRvm6afCSkydPKjo6WhaLRRs2bPB1c+DExYsXVaFChStyLQd8iUAYQJ5lDXjcDTSsgYvFYtH+/fsLtH0Aip7Lly/rxhtv1NixY7Vt2zZdvHjR100q9M6cOaMPPvhA/fv3V+3atVWmTBkFBwerbNmyatSoke666y5NmzZNZ86csctnvRZ78srvdfyFF17Q6dOn1aNHD7Vs2dLznQCvi4iI0OjRoyVJo0aNkjHGxy0CCgaBMAD4KXq9va9Tp06yWCzq1KmTr5vid2bPnq01a9ZIyvzhbPny5dq+fbu2b9+up59+2setK1wyMjL0+uuvq2bNmnrooYc0Z84c/f777zpz5ozS0tJ06tQpJSQkaPr06Ro6dKgqVaqk4cOH68SJEz5td2Jioj766CNJmQGxP8htdEpR9cgjjyg6Olpbt27V7Nmzfd0coEAE+boBAOALNWrU4FduP8axLXqWLl0qSapUqZI+/vhjBQYG+rhFhdOlS5d02223acGCBZKk4OBg9enTR507d1ZcXJxKly6t06dPKzExUcuWLdPixYuVlJSkiRMnqn379rr11lu1fft2l+V37dpVhw4dUpUqVfTNN9+4TFe1atU8t/3111/X5cuX1b59e7Vu3TrP+XHllCpVSvfff79ee+01vfzyyxowYICvmwR4HYEwAADwuYMHD0qS4uLiCIJz8MADD9iC4DZt2mjGjBmqWbOm07RDhgzR2bNnNXHiRL388su25Q0bNnRZfnBwsO3/OaXLqzNnzujzzz+XJN15551eKxcF5/bbb9drr72m7du3a8WKFYyEgd9haDQAAPC5lJQUSX8HYnA0Z84c/ec//5EkNW/eXN9//73LINgqMjJSzz77rDZt2qRatWpdiWY69d///lcXLlxQcHCw+vfv77N2wH2NGjVSo0aNJEmffPKJj1sDeB+BMIBC5fz583rttdfUtm1bRUdHKzQ0VNWqVVO/fv20ePHiHPNmv3/zt99+07Bhw1S7dm1FRETYTfCS0/2zn376aZ4mjXE1Ydjx48f13HPPqWnTpipdurTCwsJUo0YN3XXXXfrxxx9z3JYaNWrIYrFo8ODBkqRdu3bpvvvuU40aNRQaGqqKFSuqd+/eWrt2rdP8FovF7gvykCFDcm333r17NX78eMXHx6tGjRoKDw9XeHi4YmNjNXDgQH399dc5ttmbduzYocGDBysmJkZhYWGKiYnR7bff7vYss7kdmzNnzuhf//qX2rZta5tgqHz58qpfv7569+6t999/X0ePHrWlt94HuHLlSknSypUrHfZn9nsEL1y4oJkzZ+ree+/VNddco6ioKFs9HTt21Jtvvqnz58/naTs2bNig2267TdWqVVNoaKiqVq2qu+66Szt27HBrvyQkJGj48OFq1KiRbbsrVaqkG2+8Uf/+9791+PBhl3mPHDmif/7zn2rRooXt3IyJidGAAQNsw5rzKut56GrfZt2vY8eOtS2XpKSkJL300ku2c8zZ+ezNa8rvv/+uBx98UHFxcQoPD1eNGjV0zz33KDEx0S5fQkKChgwZori4ONv796GHHtKxY8fytZ+sXnnlFUmZ74tp06YpPDzc7bx169ZVixYtPKrfE7NmzZKUuU/Lli3rMl32a9+mTZt0xx13KCYmRuHh4apVq5ZGjx7tcL/zmjVr1L9/f1WvXl1hYWG66qqr9NRTT+ncuXO5ti09PV2fffaZbrrpJlWpUkWhoaEqW7asrr32Wk2YMEGXLl1yyGN9L3722WeSMu9/dvb54ExycrImTpyoG264QZUqVVJISIgqVKigG2+8UZ988onS0tLc3j8///yzBg8erJo1ayo0NNShzrxe67Lr27evJOnLL79UcnJyjvsRKHIMAOTR8uXLjSQjyYwZM8atPIMGDbLl2bdvn9M0mzZtMlWqVLGlc/bq06ePuXTpktP8HTt2NJJMx44dzZdffmlKlCjhkN9a9759+2zLpk2bZlfOtGnTcmxD9pezffDNN9+YyMjIHPM98sgjJj093em2xMbGGklm0KBBZt68eSYiIsJpGYGBgea///2vQ/68tnvv3r1u5bnzzjvN5cuXnbY56/ti+fLlTtO4Y+bMmSY0NNRp/UFBQebjjz+2vZ9iY2OdlpHTsfn1119zfZ9JMu+9954tT9b3r6tX9rZY3485vWrWrGl27Njhcl9k3Y5JkyaZoKAgp+VERESYlStXuiwnLS3NPProo8ZiseTYnkGDBjnNP336dKfnU9bXPffc4/K94UrW89Cd/TpmzBjb8t27d5saNWo4pM96PnvzmvLdd9+ZUqVKOS2jQoUKtuM4Y8YMExIS4nJbDh48mKd9ZLV161ZbOddff32+ynCH9drj6tzKj+TkZNs5/fzzz7tV/6BBg8znn3/ucl/WqVPHHD582BhjzBtvvOHyvd2sWTNz7tw5l/UlJiaaJk2a5PgeqVWrltm1a5ddvqzvxZxe2W3ZssW2ja5eLVu2NEeOHMl1/7z//vtOrwlW+bnWZff111/b0n377bc5HjugqOEeYQCFwsGDB3XDDTfo9OnTtl+7b731VpUtW1a//vqrxo8fr61bt2revHkaPHiw/vvf/7os68CBA7rzzjsVERGh559/Xh06dFBgYKA2bNigkiVL5tqWW265JdeekyeeeMLWQxobG2u3bsuWLYqPj1dqaqqCg4M1bNgw9erVSyVKlNDmzZv12muvad++fZo0aZJKlCih119/3WU927dv18yZM1W5cmU99thjatGihYwx+uabb/Taa68pOTlZ999/v66//nqVL1/eLt+hQ4fUtWtXSdLLL7+sm2++2a7sChUq2P5OT09XSEiIunbtqs6dO6t+/fqKjo7WqVOntHv3bk2aNEm//PKLpk+frri4OI0bNy7X/ZgfGzZs0B133KG0tDSFhobq0UcfVY8ePRQaGqp169bplVde0UMPPaT69evnu4677rpLhw4dUnBwsO677z51795dlSpVUkZGhv7880+tXbtW8+fPt8vzr3/9S48//riGDBmijRs3qkWLFpo2bZpdmpCQELt/p6WlqVGjRurVq5datGihKlWqyBijxMREzZ8/X7NmzdK+fft0yy23aMuWLQoLC3PZ5m+++Ubr169Xo0aNNHLkSDVq1EiXLl3S/Pnz9c477+jixYu666679Ntvvzm0Q5Luv/9+TZ06VZJUuXJlDRs2TO3atVNUVJSOHz+u9evXa86cOU7rnjVrlu666y4ZYxQXF6dhw4apfv36Kl++vPbv369PPvlES5Ys0SeffKLIyEhNmDDBreMgZU64ZJ24ydW+dbY9ktSvXz8dPHhQw4cPV69evVSmTBn99ttvtvPRm9eUQ4cOacCAASpdurReeeUVtWrVSqmpqZo7d67eeecdHTt2TPfee6/eeust3X333apdu7Yee+wxNW7cWBcuXNDUqVP1n//8R4mJiRo9enSOdbli7TGXpG7duuU5vy9t2LDBNvTd3Ucmbd26VV988YVq1aqlxx9/XI0aNdK5c+c0depUTZ8+Xbt379bjjz+uPn366IknnlCbNm00fPhwXX311Tpx4oTeffddLVmyRJs2bdLLL7+s1157zaGOkydP6tprr9Uff/yh0NBQ3XffferYsaNq1Kih8+fP69tvv9U777yj33//Xd27d9emTZsUFRUlSXr44YfVr18/Pffcc1qwYEGuk4tJmSMKOnbsqKSkJEVGRuqRRx5Rq1atFBMTo5MnT2rhwoWaMmWKNmzYoJtvvlmrVq1yeavAhg0bNH36dMXExOjxxx9XixYtlJaWplWrVtnS5Odal12rVq1sf69cuVKdO3fOMT1QpPg4EAdQBGXt+XvooYfM9u3bc33dfPPNtjzOeoT79etnW//xxx87rE9OTjbXXXedLc2SJUsc0mTtgatSpYpJTEx0uQ059QjnZuLEiba8d9xxh8P6li1bGimzt/abb75xWH/q1ClTv359I8kEBASYhIQEhzRZewyaN29ukpKSHNJMnz7dlmbChAkebeP58+fNoUOHXK7PyMgwgwcPNpJMiRIlzJkzZxzSeKNHuEWLFkaSCQ4OdtrD+eeff5pq1ao57S3Myro+e4/wnj173OoFycjIMKdOnXJYnrWHMDe7d+/Ocf13331nAgICXL7ns26HJNOjRw+TkpLikObll1+2pZk3b57D+gULFtjWt23b1pw+fdplmw4cOGD37+PHj5uoqCgjyQwdOtRlj++zzz5rez/v3Lkzh612zZ19m7UXLiAgwOn5ZeXta0rt2rXNsWPHHNI8/vjjtjTly5c37dq1MxcuXHBI179/fyNljmpwVk5u7r33Xls9S5cuzXN+dxVEj/Drr79ua/sff/zhVv2SXO5L67ENDAw00dHRpm/fviYtLc0uTVpammnTpo2RZMqWLev0vXv77bfbtnXv3r1O27Np0ybbaIhnn33WYX1uo1OyateunZFkmjZtao4fP+40zf/+9z/bdeHDDz90WJ91/zRq1Mjl+ezptS6rmjVrGkmmW7duOaYDihoCYQB5ljXgyc8reyB88OBBExgYmOsH7b59+2zDwHr06OGwPuuX1s8//zzHbchvILx06VJbG1q1auUwpHLdunW2ch988EGX5fz444+2dA8//LDD+qxfdrZu3eq0jIyMDNuwt969e3ttG105efKk7TjNmTPHYb2ngfD69ett+YcNG+Yy3cyZM/MdCK9evTrX/ZqTvATC7rjllluMJHPTTTc5XW9ta1hYmDl69KjTNGfPnrUNH3300Ucd1rdt29ZImcOn8zos98UXXzSSTNWqVU1ycrLLdJcvXzZVq1Z1GSy4I6+B8NChQ12mK4hryv/+9z+nZWS9rcBisZhff/3Vabrvv//elm7BggUu2+SK9b2S23v37NmzLn+QzD6815mCCISHDx9ua7uzH3Oc1e/uvoyIiDAnT550mm7q1Kku99m+ffts75FFixbl2KYnn3zSSJk/sGbnbiD8ww8/2Nqybdu2HNMOGDDA9kNAdlk/G3744QeXZXh6rcuqdevWRsocjg74EybLAuBzK1asUHp6uiTpnnvucZmuRo0atmFZWfNkFxISUiCzkv7222/q37+/0tLSVLVqVX355ZcOw1mzThqU07a0b99e9erVc8iTXaNGjdS4cWOn6ywWi5o2bSopc6Irb7p8+bL+/PNP7dixQwkJCUpISNChQ4dsk9xs3brVq/VJ9vthyJAhLtP17t1bpUuXzlcdlStXtv2dfVKlgnb8+HH99ttvtv2ZkJBgG86e2/7s3Lmz3VD2rEqVKqXatWtLcnwfnDx50jah2sCBA1WlSpU8tXnhwoWSpJtuukmhoaEu0wUFBalt27aSpJ9++ilPdeTXHXfc4XKdt68ppUuXtt1mkF3NmjVVqlQpSVLjxo1t53V2TZo0sf2dn/M166RPJUqUcJlu2bJlttl+s7+6dOmS53q94fjx45KkiIgIl0Pds3N3X3bu3FnR0dG5psu+z7/66iulp6crIiJC3bt3z7Et//jHPyRlDpE/cOCAW+3PznouXX311baZmHOrb8OGDS4nzoqJiVGHDh1cluHNa511/x45csSjcoDChkAYgEfGjBkjkzm6JMfXoEGDXJaRkJBg+7t169Y51mddf/HiRZdfJmvXrp3j/Zb5cebMGcXHx+v06dMKDw/XggUL7L5oWFm3JSQkRNdcc02OZVq35bffflNqaqrTNHXr1s2xDOsXFHdmRs3N5cuXNWnSJLVp00YlS5ZUTEyM6tevb/dF2jrrbfYZW73Beq9oSEiI3RfY7IKDg20/AORVzZo1bV8e33rrLTVo0EAvvPCCvv/+e128eDFfZeZk9erVGjhwoMqWLasKFSqoTp06dvvzo48+kpT7/szv+2DLli0yxkhSjl+anUlPT9eWLVskSVOmTMl19nTrPcZX6suyqx+IpIK5priaAViS7YeZOnXq5JpGyt/5ag22pcwZyYuSU6dOSZLKlCnjdh5392V+9/nGjRslZR73oKCgHN/bN910ky1fft/f1vp27dqV67k0bNgwSZnXZOu+yy6n97/k3Wud9bgVtfcdkBsCYQA+l/WD3lWvl1WlSpWc5ssqL1+23JGenq6BAwfavsB8+umnat68udO01jZFR0crKCjn+Qit22KM0enTp52miYiIyLGMgIAAWxs9cerUKbVt21bDhg3TunXrXAbmVs4eJ+KprPsuMDAwx7QVK1bMdz1ffPGFrffy119/1UsvvaQbbrhBpUuX1j/+8Q998MEHXnlMyNixY3Xttddq1qxZLt+rVrntz/y+D7IG2M5+uMnJqVOncnyMiysF8YOCMzmd596+pri7/3NKZ00j5e98zfrIIWsPqzO33HKLww+R2Sf0u9KsP0zm5brh7r7M7z7P76Os8vv+9nZ97nzOeetaZz1uPOMb/oZZowEUKjn1urgrtyAqrx599FF9++23kqTnn39eAwYMyDWPN7bjSho5cqR+/vlnSZlfpIcOHarGjRurQoUKCgsLs21P9erV9ccff9h6GQtCQe+7qlWras2aNVq2bJnmzZunlStX6tdff9Xly5e1atUqrVq1Sm+++aaWLFmSY29TTpYtW2abWTsuLk6PP/64rr32WlWvXl0lSpSw/Ujywgsv6KWXXvLatnlT1sDh3nvv1ciRI93K5+7QV0+5e54XtXPRlayjJDZv3qwbbrjBh63JG+stAGfOnJExplAcE+v7u1y5clq+fLnb+bI+nz0/9TVp0kTTp093O1/VqlWdLnfn/e+ta531B6L83pICFFYEwgB8Luv9XUePHlVMTIzLtFmHpbm6L8ybPvzwQ7333nuSMh/XMnbs2BzTW9t08uRJpaWl5dgrbN0Wi8Xi9V7svDh79qxmzpwpKfO+y5y+pLnqufYG6z44efKk0tPTc/yid/ToUY/ru+GGG2zBxMmTJ7V06VJ9+OGH+v7777Vnzx4NHDhQmzdvzlfZ1iHPZcqU0dq1a+0ebZVVbj3FnipXrpzt78OHD+cpb9bzyxijhg0beq1dBa0wX1Pyq2PHjra/v/76az3++OM+bE3eWN//GRkZSkpKKhQBlbWH/dy5c6pXr57Xf0B1Vd/58+ev+Lnk6bXOet2vXr36FWkvcKUwNBqAz2X9UrBu3boc065fv15S5nC4uLi4Am3XihUrbPdqNW3aVJ999lmuPRnWbUlNTbXdX+mKdVtq165dIL1o7va6/Pbbb7p8+bKkzAmVXNm5c6fOnz/vlbY5Y51AJjU1NcfJo9LS0nLdt3lVtmxZDRw4UMuWLVOvXr0kZd5f+9tvv9mlc3ef/vLLL5Kk6667zmUQLP1932BBadq0qa3NP/zwQ57yhoSEqEGDBpIy73UuSgrrNcUTjRs3ts078P333+vXX3/1bYPyIOvkULt37/ZhS/5mnWcgJSXFo/PQ3WtC1okNfTnplLvXOquMjAzbvfPW6wHgLwiEAfhcp06dbL/GT5061WW6AwcO6LvvvnPIUxD27Nmjfv366fLly6pYsaIWLFiQ632CknTjjTfa/s5pW3766SfbF9msebwp64RhKSkpLtNlvQ80p8lQPvjgA+80zIWs++Gzzz5zmW7+/PkF2jOddchp9kmsrPs0p/0p/b1Pc9qfmzdvzjVI81R0dLTatWsnSZo1a5YOHTqUp/zWL8o7d+7UN9984/X2FZTCeE3xhmeeeUZSZg/94MGDvXIv+5WQdaK2DRs2+LAlf4uPj7cFsW+//Xa+y3H3mmA9l4wxeuedd/JdnzfldK2z+vXXX20/gOY28RxQ1BAIA/C5KlWqqHfv3pKk//3vf06DoNTUVA0dOtTWc2ntqS0ISUlJio+P18mTJxUaGqovv/wyx6GVWbVq1UotWrSQlDk8dtmyZU7Lf+CBByRlTuby0EMPea/xWZQtW9bW07xnzx6X6WrVqmX7QvjZZ585vf930aJFmjhxYoG006pVq1Zq1qyZJOn999/Xjz/+6JDm8OHDHg0J3bJlS469ycYY22OcLBaLatSoYbfeOuHU3r17c7xP2vo4ox9//FG///67w/rjx4/rrrvuymPr8+epp56SlDnpTv/+/ZWUlOQy7Z9//mn375EjR6pkyZKSMh9pZe3pduWrr77Stm3bPGyx5wrbNcVbBgwYoNtvv11SZkDZuXNnJSYm5pjn4sWLuQZpBS0mJsY2YZe1B97Xrr76attj9v773/9qwoQJOabft2+fvvjiC4fl1mvCsWPHcpwNvEuXLmrVqpUk6Y033tCsWbNyrG/79u1atGhRjmly4um1zirr8fLV47eAgsI9wgAKhbfeekvLli3T6dOnNXToUP34448aOHCgypQpo507d+rNN9+0fagPGDAg1+c+emL48OHasWOHJGnUqFEqWbKk3eNYsqtQoYLdzLQfffSRWrdurdTUVPXo0UPDhw9XfHy8SpQooc2bN+u1116zDTV7/PHHC+x+saCgILVs2VKrV6/W1KlT1bRpU11zzTW2mT+jo6MVHR2tsmXLqkePHvrqq6/09ddfq0uXLnrooYcUGxurY8eOae7cufr0008VFxenM2fO5DhjracmT56sa6+9VpcvX1bnzp316KOPqkePHgoNDdW6dev0yiuv6MSJE2rSpEm+nmW8ZcsWDRkyRC1btlR8fLyaNWumSpUq6fLly9q3b5+mTZtm6yHs1auXw0zL7dq107Rp03Ts2DGNHj1ad955p6KioiRlzqhq/bJ/9913a9GiRbpw4YI6duyop59+2jbT+Jo1azRhwgQdOXJEbdu2LfDn7sbHx+uee+7RJ598ojVr1qh+/foaNmyY2rdvr8jISJ04cUIbN27U1gkjIgAABhZJREFUzJkz1aRJE7tnjlasWFGfffaZ+vXrp8OHD6tFixYaPHiwunfvrmrVqtmeN71+/XrNmTNHe/fu1aJFi3J9tMuVUJiuKd700UcfKSkpSV999ZV+/PFH1alTR/369VPnzp0VFxenqKgoXbp0SQcOHNCaNWv0xRdf2GYsdmdUS0G5+eab9e6772r58uWFZsKs999/Xxs3btTevXv12GOPacGCBbr77rvVoEEDhYaG6uTJk9q6dau+/vprff/99+rdu7duu+02uzKsIy4yMjL04IMPavjw4Xb35teqVcv294wZM9SqVSudOnVKAwcO1PTp0zVw4EDVrl1bgYGBOnbsmDZv3qxFixZp7dq1euyxxxQfH5+vbfP0Wmdl/TG3SZMm+Z4oDCi0DADk0fLly40kI8mMGTPGrTyDBg2y5dm3b5/TNJs2bTJVqlSxpXP26tOnj7l06ZLT/B07djSSTMeOHXNtz759+2xlTps2zWk57r6c7YNvvvnGREZG5pjvkUceMenp6U7bFxsbaySZQYMG5bgd1v0aGxvrdP3ixYuNxWLJtd0HDhww1atXd9nW6tWrm19++SXHdmV9XyxfvjzHdudkxowZJiQkxGk7goKCzIcffpjrdrs6NtOmTXPrmLZr186cOHHCodxz586ZuLg4p3myt2XIkCEuyw8MDDRvv/22GTNmjG1ZXrYju9ze+2lpaWbYsGEu3wvWl6v328KFC010dHSu+y0gIMB8//33ObY1v9tgjMl1f2V3pa4p7p6veb1uupKenm5efvllExUV5db7OSwszDz00EPm+PHjuZZt3RZX51Z+bd++3daelStX5lq/N/ZlTtd5q8OHD5sOHTq4tR+HDBnikD89Pd20adPGZZ7sdu3aZRo2bOhWfePGjcv3/vH0WmeMMRcuXDAlSpQwkswbb7yRY31AUcTQaACFRtOmTbVr1y69+uqrat26tUqXLq2QkBBVqVJFffr00cKFCzV37ly7e18Lqy5duuj333/Xs88+q2uuuUaRkZEKDQ1V9erVdccdd2jVqlWaOHGi3XMuC0LPnj21bNky3XzzzapSpYrL50DGxMRo06ZNeuKJJ1SnTh2FhoYqKipKTZo00ZgxY7RlyxbVr1+/QNtqddttt2nz5s266667VKVKFYWEhKhq1aoaMGCAfvzxR913330elb1kyRI9+uijuvbaa1WzZk1FREQoJCRE1apVU69evfR///d/WrVqld1zW61KliypNWvWaOTIkapXr16OPWxTp07Vf/7zH3Xo0EGlSpVSaGioYmNjddddd9nKuFICAwP13nvvaePGjbr//vtVp04dlShRQsHBwapUqZK6dOmiCRMm6M0333SaPz4+Xvv27dObb76p66+/XhUrVlRwcLDCw8NVs2ZN3XTTTZowYYL279+v66677optV2786ZqSVUBAgP75z39q//79mjx5svr06aOrrrpKUVFRCgoKUtmyZVW/fn3dcccdmjJlig4fPqzJkyfb9VReaQ0bNrQ903bGjBk+a0d2lSpV0g8//KDFixfrjjvuUFxcnCIiIhQcHKzy5curXbt2euyxx7Ry5Uqn95sHBATo22+/1XPPPacmTZqoZMmSOfZ216lTR1u2bNGMGTPUt29fVa9eXeHh4QoJCVHlypXVqVMnPffcc/r555/1wgsv5Hu7PL3WSdKCBQt04cIFhYWFaciQIfluC1BYWYwpwIdBAgAAAMqcsM06PP3AgQO2+89RON14441atmyZHnjggQKfLBHwBXqEAQAAUOD69++v5s2b6/Tp0wU++R48s3btWi1btkwhISF69tlnfd0coEAQCAMAAKDAWSwWvf7665KkCRMm5Ph4MfjWuHHjJGXOHF+9enUftwYoGMwaDQAAgCvihhtu0LvvvquTJ08qMTHxis09APddvHhRbdq0UZs2bfToo4/6ujlAgeEeYQAAAABAscLQaAAAAABAsUIgDAAAAAAoVgiEAQAAAADFCoEwAAAAAKBYIRAGAAAAABQrBMIAAAAAgGKFQBgAAAAAUKwQCAMAAAAAihUCYQAAAABAsUIgDAAAAAAoVv4f/XvN/hFPsYoAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "num_noise_points = 3\n", + "rgb_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "depth_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "gt_images = []\n", + "gt_depths = []\n", + "\n", + "num_points = 501\n", + "\n", + "\n", + "for rgb_noise_level, depth_noise_level in zip(rgb_noise_levels, depth_noise_levels):\n", + " distance = 0.25\n", + " point1 = jnp.array([-0.1, distance, 0])\n", + " point2 = jnp.array([0.1, distance, 0])\n", + "\n", + " # 0.1 is horizontal range\n", + "\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + "\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + "\n", + " N = len(linear_poses)\n", + "\n", + " all_images = [\n", + " render_rgbd_many(\n", + " r,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + " for r in [renderers[0]]\n", + " ]\n", + "\n", + " images = all_images[0]\n", + " rendered_imgs = images\n", + " gt_image = images[N // 2, ..., :3]\n", + " gt_image = jax.random.normal(key, shape=gt_image.shape) * rgb_noise_level + gt_image\n", + " gt_images.append(gt_image)\n", + " key, _ = jax.random.split(key)\n", + "\n", + " gt_image_depth = np.array(images[N // 2, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " gt_image_depth = (\n", + " jax.random.normal(key, shape=gt_image_depth.shape) * depth_noise_level\n", + " + gt_image_depth\n", + " )\n", + " gt_depths.append(gt_image_depth)\n", + "\n", + " observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + "\n", + " gaussian_logpdfs, _ = gaussian_iid_pix_likelihood_vec(\n", + " observed_image, rendered_imgs, gaussian_iid_pix_likelihood_args\n", + " )\n", + " threedp3_logpdfs, _ = threedp3_gmm_likelihood_vec(\n", + " observed_image, rendered_imgs, threedp3_gmm_likelihood_args\n", + " )\n", + " ray_outlier_logpdfs, _ = kray_likelihood_intermediate_vec(\n", + " observed_image, rendered_imgs, kray_likelihood_args\n", + " )\n", + "\n", + " plt.figure()\n", + " fig, axes = plt.subplots(1, 1, figsize=(11, 7))\n", + " distances = linear_poses.pos[:, 0]\n", + " axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(gaussian_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"gaussian_pdf\",\n", + " )\n", + " axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(threedp3_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"3dp3_pdf\",\n", + " )\n", + " axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(ray_outlier_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"new_outlier_ray_pdf\",\n", + " )\n", + " num_ticks = 3\n", + "\n", + " title = (\n", + " \"Posterior conditioned on two mugs: \\ncolor $\\sigma$: \"\n", + " + str(rgb_noise_level)\n", + " + \", depth $\\sigma$: \"\n", + " + str(depth_noise_level)\n", + " )\n", + "\n", + " plt.title(title, fontsize=25)\n", + " plt.legend(fontsize=20)\n", + " plt.xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " plt.ylabel(\"Posterior Probability\", fontsize=20)\n", + " axes.tick_params(axis=\"x\", labelsize=15)\n", + " axes.tick_params(axis=\"y\", labelsize=15)\n", + " axes.set_ylim(0.0, 0.1)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:66: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:66: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:66: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:66: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_106642/3468351267.py:66: SyntaxWarning: invalid escape sequence '\\s'\n", + " label=\"color $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level))\n", + "/var/tmp/ipykernel_106642/3468351267.py:66: SyntaxWarning: invalid escape sequence '\\s'\n", + " label=\"color $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level))\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "num_noise_points = 3\n", + "rgb_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "depth_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "gt_images = []\n", + "gt_image_depths = []\n", + "\n", + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]\n", + "scores = []\n", + "\n", + "#\n", + "for model_ind, model in enumerate(models):\n", + " distance = 0.25\n", + " point1 = jnp.array([-0.1, distance, 0])\n", + " point2 = jnp.array([0.1, distance, 0])\n", + "\n", + " # 0.1 is horizontal range\n", + "\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + "\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + "\n", + " N = len(linear_poses)\n", + "\n", + " all_images = [\n", + " render_rgbd_many(\n", + " r,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + " for r in [renderers[0]]\n", + " ]\n", + "\n", + " plt.figure()\n", + " fig, axes = plt.subplots(1, 1, figsize=(11, 7))\n", + " distances = linear_poses.pos[:, 0]\n", + " model_scores = []\n", + "\n", + " for rgb_noise_level, depth_noise_level in zip(rgb_noise_levels, depth_noise_levels):\n", + " images = all_images[0]\n", + " rendered_imgs = images\n", + " gt_image = images[N // 2, ..., :3]\n", + " gt_image = (\n", + " jax.random.normal(key, shape=gt_image.shape) * rgb_noise_level + gt_image\n", + " )\n", + " gt_images.append(gt_image)\n", + " key, _ = jax.random.split(key)\n", + "\n", + " gt_image_depth = np.array(images[N // 2, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " gt_image_depth = (\n", + " jax.random.normal(key, shape=gt_image_depth.shape) * depth_noise_level\n", + " + gt_image_depth\n", + " )\n", + " gt_image_depths.append(gt_image_depth)\n", + "\n", + " observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + "\n", + " logpdfs, _ = model(observed_image, rendered_imgs, model_args[model_ind])\n", + " model_scores.append(logpdfs)\n", + " axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"color $\\sigma$: \"\n", + " + str(rgb_noise_level)\n", + " + \", depth $\\sigma$: \"\n", + " + str(depth_noise_level),\n", + " )\n", + " scores.append(model_scores)\n", + "\n", + " num_ticks = 3\n", + "\n", + " title = \"Posterior conditioned on two mugs: \\n \" + model_names[model_ind]\n", + "\n", + " plt.title(title, fontsize=25)\n", + " plt.legend(fontsize=20)\n", + " plt.xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " plt.ylabel(\"Posterior Probability\", fontsize=20)\n", + " axes.tick_params(axis=\"x\", labelsize=15)\n", + " axes.tick_params(axis=\"y\", labelsize=15)\n", + " axes.set_ylim(0.0, 0.01)\n", + "scores = jnp.array(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:84: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:84: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:84: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:84: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_106642/2349814831.py:84: SyntaxWarning: invalid escape sequence '\\s'\n", + " label=\"color $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level))\n", + "/var/tmp/ipykernel_106642/2349814831.py:84: SyntaxWarning: invalid escape sequence '\\s'\n", + " label=\"color $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level))\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# ray-tracing likelihood args\n", + "# kray_likelihood_args = [{'color_tolerance': 50.0, #100\n", + "# 'depth_tolerance': 0.01, #0.005\n", + "# 'inlier_score': 5, #2.5,\n", + "# 'outlier_prob': 0.005,\n", + "# 'multiplier': 1.0, # 10000.0\n", + "# 'intrinsics': (100,100,200.0,200.0,50.0,50.0,0.01,10.0,)}]\n", + "\n", + "sweep_args = [1.0, 5.0, 10.0] # [0.005, 0.05, 0.5]\n", + "\n", + "# sweep y from -0.25 to 1.5\n", + "num_noise_points = 3\n", + "rgb_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "depth_noise_levels = np.linspace(0, 0.2, num_noise_points)\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "gt_images = []\n", + "gt_image_depths = []\n", + "\n", + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]\n", + "scores = []\n", + "\n", + "#\n", + "for sweep_arg in sweep_args:\n", + " kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0, # 100\n", + " \"depth_tolerance\": 0.02, # 0.005\n", + " \"inlier_score\": 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": sweep_arg, # 1.0, # 10000.0\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + " }\n", + "\n", + " model = models[2]\n", + " distance = 0.25\n", + " point1 = jnp.array([-0.1, distance, 0])\n", + " point2 = jnp.array([0.1, distance, 0])\n", + "\n", + " # 0.1 is horizontal range\n", + "\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + "\n", + " linear_poses = vec_fun(point1, point2, alphas)\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + "\n", + " N = len(linear_poses)\n", + "\n", + " all_images = [\n", + " render_rgbd_many(\n", + " r,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + " for r in [renderers[0]]\n", + " ]\n", + "\n", + " plt.figure()\n", + " fig, axes = plt.subplots(1, 1, figsize=(11, 7))\n", + " distances = linear_poses.pos[:, 0]\n", + " model_scores = []\n", + "\n", + " for rgb_noise_level, depth_noise_level in zip(rgb_noise_levels, depth_noise_levels):\n", + " images = all_images[0]\n", + " rendered_imgs = images\n", + " gt_image = images[N // 2, ..., :3]\n", + " gt_image = (\n", + " jax.random.normal(key, shape=gt_image.shape) * rgb_noise_level + gt_image\n", + " )\n", + " gt_images.append(gt_image)\n", + " key, _ = jax.random.split(key)\n", + "\n", + " gt_image_depth = np.array(images[N // 2, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " gt_image_depth = (\n", + " jax.random.normal(key, shape=gt_image_depth.shape) * depth_noise_level\n", + " + gt_image_depth\n", + " )\n", + " gt_image_depths.append(gt_image_depth)\n", + "\n", + " observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + "\n", + " logpdfs, _ = model(observed_image, rendered_imgs, kray_likelihood_args)\n", + " model_scores.append(logpdfs)\n", + " axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"color $\\sigma$: \"\n", + " + str(rgb_noise_level)\n", + " + \", depth $\\sigma$: \"\n", + " + str(depth_noise_level),\n", + " )\n", + " scores.append(model_scores)\n", + "\n", + " num_ticks = 3\n", + "\n", + " title = \"Posterior conditioned on two mugs: outlierprob - \\n \" + str(sweep_arg)\n", + "\n", + " plt.title(title, fontsize=25)\n", + " plt.legend(fontsize=20)\n", + " plt.xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " plt.ylabel(\"Posterior Probability\", fontsize=20)\n", + " axes.tick_params(axis=\"x\", labelsize=15)\n", + " axes.tick_params(axis=\"y\", labelsize=15)\n", + " axes.set_ylim(0.0, 0.02)\n", + "scores = jnp.array(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "num_points = 4001\n", + "distance = 0.25\n", + "observed_images = []\n", + "scale = 9\n", + "renderer = b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + ")\n", + "\n", + "for n_ind, (rgb_noise_level, depth_noise_level) in enumerate(\n", + " zip(rgb_noise_levels, depth_noise_levels)\n", + "):\n", + " gt_pose = b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv() @ b3d.Pose.from_translation(jnp.array([0, distance, 0]))\n", + " transformed_vertices = gt_pose.apply(object_library.vertices)[None, ...]\n", + " images = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " gt_image = images[0, ..., :3]\n", + " gt_image = jax.random.normal(key, shape=gt_image.shape) * rgb_noise_level + gt_image\n", + " gt_image_depth = np.array(images[0, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " gt_image_depth = (\n", + " jax.random.normal(key, shape=gt_image_depth.shape) * depth_noise_level\n", + " + gt_image_depth\n", + " )\n", + " observed_images.append(\n", + " jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + " )\n", + "\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:21: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:21: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:21: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:21: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_106642/3592735576.py:21: SyntaxWarning: invalid escape sequence '\\s'\n", + " im_dim_str = \"$\\sigma_c$: \" + str(rgb_noise_level) + \", $\\sigma_d$: \" + str(depth_noise_level)\n", + "/var/tmp/ipykernel_106642/3592735576.py:21: SyntaxWarning: invalid escape sequence '\\s'\n", + " im_dim_str = \"$\\sigma_c$: \" + str(rgb_noise_level) + \", $\\sigma_d$: \" + str(depth_noise_level)\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "plt.figure()\n", + "fig, axes = plt.subplots(1, len(models), figsize=(10 * len(models), 7))\n", + "for model_ind, model in enumerate(models):\n", + " ax = axes[model_ind]\n", + " for n_ind, (rgb_noise_level, depth_noise_level) in enumerate(\n", + " zip(rgb_noise_levels, depth_noise_levels)\n", + " ):\n", + " horizontal_range = 0.1\n", + " point1 = jnp.array([-horizontal_range, distance, 0])\n", + " point2 = jnp.array([horizontal_range, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " linear_poses_batches = vec_fun(point1, point2, alphas).split(10)\n", + " logpdfs = []\n", + " translations = []\n", + " for linear_poses in linear_poses_batches:\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + " rendered_imgs = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (len(linear_poses), 1, 1)),\n", + " )\n", + " logpdfs.append(\n", + " model(observed_images[n_ind], rendered_imgs, model_args[model_ind])[0]\n", + " )\n", + " translations.append(linear_poses.pos[:, 0])\n", + " logpdfs = jnp.concatenate(logpdfs)\n", + " translations = jnp.concatenate(translations)\n", + " im_dim_str = (\n", + " \"$\\sigma_c$: \"\n", + " + str(rgb_noise_level)\n", + " + \", $\\sigma_d$: \"\n", + " + str(depth_noise_level)\n", + " )\n", + " ax.plot(\n", + " translations,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=0.7,\n", + " linewidth=4,\n", + " label=im_dim_str,\n", + " )\n", + " title = \"Posterior conditioned on two two-object scene\\nModel: \" + str(\n", + " model_names[model_ind]\n", + " )\n", + " ax.set_title(title, fontsize=25)\n", + " ax.tick_params(axis=\"x\", labelsize=15)\n", + " ax.tick_params(axis=\"y\", labelsize=15)\n", + " ax.legend(fontsize=20)\n", + " ax.set_xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " ax.grid(True)\n", + " if model_ind == 0:\n", + " ax.set_ylabel(\"Posterior Probability\", fontsize=20)\n", + " else:\n", + " ax.yaxis.set_ticklabels([])\n", + " ax.set_ylim(0.0, 0.008)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_104113/1854635855.py:3: SyntaxWarning: invalid escape sequence '\\s'\n", + " plt.title(\"conditioned image: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level), fontsize=20)\n", + "/var/tmp/ipykernel_104113/1854635855.py:3: SyntaxWarning: invalid escape sequence '\\s'\n", + " plt.title(\"conditioned image: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level), fontsize=20)\n", + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n", + "Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255] for integers).\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for noise_ind, (rgb_noise_level, depth_noise_level) in enumerate(\n", + " zip(rgb_noise_levels, depth_noise_levels)\n", + "):\n", + " plt.figure()\n", + " plt.title(\n", + " \"conditioned image: \\ncolor $\\sigma$: \"\n", + " + str(rgb_noise_level)\n", + " + \", depth $\\sigma$: \"\n", + " + str(depth_noise_level),\n", + " fontsize=20,\n", + " )\n", + " plt.imshow(gt_images[noise_ind])\n", + " plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "<>:3: SyntaxWarning: invalid escape sequence '\\s'\n", + "/var/tmp/ipykernel_104113/524436486.py:3: SyntaxWarning: invalid escape sequence '\\s'\n", + " plt.title(\"conditioned image: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level), fontsize=20)\n", + "/var/tmp/ipykernel_104113/524436486.py:3: SyntaxWarning: invalid escape sequence '\\s'\n", + " plt.title(\"conditioned image: \\ncolor $\\sigma$: \" + str(rgb_noise_level) + \", depth $\\sigma$: \" + str(depth_noise_level), fontsize=20)\n" + ] + }, + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for noise_ind, (rgb_noise_level, depth_noise_level) in enumerate(\n", + " zip(rgb_noise_levels, depth_noise_levels)\n", + "):\n", + " plt.figure()\n", + " plt.title(\n", + " \"conditioned image: \\ncolor $\\sigma$: \"\n", + " + str(rgb_noise_level)\n", + " + \", depth $\\sigma$: \"\n", + " + str(depth_noise_level),\n", + " fontsize=20,\n", + " )\n", + " plt.imshow(gt_image_depths[noise_ind])\n", + " plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(gt_image_depths)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/posterior_mode_volume_test.ipynb b/notebooks/bayes3d_paper/posterior_mode_volume_test.ipynb new file mode 100644 index 00000000..059afea7 --- /dev/null +++ b/notebooks/bayes3d_paper/posterior_mode_volume_test.ipynb @@ -0,0 +1,372 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import jax.numpy as jnp\n", + "import b3d\n", + "import os\n", + "import trimesh\n", + "import matplotlib.pyplot as plt\n", + "import jax\n", + "import numpy as np\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0)\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)\n", + "\n", + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in [9]\n", + "]\n", + "\n", + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")\n", + "\n", + "point1 = jnp.array([-0.05, -0.25, 0])\n", + "point2 = jnp.array([0.2, 1.5, 0])\n", + "\n", + "alphas = jnp.linspace(-0.05, 1.5, 401)\n", + "\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))\n", + "\n", + "linear_poses = vec_fun(point1, point2, alphas)\n", + "transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + ")(jnp.arange(len(linear_poses)))\n", + "\n", + "\n", + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1)\n", + " )\n", + "\n", + "\n", + "N = len(linear_poses)\n", + "\n", + "all_images = [\n", + " render_rgbd_many(\n", + " r,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (N, 1, 1)),\n", + " )\n", + " for r in [renderers[0]]\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "images = all_images[0]\n", + "rendered_imgs = images\n", + "gt_image = images[0]\n", + "gt_near_ind = len(alphas) // 6\n", + "gt_far_ind = 4 * len(alphas) // 6\n", + "gt_image = images[gt_near_ind, ..., :3] + images[gt_far_ind, ..., :3]\n", + "gt_image_depth = np.array(images[gt_near_ind, ..., 3] + images[gt_far_ind, ..., 3])\n", + "gt_image_depth[gt_image_depth == 0] = 10.0\n", + "gt_image_depth = jnp.array(gt_image_depth)\n", + "\n", + "observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.05,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.5,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0, # 100\n", + " \"depth_tolerance\": 0.01, # 0.005\n", + " \"inlier_score\": 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 1.0, # 10000.0\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "gaussian_logpdfs, _ = gaussian_iid_pix_likelihood_vec(\n", + " observed_image, rendered_imgs, gaussian_iid_pix_likelihood_args\n", + ")\n", + "threedp3_logpdfs, _ = threedp3_gmm_likelihood_vec(\n", + " observed_image, rendered_imgs, threedp3_gmm_likelihood_args\n", + ")\n", + "ray_outlier_logpdfs, _ = kray_likelihood_intermediate_vec(\n", + " observed_image, rendered_imgs, kray_likelihood_args\n", + ")\n", + "\n", + "\n", + "fig, axes = plt.subplots(1, 1, figsize=(31, 7))\n", + "distances = linear_poses.pos[:, 2]\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(gaussian_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"gaussian_pdf\",\n", + ")\n", + "# axes.plot(distances, jnp.clip(b3d.normalize_log_scores(threedp3_logpdfs), 1e-3,1), alpha=1, linewidth=4, label='3dp3_pdf')\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(threedp3_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"3dp3_pdf\",\n", + ")\n", + "\n", + "axes.plot(\n", + " distances,\n", + " b3d.normalize_log_scores(ray_outlier_logpdfs),\n", + " alpha=1,\n", + " linewidth=4,\n", + " label=\"new_outlier_ray_pdf\",\n", + ")\n", + "num_ticks = 3\n", + "\n", + "xticks = list(np.linspace(0.35, 3.25, num_ticks))\n", + "axes.set_xticks(\n", + " xticks\n", + " + [\n", + " linear_poses.pos[gt_near_ind, 2],\n", + " linear_poses.pos[gt_far_ind, 2],\n", + " linear_poses.pos[0, 2],\n", + " linear_poses.pos[-1, 2],\n", + " ]\n", + ")\n", + "axes.set_xticklabels(\n", + " [\"%.1f\" % f for f in xticks] + [\"Pose A\", \"Pose B\", \"Near\", \"Far\"], fontsize=30\n", + ")\n", + "axes.tick_params(axis=\"y\", labelsize=25)\n", + "# axes.set_ylim(0.0, 0.1)\n", + "\n", + "title = \"Scene object posterior conditioned on two mugs\"\n", + "plt.title(title, fontsize=40)\n", + "plt.legend(fontsize=30)\n", + "# alpha value: pose = (1 - alpha) * point1 + alpha * point2\n", + "plt.xlabel(\"Distance from camera (meters)\", fontsize=30)\n", + "plt.ylabel(\"Posterior Probability\", fontsize=30)\n", + "# axes.set_yscale('log')\n", + "axes.grid()\n", + "# plt.savefig('posterior_mode_volume.png',bbox_inches = \"tight\")" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "plot_ims = [observed_image[..., :3]]\n", + "\n", + "transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + ")(jnp.arange(len(linear_poses)))\n", + "\n", + "images = jnp.array(images)\n", + "selected_ims = images[jnp.array([0, gt_near_ind, gt_far_ind, -1]), ...]\n", + "plot_ims += [*selected_ims[..., :3]]\n", + "plot_ims = jnp.stack(plot_ims)\n", + "labels = [\"Conditioned Im\", \"Near\", \"Pose A\", \"Pose B\", \"Far\"]" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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jUrb3XmeeeaYuu+yyqj3vJWnChAnab7/9tNdeeymbzVb97NVXX9Xb3vY2/e1vfxt0mQ899JCOPfbYnmX6128Dd8ABB2j33Xfvs/zhvHnzdOaZZw7o2suXL9dRRx2lhQsXVp0PgkCve93rNHfu3Krtf5YvX65jjjlGr7322qDvo5bNnz9fhx12mBYtWlR1PpVKaffdd+/zHNa76qqr9O53v1vlcnnQZZ5xxhn63//9357j1tZW7bvvvtpvv/3U0tJSlTZJEn30ox/VvHnzBnTthQsX6qCDDtKdd95Zdd4YoxkzZmju3LnaZ5991NDQUPXz5557TgcffLCee+65zZbR0dGht73tbXrwwQc3WsaG20i2t7fr+OOP19NPPz2gexhL3nudcsopuvXWW3vO7bjjjpo7d65mzZqlIAiq0t99990655xzJEkrVqyo+jdljNGuu+6q/fffX7vuumufsr73ve9V/R4AwNbmoosuUiqV6jn+n//5Hy1dunRYy/jTn/6kI488UosXL646n06nteeee+qAAw7QzJkz+2yP+Kc//UlHHXWUisXiJq+fJIniOK46FwSBdtllF73hDW/QgQceqJkzZ/bZBqJUKulDH/qQrr322iHd15e//GX98Ic/7DnO5XKaOXOm5syZs8XbSQIAtk/Lly+vOh4/fnyfNCPd//3Zz36mL33pS33GTBobG7XPPvvooIMO0uzZszV9+vQBb+ewXpIkOvPMM3XhhRf2qcf48eO17777au7cuZo6dWrVz8rlsj760Y/qu9/97qDKG6rf/OY3KhQKPcfve9/7qj4vHXrooVX95d7bNgIAtj+04bXRhg/WT3/606rjt771rWNUEwAANm/ChAn65Cc/qZtvvlkrV67UihUr9OSTT+qBBx7QggULtHLlSi1cuFBf+tKXqmIdbr/9dn3/+98fdHmf+MQnlM/nlc1m9ZWvfEUvv/yylixZonnz5vVsxfzZz352OG8RqF1jHVk2Fm677bY+kaLPPffcqJT9gx/8oE/Zhx12mL/33nu9c64nXUdHh//pT3/aZ5WtcePG+WXLlm2yjN4rdq2fgTNu3Dh/xRVX+FWrVlWlX7ZsmT/zzDP71OvPf/7zZu/nmGOO6TMD5uKLL/avvfZaVbonnnjCv/e97+1JN2PGjKp8W7piV6FQ8Lfeequ/9dZb/XnnnVd17fPOO6/nZ/29+tsGb8P8m1uxq729vc/91NXV+csuu6zPymePPvqof8973tPnWX/hC1/YZBm9Z/5sOKvqmGOO8ffff3/V708cx/4Pf/hDn+0NDzjggE2W4733XV1dfq+99qrKt8suu/j/+Z//8WvWrKlKG0WR/8tf/uL322+/qvRveMMbNrstY++tI4wx/tOf/rR/8cUXq9ItWrSoKm3vZ12LK3ZtWMdTTz3VP/XUU1XpV61a5T/5yU/2uf/HHnvMv/3tb/eSfDab9f/+7//uX3nllaq8zzzzjH/zm99clXfKlCkDnjUHAGNlU6ts9f6b+NGPfnTI1+rtiSeeqFrxYv1nr5tuuqnPZ4D29nb/k5/8xE+ePLkq/dlnn73J+qxcudJL8nPnzvWXXnqpf+ihh/ptB6Mo8rfddlvP3/r1r4aGBv/SSy9tsgzvqz+fTJw4sWcW9O677+5/+9vf9rmfxx9/3L/wwgubvS4AYNsy1Bm5XV1dfdrMr3zlK1VpRrr/WywW+4yDnHjiiX7+/PlVfd4N63P77bf7z33uc37y5MmbXe3j3//936uunUql/DnnnNPv9k/PP/+8P+uss7wxpid9GIb+3nvv3WQZw+HQQw+tqmd/K7h/+ctfrkpz6aWXjni9AAAjizZ842q1DR/qil2lUsl/9rOfrcpbX18/oLEBAAAGqvdni29/+9ub/M6892vD74Xvu+++fr9T35hHHnmk6rPB1KlTfRRFm8zTe8Wu9WPnQ9kaGtjWbJeBXT/84Q/7/EHor3Mx3JYuXdqng3XGGWdssuzFixf7qVOnVuXZ3JKCvQO71geabG6LvI997GNVed7znvdsMv2vf/3rqvSZTMbffvvtm8xzwQUX9KmbtOWBXRu66qqrqq492C0IvR9cYFfvLZCam5v9ww8/vMk8vZ+DtdY/9NBDG03fu4O4/nXhhRduspxnn322zxKVCxYs2GSes88+uyr9u971Lt/R0bHJPMVi0Z9wwglV+a644oqNpr///vurOtbGGP+LX/xik2X85Cc/6fcZ1GJg14YfkDblQx/6UFX69QF1DQ0N/q677tpovv6C79hqC0Ct21Qw1vLly6s+I4VhuMmg+4EGdkVR5Pfee++qtF/96lc3+7nv5Zdf7rMl7qba9nw+7++///5NXrO3r33ta1XXP//88zebp7+25rDDDttsOw0A2L4M9Uvhb37zm33amb///e9VaUa6/3vzzTdXpf3gBz84oLp7X/mCdFMBzffee2/V1lATJkzw8+bN2+x1r7vuuqp8++6774DrNBQLFy6sega77LJLv59dnnrqqap0e+6554jWCwAw8mjD+1fLbXjvceHJkydv9Mvxm2++2V999dX+3HPP9dOnT6/Kl0ql/PXXXz/s9QMAbN96f7YY7GtLtm703vsrr7yy6no333zzJtP3F9j13//931tUB2BbsV0GdvX+Im2XXXYZlXK/9KUvVZU7e/bszUamel+JgO0dBLOpLzt7B3YFQTCgjs6aNWt8NpvtyVdXV7fJ/W4POuigQQWxrPfWt761zx/lrTWwq62trU/g1EA7YMcee2xVvtNPP32jafsLHBronsFf+MIXqvJ94xvf2Gjal156yYdhWNXZ3dzKW+t1dXVVzfraeeedfRzH/aY95ZRTqur06U9/ekBlfPSjH+3zHGo1sOvkk0/ebDnLli2rGlxY//rJT36y2bz/93//V5Xn4x//+EBvDwDGxOaCsT7/+c9X/fzUU08d8rXW+9WvflWV7qyzzhpwfR977LGqv9GnnXbagPMO1GGHHdZz/UmTJm02fe/2orW1tc/KjgAADOVL4RtvvNGnUqk+YyUbrgw8Gv3f7373u1XpHnjggQFdfyA2XDHTWjuoVTt6rwx+6623Dlu9evvKV75SVdamVjDpvXr2YAPNAQC1hTa8f7Xchm9swu9AX6lUyr/rXe/yjzzyyLDWCwAA78c+sKuzs9MHQTCg/q33fQO7dtppp03GKgDbE6vt0Jo1a6qOW1paRrxM771+9rOfVZ379re/rTAMN5v34IMP1sknn1x1rSuvvHLAZZ944omaO3fuZtO1trbqbW97W89xPp/XM88802/ap59+Wg888EDP8dSpU/Vv//ZvA6rP5ZdfPqB0W4P/+7//Uz6f7zk+9NBDdeKJJw4o7xVXXFF1/Jvf/Ebr1q0bcNmXXnrpgNJt+LsjSQ8//PBG0/7oRz9SHMc9x5dffrkymcyAyqmrq9NnPvOZnuMXX3xR8+fP75Nu7dq1+sMf/tBznM1m9dWvfnVAZVx66aVKp9MDSjuWjDH62te+ttl0O+64Y59/mzvvvLM+/OEPbzbvu971Lln7rz/hjzzyyOArCgA15Itf/KIaGxt7jn/961/r8ccf36Jrfu973+v5/7q6On3jG98YcN599tlHxx9/fM/xDTfcoCRJtqg+vZ122mk9/79ixQo9//zzg8r/qU99SlOmTBnWOgEAtg9JkmjVqlX629/+pve///06/vjjFUVRVZqvf/3rSqVSPcej0f8tFApVxxuWvyWefvpp/e1vf+s5Pvnkk3XIIYcMOP8XvvCFqvGb3/3ud8NSr96897r22murzp1++ukbTd/7Z1dfffVIVAsAUENow2uzDR8KY4yOO+44nXXWWZo9e/ZYVwcAgGFXX1+vSZMm9RwP9rvMk08+ueq7UGB7tl3+S+jo6Kg6rq+vH/Eyn3nmGa1YsaLneKeddtLRRx894Py9Az3uuuuuAeftHdizKW94wxuqjpcuXdpvujvvvLPq+JRTThlwZ2327Nl9ytla/eMf/6g6HkhAznozZ86s6oSWy+WqYLlN2WeffTRr1qwBpd17772rOq8be08l6c9//nPP/0+ZMkVvectbBlTGehsGBkrS3Xff3SfN/fffr1Kp1HP8zne+U+PGjRvQ9SdOnKh3vOMdg6rTWNh33321xx57DCjt3nvvXXV8wgknKAiCzeZraGjQjBkzeo5feumlQdURAGrN+PHj9dnPfrbn2DmnCy+8cMjXW716tR588MGe4+OOO06tra2DusaG7VpnZ+ewB9HusssuVceDvf6pp546nNUBAGyjjjzySBljql5hGGrixIk65phj9Ktf/Ure+6o8n/3sZ/X+97+/6txo9H933HHHquNf/vKXAy5jU/7yl79UHX/gAx8YVP7x48drzpw5Pcf99XWHwx133FHVt5szZ45mzpy50fSnnnpqVf/x17/+dVV/GwCwdaMN33ra8KHw3usPf/iDjjvuOB1wwAEbnWQPAMBwueOOO+QrO7oN6HXEEUf0e50nn3xSX/3qV3X88cdr991314QJE5ROp/t8bjHG6JVXXunJt2rVqkHV94ADDtiS2wW2KdtlYNeGq0FIUldX14iX+c9//rPqeH2nbKDe/OY3VwXnPPLIIyqXywPKO5DVutbbMGpW0kZXkNrwi1JJG/3DvjGDTV+rer+vRx111KDy9w7uG2hg12De01QqVbUq3cbe07a2Nj3xxBM9x/vtt9+go6B32mmnquOnn366T5rt4Xdnw8GCzRk/fnzV8X777TekvO3t7QPOBwC16rOf/WzV37YbbrihT7sxUPfcc0/VAPdg2s71BtKu9RZFkf70pz/p//v//j+9+c1v1rRp09TU1CRrbZ9O7dvf/vaqvIPp2DY2NmqvvfYacHoAAAaivr5e//Vf/6XvfOc7fX42Gv3fo446qipQ6bvf/a4++clPatGiRYMqq7feX+Ju6eeCZ555ps8X6cOh94pbG67u2Z8pU6ZUvQ9r167VH//4x2GvFwCg9tGGb9xotOHr7bzzzhv9cjxJErW1tWn+/Pm6/PLLteuuu/bkmz9/vg466CB2ZQAA1LTHH39chx9+uPbee29dfPHFuvHGG/X8889r9erVfVYQ7c/atWsHVV7vidHA9my7DOzqvTrQYLa/G6oXX3yx6njfffcdVP5MJlM1S7NUKum1114bUN7ewVqb0nv1st5LKK+3ePHiquPeqw5tzj777DOo9LXIe1+1+lVTU1PVCkoD0XuJ5YGuujSY91Sqfl839p4+++yzVZ3aP//5z/1GVm/q1fv3p/e2p9L28bszceLEAaetq6sblrwbe18BYGvS1NSkL3zhC1XnLrjggiFdq3cQ1vnnnz/odu2d73xn1TX6a9fWW7/t9rRp0/Tud79bP/zhD3X33Xdr2bJl6ujoGNDA8WA6tjvvvPOgJgkAALAx2WxWBx98sC6//HItWbJEn/jEJ/qkGa3+7/Tp0/usIvLjH/9Yu+22m+bOnasvfvGL+vOf/7zJNrk/vT8XTJo0adCfC37729/25E+SZNgn13R2dur3v/99z3EQBANanbP3dozXXHPNsNYLAFC7aMNrow0fKGutWlpaNGfOHH3+85/XE088oZNOOqnn5+vWrdMJJ5wwKgsRAAAwWDfddJPmzp07qF3FehvsCtNNTU1DLgvY1oSbT7Lt6R3YtXLlyhEvs62trep4woQJg75G7zxtbW2aPn36ZvNls9lBl7Xexr6E7P3FY+9VhzZnsOlr0bp16+Sc6zkeyj31954OxEi8p6tXrx7yNTemv6DJ7eF3Z0veny3JCwDbgk9/+tP67ne/27NE82233aY777xz0Cs2jla7JlW2jTzjjDO2eKuJwXRs6dQCAAbq29/+dp8vZIMgUGNjo1paWjRjxoyqFcL7M5r93x/84Ad69dVX9ac//anq/EMPPaSHHnpI3/rWt2SM0ezZs3XsscfqtNNO0+tf//pNlj1Snwuam5uH7Xq//e1vq77IPfroozVlypTN5nvve9+rT3ziE8rn85KkW265Ra+88op22GGHYasbAGBs0IZvHW34UOVyOf3yl7/U/PnztWTJEkmVBQJ+8IMf6Etf+tLYVg4AgA0899xzOumkk6p2EzPG6IADDtAhhxyiXXfdVVOmTFE2m+3zPefpp58+4MVqekulUltUb2Bbsl0Gdm248pUkdXR06Pnnn9frXve6ESuzs7Oz6rj3ykYD0TtPR0fHFtVpS/S+n96rDm3OUO6/1mxr7+lgl78ciA0HDdbjdwcAsCm5XE5f+cpX9KlPfarn3AUXXKB77713UNcZrXZNki655JI+QV1NTU064ogjNGfOHE2fPl0tLS3KZrNVndFHH31Un//854dUFzq1AICBmjNnzhZvaT+a/d9sNqsbbrhB1113nS677DItWLCgTxrvvRYsWKAFCxboG9/4ht75znfqe9/73kbHdUbzc8FQ9d6GcebMmbrtttsGlHf27Nm6//77JVVWIvnlL3+p8847b1jrBwAYfbThW0cbviUymYzOPvtsffGLX+w5d9VVVxHYBQCoKV/84herJiUfcMABuuaaa/rEXPSHXSeA4bFdBnYddNBBCsNQcRz3nJs/f/6IBnY1NDRUHQ9lOd3eeRobG7eoTluid2cun88Pqj7bwnLC29p72jvA6sgjj9SXv/zlLbpma2trn3P9/e4MxrbwuwMA2LSPfvSjPVtJSNJ9992nm2++uc/WiJvSu10799xzB5W/P7vuumufc6+99pq+9a1vVZ370pe+pC9/+ct9Piv0liTJFtUHAIDRMtr9X2OMTj31VJ166ql66qmndOutt+rOO+/UPffco1WrVvVJf/PNN+uuu+7SzTffrMMOO6zPz+vq6qq2XfrLX/6y2RVONmcgq2kN1OLFi3X33XdXnfvBD36gH/zgB0O63jXXXENgFwBAEm14f4azDR8OhxxySNXxwoULtXLlSk2cOHGMagQAwL90dnbq5ptv7jmePHmy/vrXv/b7HXB/BrpbFYBN2y4Du+rr67XffvvpwQcf7Dl344036pRTThmxMnv/cRvKEsK9Oz4D/YM5ElpaWqqOV61aNaigpJFYQnm0NTc3y1rbM8Nna39Pey+pnc1m9Za3vGXYy+nvd2cwtoXfHQDApqXTaV188cU688wze8595Stf0Tve8Y4Bz/Dp3a7tsMMOI9Ku3XDDDSoUCj3HH//4x3XppZcOKO+aNWuGvT4AAIyEsez/zpo1S7NmzdI555wj772eeeYZ3XLLLbr++ut1zz339KTr6OjQSSedpBdeeKHPl9gTJkyo+lJ4v/3206RJkwZ9DyPlmmuukfd+2K735JNPav78+Zo7d+6wXRMAsHWiDa99/d3P0qVLCewCANSEhx9+uGoLxlNPPXXAnwWef/75qpW+AAydHesKjJUTTjih6vj3v//9iAaM7LzzzlXHjz766KDyl0olPfvssz3HmUxGkydPHpa6DUXvFSueeOKJQeV/7LHHhrM6Y8IYo+nTp/cct7e396wsMlC9fw96/56Mpl122aXq+Pnnnx+RcvjdAQAMxOmnn161lPOCBQt0/fXXDzj/aLVrDzzwQNXxJz/5yQHnffLJJ4e7OgAAjIha6f8aY7TXXnvpnHPO0d1336277rqrKph7xYoV+sUvftEn32h9LhgK772uvfbaYb9u760dAQDbJ9rw2hdFUZ9zfAkOAKgVr732WtXxnnvuOeC8f//734e7OsB2a7sN7DrrrLOqZn+USqU+2+gMp4MOOqjq+M477xzUbMy777676gP+fvvtp3Q6PWz1G6z999+/6vgf//jHoPIPNv1gWFv9az2cs1576/2+DraB6p2+9/VG07Rp06q2I124cKGWLl067OXU8u8OAKB2BEGgr33ta1Xn/v3f/33A2xceeeSRVccj1YmkYwsA2F7UYv/3sMMO0ze/+c2qcxuuALLeaH0uGIq77rpLixcv7jneZZdd5L0f9Oull16qWtn0V7/6VdWsagDA9os2vLa99NJLfc5ta6uSAQC2Xr2/Zx9oP9N7rx//+McjUSVgu7TdBna1trbqIx/5SNW5K664Qv/85z+3+Np//vOf+5zbc889q1bYevHFF3XHHXcM+Jo///nPq44PP/zwoVdwGBxxxBFVx9ddd12/M0v68+ijj2rBggXDX6lu9fX1Vcf5fH7Eyur9PgxmRuyzzz6re++9t+c4k8nowAMPHK6qDckxxxxTdfzDH/5w2Ms45JBDqoISb7755gFvRbVixYp+/30BALZNJ510kt74xjf2HD/zzDP9zuDtz9SpU7X33nv3HL/wwgv6y1/+Mux1HGrHdsGCBbr//vuHvT4AAIyUWu3/HnrooVXHvbeLkvr2dX/yk58MeAxjpPV+jieffPKQrjN9+vSqZ7FmzRr96U9/2pKqAQC2EbThte1vf/tb1XFdXZ2mTZs2RrUBAKDalClTqo77C8Tuz49//OMRjQcAtjfbbWCXJF188cWaMWNGz3GSJHrPe96jxx9/fEjXi6JIn//85/WpT32qz8+MMX0Cyc4777wBrTrx4IMP6rrrrqu61kc/+tEh1XG4zJo1q6oDt2zZMv3gBz8YUN7zzjtvpKolSRo3blzV8YYzX4fbqaeeWhVIdvfdd+uPf/zjgPJ+7nOfqzr+f//v/6m5uXk4qzdon/nMZxSGYc/xf/7nf+rhhx8e1jJaWlqqtkItFou66KKLBpT3ggsuYMYxAGxHjDH6+te/XnXuq1/96oAHcXt/5jj33HO1bt26YaufNLSObZIkg9qyEQCAWlCr/d/eXwK3trb2STNnzpyqFT+WLl2qr3zlK8NS/pbo6urqs9X0qaeeOuTrnXLKKVXH11xzzZCvBQDYdtCG167FixfrZz/7WdW5o48+WplMZoxqBABAtTlz5lQt2PH73/9e99133ybz3HTTTfrsZz870lUDtivbdWBXS0uLfv3rXyuVSvWce/XVV3X44YfrV7/61aC28PvHP/6huXPn6jvf+c5G833iE59QLpfrOX744Yd19tlnb7Kcl156SSeddFJVmuOPP1677bbbgOs2Us4999yq4wsuuGCzq5BdeOGFuvXWW0ewVtLrX//6quMbb7xxxGbxtLS06MMf/nDVuQ9/+MN67LHHNpnvoosu0s0339xzbK3VZz7zmRGp42DsuuuuVQGIhUJBxx133KBXFPn73/+uj3/84xv9+TnnnFO1RcSPfvQj/e///u8mr3nllVfqyiuvHFQ9AABbv3e84x1Vs3iXLFmi5cuXDyjvaaedVvW54LnnntOxxx474PxSJXD/mmuu2eiW3YccckjV8YUXXqhCobDR6yVJog9/+MOs1gUA2OqMRv/3wgsv1C9/+UvFcTygOnnv9Z3vfKfq3Jw5c/pNe8kll8jafw2DXXbZZfra1742qLGfl19+Weedd57mzZs34Dyb8rvf/U6dnZ09x3vttZf23XffIV/vfe97n4Ig6Dn+y1/+ohUrVmxRHQEAWz/a8OFvw4fDo48+qmOOOUZdXV1V53sH0wEAMJbq6+t14okn9hwnSaJjjz1WP/nJT1QsFqvSLly4UJ/85Cd1/PHHq1QqadKkSRo/fvxoVxnYJm3XgV2SdMABB+inP/1pVcegra1N73//+3XggQfqf/7nf/rd41yq/HG64oordMghh+iII47YbEdo2rRpuuyyy6rOXXnllTrqqKP0wAMPVJ3v6urSz372M82ZM0dLly7tOT9u3Dj96Ec/GuxtjohTTjlFb3nLW3qOS6WSjjnmGH31q1/VypUrq9I+9dRTOumkk3pW3dhwpbThNmnSJM2ePbvneOHChTr44IP1/e9/XzfddJNuu+22qlfvRmew/uM//qPqftra2nTIIYfoO9/5jtra2qrSPvHEEzrxxBP1ta99rer8eeedV7XV1Fj67ne/W1WXV155RW9+85v1oQ99SA888EC/nfPOzk7dc889uuCCCzRz5kwdffTRuuWWWzZaxsEHH1wVQOa91wc+8AH927/9W9Xvu1T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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "f, axarr = plt.subplots(1, len(plot_ims), figsize=(31, 7))\n", + "for ind, im in enumerate(plot_ims):\n", + " axarr[ind].imshow(im)\n", + " axarr[ind].set_xticklabels([])\n", + " axarr[ind].set_xticks([])\n", + " axarr[ind].set_yticklabels([])\n", + " axarr[ind].set_yticks([])\n", + " axarr[ind].set_title(labels[ind], fontsize=30, pad=20)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/resolution_posterior_likelihood.ipynb b/notebooks/bayes3d_paper/resolution_posterior_likelihood.ipynb new file mode 100644 index 00000000..54bae64f --- /dev/null +++ b/notebooks/bayes3d_paper/resolution_posterior_likelihood.ipynb @@ -0,0 +1,401 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib\n", + "from b3d.bayes3d.image_likelihoods import (\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## L2 distance test\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + } + ], + "source": [ + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0)\n", + "\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_trimesh(mesh)\n", + "\n", + "h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0\n", + "renderer_scales = jnp.array([1, 3, 5, 7, 9])\n", + "renderers = [\n", + " b3d.RendererOriginal(\n", + " scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0\n", + " )\n", + " for scale in renderer_scales\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "linear_pose_from_points = (\n", + " lambda points1, points2, alpha: b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv()\n", + " @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2)\n", + ")\n", + "\n", + "\n", + "def render_rgbd_many(renderer, vertices, faces, attributes):\n", + " return renderer.render_many(\n", + " vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1)\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# gaussian iid args\n", + "gaussian_iid_pix_likelihood_args = {\n", + " \"rgb_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.025,\n", + " \"outlier_prob\": 0.01,\n", + "}\n", + "\n", + "# GMM args\n", + "threedp3_gmm_likelihood_args = {\n", + " \"variance\": 0.1,\n", + " \"outlier_prob\": 0.1,\n", + " \"outlier_volume\": 10**3,\n", + " \"filter_size\": 3,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}\n", + "\n", + "# ray-tracing likelihood args\n", + "kray_likelihood_args = {\n", + " \"color_tolerance\": 50.0,\n", + " \"depth_tolerance\": 0.01,\n", + " \"inlier_score\": 25, # 2.5,\n", + " \"outlier_prob\": 0.005,\n", + " \"multiplier\": 10.0,\n", + " \"intrinsics\": (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "models = [\n", + " gaussian_iid_pix_likelihood_vec,\n", + " threedp3_gmm_likelihood_vec,\n", + " kray_likelihood_intermediate_vec,\n", + "]\n", + "model_names = [\"i.i.d Normal\", \"3DP3 GMM\", \"Surface-ray\"]\n", + "model_args = [\n", + " gaussian_iid_pix_likelihood_args,\n", + " threedp3_gmm_likelihood_args,\n", + " kray_likelihood_args,\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "num_points = 4001\n", + "distance = 0.25\n", + "observed_images = []\n", + "\n", + "for r_ind, renderer in enumerate(renderers):\n", + " gt_pose = b3d.Pose.from_position_and_target(\n", + " jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3)\n", + " ).inv() @ b3d.Pose.from_translation(jnp.array([0, distance, 0]))\n", + " transformed_vertices = gt_pose.apply(object_library.vertices)[None, ...]\n", + " images = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (1, 1, 1)),\n", + " )\n", + " gt_image = images[0, ..., :3]\n", + " gt_image_depth = np.array(images[0, ..., 3])\n", + " gt_image_depth[gt_image_depth == 0] = 10.0\n", + " gt_image_depth = jnp.array(gt_image_depth)\n", + " observed_images.append(\n", + " jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1)\n", + " )\n", + "\n", + "vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# sweep y from -0.25 to 1.5\n", + "plt.figure()\n", + "fig, axes = plt.subplots(1, len(models), figsize=(10 * len(models), 7))\n", + "for model_ind, model in enumerate(models):\n", + " ax = axes[model_ind]\n", + " for r_ind, renderer in enumerate(renderers):\n", + " horizontal_range = 0.1\n", + " point1 = jnp.array([-horizontal_range, distance, 0])\n", + " point2 = jnp.array([horizontal_range, distance, 0])\n", + " alphas = jnp.linspace(0, 1, num_points)\n", + " linear_poses_batches = vec_fun(point1, point2, alphas).split(10)\n", + " logpdfs = []\n", + " translations = []\n", + " for linear_poses in linear_poses_batches:\n", + " transformed_vertices = jax.vmap(\n", + " lambda i: linear_poses[i].apply(object_library.vertices)\n", + " )(jnp.arange(len(linear_poses)))\n", + " rendered_imgs = render_rgbd_many(\n", + " renderer,\n", + " transformed_vertices,\n", + " object_library.faces,\n", + " jnp.tile(object_library.attributes, (len(linear_poses), 1, 1)),\n", + " )\n", + " logpdfs.append(\n", + " model(observed_images[r_ind], rendered_imgs, model_args[model_ind])[0]\n", + " )\n", + " translations.append(linear_poses.pos[:, 0])\n", + " logpdfs = jnp.concatenate(logpdfs)\n", + " translations = jnp.concatenate(translations)\n", + " im_dim_str = str(renderer_scales[r_ind] * w)\n", + " ax.plot(\n", + " translations,\n", + " b3d.normalize_log_scores(logpdfs),\n", + " alpha=0.7,\n", + " linewidth=4,\n", + " label=im_dim_str + \"x\" + im_dim_str + \" pixels\",\n", + " )\n", + " title = \"Posterior conditioned on two two-object scene\\nModel: \" + str(\n", + " model_names[model_ind]\n", + " )\n", + " ax.set_title(title, fontsize=25)\n", + " ax.tick_params(axis=\"x\", labelsize=15)\n", + " ax.tick_params(axis=\"y\", labelsize=15)\n", + " ax.legend(fontsize=20)\n", + " ax.set_xlabel(\"Horizontal distance from GT (meters)\", fontsize=20)\n", + " ax.grid(True)\n", + " if model_ind == 0:\n", + " ax.set_ylabel(\"Posterior Probability\", fontsize=20)\n", + " else:\n", + " ax.yaxis.set_ticklabels([])\n", + " ax.set_ylim(0.0, 0.008)\n", + "fig.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Z9efqq6+WcuXKiYjIG2+8IbNnz5bNmzfLtm3bZNu2bY7dFn0ZP368hIaGSmpqqrRp00aeeuopWbp0qSQlJcn48eOlTp06dhB96qmnLth3xfHx8fLGG2+ISEZf+ho1asgzzzwjX3/9taxfv15WrVol06dPl0cffVTKly8vXbp0yTYwYtu2baVt27YiktFnvkmTJjJjxgxZt26dfP311/K3v/1NhgwZYkH4V9C1a1cRyThZuuOOO+Tll1+WZcuWydq1a2XMmDFSu3ZtWbJkiTRp0sRxHuHh4TJy5EgRyegJ2LBhQ3n99ddl9erVsnr1annttdekUaNGkp6ebiHk6yvMgngP4cclfXTuEjh16pTec889mYYI8PV3oQfEcxo4TjXzoHROT1tOmzbNxpvJ+hccHKzjxo3L04B43t577z3H9byUA+K58bfOqhnDkTgNqOf9Fxoa6nM4huPHj2uTJk0cp0tISNDk5OSL9kSz0/unmrN9SdX/E+xZh+7I+jdgwIAc7Qf/+te/HAfEK1y4sM6bN88GG2zdurVje/P7HvJEs7Mr6kpBJKOv9qeffirfffeddO3aVSpVqiSFChWS0NBQKV++vLRt21bef/99GTBgQLZpw8PD5fPPP5fZs2dLhw4dJDY2VkJDQyUyMlIaNmwow4cPl82bN/t9SKsg3HfffbJ+/Xrp2rWrtaNs2bLSqVMnWbFihT1ZnR8PPfSQzJw5U1q1aiWlSpXy+5yBm1atWsm2bdtk0KBBUrt2bSlevLiEhYXJ1VdfLZ07d5bly5fL6NGjM/WXv1B69+4tO3bskKFDh0qTJk2kZMmSEhwcLEWKFJGqVatKx44dZezYsbJ7926pXLlytumLFSsmS5YskVGjRkn9+vWlaNGiUqxYMaldu7YMHz5cVq5ceUF6nl1Kzz//vMybN09atWolkZGRNtR8hw4dZOHChXb27s/gwYNl6dKlcvfdd0upUqUkLCxMKlSoID179pSkpCRp06aNHD9+XETEbir7kt/3EM4CVC9Ah2IAyIPz589LiRIl5MyZMzJkyBAZNmzYpW7SFeeKu1IAcPn64osv7IZ1o0aNLnFrrkxcKQC4aLZt2+b4dc7OnTuladOmsmvXLildurTs2rUrX19ZIm/Y4gAumuuuu07atGkjd955p1x//fVSpEgROXDggCxevFjGjh1rPYXeeOMNAuES4UoBwEXj70n5wMBA+de//iUDBw68SC1CVkQxgItmzpw5Mn/+fFm5cqXs379fDh06JGFhYVK2bFm5+eabpV+/foxpdIlxpQAAMPQ+AgAYQgEAYAgFAIAhFC6AnTt3XnYjMFasWFECAgL4kXL85Vzu+3b37t0lICBAKlaseKmbkiOEAv6y/P2wu+cvp797MX/+fGnfvr2UK1dOwsLCpFy5ctK+fXuZP3/+hV2RAuQ9ZLS/vyVLlvid359//inPP/+81KxZU4oXLy7FixeXmjVryvPPPy+HDh268CuEAkco/A+7+eabc3VQQ96kp6dLr169pE2bNvLFF1/I7t27JSUlRXbv3i1ffPGFtGnTRnr37i3p6emXuqkX1Zo1ayQ+Pl6GDRsmGzZskBMnTsiJEydkw4YNMmzYMImPj8/0S4T438BzCleInTt3XuomXDIPPfSQPPzww47l/n7YffDgwfLBBx+IiEhCQoI888wzcs0118j27dvltddek/Xr18uECRMkJiZGXn755QJt+4Xk74eAKlWq5Fj2xx9/SNu2beXgwYMSHBwsTz75pNx5550iIjJ37lwZMWKE7N27V9q2bSvJycn22xwXwpW8b18IhAL+8kqVKpXnB6K2bNliw0LXq1dPli1bZr/TXL9+fbnrrrukWbNmkpSUJK+//rr07Nnzf2ao5vw8JDZ48GA5ePCgiIhMmzbNfoBKRKRp06ZSt25d+b//+z85cOCADBky5LK5twb/+PoIcDFy5Ej7jeJRo0ZZIHgULlxYRo0aJSIZv2X81ltvXfQ2Xmz79u2TqVOniojIbbfdlikQPDp16iS33XabiIh8+OGHsm/fvovaRuTdRQsF7xtcIhm/yzts2DBJSEiQiIgIx546X3zxhdx7771y9dVXS3h4uEREREi9evVk6NChfn+YfsuWLfLII49IjRo1pFixYhIaGiqxsbFSu3Zt6dmzp8yYMcP1R+lXrFghXbt2lYoVK9qyExISZMiQIXaWlBc57Y0wefJk22bel8ie6ZcuXSoiIkuXLs12kzDrvHPaQ2POnDlyzz332M3U6OhoueGGG+SVV16RkydP5rit6enpMm7cOGncuLFERkZKkSJFpGbNmvLSSy/J6dOnXdtwuVBV+fLLL0UkYyA3p6GcGzVqJNdee62IiHz55ZeOPzzvZOvWrVK0aFEJCAiQhIQEx98OT01NlYYNG0pAQIAUKlRIfv7551wtp6DMnj3b7p/06NHDsZ5nX0tPT5fZs2f7LPfeV3fv3i1PPvmkVK1aVQoXLiwxMTFyxx13yNdff+3aHqd9uyC3a1pamkyZMkXuvPNOiY2Ntc/GjTfeKCNGjHD9feqcmDVrltx99932uStWrJjExcVJ06ZN5bnnnru492Yu1k+8ef/83ZYtW7RixYquP/F4+PBhvfXWW11/aq9UqVK6atUqn8v75JNPHH+u0vtvw4YN2aZNS0vTfv36uU5XokQJXbhwoc9l+/sJxJz8ZKSq889ceqZ3+8s6b38/Z1mQPzW6adMmbd68ueN8GjRooCdPnnRcb6d1yC3PfNx+rtLN9u3bbR59+vRxrfv3v//d6u7YsSPXyxo3bpxN//TTT/usM2TIEKvzzjvv5HoZqpk/h3nVtWtXm8fevXsd6+3Zs8fqPfDAA9nKvT8HiYmJWqpUKcd95sknn3Rcjtu+XRDb9bffftNatWq5fjYqV66smzdv9jl/t897amqq3nvvvX4/z3Xr1nVc/4J2SUKhZs2aGhISoo888oguWrRIk5KSdPr06bpy5UpVVT179qzWqVNHRUSDgoK0a9euOn36dF29erUuX75cX3rpJY2OjlYR0cjISN25c2emZe3bt0+LFCliwfHPf/5TFy5cqOvWrdPvv/9ep0yZoj179tSoqCifofD0009bWytVqqRjx47VtWvX6uLFi/WJJ57QkJAQ+/3XH374Idv0FzoUdu3apRs2bNB69eqpiGi9evV0w4YNmf6y7qD+QqFTp062rFq1aum///1vTUxM1AULFmiPHj3sd3WjoqJ0165drm1t3LixBgYGardu3XTevHmanJyss2bN0htuuMHqPPvss47rXdChUL16da1WrZoWKlRIixYtqpUrV9YHHnhAv/vuO9fp58yZY/N46623XOuOGDHC6s6bNy9P7W3Xrp2KiAYGBmZr24oVKzQoKEhFMn67OD09PU/L8P4ctmzZUmNiYjQkJERjYmK0WbNmOnz4cD18+LDrPOrWrWsnRv54fpe7fv362co8n4OYmBitWLGihoWF6bPPPqvLli3TNWvW6DvvvKNXXXWVtXfkyJE+l+Fv387Pdv3zzz+1fPnyKiIaFham/fv3108//VQTExN18eLFOnDgQPut6Li4OD169Kjjevran0eNGmXrd+ONN+rkyZN1+fLlum7dOl20aJG++eab2rJlS23QoIHDFi54lyQUAgMDdcGCBY51Bw0apCKiERERmpSU5LPOzp07bYe5//77M5V98MEHtixfB32P06dP6+nTpzP9308//aSBgYEqIlqjRg09cuRItunmz59vdXy9WRc6FDyaNWumIqLNmjVznY+q+wdn7ty5tpzmzZvruXPnstXxPuPq1KmTa1tFRD/88MNsdc6ePas1atRQEdHo6Gg9f/68z7YWdCi4/d19990+P8iqqmPGjLF6n376qeuyPv30U6s7duzYPLX34MGDWqZMGRURLVeunB2cjx07ZlfWJUuWdD0798f7c+j0FxERoV988YXjPEqXLq0iotdff73f5V1//fUqIlqmTJlsZd5XvCEhIbp06dJsdXbv3q3lypVTEdEiRYrogQMHstXxFwr52a7333+/7YtOV4Dr1q2zk9BBgwY5rqev/blp06YqItqwYUPHz4Oq6qFDhxzLCtoludHcvXt3adWqlc+ykydPyrvvvisiIsOGDZO6dev6rFehQgV57rnnRETk008/lVOnTlmZ56ZWZGSkaw+LQoUKZbtxOGbMGPu+dMKECRIREZFtutatW0vPnj1FRGTt2rWSmJjouIz/BZ7tHRISIpMmTZLQ0NBsdXr37i0tWrQQEZHPP/9c9u7d6zi/Dh06SJcuXbL9f1hYmPTv319ERA4dOnTBvxMvXLiw/O1vf5Px48fL8uXLZf369bJw4UIZPHiwREdHi0jGPat27drJ+fPns01/4sQJe120aFHXZXl3a3W79+KmZMmSdm9m165d0rdvXxER6d+/v91TGj9+vJQpUyZP8/eIj4+X5557TubMmSPJycmyevVqmTJlin0mjx49Kh07dnR8KM+zXfxtE5H/bhd/26RPnz5y0003Zfv/2NhYefPNN0VE5NSpUzJlyhS/y8wqr9t1586dMmPGDBERGT16tGMX3YSEBOnXr5+ISK57WXmOVY0bN3b9UaGoqKhczTdfLlb6eJ+hfPvtt471vM9a/Z0Rbdy40ep6n2VMnDjR/t/tjMeXKlWq5OgsaM2aNbaMl19+OVPZ/9KVwvnz5+3y94477nCdx4wZM6w906ZNc2zrzJkzHeeRmJho9WbNmuW33fnh6yrPY9++fZqQkGBtefvtt7PV+ec//5mjfVZV9dtvv7W6w4YNy1e7H330UZvXfffdZ6979eqVr/mqum8TVdWxY8fa8mJjY/XMmTPZ6niukps2bep3eZ4z4aCgoGxl3lcKycnJjvNISUnRiIgIFRG97bbbspX7u1LwyO12HT16tIqIFi5cWFNTU13n7X3c+u2333yup6/P+0033aQiGfckDh486LqMi+WSXCnUrFnTsSwpKcleX3XVVa6P4XtfBXh3ebvrrrvsDL99+/Zy6623yltvvSXJycmSlpbmuOxz587J1q1bRUSkYcOGruuQkJAgISEhIiKyceNG17qXsx07dlhvIH/r7F3uts7XXXedY5n3GY/3mfiF4Osqz6N06dLy2Wef2Xvo6VbqLTw83F479Vzx8O7FlvXqM7deffVVuf7660VEZPr06SIiUqVKFRk5cmS+5ivivk1EMs7YH3zwQRER2bNnj8ycOTNbHc928bdNRP67Xdy2SWhoqNSqVcuxPCQkRBISEkTE/wN3bnK7XT3HotOnT0twcLDrscjz4J6I5Kr7bbdu3UTkv79d3bNnT5k+fbrs2rUrL6tYIC5JKERGRjqWHThwIE/z9O7mGB0dLbNnz5ayZcuKqsrixYvlySeflHr16klUVJR06NBB5s6dm20e3l1cS5Uq5bq8kJAQ+wri8OHDeWrz5cC77f7W2fvy2m2dCxcu7FgWGPjfXc4toC+GuLg4admypYhkfCj37NmTqbxYsWL22t/XH95fX+bkaxU34eHhMnr06Ez/N3nyZL9PXheUPn362GtPt2dvnu2Sk6/JPNvFbZtERUVJUFCQ63xKly4tIvn7rOV2uxbEscifnj17yqBBgyQ4OFiOHTsmkyZNkvvvv1/Kly8vlStXlgEDBsiOHTvy1I68uiRPNLvtAN4HinXr1tmZnD9ZH6Nv2rSpbNu2TWbOnClfffWVLFu2THbt2iXHjx+XWbNmyaxZs+S2226Tzz//3OdBzN9vyf4VXYnrXL16dfnqq69EJKOffGxsrJV571P+ztz++OMPe12+fPl8tyvrlcvChQulcePG+Z5vTlSvXt1e7969O1t5uXLlZP/+/Tk6m/VsF7dtcjH3u9xsV8+xqGTJkrJ48eIcL8NteBBfXnrpJfn73/8uU6dOlW+//VZWr14tp0+flu3bt8uIESNk1KhR8s4779i9kAvtshvmwnP2LSISExOTrzFTwsPDpXPnztK5c2cREfn1119l3rx5MmrUKNmyZYssWLBABg8ebE+hel/B7N+/33XeqampNgpkbm8Cec6W/Q2g5n32eaF4t93fOntfFl/UG18XkNsByfvg+J///Md1Pt7l1apVy1ebJk6cKJ9//rmIiBQvXlyOHz8uL730ktx+++1+v+IrCP4O0tWrV5fk5GQ5duyY7Nu3z/HG9969e+X48eMi4r5NDh06JGlpaa4ni559Mz/7XW63q+dYdOLECalWrZrfq5n8qFChggwaNEgGDRok58+fl8TERPnkk0/k/fffl7Nnz8rDDz8sDRs2tK/RLqTLbpgL75X+/vvvC3TelSpVkv79+0tiYqKFzSeffGLlYWFhUqVKFRHJGAHSzfr1663HSm7HkPFcfh89etS13pYtW1zLC+IMKy4uzq6U/K2z91OVf5UfV/fuAeV9lSCSsb94/s/X1yjeli1bJiIiZcuWzde4+Tt27JDHHntMRDK2cXJyskREREhqaqp06dLlopwouG0TEZEbb7zRXrttF++yJk2aONZLSUmRH3/80bE8NTVVfvjhBxHJ+36Xl+3qORadO3cu073OCy0kJEQaN24sI0eOlGnTpomIiKrKZ599dlGWf9mFQosWLewg9c477+R6yICcKF68uNSvX19EMsaDz7p8EZFNmza5Plo+YcKEbNPklOfy8sSJE7J582afdVJSUnze5PPmueHnNlSHP8HBwdKsWTMREVm0aJHrVwKedQ4ODv5LDNf966+/yqJFi0RE5JprrpGyZctmKg8ICJB27dqJSMaVwOrVq33OZ/Xq1Xal0K5duzyHdVpamnTp0kVOnjwpYWFhMnXqVKlcubKMHTtWRDLuezz++ON5mnduvP/++/bas294u+uuu+xqd9KkSY7z8XTPDAwMlLvuust1mW5dTWfNmmX3+3L7WRPJ+3Zt27atvZcFcZM/L5o3b26vsx6rLpiL1c0pN4/XP/PMM1b3scce07S0NMe6+/bt0/Hjx2f6v6+//lr37NnjOM3Ro0e1bNmyKiJ67bXXZirzfnitVq1aeuzYsWzTL1iwwJ6CzMvDa+vWrbPy3r17+2xj1mE2fHVJ7dGjh4pkPLXt7wnXnD681qpVK01JSclWx/uBQH8Pr/lqq4e/baNaMA+vzZ492/VhoKxdUt98802f9TZv3mzvdb169bI97Hj69Gl7sjw4OFi3bNmS5zYPHTrUsT1dunTJczdrj59++km3bt3qWuf999+35ZQpU8ZxOBLvoS58Pdj3ySefWLlTV9GsD68tX748W529e/fq1VdfbV1D9+/fn62Ovy6p+dmu3k/6O+0jHjt27MjWVdt7PX3tzx9++KHrfur9UOTw4cNdl19QLstQOHv2rDZs2NDq16pVS0ePHq0rVqzQ9evX63fffaejRo3Sdu3aaWhoaLZxQbp166YhISHapk0bHTlypH7zzTe6bt06Xbp0qb777rtarVo1m7ev4Qu8h7m45pprdNy4cZqYmKhLlizRAQMGZBrmwtdYQDk58HkP+dCtWzf97rvvNDk5WT/++GMb86lx48auB9rx48db+eOPP65JSUm6detW3bp1a7ahP/x9cLzHX6lTp45+9NFHmpSUpIsWLdIHH3wwV8NcXA6hUKFCBY2NjdVHHnlEp02bpitXrtT169frokWLdPDgwVqyZElbzo033qhnz551nNezzz5rdRMSEvTjjz/WxMRE/fjjjzMFy8CBA/Pc3jVr1mhwcLCKZDxVnjXkjx07Zu9hTEyM7tu3L9fLmDRpkgYFBWmLFi30zTff1IULF2pycrKuWbNGp0yZoq1atbJ1CQoK0tmzZzvO6/fff9eYmBgLw3/84x+6fPlyXb58uf7jH/+wdYmJidE//vjD5zy8h7moUKGChoeH68CBA3X58uW6du1aHT16tMbGxvo9KLvt2/ndrocOHdK4uDhrw0033aQTJkzQVatW2VAUb7zxhrZo0UIDAwO1Y8eOjuvpa38WES1durQ+9NBD+uGHH+rKlSt13bp1On/+fH3yySe1UKFCKiJatGhR/f333x3ejYJ1WYaCqurx48e1Q4cOmc6Wnf5uueWWTNPmZMA4EdG+ffv6vApJS0vThx9+2HXaEiVKOA7VkZMD3y+//OI6ANhTTz3l90B74sSJTDus99+lHBDvcgmFnOwDHTt29PtAV1pamvbs2dN1Pg8++KDrFa2bkydP2kOTkZGRPkNXVXXZsmV2FdumTZtcLyfrUCROf9HR0Tm6Glm9erUNH+Hrr0yZMrp69WrH6bMOiOcd1Fn/Hn30Ucf5OO3bBbVd9+7daw/h+fvr0aOH63pmlZN5lihRQufPn++4/gXtsg0Fj+XLl2uvXr302muv1WLFimlwcLBGRUVp/fr1tV+/fvrVV19le9rw8OHD+tFHH2nPnj21Xr16WrZsWQ0NDdVChQpp1apVtVu3bj4vVbNatmyZdu7cWa+++moNCwvT4sWLa+3atXXQoEE+x2DxyMmBTzVjYLuHHnpIK1SooKGhoRoTE6OtW7e2AdVycqDdt2+fPvbYY1qtWjV7MjkvoeAxe/Zs7dChg8bGxmpoaKhGRkZqw4YNdfjw4XrixAnH6S63UFiyZIkOHTpUW7durVWrVtWoqCgNDg7WiIgIjY+P1z59+tgAjDk1b948bdeunW2b2NhYbdeunX711Vd5bqeqau/evW2dZ8yY4Vp34MCBVvfdd9/N1XL279+vH3zwgfbq1Uvr1q2r5cqV00KFCml4eLjGxsbq7bffrm+//bbPr0ydHDx4UIcMGaI1atTQokWLatGiRTU+Pl6HDBmif/75p+u0WQ+Wv//+uz766KN6zTXXaHh4uEZHR2vr1q39bl+nfbugt+vcuXO1c+fOGhcXp4ULF7aBBBs3bqwDBgzwOXaTr/X0tnHjRn311Ve1bdu2Wr16dY2OjtagoCCNiIjQRo0a6QsvvJCnq8L8CFC9AHdyAcCP7t27y5QpU6RChQr8pOZl5LLrfQQAuHQIBQCAIRQAAIZQAAAYQgEAYOh9BAAwXCkAAEyOh86+EsfaB4C/kpx8McSVAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwhAIAwBAKAABDKAAADKEAADDBl7oBQFYPFyrmWn7yzCnHstCwcNdpo0qWdCzbf+CgY1mhYkVd53v++EnHsqNpqa7TztTzruXAxcSVAgDAEAoAAEMoAAAMoQAAMIQCAMAQCgAAQygAAAzPKeCyU+aqMq7lJ3b85lgWEhPpOm2RUmWdy8Kcn0UofG1l1/keWLDAseyaOrVcp52ZnORaDlxMXCkAAAyhAAAwhAIAwBAKAABDKAAADKEAADB0ScVlJygk1L1CoPO5TMqho66Tph487lh29T33OJb9vmCee5tCQhyL0tLdJwUuJ1wpAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwdEnFZScg2Ll7Z0YF5yINCHKdVDXNsWzrtI8cy4rExLjO91RKinPZ8ZOu0+bVsDp1XcufW5d8QZaLvzauFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGB4TgGXnbTTZ1zLU9NSHcsCpZDrtAGFwxzLQlOdh+w+cua063wLBzifX2m6c3vz4/iePRdkvriycaUAADCEAgDAEAoAAEMoAAAMoQAAMIQCAMDQJRWXnbRw990yNci562hgivsw1SHFSzuWndl/zLGsSLhzV1YRkTSXbqfp55yH1c6P1/ftvSDzxZWNKwUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYnlPAZSft+AnX8uA0l37/xYu4z/v8OceydE13LAssXNh1vgEhQY5lRSuWc5229ynnYbnHH/vTdVqgoHGlAAAwhAIAwBAKAABDKAAADKEAADCEAgDA0CUVl51zJ9y7pKaLOpYFqvt5TuqZM45lwS7dTtNPuA/JfT7FuZvs+V37XKel2ykuJ1wpAAAMoQAAMIQCAMAQCgAAQygAAAyhAAAwAarq3L/Pu2JAwIVuCwDgAsrJ4Z4rBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAGEIBAGAIBQCAIRQAAIZQAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgAnOaUVVvZDtAABcBrhSAAAYQgEAYAgFAIAhFAAAhlAAABhCAQBgCAUAgCEUAACGUAAAmP8Hj2BLFki1MLEAAAAASUVORK5CYII=", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "for r_ind, _ in enumerate(renderers):\n", + " im_dim_str = str(renderer_scales[r_ind] * w)\n", + " plt.figure()\n", + " plt.title(\n", + " \"conditioned image: \\nresolution: \"\n", + " + im_dim_str\n", + " + \" x \"\n", + " + im_dim_str\n", + " + \"pixels\",\n", + " fontsize=20,\n", + " )\n", + " plt.imshow(observed_images[r_ind][..., :3])\n", + " plt.axis(\"off\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/run_ycbv_camera_tracking.ipynb b/notebooks/bayes3d_paper/run_ycbv_camera_tracking.ipynb new file mode 100644 index 00000000..4080e327 --- /dev/null +++ b/notebooks/bayes3d_paper/run_ycbv_camera_tracking.ipynb @@ -0,0 +1,375 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Scene 48\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [00:21<00:00, 2.07it/s]\n" + ] + } + ], + "source": [ + "import b3d\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose, Mesh\n", + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "from b3d.modeling_utils import uniform_pose\n", + "from genjax import Pytree\n", + "from b3d.bayes3d.enumerative_proposals import gvmf_and_select_best_move\n", + "from tqdm import tqdm\n", + "\n", + "import importlib\n", + "\n", + "scene = 48\n", + "\n", + "importlib.reload(b3d.mesh)\n", + "importlib.reload(b3d.io.data_loader)\n", + "importlib.reload(b3d.utils)\n", + "importlib.reload(b3d.renderer.renderer_original)\n", + "\n", + "FRAME_RATE = 50\n", + "\n", + "ycb_dir = os.path.join(b3d.get_assets_path(), \"bop/ycbv\")\n", + "\n", + "b3d.rr_init()\n", + "\n", + "if scene is None:\n", + " scenes = range(48, 60)\n", + "elif isinstance(scene, int):\n", + " scenes = [scene]\n", + "elif isinstance(scene, list):\n", + " scenes = scene\n", + "\n", + "scene_id = scenes[0]\n", + "\n", + "\n", + "print(f\"Scene {scene_id}\")\n", + "num_scenes = b3d.io.data_loader.get_ycbv_num_test_images(ycb_dir, scene_id)\n", + "\n", + "# image_ids = [image] if image is not None else range(1, num_scenes, FRAME_RATE)\n", + "image_ids = range(1, num_scenes + 1, FRAME_RATE)\n", + "all_data = b3d.io.get_ycbv_test_images(ycb_dir, scene_id, image_ids)\n", + "\n", + "meshes = [\n", + " Mesh.from_obj_file(\n", + " os.path.join(ycb_dir, f'models/obj_{f\"{id + 1}\".rjust(6, \"0\")}.ply')\n", + " ).scale(0.001)\n", + " for id in all_data[0][\"object_types\"]\n", + "]\n", + "\n", + "height, width = all_data[0][\"rgbd\"].shape[:2]\n", + "fx, fy, cx, cy = all_data[0][\"camera_intrinsics\"]\n", + "scaling_factor = 0.3\n", + "renderer = b3d.renderer.renderer_original.RendererOriginal(\n", + " width * scaling_factor,\n", + " height * scaling_factor,\n", + " fx * scaling_factor,\n", + " fy * scaling_factor,\n", + " cx * scaling_factor,\n", + " cy * scaling_factor,\n", + " 0.01,\n", + " 2.0,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "image/jpeg": 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", 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", + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "key = jax.random.PRNGKey(0)\n", + "b3d.rr_init()\n", + "b3d.viz_rgb(all_data[0][\"rgbd\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "import b3d.chisight.dense.likelihoods.image_likelihood\n", + "import b3d.chisight.dense.likelihoods.simple_likelihood\n", + "\n", + "intermediate_likelihood_func = (\n", + " b3d.chisight.dense.likelihoods.simple_likelihood.simple_likelihood\n", + ")\n", + "image_likelihood = (\n", + " b3d.chisight.dense.likelihoods.image_likelihood.make_image_likelihood(\n", + " intermediate_likelihood_func\n", + " )\n", + ")\n", + "\n", + "\n", + "\n", + "@genjax.gen\n", + "def dense_model(args_dict):\n", + " meshes = args_dict[\"meshes\"]\n", + " likelihood_args = args_dict[\"likelihood_args\"]\n", + " num_objects = args_dict[\"num_objects\"].const\n", + "\n", + " object_poses = []\n", + " for i in range(num_objects):\n", + " object_pose = (\n", + " uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ f\"object_pose_{i}\"\n", + " )\n", + " object_poses.append(object_pose)\n", + " all_poses = Pose.stack_poses(object_poses)\n", + "\n", + " camera_pose = (\n", + " uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ \"camera_pose\"\n", + " )\n", + "\n", + " scene_mesh = Mesh.transform_and_merge_meshes(meshes, all_poses).transform(\n", + " camera_pose.inv()\n", + " )\n", + " latent_rgbd = renderer.render_rgbd_from_mesh(scene_mesh)\n", + "\n", + " image = image_likelihood(latent_rgbd, likelihood_args) @ \"image\"\n", + "\n", + " return {\"scene_mesh\": scene_mesh, \"latent_rgbd\": latent_rgbd, \"image\": image}\n", + "\n", + "\n", + "def viz_trace(trace, t=0):\n", + " rr.set_time_sequence(\"time\", t)\n", + "\n", + " intermediate_info = intermediate_likelihood_func(\n", + " trace.get_choices()[\"image\"],\n", + " trace.get_retval()[\"latent_rgbd\"],\n", + " trace.get_args()[0][\"likelihood_args\"],\n", + " )\n", + "\n", + " rr.log(\"rgb\", rr.Image(trace.get_choices()[\"image\"][..., :3]))\n", + " rr.log(\"rgb/depth/observed\", rr.DepthImage(trace.get_choices()[\"image\"][..., 3]))\n", + " rr.log(\"rgb/depth/latent\", rr.DepthImage(trace.get_retval()[\"latent_rgbd\"][..., 3]))\n", + " rr.log(\"rgb/latent\", rr.Image(trace.get_retval()[\"latent_rgbd\"][..., :3]))\n", + " rr.log(\"rgb/is_match\", rr.DepthImage(intermediate_info[\"is_match\"] * 1.0))\n", + " rr.log(\"rgb/color_match\", rr.DepthImage(intermediate_info[\"color_match\"] * 1.0))\n", + "\n", + "\n", + "importance_jit = jax.jit(dense_model.importance)\n", + "\n", + "\n", + "likelihood_args = {\n", + " \"inlier_score\": 20.0,\n", + " \"outlier_prob\": 0.000001,\n", + " \"multiplier\": 10000.0,\n", + " \"bounds\": jnp.array([90.0, 45.0, 45.0, 0.01]),\n", + " \"fx\": renderer.fx,\n", + " \"fy\": renderer.fy,\n", + " \"far\": renderer.far,\n", + "}\n", + "\n", + "importance_jit = jax.jit(dense_model.importance)\n", + "\n", + "IDX = 0\n", + "initial_camera_pose = all_data[0][\"camera_pose\"]\n", + "initial_object_poses = all_data[0][\"object_poses\"]\n", + "\n", + "choicemap = genjax.ChoiceMap.d(\n", + " dict(\n", + " [\n", + " *[\n", + " (f\"object_pose_{i}\", initial_object_poses[i])\n", + " for i in range(len(initial_object_poses))\n", + " ],\n", + " (\"camera_pose\", initial_camera_pose),\n", + " ]\n", + " )\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 45/45 [02:23<00:00, 3.19s/it]\n" + ] + } + ], + "source": [ + "trace, _ = importance_jit(\n", + " jax.random.PRNGKey(2),\n", + " choicemap,\n", + " (\n", + " {\n", + " \"num_objects\": Pytree.const(len(initial_object_poses)),\n", + " \"meshes\": meshes,\n", + " \"likelihood_args\": likelihood_args,\n", + " },\n", + " ),\n", + ")\n", + "viz_trace(trace, 0)\n", + "trace0 = trace\n", + "\n", + "trace = trace0\n", + "tracking_results = {}\n", + "for t in tqdm(range(len(all_data))):\n", + " trace = b3d.update_choices(\n", + " trace,\n", + " jax.random.PRNGKey(0),\n", + " Pytree.const((\"image\",)),\n", + " b3d.utils.resize_image(all_data[t][\"rgbd\"], renderer.height, renderer.width),\n", + " )\n", + "\n", + " saved_trace = trace\n", + " potential_traces = []\n", + " for var in [0.03, 0.02, 0.01, 0.005, 0.03, 0.02, 0.01, 0.005]:\n", + " trace = saved_trace\n", + "\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 700.0, \"camera_pose\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 700.0, \"camera_pose\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 1000.0, \"camera_pose\", 700\n", + " )\n", + " trace, key = gvmf_and_select_best_move(\n", + " trace, key, var, 1000.0, \"camera_pose\", 700\n", + " )\n", + "\n", + " potential_traces.append(trace)\n", + " scores = jnp.array([t.get_score() for t in potential_traces])\n", + " trace = potential_traces[scores.argmax()]\n", + " tracking_results[t] = trace\n", + " viz_trace(trace, t)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "861.1914\n" + ] + } + ], + "source": [ + "t = 44\n", + "trace = tracking_results[t]\n", + "viz_trace(trace, t)\n", + "print(trace.get_score())" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-207.34692\n" + ] + } + ], + "source": [ + "gt_trace = b3d.update_choices(\n", + " trace,\n", + " jax.random.PRNGKey(0),\n", + " Pytree.const((\"camera_pose\",)),\n", + " all_data[t][\"camera_pose\"],\n", + ")\n", + "print(gt_trace.get_score())\n", + "viz_trace(gt_trace, t)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(Pose(position=Array([ 0.49567813, -0.63473916, 0.2447285 ], dtype=float32), quaternion=Array([ 0.70735586, 0.3215007 , -0.18601769, -0.6014004 ], dtype=float32)),\n", + " Pose(position=Array([ 0.50119704, -0.61778504, 0.28605604], dtype=float32), quaternion=Array([ 0.7461943 , 0.2744764 , -0.23104657, -0.56078017], dtype=float32)))" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "trace.get_choices()[\"camera_pose\"], gt_trace.get_choices()[\"camera_pose\"]" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/bayes3d_paper/run_ycbv_evaluation.py b/notebooks/bayes3d_paper/run_ycbv_evaluation.py index d2428592..b2a502b0 100644 --- a/notebooks/bayes3d_paper/run_ycbv_evaluation.py +++ b/notebooks/bayes3d_paper/run_ycbv_evaluation.py @@ -3,25 +3,20 @@ def run_tracking(scene=None, object=None, debug=False): + import importlib + import os + import b3d - import matplotlib.pyplot as plt - import jax.numpy as jnp + import genjax import jax - from b3d import Pose, Mesh + import jax.numpy as jnp import rerun as rr - import genjax - import os - import genjax - from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf - from collections import namedtuple - from genjax import Pytree - import b3d + from b3d import Mesh, Pose from b3d.bayes3d.enumerative_proposals import gvmf_and_select_best_move - from tqdm import tqdm + from b3d.modeling_utils import uniform_pose + from genjax import Pytree from IPython import embed - import fire - - import importlib + from tqdm import tqdm importlib.reload(b3d.mesh) importlib.reload(b3d.io.data_loader) diff --git a/notebooks/bayes3d_paper/visualize_tracking.py b/notebooks/bayes3d_paper/visualize_tracking.py index df796dfe..43c3cc8c 100644 --- a/notebooks/bayes3d_paper/visualize_tracking.py +++ b/notebooks/bayes3d_paper/visualize_tracking.py @@ -3,26 +3,13 @@ def make_visual(scene=None, object=None, debug=False): - import b3d - import matplotlib.pyplot as plt - import jax.numpy as jnp - import jax - from tqdm import tqdm - from b3d import Pose, Mesh - import rerun as rr - import genjax + import importlib import os - import genjax - from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf - from collections import namedtuple - from genjax import Pytree + import b3d - from b3d.bayes3d.enumerative_proposals import gvmf_and_select_best_move + import jax.numpy as jnp + from b3d import Mesh, Pose from tqdm import tqdm - from IPython import embed - import fire - - import importlib importlib.reload(b3d.mesh) importlib.reload(b3d.io.data_loader) @@ -80,8 +67,6 @@ def make_visual(scene=None, object=None, debug=False): mesh.transform(inferred_poses[t]) ) - import glob - image_id = image_ids[t] foundation_pose_results_dir = "FoundationPose_every_50_frames_gt_init" filename = os.path.join( diff --git a/notebooks/bayes3d_paper/ycbv.ipynb b/notebooks/bayes3d_paper/ycbv.ipynb index c098f467..b548b546 100644 --- a/notebooks/bayes3d_paper/ycbv.ipynb +++ b/notebooks/bayes3d_paper/ycbv.ipynb @@ -98,7 +98,7 @@ "elif type == \"ycbineaot\":\n", " videoname = \"mustard0\"\n", " ycb_dir = os.path.join(b3d.get_assets_path(), \"bop/ycbv\")\n", - " video_dir = os.path.join(b3d.get_assets_path(), f\"ycbineoat\")\n", + " video_dir = os.path.join(b3d.get_assets_path(), \"ycbineoat\")\n", " all_data = b3d.io.data_loader.get_ycbineoat_images(\n", " video_dir, videoname, range(1, 600, 6)\n", " )\n", @@ -321,16 +321,10 @@ "metadata": {}, "outputs": [], "source": [ - "import genjax\n", - "from b3d.modeling_utils import uniform_discrete, uniform_pose, gaussian_vmf\n", - "from collections import namedtuple\n", + "from b3d.modeling_utils import uniform_pose\n", "from genjax import Pytree\n", "import b3d\n", - "import matplotlib.pyplot as plt\n", - "import jax.numpy as jnp\n", - "import jax\n", - "from b3d import Pose, Mesh\n", - "import rerun as rr\n", + "from b3d import Mesh\n", "\n", "import b3d.chisight.dense.likelihoods.image_likelihood\n", "import b3d.chisight.dense.likelihoods.kray_outlier_volume\n", diff --git a/notebooks/gaussian_likelihood.ipynb b/notebooks/gaussian_likelihood.ipynb new file mode 100644 index 00000000..65dc6173 --- /dev/null +++ b/notebooks/gaussian_likelihood.ipynb @@ -0,0 +1,476 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "## L2 distance test\n", + "\n", + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def gaussian_depth_likelihood(observed_depth, rendered_depth, depth_variance):\n", + " return -jnp.power((observed_depth - rendered_depth) / depth_variance, 2)\n", + "\n", + "\n", + "def gaussian_rgb_likelihood(observed_rgb, rendered_rgb, rgb_variance):\n", + " return -jnp.power(\n", + " (b3d.colors.rgb_to_lab(observed_rgb) - b3d.colors.rgb_to_lab(rendered_rgb))\n", + " / rgb_variance,\n", + " 2,\n", + " )\n", + "\n", + "\n", + "# TODO: L2 loss on color spacee\n", + "def gaussian_likelihood(\n", + " observed_rgb,\n", + " rendered_rgb,\n", + " observed_depth,\n", + " rendered_depth,\n", + " depth_variance,\n", + " rgb_variance,\n", + "):\n", + " rgb_score = gaussian_rgb_likelihood(observed_rgb, rendered_rgb, rgb_variance).sum(\n", + " axis=2\n", + " )\n", + " depth_score = gaussian_depth_likelihood(\n", + " observed_depth, rendered_depth, depth_variance\n", + " )\n", + " return {\n", + " \"score\": rgb_score + depth_score,\n", + " \"rgb_score\": rgb_score,\n", + " \"depth_score\": depth_score,\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "likelihood = jax.vmap(gaussian_likelihood, in_axes=(None, 0, None, 0, None, None))" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vertices dimensions : [0.116984 0.09313101 0.081303 ]\n" + ] + }, + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "image_width, image_height, fx, fy, cx, cy, near, far = (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + ")\n", + "renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far)\n", + "\n", + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "vertices = jnp.array(mesh.vertices)\n", + "vertices = vertices - jnp.mean(vertices, axis=0)\n", + "faces = jnp.array(mesh.faces)\n", + "vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0])\n", + "vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0\n", + "print(\"Vertices dimensions :\", vertices.max(0) - vertices.min(0))\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0])\n", + ")\n", + "\n", + "cp_to_pose = lambda cp: Pose(\n", + " jnp.array([cp[0], cp[1], 0.0]),\n", + " b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(),\n", + ")\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_object(vertices, faces, vertex_colors)\n", + "\n", + "cps_to_test = [\n", + " jnp.array([0.0, 0.0, jnp.pi]), # Hidden\n", + " jnp.array([0.0, 0.0, -jnp.pi / 2]), # Side\n", + " jnp.array([0.0, 0.0, 0.0]), # Front\n", + " jnp.array([0.0, 0.0, +jnp.pi / 2]), # Side\n", + "]\n", + "\n", + "text_index = 0 # 1\n", + "\n", + "gt_cp = cps_to_test[text_index]\n", + "\n", + "object_pose = cp_to_pose(gt_cp)\n", + "\n", + "gt_img, gt_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "b3d.get_rgb_pil_image(gt_img)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "# delta_cps = jnp.stack(\n", + "# jnp.meshgrid(\n", + "# jnp.linspace(-0.02, 0.02, 31),\n", + "# jnp.linspace(-0.02, 0.02, 31),\n", + "# jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + "# ),\n", + "# axis=-1,\n", + "# ).reshape(-1, 3)\n", + "\n", + "delta_cps = jnp.stack(\n", + " jnp.meshgrid(\n", + " jnp.linspace(-0.1, 0.1, 30),\n", + " jnp.linspace(-0.1, 0.1, 30),\n", + " jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + " ),\n", + " axis=-1,\n", + ").reshape(-1, 3)\n", + "\n", + "cp_delta_poses = jax.vmap(cp_to_pose)(delta_cps)\n", + "\n", + "test_poses = object_pose @ cp_delta_poses\n", + "\n", + "test_poses_batches = test_poses.split(100)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "scores = []\n", + "rgb_scores = []\n", + "depth_scores = []\n", + "depth_variance, rgb_variance = 1.0, 120.0 # 0.5, 60\n", + "\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + " scores_batch = likelihood(\n", + " gt_img, rgb_ims, gt_depth, depth_ims, depth_variance, rgb_variance\n", + " )[\"score\"]\n", + " scores.append(scores_batch.sum(axis=(1, 2)))\n", + " # inlier_scores.append(scores_dict['inlier_score'])\n", + "\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(50,))" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "original_view_im, original_view_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ test_poses[jnp.argsort(scores)[::-1][2]])[None, ...], #\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "# generate inlier/outlier maps\n", + "\n", + "\n", + "pixel_scores = gaussian_likelihood(\n", + " gt_img,\n", + " original_view_im,\n", + " gt_depth,\n", + " original_view_depth,\n", + " depth_variance,\n", + " rgb_variance,\n", + ")\n", + "\n", + "fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "fig.suptitle(\"Scores - GT pose (score, rgb score, depth score)\")\n", + "ax1.imshow(pixel_scores[\"score\"])\n", + "ax2.imshow(pixel_scores[\"rgb_score\"])\n", + "ax3.imshow(pixel_scores[\"depth_score\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GT Contact Parameter : [0. 0. 3.1415927]\n", + "Sampled Angle Range: 144.0\n" + ] + } + ], + "source": [ + "samples = jax.random.categorical(key, scores, shape=(50,))\n", + "print(\"GT Contact Parameter :\", gt_cp)\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "\n", + "print(\"Sampled Angle Range:\", samples_deg_range)\n", + "pix_scores = scores" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "alternate_camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.01, 0.000, 0.9]), object_pose.pos\n", + ")\n", + "alternate_view_images, _ = renderer.render_attribute_many(\n", + " (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "original_view_images, original_view_depths = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "\n", + "pixel_scores = likelihood(\n", + " gt_img,\n", + " original_view_images,\n", + " gt_depth,\n", + " original_view_depths,\n", + " depth_variance,\n", + " rgb_variance,\n", + ")\n", + "\n", + "for t in range(len(alternate_view_images)):\n", + " rr.set_time_sequence(\"time\", t)\n", + " rr.log(f\"samples/alternate_view\", rr.Image(alternate_view_images[t]))\n", + " # rr.log(f\"samples/original_view\", rr.Image(original_view_images[t]))\n", + " # rr.log(f\"samples/overlay_mask\", rr.Image((gt_img.sum(axis=2)>0)*1.0))\n", + " rr.log(\n", + " f\"samples/original_view\",\n", + " rr.Image(\n", + " (\n", + " original_view_images[t] * 0.7\n", + " + (gt_img.sum(axis=2) > 0)[..., None] * jnp.ones(3)[None, None, :] * 0.3\n", + " )\n", + " ),\n", + " )\n", + "\n", + " pixel_im = pixel_scores[\"score\"][t]\n", + " cmap = matplotlib.colormaps[\"inferno\"]\n", + " norm = matplotlib.colors.Normalize(vmin=pixel_im.min(), vmax=pixel_im.max())\n", + " rr.log(f\"samples/heatmap\", rr.Image(cmap(norm(pixel_im))))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array([-954.1264 , -953.676 , -952.9209 , ..., -13.983586,\n", + " -13.854494, -13.4123 ], dtype=float32)" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.sort(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "## slightly offset grid and the scores will be wrong" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(52.832283, dtype=float32)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.max(b3d.colors.rgb_to_lab(original_view_images[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Array(0., dtype=float32)" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "jnp.min(b3d.colors.rgb_to_lab(original_view_images[0]))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/gmm_likelihood.ipynb b/notebooks/gmm_likelihood.ipynb new file mode 100644 index 00000000..ae8336df --- /dev/null +++ b/notebooks/gmm_likelihood.ipynb @@ -0,0 +1,733 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun as rr\n", + "import genjax\n", + "import os\n", + "import numpy as np\n", + "import jax.numpy as jnp\n", + "import jax\n", + "from b3d import Pose\n", + "import b3d\n", + "from tqdm import tqdm\n", + "import trimesh\n", + "import pytest\n", + "from PIL import Image\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "PORT = 8812\n", + "rr.init(\"233\")\n", + "rr.connect(addr=f\"127.0.0.1:{PORT}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import functools\n", + "\n", + "import jax\n", + "import jax.numpy as jnp\n", + "\n", + "\n", + "###########\n", + "@functools.partial(\n", + " jnp.vectorize,\n", + " signature=\"(m)->()\",\n", + " excluded=(\n", + " 1,\n", + " 2,\n", + " 3,\n", + " 4,\n", + " 5,\n", + " 6,\n", + " ),\n", + ")\n", + "def gausssian_mixture_vectorize_old(\n", + " ij,\n", + " observed_xyz: jnp.ndarray,\n", + " rendered_xyz_padded: jnp.ndarray,\n", + " variance,\n", + " outlier_prob: float,\n", + " outlier_volume: float,\n", + " filter_size: int,\n", + "):\n", + " distances = observed_xyz[ij[0], ij[1], :3] - jax.lax.dynamic_slice(\n", + " rendered_xyz_padded,\n", + " (ij[0], ij[1], 0),\n", + " (2 * filter_size + 1, 2 * filter_size + 1, 3),\n", + " )\n", + " probabilities = jax.scipy.stats.norm.logpdf(\n", + " distances, loc=0.0, scale=jnp.sqrt(variance)\n", + " ).sum(-1) - jnp.log(observed_xyz.shape[0] * observed_xyz.shape[1])\n", + " # return jnp.logaddexp(\n", + " # probabilities.max() + jnp.log(1.0 - outlier_prob),\n", + " # jnp.log(outlier_prob) - jnp.log(outlier_volume),\n", + " # )\n", + " return {\n", + " \"inlier_score\": probabilities.max() + jnp.log(1.0 - outlier_prob),\n", + " \"outlier_score\": jnp.log(outlier_prob) - jnp.log(outlier_volume),\n", + " }\n", + "\n", + "\n", + "def threedp3_likelihood_per_pixel_old(\n", + " observed_xyz: jnp.ndarray,\n", + " rendered_xyz: jnp.ndarray,\n", + " variance,\n", + " outlier_prob,\n", + " outlier_volume,\n", + " filter_size,\n", + "):\n", + " rendered_xyz_padded = jax.lax.pad(\n", + " rendered_xyz,\n", + " -100.0,\n", + " (\n", + " (\n", + " filter_size,\n", + " filter_size,\n", + " 0,\n", + " ),\n", + " (\n", + " filter_size,\n", + " filter_size,\n", + " 0,\n", + " ),\n", + " (\n", + " 0,\n", + " 0,\n", + " 0,\n", + " ),\n", + " ),\n", + " )\n", + " jj, ii = jnp.meshgrid(\n", + " jnp.arange(observed_xyz.shape[1]), jnp.arange(observed_xyz.shape[0])\n", + " )\n", + " indices = jnp.stack([ii, jj], axis=-1)\n", + " log_probabilities = gausssian_mixture_vectorize_old(\n", + " indices,\n", + " observed_xyz,\n", + " rendered_xyz_padded,\n", + " variance,\n", + " outlier_prob,\n", + " outlier_volume,\n", + " filter_size,\n", + " )\n", + " return log_probabilities\n", + "\n", + "\n", + "def threedp3_likelihood_old(\n", + " observed_xyz: jnp.ndarray,\n", + " rendered_xyz: jnp.ndarray,\n", + " variance,\n", + " outlier_prob,\n", + " outlier_volume,\n", + " focal_length,\n", + " filter_size,\n", + "):\n", + " log_probabilities_per_pixel = threedp3_likelihood_per_pixel_old(\n", + " observed_xyz, rendered_xyz, variance, outlier_prob, outlier_volume, filter_size\n", + " )\n", + " return log_probabilities_per_pixel # .sum()\n", + "\n", + "\n", + "def threedp3_likelihood(\n", + " observed_xyz: jnp.ndarray,\n", + " rendered_xyz: jnp.ndarray,\n", + " variance,\n", + " outlier_prob,\n", + "):\n", + " distances = jnp.linalg.norm(observed_xyz - rendered_xyz, axis=-1)\n", + " probabilities_per_pixel = (distances < variance / 2) / variance\n", + " average_probability = probabilities_per_pixel.mean()\n", + " return average_probability" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "likelihood = jax.vmap(\n", + " threedp3_likelihood_old, in_axes=(None, 0, None, None, None, None, None)\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/conda/envs/b3d2/lib/python3.12/site-packages/trimesh/grouping.py:99: RuntimeWarning: invalid value encountered in cast\n", + " stacked = np.column_stack(stacked).round().astype(np.int64)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Vertices dimensions : [0.116984 0.09313101 0.081303 ]\n" + ] + }, + { + "data": { + "image/jpeg": 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+ "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "image_width, image_height, fx, fy, cx, cy, near, far = (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + ")\n", + "renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far)\n", + "\n", + "mesh_path = os.path.join(\n", + " b3d.get_root_path(), \"assets/shared_data_bucket/025_mug/textured.obj\"\n", + ")\n", + "mesh = trimesh.load(mesh_path)\n", + "vertices = jnp.array(mesh.vertices)\n", + "vertices = vertices - jnp.mean(vertices, axis=0)\n", + "faces = jnp.array(mesh.faces)\n", + "vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0])\n", + "vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0\n", + "print(\"Vertices dimensions :\", vertices.max(0) - vertices.min(0))\n", + "\n", + "key = jax.random.PRNGKey(0)\n", + "\n", + "camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0])\n", + ")\n", + "\n", + "cp_to_pose = lambda cp: Pose(\n", + " jnp.array([cp[0], cp[1], 0.0]),\n", + " b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(),\n", + ")\n", + "object_library = b3d.MeshLibrary.make_empty_library()\n", + "object_library.add_object(vertices, faces, vertex_colors)\n", + "\n", + "cps_to_test = [\n", + " jnp.array([0.0, 0.0, jnp.pi]), # Hidden\n", + " jnp.array([0.0, 0.0, -jnp.pi / 2]), # Side\n", + " jnp.array([0.0, 0.0, 0.0]), # Front\n", + " jnp.array([0.0, 0.0, +jnp.pi / 2]), # Side\n", + "]\n", + "\n", + "text_index = 0 # 1\n", + "\n", + "gt_cp = cps_to_test[text_index]\n", + "\n", + "object_pose = cp_to_pose(gt_cp)\n", + "\n", + "gt_img, gt_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ object_pose)[None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "b3d.get_rgb_pil_image(gt_img)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "delta_cps = jnp.stack(\n", + " jnp.meshgrid(\n", + " jnp.linspace(-0.02, 0.02, 31),\n", + " jnp.linspace(-0.02, 0.02, 31),\n", + " jnp.linspace(-jnp.pi, jnp.pi, 71),\n", + " ),\n", + " axis=-1,\n", + ").reshape(-1, 3)\n", + "\n", + "\n", + "cp_delta_poses = jax.vmap(cp_to_pose)(delta_cps)\n", + "\n", + "test_poses = object_pose @ cp_delta_poses\n", + "\n", + "test_poses_batches = test_poses.split(100)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from b3d.camera import unproject_depth" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "gt_depth_image = unproject_depth(\n", + " gt_depth,\n", + " (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "scores = []\n", + "inlier_scores = []\n", + "undecided_scores = []\n", + "outlier_scores = []\n", + "\n", + "for batch in test_poses_batches:\n", + " rgb_ims, depth_ims = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ batch)[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + " )\n", + "\n", + " unproject_depth_vec = jax.vmap(unproject_depth, (0, None))\n", + " rendered_images = unproject_depth_vec(\n", + " depth_ims,\n", + " (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + " )\n", + " # 1.0 far plane is fixed, value is used for 'unexplained' pixels\n", + "\n", + " # variance,outlier_prob,outlier_volume,focal_length,filter_size,\n", + " # 0.05, 0.1, 10**3, 0.1, 3\n", + " scores_batch = likelihood(gt_depth_image, rendered_images, 0.005, 0.1, 10, 0.1, 3)\n", + " scores_frame = jnp.logaddexp(\n", + " scores_batch[\"inlier_score\"], scores_batch[\"outlier_score\"]\n", + " )\n", + " scores.append(scores_frame.sum(axis=(1, 2)))\n", + "\n", + " # modify to get inlier/outlier performance back in\n", + "\n", + " # inlier_scores.append(scores_dict['inlier_score'])\n", + " # undecided_scores.append(scores_dict['undecided_score'])\n", + " # outlier_scores.append(scores_dict['outlier_score'])\n", + "\n", + "scores = jnp.concatenate(scores)\n", + "samples = jax.random.categorical(key, scores, shape=(50,))" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(682, 100, 100)" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "scores_batch[\"inlier_score\"].shape" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(100, 100, 3)" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "gt_depth_image.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "original_view_im, original_view_depth = renderer.render_attribute(\n", + " (camera_pose.inv() @ test_poses[jnp.argsort(scores)[::-1][2]])[None, ...], #\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "# generate inlier/outlier maps\n", + "\n", + "xyz = unproject_depth(\n", + " original_view_depth,\n", + " (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + ")\n", + "pixel_scores = likelihood(gt_depth_image, xyz[None, ...], 0.005, 0.1, 10, None, 3)\n", + "\n", + "# fig, (ax1, ax2, ax3) = plt.subplots(1, 3)\n", + "# fig.suptitle('Masks (inlier, teleport outlier, nonteleport outlier)')\n", + "# ax1.imshow(pixel_scores[0])\n", + "\n", + "plt.imshow(pixel_scores[\"inlier_score\"][0])\n", + "plt.axis(\"off\")\n", + "plt.title(\"inlier heatmap\")\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(original_view_im)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "# weights_new = likelihood(gt_image, rendered_images, 0.05, 0.1, 10**3, 0.1, 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GT Contact Parameter : [0. 0. 3.1415927]\n", + "Sampled Angle Range: 334.2857\n" + ] + } + ], + "source": [ + "samples = jax.random.categorical(key, scores, shape=(50,))\n", + "print(\"GT Contact Parameter :\", gt_cp)\n", + "\n", + "samples_deg_range = jnp.rad2deg(\n", + " (jnp.max(delta_cps[samples], axis=0) - jnp.min(delta_cps[samples], axis=0))[2]\n", + ")\n", + "\n", + "print(\"Sampled Angle Range:\", samples_deg_range)\n", + "pix_scores = scores" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "alternate_camera_pose = Pose.from_position_and_target(\n", + " jnp.array([0.01, 0.000, 0.9]), object_pose.pos\n", + ")\n", + "alternate_view_images, _ = renderer.render_attribute_many(\n", + " (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "original_view_images, original_view_depths = renderer.render_attribute_many(\n", + " (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + " object_library.vertices,\n", + " object_library.faces,\n", + " object_library.ranges[jnp.array([0])],\n", + " object_library.attributes,\n", + ")\n", + "\n", + "xyzs = unproject_depth_vec(\n", + " original_view_depths,\n", + " (\n", + " 100,\n", + " 100,\n", + " 200.0,\n", + " 200.0,\n", + " 50.0,\n", + " 50.0,\n", + " 0.01,\n", + " 10.0,\n", + " ),\n", + ")\n", + "pixel_scores = likelihood(gt_depth_image, xyzs, 0.005, 0.1, 10, None, 3)\n", + "\n", + "for t in range(len(alternate_view_images)):\n", + " rr.set_time_sequence(\"time\", t)\n", + " rr.log(f\"samples/alternate_view\", rr.Image(alternate_view_images[t]))\n", + " # rr.log(f\"samples/original_view\", rr.Image(original_view_images[t]))\n", + " # rr.log(f\"samples/overlay_mask\", rr.Image((gt_img.sum(axis=2)>0)*1.0))\n", + " rr.log(\n", + " f\"samples/original_view\",\n", + " rr.Image(\n", + " (\n", + " original_view_images[t] * 0.7\n", + " + (gt_img.sum(axis=2) > 0)[..., None] * jnp.ones(3)[None, None, :] * 0.3\n", + " )\n", + " ),\n", + " )\n", + "\n", + " pixel_im = pixel_scores[\"inlier_score\"][t]\n", + " cmap = matplotlib.colormaps[\"inferno\"]\n", + " norm = matplotlib.colors.Normalize(vmin=pixel_im.min(), vmax=pixel_im.max())\n", + " rr.log(f\"samples/heatmap\", rr.Image(cmap(norm(pixel_im))))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "# b3d.make_gif_from_pil_images([b3d.overlay_image(Image.fromarray(np.array(original_view_image*255).astype(np.uint8)), Image.fromarray(np.array(gt_img*255).astype(np.uint8)))\n", + "# for original_view_image in original_view_images], 'gaussian_posterior_coarse_samples.gif'\n", + "# )" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(scores)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "# samples = jax.random.categorical(key, jnp.zeros(test_poses.shape), shape=(50,))\n", + "\n", + "# alternate_view_images, alternate_view_depths = renderer.render_attribute_many(\n", + "# (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + "# object_library.vertices,\n", + "# object_library.faces,\n", + "# object_library.ranges[jnp.array([0])],\n", + "# object_library.attributes,\n", + "# )\n", + "\n", + "# original_view_images, original_view_depths = renderer.render_attribute_many(\n", + "# (camera_pose.inv() @ test_poses[samples])[:, None, ...],\n", + "# object_library.vertices,\n", + "# object_library.faces,\n", + "# object_library.ranges[jnp.array([0])],\n", + "# object_library.attributes,\n", + "# )\n", + "\n", + "# for t in range(len(alternate_view_images)):\n", + "# rr.set_time_sequence(\"time\", t)\n", + "# rr.log(f\"random/alternate_view\", rr.Image(alternate_view_images[t]))\n", + "# rr.log(f\"random/original_view\", rr.Image(original_view_images[t]))\n", + "# # rr.log(f\"random/alternate_view_depths\", rr.DepthImage(alternate_view_depths[t]))\n", + "# # rr.log(f\"random/original_view_depths\", rr.DepthImage(original_view_depths[t]))" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [], + "source": [ + "# b3d.make_gif_from_pil_images([b3d.overlay_image(Image.fromarray(np.array(original_view_image*255).astype(np.uint8)), Image.fromarray(np.array(gt_img*255).astype(np.uint8)))\n", + "# for original_view_image in original_view_images], 'gaussian_random_coarse_samples.gif'\n", + "# )" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "b3d2", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/notebooks/integration_dense.py b/notebooks/integration_dense.py index f277ad78..12b82ace 100644 --- a/notebooks/integration_dense.py +++ b/notebooks/integration_dense.py @@ -1,24 +1,17 @@ +import importlib +import os + import b3d -from b3d.renderer.renderer_original import RendererOriginal +import b3d.chisight.particle_system as ps +import jax +import jax.numpy as jnp +from b3d import Mesh, Pose from b3d.chisight.dense.likelihoods import ( KRaysImageLikelihoodArgs, make_krays_image_observation_model, - get_rgb_depth_inliers_from_observed_rendered_args, ) -import jax -import jax.numpy as jnp -import os -from b3d import Pose, Mesh - -import b3d.chisight.particle_system as ps -import genjax +from b3d.renderer.renderer_original import RendererOriginal from genjax import Pytree -import jax -from b3d import Pose -import b3d - - -import importlib importlib.reload(ps) diff --git a/notebooks/likelihood_breaking.ipynb b/notebooks/likelihood_breaking.ipynb index 0f7ac1ab..73d21e08 100644 --- a/notebooks/likelihood_breaking.ipynb +++ b/notebooks/likelihood_breaking.ipynb @@ -339,7 +339,7 @@ " axes[0].set_xticklabels(\n", " [scanned_x_value.min(), 0.0, scanned_x_value.max()], fontsize=30\n", " )\n", - " axes[0].set_title(f\"All\", fontsize=35)\n", + " axes[0].set_title(\"All\", fontsize=35)\n", "\n", " # axes[0]([scanned_x_value.min(), 0.0, scanned_x_value.max()])\n", " axes[0].set_ylabel(\"Posterior Probability\", fontsize=30)\n", @@ -434,7 +434,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.8" } }, "nbformat": 4, diff --git a/notebooks/mkl/01 - Sparse GPS Model - Test.ipynb b/notebooks/mkl/01 - Sparse GPS Model - Test.ipynb index 0801fef4..05269f7f 100644 --- a/notebooks/mkl/01 - Sparse GPS Model - Test.ipynb +++ b/notebooks/mkl/01 - Sparse GPS Model - Test.ipynb @@ -21,8 +21,8 @@ "import jax\n", "import jax.numpy as jnp\n", "from b3d.utils import keysplit\n", - "from b3d.camera import Intrinsics, screen_from_camera\n", - "from b3d.pose import Pose, camera_from_position_and_target\n", + "from b3d.camera import Intrinsics\n", + "from b3d.pose import Pose\n", "from b3d.pose.pose_utils import uniform_pose_in_ball\n", "\n", "\n", diff --git a/notebooks/mkl/02a - Video Input from mp4.ipynb b/notebooks/mkl/02a - Video Input from mp4.ipynb index 957765ac..24848588 100644 --- a/notebooks/mkl/02a - Video Input from mp4.ipynb +++ b/notebooks/mkl/02a - Video Input from mp4.ipynb @@ -17,17 +17,14 @@ "outputs": [], "source": [ "import os\n", - "from b3d.utils import Bunch, get_shared\n", + "from b3d.utils import get_shared\n", "from b3d.io import (\n", " VideoInput,\n", " video_input_from_mp4,\n", " plot_video_summary,\n", - " load_video_to_numpy,\n", " load_video_info,\n", ")\n", - "import numpy as np\n", - "import jax.numpy as jnp\n", - "import matplotlib.pyplot as plt" + "import numpy as np" ] }, { @@ -51,7 +48,7 @@ "source": [ "path = get_shared() / \"dynamic_SfM/video_raw/pixel4a\"\n", "\n", - "print(f\"Listing files from diretory...\")\n", + "print(\"Listing files from directory...\")\n", "files = os.listdir(path)\n", "for i, f in enumerate(files):\n", " if f.endswith(\".mp4\"):\n", diff --git a/notebooks/multi_particle_visualization.py b/notebooks/multi_particle_visualization.py index fe41b6d1..89f7d700 100644 --- a/notebooks/multi_particle_visualization.py +++ b/notebooks/multi_particle_visualization.py @@ -1,16 +1,15 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np import os -import trimesh + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose +import genjax +import jax +import jax.numpy as jnp +import numpy as np # from b3d.utils import unproject_depth import rerun as rr -import genjax +import trimesh +from b3d import Pose from tqdm import tqdm rr.init("demo.py") @@ -261,7 +260,7 @@ def get_trajs(key, center_1, center_2, del_pix=5): point_cloud_colors = local_rgbs # Create new mesh. - vertices, faces, vertex_colors, face_colors = ( + vertices, faces, vertex_colors, _face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( point_cloud, point_cloud_colors, point_cloud[:, 2] / fx * 2.0 ) @@ -309,13 +308,13 @@ def get_trajs(key, center_1, center_2, del_pix=5): trace, genjax.Pytree.const(["camera_pose"]), key, all_deltas ) trace, key = b3d.enumerate_and_select_best_move( - trace, genjax.Pytree.const([f"object_pose_0"]), key, all_deltas + trace, genjax.Pytree.const(["object_pose_0"]), key, all_deltas ) - patch_center = (trace["camera_pose"].inv() @ trace[f"object_pose_0"]).apply( + patch_center = (trace["camera_pose"].inv() @ trace["object_pose_0"]).apply( jnp.mean(object_library.vertices, axis=0) ) - patch = (trace["camera_pose"].inv() @ trace[f"object_pose_0"]).apply( + patch = (trace["camera_pose"].inv() @ trace["object_pose_0"]).apply( object_library.vertices ) patches.append(patch) diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 00000000..3b3112fe --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,90 @@ +[build-system] +requires = ["setuptools>=45", "wheel", "setuptools_scm[toml]>=6.2"] +build-backend = "setuptools.build_meta" + +[project] +name = "b3d" +dynamic = ["version"] +description = "A 3D computer vision library" +readme = "README.md" +requires-python = ">=3.10" +license = {text = "Apache 2.0"} +authors = [ + {name = "Nishad Gothoskar", email = "nishadg@mit.edu"}, +] +classifiers = [ + "Development Status :: 4 - Beta", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12" +] +dependencies = [ + "genjax==0.5.0", + "rerun-sdk==0.16.1", + "tqdm==4.66.2", + "numpy==1.26.4", + "pillow==10.3.0", + "tensorflow-probability==0.23.0", + "trimesh==4.2.4", + "matplotlib==3.8.4", + "scipy==1.13.0", + "ninja==1.11.1.1", + "scikit-learn==1.4.1.post1", + "pytest==8.1.1", + "ipython==8.23.0", + "jupyter==1.0.0", + "pyransac3d==0.6.0", + "pdoc3==0.10.0", + "opencv-python==4.9.0.80", + "optax==0.2.2", + "fire==0.6.0", + "torch==2.2.2", + "torchvision==0.17.2", + "jax[cuda12]~=0.4.28", + "natsort", + "distinctipy", + "pyliblzfse", + "nvidia-cuda-nvcc-cu12==12.3.52", + "nvidia-nvjitlink-cu12==12.3.52", + "imageio", +] + +[project.scripts] +b3d_pull = "b3d.bucket_utils.b3d_pull:download_from_bucket" +b3d_push = "b3d.bucket_utils.b3d_push:upload_to_bucket" + +[tool.setuptools.package-data] +"b3d" = [ + "nvdiffrast/common/*.h", + "nvdiffrast/common/*.inl", + "nvdiffrast/common/*.cu", + "nvdiffrast/common/*.cpp", + "nvdiffrast/common/cudaraster/*.hpp", + "nvdiffrast/common/cudaraster/impl/*.cpp", + "nvdiffrast/common/cudaraster/impl/*.hpp", + "nvdiffrast/common/cudaraster/impl/*.inl", + "nvdiffrast/common/cudaraster/impl/*.cu", + "nvdiffrast/lib/*.h", + "nvdiffrast/torch/*.h", + "nvdiffrast/torch/*.inl", + "nvdiffrast/torch/*.cpp", + "nvdiffrast/tensorflow/*.cu", + "nvdiffrast/jax/*.h", + "nvdiffrast/jax/*.inl", + "nvdiffrast/jax/*.cpp", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] + +[tool.pyright] +typeCheckingMode = "standard" + +[tool.ruff.lint] +preview = true +extend-select = ["I"] +select = ["E4", "E7", "E9", "F"] +# F403 disables errors from `*` imports, which we currently use heavily. +ignore = ["F403"] +fixable = ["ALL"] +unfixable = [] diff --git a/scripts/acquire_object_model.py b/scripts/acquire_object_model.py index 3cb3454f..b9373644 100644 --- a/scripts/acquire_object_model.py +++ b/scripts/acquire_object_model.py @@ -1,119 +1,228 @@ -import jax.numpy as jnp -import os +import argparse +import time + import b3d -import rerun as rr import jax -import argparse +import jax.numpy as jnp +from b3d import Mesh, Pose +from tqdm import tqdm + +b3d.rr_init("acquire_object_model") + +# python scripts/acquire_object_model.py assets/shared_data_bucket/input_data/lysol_static.r3d + + +# ssh sam-b3d-l4.us-west1-a.probcomp-caliban -L 5000:localhost:5000 + +state = {} + + +def acquire(input_path, output_path=None): + global state + + start_time = time.time() + + if output_path is None: + output_path = input_path + ".graphics_edits.mp4" + + data = b3d.io.load_r3d(input_path) + _, _, fx, fy, cx, cy, near, far = data["camera_intrinsics_depth"] + image_height, image_width = data["depth"].shape[1:3] + num_scenes = data["depth"].shape[0] + indices = jnp.arange(0, num_scenes, 10) + camera_poses = data["camera_pose"][indices] + depths = data["depth"][indices] + rgbs = data["rgb"][indices] + + xyz = b3d.xyz_from_depth_vectorized(depths, fx, fy, cx, cy) + xyz_world_frame = camera_poses[:, None, None].apply(xyz) + + b3d.reload(b3d.utils) + # Resize rgbs to be same size as depth. + rgbs_resized = b3d.utils.clip_rgb( + b3d.utils.resize_image_linear_vmap(rgbs / 255.0, image_height, image_width) + ) -rr.init("acquire_object_model") -rr.connect("127.0.0.1:8812") - - -parser = argparse.ArgumentParser("acquire_object_mode") -parser.add_argument("input", help="Video Input File", type=str) -args = parser.parse_args() - -filename = args.input -# filename = "assets/shared_data_bucket/input_data/lysol_static.r3d.video_input.npz" -video_input = b3d.io.VideoInput.load(filename) - -import numpy as np - -image_width, image_height, fx, fy, cx, cy, near, far = np.array( - video_input.camera_intrinsics_depth -) -image_width, image_height = int(image_width), int(image_height) -fx, fy, cx, cy, near, far = ( - float(fx), - float(fy), - float(cx), - float(cy), - float(near), - float(far), -) - -indices = jnp.arange(0, video_input.xyz.shape[0], 10) - - -camera_poses = b3d.Pose(video_input.camera_positions, video_input.camera_quaternions)[ - indices -] - -xyz = video_input.xyz[indices] -xyz_world_frame = camera_poses[:, None, None].apply(xyz) - -# Resize rgbs to be same size as depth. -rgbs_resized = jnp.clip( - jax.vmap(jax.image.resize, in_axes=(0, None, None))( - video_input.rgb[indices] / 255.0, - (video_input.xyz.shape[1], video_input.xyz.shape[2], 3), - "linear", - ), - 0.0, - 1.0, -) - - -masks = [b3d.carvekit_get_foreground_mask(r) for r in rgbs_resized] -masks_concat = jnp.stack(masks, axis=0) - - -grid_center = jnp.median(camera_poses[0].apply(video_input.xyz[0][masks[0]]), axis=0) -W = 0.3 -D = 100 -grid = jnp.stack( - jnp.meshgrid( - jnp.linspace(grid_center[0] - W / 2, grid_center[0] + W / 2, D), - jnp.linspace(grid_center[1] - W / 2, grid_center[1] + W / 2, D), - jnp.linspace(grid_center[2] - W / 2, grid_center[2] + W / 2, D), - ), - axis=-1, -).reshape(-1, 3) - -occ_free_occl_, colors_per_voxel_ = ( - b3d.voxel_occupied_occluded_free_parallel_camera_depth( - camera_poses, - rgbs_resized, - xyz[..., 2] * masks_concat + (1.0 - masks_concat) * 5.0, - grid, - fx, - fy, - cx, - cy, - 6.0, - 0.005, + # Foreground segmentation + masks_concat = jnp.stack( + [b3d.carvekit_get_foreground_mask(r) for r in rgbs_resized], axis=0 ) -) -i = len(occ_free_occl_) -occ_free_occl, colors_per_voxel = occ_free_occl_[:i], colors_per_voxel_[:i] -total_occ = (occ_free_occl == 1.0).sum(0) -total_free = (occ_free_occl == -1.0).sum(0) -ratio = total_occ / (total_occ + total_free) * ((total_occ + total_free) > 1) - -grid_colors = colors_per_voxel.sum(0) / (total_occ[..., None]) -model_mask = ratio > 0.2 - -resolution = 0.0015 - -grid_points = grid[model_mask] -colors = grid_colors[model_mask] - - -meshes = b3d.mesh.transform_mesh( - jax.vmap(b3d.mesh.Mesh.cube_mesh)( - jnp.ones((grid_points.shape[0], 3)) * resolution * 2.0, colors - ), - b3d.Pose.from_translation(grid_points)[:, None], -) -full_mesh = b3d.mesh.Mesh.squeeze_mesh(meshes) -full_mesh.rr_visualize("mesh") - - -# Save the mesh -jnp.savez( - filename + ".mesh.npz", - full_mesh.vertices, - full_mesh.faces, - full_mesh.vertex_attributes, -) -# full_mesh = b3d.Mesh(*jnp.load(filename + ".mesh.npz").values()) + + grid_center = jnp.median(camera_poses[0].apply(xyz[0][masks_concat[0]]), axis=0) + W = 0.4 + D = 100 + grid = jnp.stack( + jnp.meshgrid( + jnp.linspace(grid_center[0] - W / 2, grid_center[0] + W / 2, D), + jnp.linspace(grid_center[1] - W / 2, grid_center[1] + W / 2, D), + jnp.linspace(grid_center[2] - W / 2, grid_center[2] + W / 2, D), + ), + axis=-1, + ).reshape(-1, 3) + + occ_free_occl_, colors_per_voxel_ = ( + b3d.voxel_occupied_occluded_free_parallel_camera_depth( + camera_poses, + rgbs_resized, + xyz[..., 2] * masks_concat + (1.0 - masks_concat) * 5.0, + grid, + fx, + fy, + cx, + cy, + 6.0, + 0.004, + ) + ) + i = len(occ_free_occl_) + occ_free_occl, colors_per_voxel = occ_free_occl_[:i], colors_per_voxel_[:i] + total_occ = (occ_free_occl == 1.0).sum(0) + total_free = (occ_free_occl == -1.0).sum(0) + ratio = total_occ / (total_occ + total_free) * ((total_occ + total_free) > 1) + + grid_colors = colors_per_voxel.sum(0) / (total_occ[..., None]) + model_mask = ratio > 0.1 + + grid_points = grid[model_mask] + colors = grid_colors[model_mask] + + _object_mesh = Mesh.mesh_from_xyz_colors_dimensions( + grid_points, + colors, + jnp.ones((grid_points.shape[0], 3)) * 0.002 * 2.0, + ) + object_pose = Pose.from_translation(jnp.median(_object_mesh.vertices, axis=0)) + object_mesh = _object_mesh.transform(object_pose.inv()) + object_mesh.rr_visualize("object_mesh") + + # Save the mesh + mesh_filename = input_path + ".mesh.obj" + print(f"Saving obj file to {mesh_filename}") + object_mesh.save(mesh_filename) + + # Load the mesh + renderer = state.get("renderer") + render_images = state.get("render_images") + if renderer is None or renderer.width != image_width or renderer.fx != fx: + print("Creating new renderer and render functions") + renderer = b3d.RendererOriginal( + image_width, image_height, fx, fy, cx, cy, near, far + ) + + def render_image(t): + return renderer.render_rgbd_from_mesh( + scene_mesh.transform(data["camera_pose"][t].inv()) + ) + + render_images = jax.jit(jax.vmap(render_image)) + state["renderer"] = renderer + state["render_images"] = render_images + else: + print("Reusing renderer and render functions") + + rerendered_rgbds = renderer.render_rgbd_many( + (camera_poses[:, None].inv() @ object_pose).apply(object_mesh.vertices), + object_mesh.faces, + jnp.tile(object_mesh.vertex_attributes, (len(camera_poses), 1, 1)), + ) + + # t = 0 + # mask_now = (rerendered_rgbds[t,:,:,3] == 0) + # xyz_world_frame_t = xyz_world_frame[t,:,:] + # b3d.rr_log_cloud("cloud", xyz_world_frame_t[mask_now,:]) + # b3d.rr_log_cloud("cloud2", xyz_world_frame_t[~mask_now]) + # b3d.rr_log_depth("mask", mask_now * 1.0) + # b3d.rr_log_depth("mask/depth", xyz[t,...,2]) + + # t = 50 + # camera_pose = camera_poses[t] + # mask_now = (rerendered_rgbds[t,::2,::2,3] == 0) + # xyz_1 = xyz_world_frame[t,::2,::2] + # b3d.rr_log_cloud("cloud3", xyz_1) + # b3d.rr_log_cloud("cloud2", xyz_1) + + # pixels = b3d.xyz_to_pixel_coordinates(velo[:, :3], fx, fy, cx, cy).astype(jnp.int32) + # depth_image = jnp.zeros((height, width)) + + # xyz_world_frame + + # print(xyz_0.shape) + + # for t in range(len(rerendered_rgbds)): + # b3d.rr_set_time(t) + # mask_now = (rerendered_rgbds[t,...,3] == 0) + # xyz_0 = xyz_world_frame[t][mask_now] + # b3d.rr_log_cloud("cloud", xyz_0) + # b3d.rr_log_depth("mask", mask_now * 1.0) + # b3d.rr_log_depth("mask/depth", xyz_world_frame[t][..., 2]) + + sub_indices = jnp.array([0, 5, len(camera_poses) - 15, len(camera_poses) - 5]) + mask = rerendered_rgbds[sub_indices, ..., 3] == 0.0 + + background_xyzs = xyz_world_frame[sub_indices][mask] + colors = rgbs_resized[sub_indices][mask, :] + distances_from_camera = xyz[sub_indices][..., 2][mask][..., None] / fx + + clustering = b3d.segment_point_cloud( + background_xyzs, threshold=0.03, min_points_in_cluster=10 + ) + m = clustering != -1 + background_xyzs_ = background_xyzs[m] + distances_from_camera_ = distances_from_camera[m] + colors_ = colors[m] + + background_mesh = Mesh.mesh_from_xyz_colors_dimensions( + background_xyzs_, + colors_, + jnp.ones((background_xyzs_.shape[0], 3)) * distances_from_camera_, + ) + # background_mesh.rr_visualize("background_mesh") + + object_poses = [ + object_pose, + Pose.identity(), + object_pose @ Pose.from_translation(jnp.array([-0.1, 0.0, 0.1])), + object_pose @ Pose.from_translation(jnp.array([-0.1, 0.0, -0.1])), + ] + + scene_mesh = b3d.mesh.transform_and_merge_meshes( + [object_mesh, background_mesh, object_mesh, object_mesh], + object_poses, + ) + + ss = jnp.concatenate( + [ + jnp.arange(0, len(data["camera_pose"]), 30), + jnp.array([len(data["camera_pose"]) - 1]), + ] + ) + ss = jnp.vstack([ss[:-1], ss[1:]]).T + images = jnp.concatenate([render_images(jnp.arange(s[0], s[1])) for s in ss]) + + viz_images = [] + for t in tqdm(range(len(images))): + viz_images.append(b3d.viz_rgb(images[t])) + + b3d.make_video_from_pil_images(viz_images, output_path, fps=30.0) + print(f"Saved video to {output_path}") + + # Code to be timed + + end_time = time.time() + execution_time = end_time - start_time + print(f"Execution time: {execution_time} seconds") + return output_path + + +def main(): + parser = argparse.ArgumentParser("acquire_object_mode") + parser.add_argument("input", help="r3d file", type=str) + args = parser.parse_args() + filename = args.input + run = acquire(filename) + # run = acquire(filename) + return run + + +if __name__ == "__main__": + main() diff --git a/scripts/cotracker.py b/scripts/cotracker.py index d9960bf9..684b203c 100644 --- a/scripts/cotracker.py +++ b/scripts/cotracker.py @@ -1,12 +1,11 @@ -import torch -import b3d -import os -import numpy as np import time -import argparse from pathlib import Path -from b3d.io.utils import add_argparse, path_stem + +import b3d +import numpy as np +import torch from b3d.io import FeatureTrackData +from b3d.io.utils import add_argparse, path_stem _cotracker_info = """ Source path: diff --git a/scripts/deformable_demo.py b/scripts/deformable_demo.py index 0745d447..48356c3d 100644 --- a/scripts/deformable_demo.py +++ b/scripts/deformable_demo.py @@ -1,20 +1,17 @@ -import matplotlib.pyplot as plt -import matplotlib +import os +from pathlib import Path + import jax import jax.numpy as jnp import numpy as np +import optax +import rerun as rr +from b3d.chisight.sparse.gps_utils import cov_from_dq_composition +from b3d.io import MeshData from b3d.pose import Pose from b3d.utils import keysplit -from b3d.chisight.sparse.gps_utils import cov_from_dq_composition -from typing import Any, TypeAlias -from pathlib import Path -import os from jax.scipy.spatial.transform import Rotation as Rot -import optax - -from b3d.io import MeshData from sklearn.utils import Bunch -import rerun as rr # ************************** @@ -162,7 +159,6 @@ def gps_mesh_with_A(xs, As, r=1.0, cs=None, segs=10): n = xs.shape[0] v0, f0, _ = create_sphere_mesh(segs, r=r) nv = v0.shape[0] - nf = f0.shape[0] vs = np.stack([v0 @ A.T for A in As], axis=0) fs = np.tile(f0, (n, 1, 1)) @@ -187,7 +183,6 @@ def gps_mesh(xs, r=1.0, cs=None, segs=10): n = xs.shape[0] v0, f0, _ = create_sphere_mesh(segs, r=r) nv = v0.shape[0] - nf = f0.shape[0] vs = np.tile(v0, (n, 1, 1)) fs = np.tile(f0, (n, 1, 1)) @@ -217,7 +212,7 @@ def gps_mesh(xs, r=1.0, cs=None, segs=10): input(f"Type Data directory \n(`{DEFAULT_PATH}` Default): ").strip() or DEFAULT_PATH ) files = os.listdir(path) -print(f"Listing files from diretory...") +print("Listing files from directory...") for i, f in enumerate(files): print(f"{i}:", f) @@ -305,9 +300,13 @@ def loss(xs, relative_poses, diagonal_covariances, cluster_poses): cluster_poses=cluster_poses, ) + # Setting up the optimization # NOTE: xs are baked-in here. -loss_func = lambda params: loss(xs, **params) +def loss_func(params): + return loss(xs, **params) + + grad_loss = jax.value_and_grad(loss_func) optimizer = optax.adam(1e-4) opt_state = optimizer.init(params) @@ -328,7 +327,7 @@ def step(carry, _): # ************************** # Run the Loop # ************************** -print(f"Fitting data...") +print("Fitting data...") num_runs = 20 num_runs = int( input(f"Number of training iteration loops \n({num_runs} default): ").strip() @@ -339,7 +338,7 @@ def step(carry, _): step, (params, opt_state), xs=None, length=500 ) print(f"Iteration {i+1}/{num_runs}, Average Loss: {losses.mean():,.5}") -print(f"...done!") +print("...done!") # ************************** # Visualize the result diff --git a/scripts/high_quality_object_mesh_aquisition.py b/scripts/high_quality_object_mesh_aquisition.py new file mode 100644 index 00000000..d9ece43a --- /dev/null +++ b/scripts/high_quality_object_mesh_aquisition.py @@ -0,0 +1,122 @@ +import b3d +import jax.numpy as jnp + +b3d.rr_init("high_quality") + +# python scripts/acquire_object_model.py assets/shared_data_bucket/input_data/lysol_static.r3d + + +# ssh sam-b3d-l4.us-west1-a.probcomp-caliban -L 5000:localhost:5000 + + +input_path = ( + "/home/nishadgothoskar/b3d/assets/shared_data_bucket/input_data/409_bottle.r3d" +) + + +data = b3d.io.load_r3d(input_path) +image_height, image_width = data["depth"].shape[1:3] +num_scenes = data["depth"].shape[0] +indices = jnp.arange(0, num_scenes, 10) +camera_poses = data["camera_pose"][indices] + +image_width, image_height, fx, fy, cx, cy, near, far = data["camera_intrinsics_rgb"] +image_height, image_width = int(image_height), int(image_width) + +depths = b3d.utils.resize_image_linear_vmap( + data["depth"][indices], image_height, image_width +) +rgbs = data["rgb"][indices] + +xyz = b3d.xyz_from_depth_vectorized(depths, fx, fy, cx, cy) +xyz_world_frame = camera_poses[:, None, None].apply(xyz) + + +# Take point cloud at frame 0 +point_cloud = xyz[0][::3, ::3, :].reshape(-1, 3) +point_cloud_colors = (rgbs[0] / 255.0)[::3, ::3, :].reshape(-1, 3) +assert point_cloud.shape == point_cloud_colors.shape + +background_mesh = b3d.mesh.Mesh.mesh_from_xyz_colors_dimensions( + point_cloud[:], point_cloud_colors[:], point_cloud[:, 2] / fx * 6.0 +) + + +renderer = b3d.RendererOriginal(image_width, image_height, fx, fy, cx, cy, near, far) +rgbd = renderer.render_rgbd_from_mesh(background_mesh) +b3d.rr_log_rgbd("rgbd", rgbd) + +background_mesh.save("high_resolution_background_mesh.obj") + + +start_t, end_t = 17, 50 +acquisition_indices = jnp.array(range(start_t, end_t, 3)) +print(len(acquisition_indices)) + + +masks_concat = jnp.stack( + [ + b3d.carvekit_get_foreground_mask(rgbs[index] / 255.0) + for index in acquisition_indices + ] +) + + +mask_0 = masks_concat[0] + +b3d.rr_log_rgb("rgb", rgbs[acquisition_indices[0]]) +b3d.rr_log_depth("mask", mask_0 * 1.0) + +cloud_0 = xyz_world_frame[acquisition_indices[0]][mask_0] +b3d.rr_set_time(0) +b3d.rr_log_cloud("c", cloud_0) + + +grid_center = jnp.median(cloud_0, axis=0) + +W = 0.25 +D = 150 +grid = ( + jnp.stack( + jnp.meshgrid( + jnp.linspace(-W / 2, +W / 2, D) * 0.8, + jnp.linspace(-W / 2, +W / 2, D) * 1.2, + jnp.linspace(-W / 2, +W / 2, D) * 0.8, + ), + axis=-1, + ).reshape(-1, 3) + + grid_center +) + +occ_free_occl_, colors_per_voxel_ = ( + b3d.voxel_occupied_occluded_free_parallel_camera_depth( + camera_poses[acquisition_indices], + rgbs[acquisition_indices] / 255.0, + xyz[acquisition_indices][..., 2] * masks_concat + (1.0 - masks_concat) * 5.0, + grid, + fx, + fy, + cx, + cy, + 6.0, + 0.004, + ) +) + +i = len(occ_free_occl_) +occ_free_occl, colors_per_voxel = occ_free_occl_[:i], colors_per_voxel_[:i] +total_occ = (occ_free_occl == 1.0).sum(0) +total_free = (occ_free_occl == -1.0).sum(0) +ratio = total_occ / (total_occ + total_free) * ((total_occ + total_free) > 1) + +grid_colors = colors_per_voxel.sum(0) / (total_occ[..., None]) +model_mask = ratio > 0.6 +resolution = 0.0015 + +object_mesh = b3d.mesh.Mesh.mesh_from_xyz_colors_dimensions( + grid[model_mask], + grid_colors[model_mask], + jnp.ones_like(grid)[model_mask] * resolution * 2.0, +) +object_mesh.rr_visualize("object_mesh") +object_mesh.save("high_resolution_object_mesh.obj") diff --git a/scripts/make_docs.sh b/scripts/make_docs.sh index d86a03a9..87a06784 100644 --- a/scripts/make_docs.sh +++ b/scripts/make_docs.sh @@ -1 +1 @@ -pdoc --html b3d --force +pdoc --html src/b3d --force diff --git a/scripts/r3d_to_frames_and_mask.py b/scripts/r3d_to_frames_and_mask.py index 42dd4810..a5e40e6e 100644 --- a/scripts/r3d_to_frames_and_mask.py +++ b/scripts/r3d_to_frames_and_mask.py @@ -1,17 +1,15 @@ from pathlib import Path from typing import Optional +import b3d import cv2 import fire -import imageio import jax import jax.numpy as jnp import numpy as np import trimesh from r3d_to_video_input import load_r3d_video_input -import b3d - def get_masks(rgb_imgs: jax.Array) -> jax.Array: masks = [b3d.carvekit_get_foreground_mask(img) for img in rgb_imgs] diff --git a/scripts/r3d_to_video_input.py b/scripts/r3d_to_video_input.py index c83ce8d1..86b68ffa 100644 --- a/scripts/r3d_to_video_input.py +++ b/scripts/r3d_to_video_input.py @@ -5,16 +5,13 @@ import subprocess from pathlib import Path +import b3d import cv2 import jax import jax.numpy as jnp import liblzfse # https://pypi.org/project/pyliblzfse/ -import matplotlib.pyplot as plt -import numpy as np from natsort import natsorted -import b3d - def load_depth(filepath): with open(filepath, "rb") as depth_fh: @@ -91,7 +88,6 @@ def load_r3d_video_input(r3d_path): color_paths = natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.jpg"))) depth_paths = natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.depth"))) - conf_paths = natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.conf"))) colors = jnp.array([load_color(color_paths[i]) for i in range(len(color_paths))]) depths = jnp.array([load_depth(depth_paths[i]) for i in range(len(color_paths))]) diff --git a/scripts/run_lik_test.py b/scripts/run_lik_test.py new file mode 100644 index 00000000..8e5e5d8a --- /dev/null +++ b/scripts/run_lik_test.py @@ -0,0 +1,193 @@ +import b3d +import os +import jax.numpy as jnp +import jax +from b3d import Pose +import trimesh +from b3d.bayes3d.image_likelihoods import ( + gaussian_iid_pix_likelihood_vec, + threedp3_gmm_likelihood_vec, + kray_likelihood_intermediate_vec, +) +import rerun as rr +import matplotlib + +image_width, image_height, fx, fy, cx, cy, near, far = ( + 100, + 100, + 200.0, + 200.0, + 50.0, + 50.0, + 0.01, + 10.0, +) +renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far) + +mesh_path = os.path.join( + b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" +) +mesh = trimesh.load(mesh_path) +vertices = jnp.array(mesh.vertices) + +vertices = jnp.array(mesh.vertices) +vertices = vertices - jnp.mean(vertices, axis=0) +faces = jnp.array(mesh.faces) +vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0]) +vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0 +print("Vertices dimensions :", vertices.max(0) - vertices.min(0)) + +key = jax.random.PRNGKey(0) + +camera_pose = Pose.from_position_and_target( + jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0]) +) + +cp_to_pose = lambda cp: Pose( + jnp.array([cp[0], cp[1], 0.0]), + b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(), +) +object_library = b3d.MeshLibrary.make_empty_library() +object_library.add_object(vertices, faces, vertex_colors) + +cps_to_test = [ + jnp.array([0.0, 0.0, jnp.pi]), # Hidden + jnp.array([0.0, 0.0, -jnp.pi / 2]), # Side + jnp.array([0.0, 0.0, 0.0]), # Front + jnp.array([0.0, 0.0, +jnp.pi / 2]), # Side +] + +text_index = 0 # 1 + +gt_cp = cps_to_test[text_index] + +object_pose = cp_to_pose(gt_cp) + +gt_rgb, gt_depth = renderer.render_attribute( + (camera_pose.inv() @ object_pose)[None, ...], + object_library.vertices, + object_library.faces, + object_library.ranges[jnp.array([0])], + object_library.attributes, +) +gt_depth = jnp.where(gt_depth == 0.0, jnp.ones(gt_depth.shape) * renderer.far, gt_depth) +gt_img = jnp.concatenate((gt_rgb, gt_depth[..., None]), axis=2) + +delta_cps = jnp.stack( + jnp.meshgrid( + jnp.linspace(-0.1, 0.1, 30), + jnp.linspace(-0.1, 0.1, 30), + jnp.linspace(-jnp.pi, jnp.pi, 71), + ), + axis=-1, +).reshape(-1, 3) + +# delta_cps = jnp.stack( +# jnp.meshgrid( +# jnp.linspace(-0.02, 0.02, 31), +# jnp.linspace(-0.02, 0.02, 31), +# jnp.linspace(-jnp.pi, jnp.pi, 71), +# ), +# axis=-1, +# ).reshape(-1, 3) + +cp_delta_poses = jax.vmap(cp_to_pose)(delta_cps) + +test_poses = object_pose @ cp_delta_poses + +test_poses_batches = test_poses.split(100) + +scores = [] + +# gaussian iid args +likelihood_args = {"rgb_tolerance": 120.0, "depth_tolerance": 1.0} + +# GMM args +# likelihood_args = {'variance': 0.05, +# 'outlier_prob': 0.05, +# 'outlier_volume': 10**3, +# 'filter_size': 3, +# 'intrinsics': (100,100,200.0,200.0,50.0,50.0,0.01,10.0,)} + +# ray-tracing likelihood args +# likelihood_args = {'color_tolerance': 100.0, #100 +# 'depth_tolerance': 0.005, #0.005 +# 'inlier_score': 25.0, +# 'outlier_prob': 0.01, +# 'multiplier': 10000.0, +# 'intrinsics': (100,100,200.0,200.0,50.0,50.0,0.01,10.0,)} + +for batch in test_poses_batches: + rgb_ims, depth_ims = renderer.render_attribute_many( + (camera_pose.inv() @ batch)[:, None, ...], + object_library.vertices, + object_library.faces, + object_library.ranges[jnp.array([0])], + object_library.attributes, + ) + rendered_imgs = jnp.concatenate((rgb_ims, depth_ims[..., None]), axis=3) + + scores_batch, _ = gaussian_iid_pix_likelihood_vec( + gt_img, rendered_imgs, likelihood_args + ) + # scores_batch, _ = threedp3_gmm_likelihood_vec(gt_img, rendered_imgs, likelihood_args) + # scores_batch, _ = kray_likelihood_intermediate_vec(gt_img, rendered_imgs, likelihood_args) + scores.append(scores_batch) + +scores = jnp.concatenate(scores) +print(scores) + +samples = jax.random.categorical(key, scores, shape=(50,)) +print(samples) + +alternate_camera_pose = Pose.from_position_and_target( + jnp.array([0.01, 0.000, 0.9]), object_pose.pos +) +alternate_view_images, _ = renderer.render_attribute_many( + (alternate_camera_pose.inv() @ test_poses[samples])[:, None, ...], + object_library.vertices, + object_library.faces, + object_library.ranges[jnp.array([0])], + object_library.attributes, +) + +original_view_images, original_view_depths = renderer.render_attribute_many( + (camera_pose.inv() @ test_poses[samples])[:, None, ...], + object_library.vertices, + object_library.faces, + object_library.ranges[jnp.array([0])], + object_library.attributes, +) + +rendered_imgs = jnp.concatenate( + (original_view_images, original_view_depths[..., None]), axis=3 +) + +_, pixel_scores = gaussian_iid_pix_likelihood_vec( + gt_img, rendered_imgs, likelihood_args +) +# _, pixel_scores = threedp3_gmm_likelihood_vec(gt_img, rendered_imgs, likelihood_args) +# _, pixel_scores = kray_likelihood_intermediate_vec(gt_img, rendered_imgs, likelihood_args) + + +PORT = 8812 +rr.init("233") +rr.connect(addr=f"127.0.0.1:{PORT}") + +for t in range(len(alternate_view_images)): + rr.set_time_sequence("time", t) + rr.log(f"samples/alternate_view", rr.Image(alternate_view_images[t])) + rr.log( + f"samples/original_view", + rr.Image( + ( + original_view_images[t] * 0.7 + + (gt_img.sum(axis=2) > 0)[..., None] * jnp.ones(3)[None, None, :] * 0.3 + ) + ), + ) + + pixel_im = pixel_scores["pix_score"][t] + cmap = matplotlib.colormaps["inferno"] + norm = matplotlib.colors.Normalize(vmin=pixel_im.min(), vmax=pixel_im.max()) + rr.log(f"samples/heatmap", rr.Image(cmap(norm(pixel_im)))) diff --git a/scripts/run_posterior_mode_volume_test.py b/scripts/run_posterior_mode_volume_test.py new file mode 100644 index 00000000..8a3f6161 --- /dev/null +++ b/scripts/run_posterior_mode_volume_test.py @@ -0,0 +1,186 @@ +import jax.numpy as jnp +import b3d +import os +import trimesh +import matplotlib.pyplot as plt +import jax +import numpy as np +from b3d.bayes3d.image_likelihoods import ( + gaussian_iid_pix_likelihood_vec, + threedp3_gmm_likelihood_vec, + kray_likelihood_intermediate_vec, +) + + +mesh_path = os.path.join( + b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" +) +mesh = trimesh.load(mesh_path) +mesh.vertices = mesh.vertices - mesh.vertices.mean(axis=0) + +object_library = b3d.MeshLibrary.make_empty_library() +object_library.add_trimesh(mesh) + +h, w, fx, fy, cx, cy = 50, 50, 100.0, 100.0, 25.0, 25.0 +renderers = [ + b3d.RendererOriginal( + scale * h, scale * w, scale * fx, scale * fy, scale * cx, scale * cy, 0.01, 10.0 + ) + for scale in [9] +] + +linear_pose_from_points = ( + lambda points1, points2, alpha: b3d.Pose.from_position_and_target( + jnp.array([0.0, -0.8, 0.1]), jnp.zeros(3) + ).inv() + @ b3d.Pose.from_translation((1 - alpha) * points1 + alpha * points2) +) + +point1 = jnp.array([-0.05, -0.25, 0]) +point2 = jnp.array([0.2, 1.5, 0]) + +alphas = jnp.linspace(-0.05, 1.5, 41) + +vec_fun = jax.vmap(linear_pose_from_points, (None, None, 0)) + +linear_poses = vec_fun(point1, point2, alphas) +transformed_vertices = jax.vmap( + lambda i: linear_poses[i].apply(object_library.vertices) +)(jnp.arange(len(linear_poses))) + + +def render_rgbd_many(renderer, vertices, faces, attributes): + return renderer.render_many( + vertices, faces, jnp.concatenate([attributes, vertices[..., -1:]], axis=-1) + ) + + +N = len(linear_poses) + +all_images = [ + render_rgbd_many( + r, + transformed_vertices, + object_library.faces, + jnp.tile(object_library.attributes, (N, 1, 1)), + ) + for r in [renderers[0]] +] + + +images = all_images[0] +rendered_imgs = images +gt_image = images[0] +gt_near_ind = len(alphas) // 6 +gt_far_ind = 4 * len(alphas) // 6 +gt_image = images[gt_near_ind, ..., :3] + images[gt_far_ind, ..., :3] +gt_image_depth = np.array(images[gt_near_ind, ..., 3] + images[gt_far_ind, ..., 3]) +gt_image_depth[gt_image_depth == 0] = 10.0 +gt_image_depth = jnp.array(gt_image_depth) + +observed_image = jnp.concatenate([gt_image, gt_image_depth[..., None]], axis=-1) + +# gaussian iid args +gaussian_iid_pix_likelihood_args = { + "rgb_tolerance": 50.0, + "depth_tolerance": 0.05, + "outlier_prob": 0.01, +} + +# GMM args +threedp3_gmm_likelihood_args = { + "variance": 0.5, + "outlier_prob": 0.1, + "outlier_volume": 10**3, + "filter_size": 3, + "intrinsics": ( + 100, + 100, + 200.0, + 200.0, + 50.0, + 50.0, + 0.01, + 10.0, + ), +} + +# ray-tracing likelihood args +kray_likelihood_args = { + "color_tolerance": 50.0, # 100 + "depth_tolerance": 0.01, # 0.005 + "inlier_score": 2.5, + "outlier_prob": 0.005, + "multiplier": 1.0, # 10000.0 + "intrinsics": ( + 100, + 100, + 200.0, + 200.0, + 50.0, + 50.0, + 0.01, + 10.0, + ), +} + + +gaussian_logpdfs, _ = gaussian_iid_pix_likelihood_vec( + observed_image, rendered_imgs, gaussian_iid_pix_likelihood_args +) +threedp3_logpdfs, _ = threedp3_gmm_likelihood_vec( + observed_image, rendered_imgs, threedp3_gmm_likelihood_args +) +ray_outlier_logpdfs, _ = kray_likelihood_intermediate_vec( + observed_image, rendered_imgs, kray_likelihood_args +) + + +fig, axes = plt.subplots(1, 1, figsize=(40, 7)) +distances = linear_poses.pos[:, 2] +axes.plot( + distances, + b3d.normalize_log_scores(gaussian_logpdfs), + alpha=1, + linewidth=4, + label="gaussian_pdf", +) +axes.plot( + distances, + b3d.normalize_log_scores(threedp3_logpdfs), + alpha=1, + linewidth=4, + label="3dp3_pdf", +) +axes.plot( + distances, + b3d.normalize_log_scores(ray_outlier_logpdfs), + alpha=1, + linewidth=4, + label="new_outlier_ray_pdf", +) +num_ticks = 3 + +xticks = list(np.linspace(0.35, 3.25, num_ticks)) +axes.set_xticks( + xticks + + [ + linear_poses.pos[gt_near_ind, 2], + linear_poses.pos[gt_far_ind, 2], + linear_poses.pos[0, 2], + linear_poses.pos[-1, 2], + ] +) +axes.set_xticklabels( + ["%.1f" % f for f in xticks] + ["Pose A", "Pose B", "Near", "Far"], fontsize=30 +) +axes.tick_params(axis="y", labelsize=25) +axes.set_ylim(0.0, 0.1) + +title = "Scene object posterior conditioned on two mugs" +plt.title(title, fontsize=40) +plt.legend(fontsize=30) +# alpha value: pose = (1 - alpha) * point1 + alpha * point2 +plt.xlabel("Distance from camera (meters)", fontsize=30) +plt.ylabel("Posterior Probability", fontsize=30) +plt.savefig("posterior_mode_volume.png", bbox_inches="tight") diff --git a/scripts/visualize.py b/scripts/visualize.py index 72968fdf..be546770 100644 --- a/scripts/visualize.py +++ b/scripts/visualize.py @@ -1,8 +1,7 @@ import b3d -import os -import jax.numpy as jnp -import jax import fire +import jax +import jax.numpy as jnp from b3d import Pose @@ -44,7 +43,7 @@ def visualize_video_input(path): point_cloud_for_mesh = video_input.xyz[TIME_FOR_MESH].reshape(-1, 3) colors_for_mesh = rgbs_resized[TIME_FOR_MESH].reshape(-1, 3) - _vertices, faces, vertex_colors, face_colors = ( + _vertices, faces, vertex_colors, _face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( point_cloud_for_mesh, colors_for_mesh, point_cloud_for_mesh[:, 2] / fx ) @@ -67,13 +66,13 @@ def visualize_video_input(path): for t in range(len(video_input.xyz)): rr.set_time_sequence("frame", t) rr.log( - f"/img", + "/img", rr.Points3D( video_input.xyz[t].reshape(-1, 3), colors=(rgbs_resized[t].reshape(-1, 3) * 255).astype(jnp.uint8), ), ) - rr.log(f"/rgb", rr.Image(rgbs_resized[t])) + rr.log("/rgb", rr.Image(rgbs_resized[t])) if __name__ == "__main__": diff --git a/setup.py b/setup.py deleted file mode 100755 index 399d9e3c..00000000 --- a/setup.py +++ /dev/null @@ -1,83 +0,0 @@ -# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. -# -# NVIDIA CORPORATION and its licensors retain all intellectual property -# and proprietary rights in and to this software, related documentation -# and any modifications thereto. Any use, reproduction, disclosure or -# distribution of this software and related documentation without an express -# license agreement from NVIDIA CORPORATION is strictly prohibited. - -import os -import setuptools - -setuptools.setup( - name="b3d", - version="0.0.1", - packages=setuptools.find_packages(), - package_data={ - "b3d": [ - "nvdiffrast/common/*.h", - "nvdiffrast/common/*.inl", - "nvdiffrast/common/*.cu", - "nvdiffrast/common/*.cpp", - "nvdiffrast/common/cudaraster/*.hpp", - "nvdiffrast/common/cudaraster/impl/*.cpp", - "nvdiffrast/common/cudaraster/impl/*.hpp", - "nvdiffrast/common/cudaraster/impl/*.inl", - "nvdiffrast/common/cudaraster/impl/*.cu", - "nvdiffrast/lib/*.h", - "nvdiffrast/torch/*.h", - "nvdiffrast/torch/*.inl", - "nvdiffrast/torch/*.cpp", - "nvdiffrast/tensorflow/*.cu", - "nvdiffrast/jax/*.h", - "nvdiffrast/jax/*.inl", - "nvdiffrast/jax/*.cpp", - ] - + (["lib/*.lib"] if os.name == "nt" else []) - }, - include_package_data=True, - dependency_links=[ - "https://storage.googleapis.com/jax-releases/jax_cuda_releases.html" - ], - install_requires=[ - "genjax==0.4.0", - "rerun-sdk==0.16.1", - "tqdm==4.66.2", - "numpy==1.26.4", - "pillow==10.3.0", - "tensorflow-probability==0.23.0", - "trimesh==4.2.4", - "matplotlib==3.8.4", - "scipy==1.13.0", - "ninja==1.11.1.1", - "scikit-learn==1.4.1.post1", - "pytest==8.1.1", - "ipython==8.23.0", - "jupyter==1.0.0", - "pyransac3d==0.6.0", - "pdoc3==0.10.0", - "opencv-python==4.9.0.80", - "optax==0.2.2", - "fire==0.6.0", - "torch==2.2.2", - "torchvision==0.17.2", - "jax[cuda12]==0.4.28", - "natsort", - "distinctipy", - "pyliblzfse", - "nvidia-cuda-nvcc-cu12==12.3.52", - "nvidia-nvjitlink-cu12==12.3.52", - "imageio", - ], - classifiers=[ - "Programming Language :: Python :: 3", - "Operating System :: OS Independent", - ], - entry_points={ - "console_scripts": [ - "b3d_pull = b3d.bucket_utils.b3d_pull:download_from_bucket", - "b3d_push = b3d.bucket_utils.b3d_push:upload_to_bucket", - ] - }, - python_requires=">=3.6", -) diff --git a/b3d/__init__.py b/src/b3d/__init__.py similarity index 71% rename from b3d/__init__.py rename to src/b3d/__init__.py index 1b6a0426..54cbc90c 100644 --- a/b3d/__init__.py +++ b/src/b3d/__init__.py @@ -1,13 +1,13 @@ from importlib import metadata -from .utils import * +from jax.scipy.spatial.transform import Rotation as Rot + +from . import bayes3d, camera, chisight, colors, io, pose, renderer, types, utils from .bayes3d import MeshLibrary from .mesh import Mesh -from .renderer import Renderer -from .pose import Pose, Rot -from . import camera, colors, pose, types, utils -from . import renderer, io, bayes3d, chisight +from .pose import Pose from .renderer import Renderer, RendererOriginal +from .utils import * __version__ = metadata.version("genjax") __all__ = [ @@ -15,7 +15,6 @@ "renderer", "RendererOriginal", "io", - "shared", "bayes3d", "chisight", "camera", diff --git a/b3d/bayes3d/__init__.py b/src/b3d/bayes3d/__init__.py similarity index 100% rename from b3d/bayes3d/__init__.py rename to src/b3d/bayes3d/__init__.py index 753bafb1..f0f8cdd4 100644 --- a/b3d/bayes3d/__init__.py +++ b/src/b3d/bayes3d/__init__.py @@ -1,4 +1,4 @@ -from .mesh_library import * from .enumerative_proposals import * +from .mesh_library import * from .model import * from .scene_graph import * diff --git a/b3d/bayes3d/enumerative_proposals.py b/src/b3d/bayes3d/enumerative_proposals.py similarity index 87% rename from b3d/bayes3d/enumerative_proposals.py rename to src/b3d/bayes3d/enumerative_proposals.py index 4ed19f5d..f74b079a 100644 --- a/b3d/bayes3d/enumerative_proposals.py +++ b/src/b3d/bayes3d/enumerative_proposals.py @@ -1,9 +1,9 @@ import jax import jax.numpy as jnp +from genjax import Pytree + import b3d from b3d.pose import Pose -import genjax -from genjax import Pytree def _enumerate_and_select_best_move(trace, addressses, key, all_deltas): @@ -12,7 +12,7 @@ def _enumerate_and_select_best_move(trace, addressses, key, all_deltas): for i in range(len(all_deltas)): test_poses = current_pose @ all_deltas[i] potential_scores = b3d.enumerate_choices_get_scores( - trace, jax.random.PRNGKey(0), addressses, test_poses + trace, addressses, test_poses ) current_pose = test_poses[potential_scores.argmax()] trace = b3d.update_choices(trace, key, addressses, current_pose) @@ -39,15 +39,12 @@ def _gvmf_and_select_best_move(trace, key, variance, concentration, address, num test_poses_batches = test_poses.split(10) scores = jnp.concatenate( [ - b3d.enumerate_choices_get_scores( - trace, key, Pytree.const((address,)), poses - ) + b3d.enumerate_choices_get_scores(trace, Pytree.const((address,)), poses) for poses in test_poses_batches ] ) trace = b3d.update_choices( trace, - jax.random.PRNGKey(0), Pytree.const((address,)), test_poses[scores.argmax()], ) @@ -75,13 +72,12 @@ def _gvmf_and_sample(trace, key, variance, concentration, address, number): test_poses_batches = test_poses.split(10) scores = jnp.concatenate( [ - b3d.enumerate_choices_get_scores(trace, key, Pytree.const((addr,)), poses) + b3d.enumerate_choices_get_scores(trace, Pytree.const((addr,)), poses) for poses in test_poses_batches ] ) trace = b3d.update_choices( trace, - jax.random.PRNGKey(0), Pytree.const((addr,)), test_poses[jax.random.categorical(key, scores)], ) diff --git a/src/b3d/bayes3d/image_likelihoods.py b/src/b3d/bayes3d/image_likelihoods.py new file mode 100644 index 00000000..9664ee3e --- /dev/null +++ b/src/b3d/bayes3d/image_likelihoods.py @@ -0,0 +1,283 @@ +import genjax +from genjax.generative_functions.distributions import ExactDensity +import jax.numpy as jnp +import b3d + +# from b3d import Mesh, Pos +from collections import namedtuple +from b3d.modeling_utils import uniform_discrete, uniform_pose +from b3d.camera import unproject_depth +import jax +import os +import functools + + +# returned values should bee log probs! + + +# @jax.jit +def gaussian_depth_likelihood(observed_depth, rendered_depth, depth_variance): + probabilities = jax.scipy.stats.norm.logpdf( + observed_depth, rendered_depth, depth_variance + ) + return probabilities + + +# @jax.jit +def gaussian_rgb_likelihood(observed_rgb, rendered_rgb, lab_variance): + probabilities = jax.scipy.stats.norm.logpdf( + b3d.colors.rgb_to_lab(observed_rgb), + b3d.colors.rgb_to_lab(rendered_rgb), + lab_variance, + ) + return probabilities + + +# @jax.jit +def gaussian_iid_pix_model(observed_rgbd, rendered_rgbd, likelihood_args): + rgb_variance = likelihood_args["rgb_tolerance"] + depth_variance = likelihood_args["depth_tolerance"] + outlier_prob = likelihood_args["outlier_prob"] + rgb_score = gaussian_rgb_likelihood( + observed_rgbd[..., :3], rendered_rgbd[..., :3], rgb_variance + ).sum(axis=2) + depth_score = gaussian_depth_likelihood( + observed_rgbd[..., 3], rendered_rgbd[..., 3], depth_variance + ) + probabilities = rgb_score + depth_score + + probabilities_adjusted = jnp.logaddexp( + probabilities + jnp.log(1.0 - outlier_prob), jnp.log(outlier_prob) + ) + return probabilities_adjusted.sum(), { + "pix_score": probabilities_adjusted, + "rgb_pix_score": rgb_score, + "depth_pix_score": depth_score, + } + + +gaussian_iid_pix_likelihood_vec = jax.jit( + jax.vmap(gaussian_iid_pix_model, in_axes=(None, 0, None)) +) + + +########### +@functools.partial( + jnp.vectorize, + signature="(m)->()", + excluded=( + 1, + 2, + 3, + 4, + 5, + 6, + ), +) +def gausssian_mixture_vectorize_old( + ij, + observed_xyz: jnp.ndarray, + rendered_xyz_padded: jnp.ndarray, + variance, + outlier_prob: float, + outlier_volume: float, + filter_size: int, +): + distances = observed_xyz[ij[0], ij[1], :3] - jax.lax.dynamic_slice( + rendered_xyz_padded, + (ij[0], ij[1], 0), + (2 * filter_size + 1, 2 * filter_size + 1, 3), + ) + probabilities = jax.scipy.stats.norm.logpdf( + distances, loc=0.0, scale=jnp.sqrt(variance) + ).sum(-1) - jnp.log(observed_xyz.shape[0] * observed_xyz.shape[1]) + # return jnp.logaddexp( + # probabilities.max() + jnp.log(1.0 - outlier_prob), + # jnp.log(outlier_prob) - jnp.log(outlier_volume), + # ) + inlier_score = probabilities.max() + jnp.log(1.0 - outlier_prob) + outlier_score = jnp.log(outlier_prob) - jnp.log(outlier_volume) + return { + "pix_score": jnp.logaddexp(inlier_score, outlier_score), + "inlier_score": inlier_score, + "outlier_score": outlier_score, + } + + +def threedp3_likelihood_per_pixel_old( + observed_xyz: jnp.ndarray, + rendered_xyz: jnp.ndarray, + variance, + outlier_prob, + outlier_volume, + filter_size, +): + # filter_size = 3 + rendered_xyz_padded = jax.lax.pad( + rendered_xyz, + -100.0, + ( + ( + filter_size, + filter_size, + 0, + ), + ( + filter_size, + filter_size, + 0, + ), + ( + 0, + 0, + 0, + ), + ), + ) + jj, ii = jnp.meshgrid( + jnp.arange(observed_xyz.shape[1]), jnp.arange(observed_xyz.shape[0]) + ) + indices = jnp.stack([ii, jj], axis=-1) + log_probabilities = gausssian_mixture_vectorize_old( + indices, + observed_xyz, + rendered_xyz_padded, + variance, + outlier_prob, + outlier_volume, + filter_size, + ) + return log_probabilities + + +def threedp3_gmm_likelihood(observed_rgbd, rendered_rgbd, likelihood_args): + variance = likelihood_args["variance"] + outlier_prob = likelihood_args["outlier_prob"] + outlier_volume = likelihood_args["outlier_volume"] + filter_size = 3 # likelihood_args['filter_size'] + intrinsics = likelihood_args["intrinsics"] + + observed_xyz = unproject_depth(observed_rgbd[..., 3], intrinsics) + rendered_xyz = unproject_depth(rendered_rgbd[..., 3], intrinsics) + + log_probabilities_per_pixel = threedp3_likelihood_per_pixel_old( + observed_xyz, rendered_xyz, variance, outlier_prob, outlier_volume, filter_size + ) + + return log_probabilities_per_pixel["pix_score"].sum(), log_probabilities_per_pixel + + +threedp3_gmm_likelihood_vec = jax.jit( + jax.vmap(threedp3_gmm_likelihood, in_axes=(None, 0, None)) +) + + +def get_rgb_depth_inliers_from_observed_rendered_args( + observed_rgb, + rendered_rgb, + observed_depth, + rendered_depth, + color_tolerance, + depth_tolerance, +): + observed_lab = b3d.colors.rgb_to_lab(observed_rgb) + rendered_lab = b3d.colors.rgb_to_lab(rendered_rgb) + error = jnp.linalg.norm( + observed_lab[..., 1:3] - rendered_lab[..., 1:3], axis=-1 + ) + jnp.abs(observed_lab[..., 0] - rendered_lab[..., 0]) + + valid_data_mask = rendered_rgb.sum(-1) != 0.0 + + color_inliers = (error < color_tolerance) * valid_data_mask + depth_inliers = ( + jnp.abs(observed_depth - rendered_depth) < depth_tolerance + ) * valid_data_mask + inliers = color_inliers * depth_inliers + outliers = jnp.logical_not(inliers) + teleport_outliers = ( + outliers * (observed_depth > rendered_depth) * (rendered_depth > 0.0) + ) + nonteleport_outliers = outliers * jnp.logical_not( + (observed_depth > rendered_depth) * (rendered_depth > 0.0) + ) + return ( + inliers, + color_inliers, + depth_inliers, + teleport_outliers, + nonteleport_outliers, + valid_data_mask, + ) + + +def kray_likelihood_intermediate(observed_rgbd, rendered_rgbd, likelihood_args): + ( + inliers, + color_inliers, + depth_inliers, + teleport_outliers, + nonteleport_outliers, + valid_data_mask, + ) = get_rgb_depth_inliers_from_observed_rendered_args( + observed_rgbd[..., :3], + rendered_rgbd[..., :3], + observed_rgbd[..., 3], + rendered_rgbd[..., 3], + likelihood_args["color_tolerance"], + likelihood_args["depth_tolerance"], + ) + + outliers = teleport_outliers + nonteleport_outliers + + image_width, image_height, fx, fy, cx, cy, near, far = likelihood_args["intrinsics"] + + inlier_score = likelihood_args["inlier_score"] + outlier_prob = likelihood_args["outlier_prob"] + multiplier = likelihood_args["multiplier"] + + rendered_depth = rendered_rgbd[..., 3] + observed_depth = observed_rgbd[..., 3] + observed_depth_corrected = observed_depth + (observed_depth == 0.0) * far + + rendered_areas = (rendered_depth / fx) * (rendered_depth / fy) + observed_areas = (observed_depth_corrected / fx) * (observed_depth_corrected / fy) + + A = 5 + inlier_contribution = ( + inlier_score * inliers * rendered_areas * (1 - outlier_prob) / A + ) + + teleport_factor = 0.00001 + V = 1 / 3 * jnp.power(far, 3) * image_width * image_height * 1 / (fx * fy) + # V = 0.025 + outlier_contribution_teleporation = ( + teleport_outliers * observed_areas / V * teleport_factor * outlier_prob + ) + outlier_contribution_not_teleportation = ( + nonteleport_outliers * observed_areas / V * outlier_prob + ) + + final_score_per_pix = ( + inlier_contribution + + outlier_contribution_teleporation + + outlier_contribution_not_teleportation + ) + + return jnp.log(jnp.sum(final_score_per_pix)) * multiplier, { + "inliers": inliers, + "color_inliers": color_inliers, + "depth_inliers": depth_inliers, + "outliers": outliers, + # "undecided": undecided, + "valid_data_mask": valid_data_mask, + "inlier_contribution": inlier_contribution, + "outlier_contribution": outlier_contribution_not_teleportation, + "undecided_contribution": outlier_contribution_teleporation, + "rendered_rgbd": rendered_rgbd, + "pix_score": final_score_per_pix, + } + + +kray_likelihood_intermediate_vec = jax.jit( + jax.vmap(kray_likelihood_intermediate, in_axes=(None, 0, None)) +) diff --git a/b3d/bayes3d/likelihoods.py b/src/b3d/bayes3d/likelihoods.py similarity index 88% rename from b3d/bayes3d/likelihoods.py rename to src/b3d/bayes3d/likelihoods.py index c4f109da..aa37731e 100644 --- a/b3d/bayes3d/likelihoods.py +++ b/src/b3d/bayes3d/likelihoods.py @@ -1,4 +1,6 @@ +import jax import jax.numpy as jnp + import b3d @@ -45,10 +47,15 @@ def logpdf( far, model_args, ): - inliers, color_inliers, depth_inliers, outliers, undecided, valid_data_mask = ( - PixelOutlier.get_rgb_depth_inliers_from_observed_rendered_args( - observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args - ) + ( + inliers, + _color_inliers, + _depth_inliers, + outliers, + undecided, + _valid_data_mask, + ) = PixelOutlier.get_rgb_depth_inliers_from_observed_rendered_args( + observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args ) inlier_weight = model_args.inlier_score diff --git a/b3d/bayes3d/mesh_library.py b/src/b3d/bayes3d/mesh_library.py similarity index 100% rename from b3d/bayes3d/mesh_library.py rename to src/b3d/bayes3d/mesh_library.py diff --git a/b3d/bayes3d/model.py b/src/b3d/bayes3d/model.py similarity index 92% rename from b3d/bayes3d/model.py rename to src/b3d/bayes3d/model.py index 00c7dbf8..f04724b2 100644 --- a/b3d/bayes3d/model.py +++ b/src/b3d/bayes3d/model.py @@ -1,11 +1,12 @@ +from collections import namedtuple + import genjax -from genjax.generative_functions.distributions import ExactDensity import jax.numpy as jnp -import b3d -from b3d.pose import Pose import rerun as rr -from collections import namedtuple + +import b3d from b3d.modeling_utils import uniform_discrete, uniform_pose +from b3d.pose import Pose ModelArgs = namedtuple( "ModelArgs", @@ -57,10 +58,15 @@ def sample(self, key, rendered_rgb, rendered_depth, model_args, fx, fy, far): def logpdf(self, observed, rendered_rgb, rendered_depth, model_args, fx, fy, far): observed_rgb, observed_depth = observed - inliers, color_inliers, depth_inliers, outliers, undecided, valid_data_mask = ( - get_rgb_depth_inliers_from_observed_rendered_args( - observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args - ) + ( + inliers, + _color_inliers, + _depth_inliers, + outliers, + undecided, + _valid_data_mask, + ) = get_rgb_depth_inliers_from_observed_rendered_args( + observed_rgb, rendered_rgb, observed_depth, rendered_depth, model_args ) inlier_score = model_args.inlier_score @@ -134,7 +140,7 @@ def model( def get_rendered_rgb_depth_from_trace(trace): - (observed_rgb, rendered_rgb), (observed_depth, rendered_depth) = trace.get_retval + (_observed_rgb, rendered_rgb), (_observed_depth, rendered_depth) = trace.get_retval return (rendered_rgb, rendered_depth) @@ -165,11 +171,11 @@ def rerun_visualize_trace_t(trace, t, modes=["rgb", "depth", "inliers"]): if "inliers" in modes: ( inliers, - color_inliers, - depth_inliers, + _color_inliers, + _depth_inliers, outliers, undecided, - valid_data_mask, + _valid_data_mask, ) = get_rgb_depth_inliers_from_trace(trace) rr.log("/image/overlay/inliers", rr.DepthImage(inliers * 1.0)) rr.log("/image/overlay/outliers", rr.DepthImage(outliers * 1.0)) diff --git a/b3d/bayes3d/scene_graph.py b/src/b3d/bayes3d/scene_graph.py similarity index 69% rename from b3d/bayes3d/scene_graph.py rename to src/b3d/bayes3d/scene_graph.py index 2c18475c..c04ccf36 100644 --- a/b3d/bayes3d/scene_graph.py +++ b/src/b3d/bayes3d/scene_graph.py @@ -1,5 +1,7 @@ -from b3d.pose import Pose, Rot import jax.numpy as jnp +from jax.scipy.spatial.transform import Rotation as Rot + +from b3d.pose import Pose def contact_parameters_to_pose(cp): diff --git a/b3d/bucket_utils/README.md b/src/b3d/bucket_utils/README.md similarity index 100% rename from b3d/bucket_utils/README.md rename to src/b3d/bucket_utils/README.md diff --git a/b3d/bucket_utils/b3d_pull.py b/src/b3d/bucket_utils/b3d_pull.py similarity index 99% rename from b3d/bucket_utils/b3d_pull.py rename to src/b3d/bucket_utils/b3d_pull.py index eca21857..934f4b92 100644 --- a/b3d/bucket_utils/b3d_pull.py +++ b/src/b3d/bucket_utils/b3d_pull.py @@ -1,11 +1,9 @@ # gcloud storage cp --recursive gs://hgps_data_bucket/shared . import argparse -import json import os import subprocess -import b3d -from pathlib import Path +import b3d ## Paths. GCLOUD_BUCKET_NAME = b3d.get_gcloud_bucket_ref() diff --git a/b3d/bucket_utils/b3d_push.py b/src/b3d/bucket_utils/b3d_push.py similarity index 99% rename from b3d/bucket_utils/b3d_push.py rename to src/b3d/bucket_utils/b3d_push.py index eec350c3..77864fa2 100644 --- a/b3d/bucket_utils/b3d_push.py +++ b/src/b3d/bucket_utils/b3d_push.py @@ -1,10 +1,7 @@ import argparse -import json -import os import subprocess -import b3d -from pathlib import Path +import b3d ## Paths. GCLOUD_BUCKET_NAME = b3d.get_gcloud_bucket_ref() diff --git a/b3d/bucket_utils/data_util.py b/src/b3d/bucket_utils/data_util.py similarity index 100% rename from b3d/bucket_utils/data_util.py rename to src/b3d/bucket_utils/data_util.py diff --git a/b3d/camera.py b/src/b3d/camera.py similarity index 99% rename from b3d/camera.py rename to src/b3d/camera.py index 2529f0c2..0da250c7 100644 --- a/b3d/camera.py +++ b/src/b3d/camera.py @@ -1,6 +1,8 @@ +from typing import NamedTuple, TypeAlias + import jax.numpy as jnp + from b3d.types import Array, Float, Int -from typing import NamedTuple, TypeAlias ImageShape: TypeAlias = tuple[int, ...] ScreenCoordinates: TypeAlias = Array diff --git a/b3d/chisight/sparse/__init__.py b/src/b3d/chisight/__init__.py similarity index 100% rename from b3d/chisight/sparse/__init__.py rename to src/b3d/chisight/__init__.py diff --git a/b3d/chisight/dense/__init__.py b/src/b3d/chisight/dense/__init__.py similarity index 100% rename from b3d/chisight/dense/__init__.py rename to src/b3d/chisight/dense/__init__.py diff --git a/src/b3d/chisight/dense/dense_model.py b/src/b3d/chisight/dense/dense_model.py new file mode 100644 index 00000000..ca505b08 --- /dev/null +++ b/src/b3d/chisight/dense/dense_model.py @@ -0,0 +1,140 @@ +import genjax +import jax +import jax.numpy as jnp +import rerun as rr +from genjax import Pytree + +import b3d +import b3d.chisight.dense.likelihoods.image_likelihood +from b3d import Mesh, Pose +from b3d.modeling_utils import uniform_pose + + +def make_dense_multiobject_model(renderer, likelihood_func, sample_func=None): + if sample_func is None: + + def f(key, rendered_rgbd, likelihood_args): + return rendered_rgbd + + sample_func = f + + @Pytree.dataclass + class ImageLikelihood(genjax.ExactDensity): + def sample(self, key, rendered_rgbd, likelihood_args): + return sample_func(key, rendered_rgbd, likelihood_args) + + def logpdf(self, observed_rgbd, rendered_rgbd, likelihood_args): + return likelihood_func(observed_rgbd, rendered_rgbd, likelihood_args)[ + "score" + ] + + image_likelihood = ImageLikelihood() + + @genjax.gen + def dense_multiobject_model(args_dict): + meshes = args_dict["meshes"] + likelihood_args = args_dict["likelihood_args"] + num_objects = args_dict["num_objects"] + + blur = genjax.uniform(0.0001, 100000.0) @ "blur" + likelihood_args["blur"] = blur + + all_poses = [] + for i in range(num_objects.const): + object_pose = ( + uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) + @ f"object_pose_{i}" + ) + + outlier_probability = genjax.uniform(0.0, 1.0) @ f"outlier_probability_{i}" + lightness_variance = genjax.uniform(0.0001, 1.0) @ f"lightness_variance_{i}" + color_variance = genjax.uniform(0.0001, 100.0) @ f"color_variance_{i}" + depth_variance = genjax.uniform(0.0001, 100.0) @ f"depth_variance_{i}" + + likelihood_args[f"outlier_probability_{i}"] = outlier_probability + likelihood_args[f"lightness_variance_{i}"] = lightness_variance + likelihood_args[f"color_variance_{i}"] = color_variance + likelihood_args[f"depth_variance_{i}"] = depth_variance + + all_poses.append(object_pose) + all_poses = Pose.stack_poses(all_poses) + + camera_pose = ( + uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ "camera_pose" + ) + + scene_mesh = Mesh.transform_and_merge_meshes(meshes, all_poses).transform( + camera_pose.inv() + ) + latent_rgbd = renderer.render_rgbd_from_mesh(scene_mesh) + + image = image_likelihood(latent_rgbd, likelihood_args) @ "rgbd" + return { + "likelihood_args": likelihood_args, + "scene_mesh": scene_mesh, + "latent_rgbd": latent_rgbd, + "rgbd": image, + } + + @jax.jit + def info_from_trace(trace): + return likelihood_func( + trace.get_choices()["rgbd"], + trace.get_retval()["latent_rgbd"], + trace.get_retval()["likelihood_args"], + ) + + def viz_trace(trace, t=0): + rr.set_time_sequence("time", t) + likelihood_args = trace.get_retval()["likelihood_args"] + fx, fy, cx, cy = ( + likelihood_args["fx"], + likelihood_args["fy"], + likelihood_args["cx"], + likelihood_args["cy"], + ) + + info = info_from_trace(trace) + rr.log("rgb", rr.Image(trace.get_choices()["rgbd"][..., :3])) + # rr.log("rgb/depth/observed", rr.DepthImage(trace.get_choices()["rgbd"][..., 3])) + # rr.log( + # "rgb/depth/latent", rr.DepthImage(trace.get_retval()["latent_rgbd"][..., 3]) + # ) + # rr.log("rgb/latent", rr.Image(trace.get_retval()["latent_rgbd"][..., :3])) + + # rr.log( + # "rgb/color_space/observed_color_space_d", + # rr.Image(info["observed_color_space_d"][..., :3]), + # ) + # rr.log( + # "rgb/color_space/latent_color_space_d", + # rr.Image(info["latent_color_space_d"][..., :3]), + # ) + b3d.rr_log_rgbd(trace.get_choices()["rgbd"], "rgb/observed") + b3d.rr_log_rgbd(trace.get_retval()["latent_rgbd"], "rgb/latent") + rr.log("rgb/overlay/pixelwise_score", rr.DepthImage(info["pixelwise_score"])) + + b3d.rr_log_cloud( + b3d.xyz_from_depth( + trace.get_retval()["latent_rgbd"][..., 3], + fx, + fy, + cx, + cy, + ), + "latent", + ) + b3d.rr_log_cloud( + b3d.xyz_from_depth( + trace.get_retval()["rgbd"][..., 3], + fx, + fy, + cx, + cy, + ), + "observed", + ) + # rr.log("rgb/is_match", rr.DepthImage(intermediate_info["is_match"] * 1.0)) + # rr.log("rgb/color_match", rr.DepthImage(intermediate_info["color_match"] * 1.0)) + + return dense_multiobject_model, viz_trace, info_from_trace diff --git a/b3d/chisight/dense/dense_only_patch_tracking/model.py b/src/b3d/chisight/dense/dense_only_patch_tracking/model.py similarity index 100% rename from b3d/chisight/dense/dense_only_patch_tracking/model.py rename to src/b3d/chisight/dense/dense_only_patch_tracking/model.py index 76042e55..67587bc6 100644 --- a/b3d/chisight/dense/dense_only_patch_tracking/model.py +++ b/src/b3d/chisight/dense/dense_only_patch_tracking/model.py @@ -1,12 +1,12 @@ +import b3d.chisight.dense.differentiable_renderer as rendering +import b3d.utils as utils import genjax import jax import jax.numpy as jnp +import numpy as np +import rerun as rr from b3d import Pose from b3d.modeling_utils import uniform_pose -import b3d.utils as utils -import b3d.chisight.dense.differentiable_renderer as rendering -import rerun as rr -import numpy as np def uniformpose_meshes_to_image_model__factory(likelihood): diff --git a/b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py b/src/b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py similarity index 91% rename from b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py rename to src/b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py index 911c1f4b..6dcc3010 100644 --- a/b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py +++ b/src/b3d/chisight/dense/dense_only_patch_tracking/patch_tracking.py @@ -1,20 +1,19 @@ -import jax.numpy as jnp -import jax -from b3d import Pose import b3d -import genjax -from genjax import ChoiceMapBuilder as C -import b3d.chisight.dense.differentiable_renderer as r import b3d.chisight.dense.dense_only_patch_tracking.model as m +import b3d.chisight.dense.differentiable_renderer +import b3d.chisight.dense.differentiable_renderer as r import b3d.chisight.dense.likelihoods as likelihoods +import genjax +import jax +import jax.numpy as jnp import optax - -import b3d.chisight.dense.differentiable_renderer +from b3d import Pose +from genjax import ChoiceMapBuilder as C def get_patches(centers, rgbds, X_WC, fx, fy, cx, cy): """ - Centers given as (N, 2) storing (y, x) pixel coordinates. + Centers given as (N, 2) storing (x, y) pixel coordinates. """ depths = rgbds[..., 3] xyzs_C = b3d.utils.xyz_from_depth_vectorized(depths, fx, fy, cx, cy) @@ -24,7 +23,7 @@ def get_patches(centers, rgbds, X_WC, fx, fy, cx, cy): def get_patches_from_pointcloud(centers, rgbs, xyzs_W, X_WC, fx): """ - Centers given as (N, 2) storing (y, x) pixel coordinates. + Centers given as (N, 2) storing (x, y) pixel coordinates. """ xyzs_C = X_WC.inv().apply(xyzs_W) @@ -44,15 +43,15 @@ def get_patch(center): center_x, center_y = center[0], center[1] patch_points_C = jax.lax.dynamic_slice( xyzs_C[0], - (center_x - del_pix, center_y - del_pix, 0), + (center_y - del_pix, center_x - del_pix, 0), (2 * del_pix - 1, 2 * del_pix - 1, 3), ).reshape(-1, 3) patch_rgbs = jax.lax.dynamic_slice( rgbs[0], - (center_x - del_pix, center_y - del_pix, 0), + (center_y - del_pix, center_x - del_pix, 0), (2 * del_pix - 1, 2 * del_pix - 1, 3), ).reshape(-1, 3) - patch_vertices_C, patch_faces, patch_vertex_colors, patch_face_colors = ( + patch_vertices_C, patch_faces, patch_vertex_colors, _patch_face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( patch_points_C, patch_rgbs, patch_points_C[:, 2] / fx * 2.0 ) @@ -149,11 +148,6 @@ def optimizer_kernel(st, i): updates_quat, opt_state_quat = optimizer_quat.update(-grad_quat, opt_state_quat) pos = optax.apply_updates(pos, updates_pos) quat = optax.apply_updates(quat, updates_quat) - # jax.debug.print("Weight: {x}", x=weight) - # jax.debug.print("Pos grad magnitude: {x}", x=jnp.linalg.norm(grad_pos)) - # jax.debug.print("Quat grad magnitude: {x}", x=jnp.linalg.norm(grad_quat)) - # jax.debug.print("Position change: {x}", x=jnp.linalg.norm(og_pos - pos)) - # jax.debug.print("Quaternion change: {x}", x=jnp.linalg.norm(og_quat - quat)) return (opt_state_pos, opt_state_quat, pos, quat, observed_rgbd), (pos, quat) @jax.jit diff --git a/b3d/chisight/dense/differentiable_renderer.py b/src/b3d/chisight/dense/differentiable_renderer.py similarity index 99% rename from b3d/chisight/dense/differentiable_renderer.py rename to src/b3d/chisight/dense/differentiable_renderer.py index a175d909..543ae30f 100644 --- a/b3d/chisight/dense/differentiable_renderer.py +++ b/src/b3d/chisight/dense/differentiable_renderer.py @@ -1,5 +1,6 @@ -import jax.numpy as jnp import jax +import jax.numpy as jnp + import b3d from b3d import Pose @@ -104,7 +105,7 @@ def render_to_dist_params( """ __t = jax.lax.stop_gradient(transform) __v, __f = jax.lax.stop_gradient(vertices), jax.lax.stop_gradient(faces) - uvs, _, triangle_id_image, depth_image = renderer.rasterize( + _uvs, _, triangle_id_image, _depth_image = renderer.rasterize( __t[None, ...], __v, __f, jnp.array([[0, len(__f)]]) ) vertices = transform.apply(vertices) diff --git a/b3d/chisight/dense/likelihoods/__init__.py b/src/b3d/chisight/dense/likelihoods/__init__.py similarity index 100% rename from b3d/chisight/dense/likelihoods/__init__.py rename to src/b3d/chisight/dense/likelihoods/__init__.py index 8dc12663..efb0c0c9 100644 --- a/b3d/chisight/dense/likelihoods/__init__.py +++ b/src/b3d/chisight/dense/likelihoods/__init__.py @@ -1,2 +1,2 @@ -from .other_likelihoods import * from .krays import * +from .other_likelihoods import * diff --git a/src/b3d/chisight/dense/likelihoods/blur_likelihood.py b/src/b3d/chisight/dense/likelihoods/blur_likelihood.py new file mode 100644 index 00000000..e25f4491 --- /dev/null +++ b/src/b3d/chisight/dense/likelihoods/blur_likelihood.py @@ -0,0 +1,226 @@ +import functools + +import genjax +import jax +import jax.numpy as jnp + + +def log_gaussian_kernel(size: int, sigma: float) -> jnp.ndarray: + """Creates a 2D Gaussian kernel.""" + ax = jnp.arange(-size // 2 + 1.0, size // 2 + 1.0) + xx, yy = jnp.meshgrid(ax, ax) + kernel = -(xx**2 + yy**2) / (2.0 * sigma**2) + kernel = kernel - jax.nn.logsumexp(kernel) + return kernel + + +lower_bound = jnp.array([0.0, 0.0, 0.0, 0.0]) +upper_bound = jnp.array([1.0, 1.0, 1.0, 3.0]) + +filter_size = 9 + + +@jax.jit +def blur_intermediate_sample_func(key, latent_rgbd, likelihood_args): + color_variance = likelihood_args["color_variance_0"] + depth_variance = likelihood_args["depth_variance_0"] + outlier_probability = likelihood_args["outlier_probability_0"] + + ########### + @functools.partial( + jnp.vectorize, + signature="(m),(2)->(4)", + excluded=( + 2, + 3, + 4, + ), + ) + def per_pixel( + ij, + key, + latent_rgbd_padded, + log_kernel, + filter_size, + ): + latent_rgb_padded_window = jax.lax.dynamic_slice( + latent_rgbd_padded, + (ij[0], ij[1], 0), + (2 * filter_size + 1, 2 * filter_size + 1, 4), + ) + # outliers_padded = jax.random.uniform( + # key, (2 * filter_size + 1, 2 * filter_size + 1, 4), minval=0.0, maxval=1.0 + # ) + + # no_mesh = latent_rgb_padded_window[..., 3] == 0.0 + # latent_rgb_padded_window = ( + # (1 - no_mesh)[...,None] * latent_rgb_padded_window + # + no_mesh[...,None] * outliers_padded + # ) + + index = jax.random.categorical(key, log_kernel.flatten()) + sampled_rgbd_value = latent_rgb_padded_window.reshape(-1, 4)[index] + noisy_rgbd_value = genjax.truncated_normal.sample( + key, + sampled_rgbd_value, + jnp.array([color_variance, color_variance, color_variance, depth_variance]), + 0.0, + 1.0, + ) + + is_outlier = genjax.bernoulli.sample( + key, jax.scipy.special.logit(outlier_probability) + ) + outlier_value = jax.random.uniform( + key, (4,), minval=jnp.zeros(4), maxval=jnp.ones(4) + ) + + return is_outlier * outlier_value + (1 - is_outlier) * noisy_rgbd_value + + @jax.jit + def likelihood_per_pixel(latent_rgbd: jnp.ndarray, blur): + latent_rgbd = (latent_rgbd - lower_bound) / (upper_bound - lower_bound) + + latent_rgbd_padded = jnp.pad( + latent_rgbd, + ( + (filter_size, filter_size), + (filter_size, filter_size), + (0, 0), + ), + mode="edge", + ) + jj, ii = jnp.meshgrid( + jnp.arange(latent_rgbd.shape[1]), jnp.arange(latent_rgbd.shape[0]) + ) + indices = jnp.stack([ii, jj], axis=-1) + + log_kernel = log_gaussian_kernel(2 * filter_size + 1, blur) + + keys = jax.random.split(key, (latent_rgbd.shape[0], latent_rgbd.shape[1])) + values = per_pixel( + indices, + keys, + latent_rgbd_padded, + log_kernel, + filter_size, + ) + return values * (upper_bound - lower_bound) + lower_bound + + # noisy_image = genjax.truncated_normal.sample(key, latent_rgbd, color_variance, lower_bound, upper_bound) + # return noisy_image + return likelihood_per_pixel(latent_rgbd, likelihood_args["blur"]) + + +@jax.jit +def blur_intermediate_likelihood_func(observed_rgbd, latent_rgbd, likelihood_args): + # k = likelihood_args["k"].const + color_variance = likelihood_args["color_variance_0"] + depth_variance = likelihood_args["depth_variance_0"] + outlier_probability = likelihood_args["outlier_probability_0"] + rows = likelihood_args["rows"] + cols = likelihood_args["cols"] + + ########### + @functools.partial( + jnp.vectorize, + signature="(m)->(),()", + excluded=( + 1, + 2, + 3, + 4, + ), + ) + def per_pixel( + ij, + observed_rgbd, + latent_rgbd_padded, + blur, + filter_size, + ): + log_kernel = log_gaussian_kernel(2 * filter_size + 1, blur) + + latent_rgb_padded_window = jax.lax.dynamic_slice( + latent_rgbd_padded, + (ij[0], ij[1], 0), + (2 * filter_size + 1, 2 * filter_size + 1, 4), + ) + + error = jnp.abs(latent_rgb_padded_window - observed_rgbd[ij[0], ij[1], :]) + inlier = jnp.all( + error + < jnp.array( + [color_variance, color_variance, color_variance, depth_variance] + ), + axis=-1, + ) * (latent_rgb_padded_window[..., 3] != 0.0) + scores_inlier = jnp.where(inlier, 2.0, -jnp.inf) + + # scores_inlier = genjax.truncated_normal.logpdf( + # observed_rgbd[ij[0], ij[1], :], + # latent_rgb_padded_window, + # jnp.array([color_variance, color_variance, color_variance, depth_variance]), + # 0.0 - 0.00001, + # 1.0 + 0.00001, + # ).sum(-1) + + # no_mesh = latent_rgb_padded_window[..., 3] == 0. + # outlier_probability_adjusted = (no_mesh) * 1.0 + (1 - no_mesh) * outlier_probability + + score_mixed = jax.nn.logsumexp(scores_inlier + log_kernel) + + final_score = jnp.logaddexp( + score_mixed + jnp.log(1.0 - outlier_probability), + jnp.log(outlier_probability), + ) + return score_mixed, final_score + + @jax.jit + def likelihood_per_pixel( + observed_rgbd: jnp.ndarray, latent_rgbd: jnp.ndarray, blur + ): + # observed_rgbd = (observed_rgbd - lower_bound) / (upper_bound - lower_bound) + # latent_rgbd = (latent_rgbd - lower_bound) / (upper_bound - lower_bound) + + latent_rgbd_padded = jnp.pad( + latent_rgbd, + ( + (filter_size, filter_size), + (filter_size, filter_size), + (0, 0), + ), + mode="edge", + ) + # jj, ii = jnp.meshgrid( + # jnp.arange(observed_rgbd.shape[1]), jnp.arange(observed_rgbd.shape[0]) + # ) + indices = jnp.stack([rows, cols], axis=-1) + + scores_inlier, scores_final = per_pixel( + indices, + observed_rgbd, + latent_rgbd_padded, + blur, + filter_size, + ) + return scores_inlier, scores_final + + _, scores = likelihood_per_pixel( + observed_rgbd, latent_rgbd, likelihood_args["blur"] + ) + + # score = genjax.truncated_normal.logpdf(observed_rgbd, latent_rgbd, color_variance, lower_bound, upper_bound)[...,:3].sum() + # score = (jax.nn.logsumexp(pixelwise_score) - jnp.log(pixelwise_score.size)) * k + score = scores.sum() + + pixelwise_score = jnp.zeros((observed_rgbd.shape[0], observed_rgbd.shape[1])) + pixelwise_score = pixelwise_score.at[rows, cols].set(scores) + + return { + "score": score, + "scores": scores, + "observed_color_space_d": observed_rgbd, + "latent_color_space_d": latent_rgbd, + "pixelwise_score": pixelwise_score, + } diff --git a/src/b3d/chisight/dense/likelihoods/blur_likelihood_gaussian.py b/src/b3d/chisight/dense/likelihoods/blur_likelihood_gaussian.py new file mode 100644 index 00000000..8001d3b9 --- /dev/null +++ b/src/b3d/chisight/dense/likelihoods/blur_likelihood_gaussian.py @@ -0,0 +1,211 @@ +import functools + +import genjax +import jax +import jax.numpy as jnp + + +def log_gaussian_kernel(size: int, sigma: float) -> jnp.ndarray: + """Creates a 2D Gaussian kernel.""" + ax = jnp.arange(-size // 2 + 1.0, size // 2 + 1.0) + xx, yy = jnp.meshgrid(ax, ax) + kernel = -(xx**2 + yy**2) / (2.0 * sigma**2) + kernel = kernel - jax.nn.logsumexp(kernel) + return kernel + + +lower_bound = jnp.array([0.0, 0.0, 0.0, 0.0]) +upper_bound = jnp.array([1.0, 1.0, 1.0, 3.0]) + +filter_size = 9 + + +@jax.jit +def blur_intermediate_sample_func(key, latent_rgbd, likelihood_args): + color_variance = likelihood_args["color_variance_0"] + depth_variance = likelihood_args["depth_variance_0"] + outlier_probability = likelihood_args["outlier_probability_0"] + + ########### + @functools.partial( + jnp.vectorize, + signature="(m),(2)->(4)", + excluded=( + 2, + 3, + 4, + ), + ) + def per_pixel( + ij, + key, + latent_rgbd_padded, + log_kernel, + filter_size, + ): + latent_rgb_padded_window = jax.lax.dynamic_slice( + latent_rgbd_padded, + (ij[0], ij[1], 0), + (2 * filter_size + 1, 2 * filter_size + 1, 4), + ) + # outliers_padded = jax.random.uniform( + # key, (2 * filter_size + 1, 2 * filter_size + 1, 4), minval=0.0, maxval=1.0 + # ) + + # no_mesh = latent_rgb_padded_window[..., 3] == 0.0 + # latent_rgb_padded_window = ( + # (1 - no_mesh)[...,None] * latent_rgb_padded_window + # + no_mesh[...,None] * outliers_padded + # ) + + index = jax.random.categorical(key, log_kernel.flatten()) + sampled_rgbd_value = latent_rgb_padded_window.reshape(-1, 4)[index] + noisy_rgbd_value = genjax.truncated_normal.sample( + key, + sampled_rgbd_value, + jnp.array([color_variance, color_variance, color_variance, depth_variance]), + 0.0, + 1.0, + ) + + is_outlier = genjax.bernoulli.sample( + key, jax.scipy.special.logit(outlier_probability) + ) + outlier_value = jax.random.uniform( + key, (4,), minval=jnp.zeros(4), maxval=jnp.ones(4) + ) + + return is_outlier * outlier_value + (1 - is_outlier) * noisy_rgbd_value + + @jax.jit + def likelihood_per_pixel(latent_rgbd: jnp.ndarray, blur): + latent_rgbd = (latent_rgbd - lower_bound) / (upper_bound - lower_bound) + + latent_rgbd_padded = jnp.pad( + latent_rgbd, + ( + (filter_size, filter_size), + (filter_size, filter_size), + (0, 0), + ), + mode="edge", + ) + jj, ii = jnp.meshgrid( + jnp.arange(latent_rgbd.shape[1]), jnp.arange(latent_rgbd.shape[0]) + ) + indices = jnp.stack([ii, jj], axis=-1) + + log_kernel = log_gaussian_kernel(2 * filter_size + 1, blur) + + keys = jax.random.split(key, (latent_rgbd.shape[0], latent_rgbd.shape[1])) + values = per_pixel( + indices, + keys, + latent_rgbd_padded, + log_kernel, + filter_size, + ) + return values * (upper_bound - lower_bound) + lower_bound + + # noisy_image = genjax.truncated_normal.sample(key, latent_rgbd, color_variance, lower_bound, upper_bound) + # return noisy_image + return likelihood_per_pixel(latent_rgbd, likelihood_args["blur"]) + + +@jax.jit +def blur_intermediate_likelihood_func(observed_rgbd, latent_rgbd, likelihood_args): + # k = likelihood_args["k"].const + color_variance = likelihood_args["color_variance_0"] + depth_variance = likelihood_args["depth_variance_0"] + outlier_probability = likelihood_args["outlier_probability_0"] + rows = likelihood_args["rows"] + cols = likelihood_args["cols"] + + ########### + @functools.partial( + jnp.vectorize, + signature="(m)->()", + excluded=( + 1, + 2, + 3, + 4, + ), + ) + def per_pixel( + ij, + observed_rgbd, + latent_rgbd_padded, + log_kernel, + filter_size, + ): + latent_rgb_padded_window = jax.lax.dynamic_slice( + latent_rgbd_padded, + (ij[0], ij[1], 0), + (2 * filter_size + 1, 2 * filter_size + 1, 4), + ) + + scores_inlier = genjax.truncated_normal.logpdf( + observed_rgbd[ij[0], ij[1], :], + latent_rgb_padded_window, + jnp.array([color_variance, color_variance, color_variance, depth_variance]), + 0.0, + 1.0, + ).sum(-1) + + # no_mesh = latent_rgb_padded_window[..., 3] == 0. + # outlier_probability_adjusted = (no_mesh) * 1.0 + (1 - no_mesh) * outlier_probability + + scores = jnp.logaddexp( + scores_inlier + jnp.log(1.0 - outlier_probability), + jnp.log(outlier_probability), + ) + return jax.nn.logsumexp(scores + log_kernel) + + @jax.jit + def likelihood_per_pixel( + observed_rgbd: jnp.ndarray, latent_rgbd: jnp.ndarray, blur + ): + observed_rgbd = (observed_rgbd - lower_bound) / (upper_bound - lower_bound) + latent_rgbd = (latent_rgbd - lower_bound) / (upper_bound - lower_bound) + + latent_rgbd_padded = jnp.pad( + latent_rgbd, + ( + (filter_size, filter_size), + (filter_size, filter_size), + (0, 0), + ), + mode="edge", + ) + # jj, ii = jnp.meshgrid( + # jnp.arange(observed_rgbd.shape[1]), jnp.arange(observed_rgbd.shape[0]) + # ) + indices = jnp.stack([rows, cols], axis=-1) + log_kernel = log_gaussian_kernel(2 * filter_size + 1, blur) + + log_probabilities = per_pixel( + indices, + observed_rgbd, + latent_rgbd_padded, + log_kernel, + filter_size, + ) + return log_probabilities + + scores = likelihood_per_pixel(observed_rgbd, latent_rgbd, likelihood_args["blur"]) + + # score = genjax.truncated_normal.logpdf(observed_rgbd, latent_rgbd, color_variance, lower_bound, upper_bound)[...,:3].sum() + # score = (jax.nn.logsumexp(pixelwise_score) - jnp.log(pixelwise_score.size)) * k + score = scores.sum() + + pixelwise_score = jnp.zeros((observed_rgbd.shape[0], observed_rgbd.shape[1])) + pixelwise_score = pixelwise_score.at[rows, cols].set(scores) + + return { + "score": score, + "scores": scores, + "observed_color_space_d": observed_rgbd, + "latent_color_space_d": latent_rgbd, + "pixelwise_score": pixelwise_score, + } diff --git a/b3d/chisight/sparse/dynamic_sfm.py b/src/b3d/chisight/dense/likelihoods/image_likelihood.py similarity index 100% rename from b3d/chisight/sparse/dynamic_sfm.py rename to src/b3d/chisight/dense/likelihoods/image_likelihood.py diff --git a/b3d/chisight/dense/likelihoods/kray_outlier_volume.py b/src/b3d/chisight/dense/likelihoods/kray_outlier_volume.py similarity index 93% rename from b3d/chisight/dense/likelihoods/kray_outlier_volume.py rename to src/b3d/chisight/dense/likelihoods/kray_outlier_volume.py index 0203fa18..82f43d61 100644 --- a/b3d/chisight/dense/likelihoods/kray_outlier_volume.py +++ b/src/b3d/chisight/dense/likelihoods/kray_outlier_volume.py @@ -1,14 +1,6 @@ -import genjax -from genjax.generative_functions.distributions import ExactDensity import jax.numpy as jnp -import b3d -from b3d import Mesh, Pose -from collections import namedtuple -from b3d.modeling_utils import uniform_discrete, uniform_pose -import jax -import os -from genjax import Pytree +import b3d def get_rgb_depth_inliers_from_observed_rendered_args( diff --git a/b3d/chisight/dense/likelihoods/krays.py b/src/b3d/chisight/dense/likelihoods/krays.py similarity index 91% rename from b3d/chisight/dense/likelihoods/krays.py rename to src/b3d/chisight/dense/likelihoods/krays.py index 261a53fe..925cdb03 100644 --- a/b3d/chisight/dense/likelihoods/krays.py +++ b/src/b3d/chisight/dense/likelihoods/krays.py @@ -1,15 +1,10 @@ -import genjax -from genjax.generative_functions.distributions import ExactDensity -import jax.numpy as jnp -import b3d -from b3d import Mesh, Pose from collections import namedtuple -from b3d.modeling_utils import uniform_discrete, uniform_pose -import jax -import os +import genjax +import jax.numpy as jnp from genjax import Pytree +import b3d KRaysImageLikelihoodArgs = namedtuple( "KRaysImageLikelihoodArgs", @@ -53,11 +48,11 @@ def sample(self, key, rendered_rgbd, likelihood_args): def logpdf(self, observed_rgbd, rendered_rgbd, likelihood_args): ( inliers, - color_inliers, - depth_inliers, + _color_inliers, + _depth_inliers, outliers, undecided, - valid_data_mask, + _valid_data_mask, ) = get_rgb_depth_inliers_from_observed_rendered_args( observed_rgbd[..., :3], rendered_rgbd[..., :3], diff --git a/b3d/chisight/dense/likelihoods/other_likelihoods.py b/src/b3d/chisight/dense/likelihoods/other_likelihoods.py similarity index 98% rename from b3d/chisight/dense/likelihoods/other_likelihoods.py rename to src/b3d/chisight/dense/likelihoods/other_likelihoods.py index 933c2844..39efdb00 100644 --- a/b3d/chisight/dense/likelihoods/other_likelihoods.py +++ b/src/b3d/chisight/dense/likelihoods/other_likelihoods.py @@ -2,22 +2,22 @@ This file defines several likelihoods over RGBD images. """ -import jax.numpy as jnp +import genjax import jax +import jax.numpy as jnp import jax.tree_util as jtu -import genjax -import b3d from genjax import Pytree from tensorflow_probability.substrates import jax as tfp +import b3d import b3d.modeling_utils -def normalize(l): +def normalize(probs): return jnp.where( - jnp.sum(l, axis=-1) < 1e-6, - jnp.ones_like(l) / l.shape[-1], - l / (jnp.sum(l, axis=-1)[..., None] + 1e-8), + jnp.sum(probs, axis=-1) < 1e-6, + jnp.ones_like(probs) / probs.shape[-1], + probs / (jnp.sum(probs, axis=-1)[..., None] + 1e-8), ) diff --git a/b3d/chisight/dense/likelihoods/simple_likelihood.py b/src/b3d/chisight/dense/likelihoods/simple_likelihood.py similarity index 98% rename from b3d/chisight/dense/likelihoods/simple_likelihood.py rename to src/b3d/chisight/dense/likelihoods/simple_likelihood.py index 58325d83..e889583b 100644 --- a/b3d/chisight/dense/likelihoods/simple_likelihood.py +++ b/src/b3d/chisight/dense/likelihoods/simple_likelihood.py @@ -1,5 +1,6 @@ -import jax.numpy as jnp import jax +import jax.numpy as jnp + import b3d @@ -7,7 +8,6 @@ def simple_likelihood(observed_rgbd, rendered_rgbd, likelihood_args): fx = likelihood_args["fx"] fy = likelihood_args["fy"] - far = likelihood_args["far"] rendered_rgb = rendered_rgbd[..., :3] observed_rgb = observed_rgbd[..., :3] diff --git a/b3d/chisight/particle_system.py b/src/b3d/chisight/particle_system.py similarity index 95% rename from b3d/chisight/particle_system.py rename to src/b3d/chisight/particle_system.py index 2d3491f4..9b6790fd 100644 --- a/b3d/chisight/particle_system.py +++ b/src/b3d/chisight/particle_system.py @@ -1,11 +1,10 @@ -import jax.numpy as jnp -import b3d -from b3d import Pose +import genjax import jax import jax.numpy as jnp -import genjax from genjax import gen -from b3d import Pose, Mesh + +import b3d +from b3d import Mesh, Pose from b3d.chisight.sparse.gps_utils import add_dummy_var from b3d.pose import uniform_pose_in_ball @@ -233,18 +232,17 @@ def visualize_particle_system( ): import rerun as rr - (dynamic_state, static_state) = final_state + (_dynamic_state, static_state) = final_state ( num_timesteps, # const object - num_particles, # const object + _num_particles, # const object num_clusters, # const object - relative_particle_poses_prior_params, - initial_object_poses_prior_params, - camera_pose_prior_params, + _relative_particle_poses_prior_params, + _initial_object_poses_prior_params, + _camera_pose_prior_params, ) = latent_particle_model_args - colors = b3d.distinct_colors(num_clusters.const) absolute_particle_poses = particle_dynamics_summary["absolute_particle_poses"] object_poses = particle_dynamics_summary["object_poses"] camera_pose = particle_dynamics_summary["camera_pose"] @@ -319,11 +317,11 @@ def visualize_dense_gps( ): ( num_timesteps, # const object - num_particles, # const object - num_clusters, # const object - relative_particle_poses_prior_params, - initial_object_poses_prior_params, - camera_pose_prior_params, + _num_particles, # const object + _num_clusters, # const object + _relative_particle_poses_prior_params, + _initial_object_poses_prior_params, + _camera_pose_prior_params, ) = latent_particle_model_args (meshes, _) = dense_model_args diff --git a/b3d/chisight/patch_tracking.py b/src/b3d/chisight/patch_tracking.py similarity index 95% rename from b3d/chisight/patch_tracking.py rename to src/b3d/chisight/patch_tracking.py index 8d787132..94d8e889 100644 --- a/b3d/chisight/patch_tracking.py +++ b/src/b3d/chisight/patch_tracking.py @@ -1,19 +1,20 @@ -import jax.numpy as jnp -import jax -from b3d import Pose, Mesh -import b3d import genjax -from genjax import ChoiceMapBuilder as C -import b3d.chisight.dense.differentiable_renderer as r -import b3d.chisight.dense.likelihoods as likelihoods +import jax +import jax.numpy as jnp import optax +from genjax import ChoiceMapBuilder as C +import b3d import b3d.chisight.dense.differentiable_renderer +import b3d.chisight.dense.differentiable_renderer as r +import b3d.chisight.dense.likelihoods as likelihoods +from b3d import Mesh, Pose +from b3d.chisight.particle_system import make_dense_gps_model def get_patches(centers, rgbds, pose_WC, fx, fy, cx, cy): """ - Centers given as (N, 2) storing (y, x) pixel coordinates. + Centers given as (N, 2) storing (x, y) pixel coordinates. """ depths = rgbds[..., 3] xyzs_C = b3d.utils.xyz_from_depth_vectorized(depths, fx, fy, cx, cy) @@ -23,7 +24,7 @@ def get_patches(centers, rgbds, pose_WC, fx, fy, cx, cy): def get_patches_from_pointcloud(centers, rgbs, xyzs_W, pose_WC, fx): """ - Centers given as (N, 2) storing (y, x) pixel coordinates. + Centers given as (N, 2) storing (x, y) pixel coordinates. """ xyzs_C = pose_WC.inv().apply(xyzs_W) @@ -43,15 +44,15 @@ def get_patch(center): center_x, center_y = center[0], center[1] patch_points_C = jax.lax.dynamic_slice( xyzs_C[0], - (center_x - del_pix, center_y - del_pix, 0), + (center_y - del_pix, center_x - del_pix, 0), (2 * del_pix - 1, 2 * del_pix - 1, 3), ).reshape(-1, 3) patch_rgbs = jax.lax.dynamic_slice( rgbs[0], - (center_x - del_pix, center_y - del_pix, 0), + (center_y - del_pix, center_x - del_pix, 0), (2 * del_pix - 1, 2 * del_pix - 1, 3), ).reshape(-1, 3) - patch_vertices_C, patch_faces, patch_vertex_colors, patch_face_colors = ( + patch_vertices_C, patch_faces, patch_vertex_colors, _patch_face_colors = ( b3d.make_mesh_from_point_cloud_and_resolution( patch_points_C, patch_rgbs, patch_points_C[:, 2] / fx * 2.0 ) @@ -232,6 +233,6 @@ def wrapped_likelihood(mesh: b3d.Mesh, args): obs = likelihood(weights, attributes) @ "image" return obs, {"diffrend_output": (weights, attributes)} - model = b3d.chisight.particle_system.make_dense_gps_model(wrapped_likelihood) + model = make_dense_gps_model(wrapped_likelihood) return model diff --git a/b3d/renderer/nvdiffrast/__init__.py b/src/b3d/chisight/sparse/__init__.py similarity index 100% rename from b3d/renderer/nvdiffrast/__init__.py rename to src/b3d/chisight/sparse/__init__.py diff --git a/b3d/chisight/sparse/dynamic_gps.py b/src/b3d/chisight/sparse/dynamic_gps.py similarity index 99% rename from b3d/chisight/sparse/dynamic_gps.py rename to src/b3d/chisight/sparse/dynamic_gps.py index a235c034..f770f30b 100644 --- a/b3d/chisight/sparse/dynamic_gps.py +++ b/src/b3d/chisight/sparse/dynamic_gps.py @@ -1,9 +1,11 @@ from dataclasses import dataclass -from jax.tree_util import register_pytree_node_class + +import jax import jax.numpy as jnp -from b3d.types import Array, Int +from jax.tree_util import register_pytree_node_class + from b3d.pose import Pose -import jax +from b3d.types import Array, Int @register_pytree_node_class diff --git a/src/b3d/chisight/sparse/dynamic_sfm.py b/src/b3d/chisight/sparse/dynamic_sfm.py new file mode 100644 index 00000000..e69de29b diff --git a/b3d/chisight/sparse/gps_utils.py b/src/b3d/chisight/sparse/gps_utils.py similarity index 97% rename from b3d/chisight/sparse/gps_utils.py rename to src/b3d/chisight/sparse/gps_utils.py index f30a28b3..b529bf63 100644 --- a/b3d/chisight/sparse/gps_utils.py +++ b/src/b3d/chisight/sparse/gps_utils.py @@ -1,21 +1,21 @@ -import jax -import jax.numpy as jnp +from typing import TypeAlias + import genjax import genjax.typing +import jax +import jax.numpy as jnp from genjax import ExactDensity -from b3d.utils import keysplit +from jax.scipy.spatial.transform import Rotation as Rot + from b3d.camera import ( camera_from_screen_and_depth, screen_from_camera, ) -from b3d.types import Array, Matrix, Float -from jax.scipy.spatial.transform import Rotation as Rot from b3d.pose.pose_utils import ( uniform_samples_from_disc, ) -from .dynamic_gps import DynamicGPS -from typing import TypeAlias - +from b3d.types import Array, Float, Matrix +from b3d.utils import keysplit inv = jnp.linalg.inv logsumexp = jax.scipy.special.logsumexp @@ -51,13 +51,13 @@ def gaussian_restriction_to_ray( the mean `mu` and standard deviation `sig`, such that, parameterizing they ray by $r(t) = o +t*v$, we have $$ - N( r(t) | \tilde\mu, cov) = w * N(t | \mu, \sigma) + N( r(t) | \\tilde\\mu, cov) = w * N(t | \\mu, \\sigma) $$ where $$ - w = N( r(\mu) | \tilde\mu, cov) / N(\mu, \mu, \sigma). + w = N( r(\\mu) | \\tilde\\mu, cov) / N(\\mu, \\mu, \\sigma). $$ - Note that $\mu$ is the maximum of both the nominator and denominator. + Note that $\\mu$ is the maximum of both the nominator and denominator. Also note that the first equation implies that the integral of the Gaussian along the ray is given by $w$. """ diff --git a/b3d/chisight/sparse/hgps_utils.py b/src/b3d/chisight/sparse/hgps_utils.py similarity index 100% rename from b3d/chisight/sparse/hgps_utils.py rename to src/b3d/chisight/sparse/hgps_utils.py index 5cf6d82e..596784a5 100644 --- a/b3d/chisight/sparse/hgps_utils.py +++ b/src/b3d/chisight/sparse/hgps_utils.py @@ -1,5 +1,5 @@ -from warnings import warn from functools import wraps +from warnings import warn def depreciated(msg): diff --git a/b3d/chisight/sparse/sparse_gps_model.py b/src/b3d/chisight/sparse/sparse_gps_model.py similarity index 98% rename from b3d/chisight/sparse/sparse_gps_model.py rename to src/b3d/chisight/sparse/sparse_gps_model.py index 9e8ed7b8..ddc0cd0b 100644 --- a/b3d/chisight/sparse/sparse_gps_model.py +++ b/src/b3d/chisight/sparse/sparse_gps_model.py @@ -1,10 +1,14 @@ +from typing import Any, TypeAlias + +import genjax import jax import jax.numpy as jnp -import genjax +from genjax import ChoiceMapBuilder as C + +from b3d.camera import screen_from_world from b3d.pose import Pose + from .dynamic_gps import DynamicGPS -from typing import Any, TypeAlias -from b3d.camera import screen_from_world @genjax.gen @@ -108,7 +112,6 @@ def kernel(carried_state, _): ) new_state = (t + 1, new_object_poses, new_camera_pose, static_carries) - vector_output = None return (new_state, new_state) # TODO: What arguments should be passed to the model? @@ -167,7 +170,7 @@ def sparse_gps_model(intr): static_carried_values = (object_assignments, relative_particle_poses, intr) state0 = (0, initial_object_poses, initial_camera_pose, static_carried_values) - last_state, ret = kernel.scan(n=T - 1)(state0, None) @ "chain" + _last_state, ret = kernel.scan(n=T - 1)(state0, None) @ "chain" # Combine the initial state with the chain of states object_poses = Pose( @@ -279,8 +282,6 @@ def get_dynamic_gps(tr: SparseGPSModelTrace): # ----------- # Setters # ----------- -from genjax import ChoiceMapBuilder as C -from genjax._src.core.generative.choice_map import EmptyChm def set_camera_choice(t, cam: Pose, ch=None): diff --git a/b3d/chisight/sparse/sparse_model_reality_check.py b/src/b3d/chisight/sparse/sparse_model_reality_check.py similarity index 81% rename from b3d/chisight/sparse/sparse_model_reality_check.py rename to src/b3d/chisight/sparse/sparse_model_reality_check.py index c9a230f1..972a34a8 100644 --- a/b3d/chisight/sparse/sparse_model_reality_check.py +++ b/src/b3d/chisight/sparse/sparse_model_reality_check.py @@ -1,15 +1,14 @@ -import matplotlib.pyplot as plt -import genjax import jax -import jax.numpy as jnp -from b3d.utils import keysplit -from b3d.camera import Intrinsics, screen_from_camera -from b3d.pose import Pose, camera_from_position_and_target -from b3d.pose.pose_utils import uniform_pose_in_ball -from b3d.chisight.sparse.gps_utils import add_dummy_var -from b3d.chisight.sparse.sparse_gps_model import minimal_observation_model -from b3d.chisight.sparse.sparse_gps_model import make_sparse_gps_model +from b3d.camera import Intrinsics +from b3d.chisight.sparse.gps_utils import add_dummy_var +from b3d.chisight.sparse.sparse_gps_model import ( + make_sparse_gps_model, + minimal_observation_model, +) +from b3d.pose import Pose +from b3d.pose.pose_utils import uniform_pose_in_ball +from b3d.utils import keysplit key = jax.random.PRNGKey(0) dummy_mapped_uniform_pose = add_dummy_var(uniform_pose_in_ball).vmap( diff --git a/b3d/colors.py b/src/b3d/colors.py similarity index 87% rename from b3d/colors.py rename to src/b3d/colors.py index 864862f3..dd62339e 100644 --- a/b3d/colors.py +++ b/src/b3d/colors.py @@ -1,7 +1,8 @@ +from functools import partial + import jax import jax.numpy as jnp import numpy as np -from functools import partial @partial(jnp.vectorize, signature="(k)->(k)") @@ -36,7 +37,42 @@ def rgb_to_lab(rgb): b = 200 * (xyz_f[1] - xyz_f[2]) lab = jnp.stack([L, a, b], axis=-1) - return lab + return jnp.clip( + lab, jnp.array([0, -100.0, -100.0]), jnp.array([100.0, 100.0, 100.0]) + ) + + +@partial(jnp.vectorize, signature="(k)->(k)") +def lab_to_rgb(lab): + D65 = (0.95047, 1.00000, 1.08883) # Reference white + y = (lab[..., 0] + 16.0) / 116.0 + x = lab[..., 1] / 500.0 + y + z = y - lab[..., 2] / 200.0 + + xyz = jnp.stack([x, y, z], axis=-1) + mask = xyz > 0.2068966 + xyz = jnp.where(mask, xyz**3, (xyz - 16.0 / 116.0) / 7.787) + + xyz = xyz * jnp.array(D65) + mat = jnp.array( + [ + [3.2406, -1.5372, -0.4986], + [-0.9689, 1.8758, 0.0415], + [0.0557, -0.2040, 1.0570], + ] + ) + rgb = jnp.tensordot(xyz, mat, axes=([-1], [1])) + mask = rgb > 0.0031308 + rgb = jnp.where(mask, 1.055 * (rgb ** (1.0 / 2.4)) - 0.055, 12.92 * rgb) + return jnp.clip(rgb, 0, 1) + + +def labd_to_rgbd(labd): + return jnp.concatenate([lab_to_rgb(labd[..., :3]), labd[..., 3:4]], axis=-1) + + +def rgbd_to_labd(rgbd): + return jnp.concatenate([rgb_to_lab(rgbd[..., :3]), rgbd[..., 3:4]], axis=-1) @partial(jnp.vectorize, signature="(k)->(k)") diff --git a/b3d/io/__init__.py b/src/b3d/io/__init__.py similarity index 99% rename from b3d/io/__init__.py rename to src/b3d/io/__init__.py index 14c4f50f..1674c2d4 100644 --- a/b3d/io/__init__.py +++ b/src/b3d/io/__init__.py @@ -1,8 +1,7 @@ +from .data_loader import * from .feature_track_data import FeatureTrackData from .mesh_data import MeshData -from .video_input import VideoInput from .utils import * -from .data_loader import * - +from .video_input import VideoInput __all__ = [MeshData, FeatureTrackData, VideoInput] diff --git a/b3d/io/data_loader.py b/src/b3d/io/data_loader.py similarity index 60% rename from b3d/io/data_loader.py rename to src/b3d/io/data_loader.py index c6293948..26fcf875 100644 --- a/b3d/io/data_loader.py +++ b/src/b3d/io/data_loader.py @@ -1,16 +1,21 @@ +import glob import json import os -import b3d -import jax.numpy as jnp +import subprocess +from pathlib import Path + import cv2 import imageio - +import jax import jax.numpy as jnp +import liblzfse # https://pypi.org/project/pyliblzfse/ import numpy as np +from natsort import natsorted from PIL import Image from tqdm import tqdm -from b3d import Mesh, Pose -import glob + +from b3d.mesh import Mesh +from b3d.pose import Pose YCB_MODEL_NAMES = [ "002_master_chef_can", @@ -95,7 +100,7 @@ def get_ycbv_test_images(ycb_dir, scene_id, images_indices, fields=[]): [jnp.hstack([cam_R_w2c, cam_t_w2c]), jnp.array([0, 0, 0, 1])] ) cam_pose = jnp.linalg.inv(cam_pose_w2c) - cam_pose = b3d.Pose.from_matrix( + cam_pose = Pose.from_matrix( cam_pose.at[:3, 3].set(cam_pose[:3, 3] * 1.0 / 1000.0) ) data["camera_pose"] = cam_pose @@ -123,6 +128,14 @@ def get_ycbv_test_images(ycb_dir, scene_id, images_indices, fields=[]): ) data["rgbd"] = rgbd + mask_visib_image_paths = sorted( + glob.glob(os.path.join(mask_visib_dir, f"{img_id}_*.png")) + ) + masks = jnp.stack( + [jnp.array(Image.open(p)) > 0 for p in mask_visib_image_paths] + ) + data["masks"] = masks + # get GT object model ID+poses objects_gt_data = scene_imgs_gt_data[remove_zero_pad(img_id)] gt_poses = [] @@ -141,8 +154,8 @@ def get_ycbv_test_images(ycb_dir, scene_id, images_indices, fields=[]): gt_ids.append(obj_id) data["object_types"] = jnp.array(gt_ids) - data["object_poses"] = cam_pose @ b3d.Pose.stack_poses( - [b3d.Pose.from_matrix(p) for p in jnp.array(gt_poses)] + data["object_poses"] = cam_pose @ Pose.stack_poses( + [Pose.from_matrix(p) for p in jnp.array(gt_poses)] ) all_data.append(data) @@ -150,13 +163,13 @@ def get_ycbv_test_images(ycb_dir, scene_id, images_indices, fields=[]): def get_ycb_mesh(ycb_dir, id): - return b3d.Mesh.from_obj_file( + return Mesh.from_obj_file( os.path.join(ycb_dir, f'models/obj_{f"{id + 1}".rjust(6, "0")}.ply') ).scale(0.001) def get_ycbineoat_images(ycbineaot_dir, video_name, images_indices): - id_strs = [] + import b3d.io video_dir = os.path.join(ycbineaot_dir, f"{video_name}") @@ -195,3 +208,108 @@ def get_ycbineoat_images(ycbineaot_dir, video_name, images_indices): all_data.append(data) return all_data + + +### R3D + + +def load_depth(filepath): + with open(filepath, "rb") as depth_fh: + raw_bytes = depth_fh.read() + decompressed_bytes = liblzfse.decompress(raw_bytes) + depth_img = jnp.frombuffer(decompressed_bytes, dtype=jnp.float32) + + # depth_img = depth_img.reshape((640, 480)) # For a FaceID camera 3D Video + depth_img = depth_img.reshape((256, 192)) # For a LiDAR 3D Video + + return depth_img + + +def load_color(filepath): + img = cv2.imread(filepath) + return cv2.cvtColor(img, cv2.COLOR_BGR2RGB) + + +def get_intrinsics(metadata: dict): + """Converts Record3D metadata dict into intrinsic info needed by nerfstudio + Args: + metadata: Dict containing Record3D metadata + downscale_factor: factor to scale RGB image by (usually scale factor is + set to 7.5 for record3d 1.8 or higher -- this is the factor that downscales + RGB images to lidar) + Returns: + dict with camera intrinsics keys needed by nerfstudio + """ + + # Camera intrinsics + K = jnp.array(metadata["K"]).reshape((3, 3)).T + K = K + fx = K[0, 0] + fy = K[1, 1] + + H = metadata["h"] + W = metadata["w"] + + # # TODO(akristoffersen): The metadata dict comes with principle points, + # # but caused errors in image coord indexing. Should update once that is fixed. + # cx, cy = W / 2, H / 2 + cx, cy = K[0, 2], K[1, 2] + + scaling_factor = metadata["dw"] / metadata["w"] + return ( + jnp.array([W, H, fx, fy, cx, cy, 0.01, 100.0]), + jnp.array( + [ + W * scaling_factor, + H * scaling_factor, + fx * scaling_factor, + fy * scaling_factor, + cx * scaling_factor, + cy * scaling_factor, + 0.01, + 100.0, + ] + ), + ) + + +def load_r3d(r3d_path): + r3d_path = Path(r3d_path) + subprocess.run([f"cp {r3d_path} /tmp/{r3d_path.name}.zip"], shell=True) + subprocess.run( + [f"unzip -qq -o /tmp/{r3d_path.name}.zip -d /tmp/{r3d_path.name}"], shell=True + ) + datapath = f"/tmp/{r3d_path.name}" + + f = open(os.path.join(datapath, "metadata"), "r") + metadata = json.load(f) + + intrinsics_rgb, intrinsics_depth = get_intrinsics(metadata) + + color_paths = natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.jpg"))) + depth_paths = natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.depth"))) + natsorted(glob.glob(os.path.join(datapath, "rgbd", "*.conf"))) + + rgb = jnp.array([load_color(color_paths[i]) for i in range(len(color_paths))]) + depths = jnp.array([load_depth(depth_paths[i]) for i in range(len(color_paths))]) + depths = depths.at[jnp.isnan(depths)].set(0.0) + jax.vmap(jax.image.resize, in_axes=(0, None, None))( + depths, + (rgb.shape[1], rgb.shape[2]), + "linear", + ) + + pose_data = jnp.array(metadata["poses"]) # (N, 7) + # NB: Record3D / scipy use "scalar-last" format quaternions (x y z w) + # https://fzheng.me/2017/11/12/quaternion_conventions_en/ + positions = pose_data[..., 4:] * jnp.array([1, -1, -1]) # (N, 3) + quaternions = pose_data[..., :4] * jnp.array([-1, 1, 1, -1]) # (N, 4) + _, _, _fx, _fy, _cx, _cy, _, _ = intrinsics_depth + + return { + "rgb": rgb, + "depth": depths, + "camera_pose": Pose(positions, quaternions), + "camera_intrinsics_rgb": intrinsics_rgb, + "camera_intrinsics_depth": intrinsics_depth, + } diff --git a/b3d/io/feature_track_data.py b/src/b3d/io/feature_track_data.py similarity index 98% rename from b3d/io/feature_track_data.py rename to src/b3d/io/feature_track_data.py index 6e18366e..0b8195f7 100644 --- a/b3d/io/feature_track_data.py +++ b/src/b3d/io/feature_track_data.py @@ -1,15 +1,16 @@ from dataclasses import dataclass -from b3d.types import Array, Float -import jax.numpy as jnp from typing import Optional + import jax +import jax.numpy as jnp import matplotlib.pyplot as plt import numpy as np + from b3d.camera import Intrinsics from b3d.pose import Pose +from b3d.types import Array, Float from b3d.utils import downsize_images - DESCR = """ FeatureTrackData: Timesteps: {data.uv.shape[0]} @@ -24,7 +25,7 @@ class FeatureTrackData: Feature track data class. Note: Spatial units are measured in meters. Args: - observed_keypoints_positions: (T, N, 2) Float Array + observed_keypoints_positions: (T, N, 2) Float Array; 2D points stored as [x, y] keypoint_visibility: (T, N) Boolean Array camera_intrinsics: (8,) Float Array of camera intrinsics, see `camera.py`. rgbd_images: (T, H, W, 4) Float Array @@ -403,13 +404,13 @@ def quick_plot(self, t=None, fname=None, ax=None, figsize=(3, 3), downsize=10): figsize = (figsize[0] * self.num_frames, figsize[1]) if ax is None: - fig, ax = plt.subplots(1, 1, figsize=figsize) + _fig, ax = plt.subplots(1, 1, figsize=figsize) ax.set_aspect(1) ax.axis("off") rgb = downsize_images(self.rgb, downsize) if t is None: - h, w = self.rgb.shape[1:3] + _h, w = self.rgb.shape[1:3] ax.imshow(np.concatenate(rgb / 255, axis=1)) ax.scatter( *np.concatenate( diff --git a/b3d/io/mesh_data.py b/src/b3d/io/mesh_data.py similarity index 99% rename from b3d/io/mesh_data.py rename to src/b3d/io/mesh_data.py index 6b312cd6..612344f3 100644 --- a/b3d/io/mesh_data.py +++ b/src/b3d/io/mesh_data.py @@ -1,8 +1,10 @@ import dataclasses -from b3d.types import Array -import jax.numpy as jnp from typing import Optional +import jax.numpy as jnp + +from b3d.types import Array + @dataclasses.dataclass(kw_only=True) class MeshData: diff --git a/b3d/io/utils.py b/src/b3d/io/utils.py similarity index 94% rename from b3d/io/utils.py rename to src/b3d/io/utils.py index 9fba16db..e36dd512 100644 --- a/b3d/io/utils.py +++ b/src/b3d/io/utils.py @@ -1,19 +1,15 @@ -import os -from .video_input import VideoInput -from b3d.utils import get_shared -from b3d.types import Array -from b3d.io import VideoInput, FeatureTrackData -import numpy as np -import jax.numpy as jnp -import matplotlib.pyplot as plt -import jax +import argparse +import inspect +from pathlib import Path + import cv2 +import matplotlib.pyplot as plt import numpy as np from sklearn.utils import Bunch -from pathlib import Path -import argparse -import inspect -import sys + +from b3d.types import Array + +from .video_input import VideoInput def add_argparse(f): @@ -129,7 +125,6 @@ def load_video_to_numpy( T = int(cap.get(cv2.CAP_PROP_FRAME_COUNT)) w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)) h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)) - fps = int(cap.get(cv2.CAP_PROP_FPS)) if times is None: times = np.arange(T, step=step) @@ -177,10 +172,15 @@ def video_input_from_mp4( downsize=1, reverse_color_channel=False, ): + info = load_video_info(video_fname) + + if info is None: + return None + if times is None: + T = info.timesteps times = np.arange(T, step=step) - info = load_video_info(video_fname) intr = np.load(intrinsics_fname, allow_pickle=True) vid = load_video_to_numpy( video_fname, @@ -222,12 +222,9 @@ def plot_video_summary( reverse_color_channel=reverse_color_channel, ) - w = vid.shape[2] - h = vid.shape[1] - # Create a plot with the summary # TODO: Should we hand in an axis? - fig, ax = plt.subplots(1, 1, figsize=(15, 4)) + _fig, ax = plt.subplots(1, 1, figsize=(15, 4)) ax.set_title(f'"{video_fname.name}"\n(start = {T0}, end = {T1}, fps = {info.fps})') _plot_frame_summary(vid, ticks=times, ax=ax) @@ -238,7 +235,7 @@ def _plot_frame_summary(frames: Array, ticks: Array = None, ax=None): # Create a plot with the summary if ax is None: - fig, ax = plt.subplots(1, 1, figsize=(15, 4)) + _fig, ax = plt.subplots(1, 1, figsize=(15, 4)) ax.axis("off") ax.imshow(np.concatenate(frames, axis=1)) if ticks is not None: diff --git a/b3d/io/video_input.py b/src/b3d/io/video_input.py similarity index 98% rename from b3d/io/video_input.py rename to src/b3d/io/video_input.py index 239998cf..0a8058ff 100644 --- a/b3d/io/video_input.py +++ b/src/b3d/io/video_input.py @@ -1,7 +1,9 @@ -from b3d.types import Array -import jax.numpy as jnp from dataclasses import dataclass +import jax.numpy as jnp + +from b3d.types import Array + @dataclass class VideoInput: @@ -13,7 +15,7 @@ class VideoInput: x-axis pointing to the right, and y-axis pointing down. This is the OpenCV convention. Quaternions. We follow scipy.spatial.transform.Rotation.from_quat which uses scalar-last (x, y, z, w) Camera Intrinsics. We store it as an array of shape (8,) containing width, height, fx, fy, cx, cy, near, far. - The camera matrix is given by: $$ K = \begin{bmatrix} f_x & 0 & c_x \ 0 & f_y & c_y \ 0 & 0 & 1 \end{bmatrix} $$ + The camera matrix is given by: $$ K = \\begin{bmatrix} f_x & 0 & c_x \\ 0 & f_y & c_y \\ 0 & 0 & 1 \\end{bmatrix} $$ Spatial units. Spatial units are measured in meters (if not indicated otherwise). **Attributes:** diff --git a/b3d/mesh.py b/src/b3d/mesh.py similarity index 88% rename from b3d/mesh.py rename to src/b3d/mesh.py index 52d2eaab..4b399db6 100644 --- a/b3d/mesh.py +++ b/src/b3d/mesh.py @@ -1,11 +1,11 @@ -import b3d -import jax.numpy as jnp -from b3d import Pose import jax +import jax.numpy as jnp +import numpy as np +import rerun as rr import trimesh from jax.tree_util import register_pytree_node_class -import rerun as rr -import numpy as np + +import b3d @jax.jit @@ -66,6 +66,36 @@ def rr_visualize_mesh(channel, mesh): ) +@jax.jit +def mesh_from_xyz_colors_dimensions(xyz, colors, dimensions): + meshes = b3d.mesh.transform_mesh( + jax.vmap(b3d.mesh.Mesh.cube_mesh)(dimensions, colors), + b3d.Pose.from_translation(xyz)[:, None], + ) + return b3d.mesh.Mesh.squeeze_mesh(meshes) + + +@jax.jit +def plane_mesh_from_plane_and_dimensions(pose, w, h, color): + vertices = jnp.array( + [ + [-w / 2, -h / 2, 0], + [-w / 2, h / 2, 0], + [w / 2, h / 2, 0], + [w / 2, -h / 2, 0], + ] + ) + vertices = pose.apply(vertices) + faces = jnp.array( + [ + [0, 1, 3], + [3, 1, 2], + ] + ) + vertex_attributes = jnp.ones((len(vertices), 3)) * color + return Mesh(vertices, faces, vertex_attributes) + + @register_pytree_node_class class Mesh: def __init__(self, vertices, faces, vertex_attributes): @@ -136,7 +166,7 @@ def __repr__(self) -> str: return f"Mesh(vertices={self.vertices.shape[:-1]}, faces={self.faces.shape[:-1]}, vertex_attributes={self.vertex_attributes.shape[:-1]})" def __len__(self): - assert len(self.vertices.shape) == 3, "This is not a batched mesh object." + # assert len(self.vertices.shape) == 3, "This is not a batched mesh object." return self.vertices.shape[0] def __getitem__(self, index): @@ -148,6 +178,7 @@ def __getitem__(self, index): transform_and_merge_meshes = staticmethod(transform_and_merge_meshes) transform_mesh = staticmethod(transform_mesh) squeeze_mesh = staticmethod(squeeze_mesh) + mesh_from_xyz_colors_dimensions = staticmethod(mesh_from_xyz_colors_dimensions) def rr_visualize(self, channel): rr_visualize_mesh(channel, self) @@ -211,9 +242,6 @@ def cube_mesh(dimensions=jnp.ones(3), color=jnp.array([1.0, 0.0, 0.0])): def shape(self): return self.vertices.shape[:-1] - def __len__(self): - return self.vertices.shape[0] - def __iter__(self): self.current = 0 return self @@ -223,8 +251,3 @@ def __next__(self): if self.current <= len(self): return self[self.current - 1] raise StopIteration - - def __getitem__(self, index): - return Mesh( - self.vertices[index], self.faces[index], self.vertex_attributes[index] - ) diff --git a/b3d/modeling_utils.py b/src/b3d/modeling_utils.py similarity index 99% rename from b3d/modeling_utils.py rename to src/b3d/modeling_utils.py index f39f6fa5..8d20dbf9 100644 --- a/b3d/modeling_utils.py +++ b/src/b3d/modeling_utils.py @@ -1,13 +1,14 @@ import genjax +import jax +import jax.numpy as jnp +from tensorflow_probability.substrates import jax as tfp + from b3d.pose import ( - sample_uniform_pose, + logpdf_gaussian_vmf_pose, logpdf_uniform_pose, sample_gaussian_vmf_pose, - logpdf_gaussian_vmf_pose, + sample_uniform_pose, ) -import jax -import jax.numpy as jnp -from tensorflow_probability.substrates import jax as tfp uniform_discrete = genjax.exact_density( lambda key, vals: jax.random.choice(key, vals), diff --git a/b3d/pose/__init__.py b/src/b3d/pose/__init__.py similarity index 100% rename from b3d/pose/__init__.py rename to src/b3d/pose/__init__.py diff --git a/b3d/pose/core.py b/src/b3d/pose/core.py similarity index 96% rename from b3d/pose/core.py rename to src/b3d/pose/core.py index 9239477e..0bc31bad 100644 --- a/b3d/pose/core.py +++ b/src/b3d/pose/core.py @@ -1,10 +1,10 @@ -from jax.tree_util import register_pytree_node_class -import jax.numpy as jnp +from typing import TypeAlias + import jax +import jax.numpy as jnp from jax.scipy.spatial.transform import Rotation as Rot +from jax.tree_util import register_pytree_node_class from tensorflow_probability.substrates import jax as tfp -from typing import TypeAlias -from b3d.utils import keysplit Array: TypeAlias = jax.Array Float: TypeAlias = Array @@ -27,7 +27,7 @@ def choose_good_quat(q): so we'll iteratively resolve that as well. Recall that SO(3) is isomorphic to S^3/x~-x and - also to D^3/~ where x~-x for x in S^2 = \partial D^3. + also to D^3/~ where x~-x for x in S^2 = \\partial D^3. """ return jnp.where( q[..., [3]] != 0, @@ -42,6 +42,7 @@ def choose_good_quat(q): ) +@jax.jit def sample_uniform_pose(key, low, high): keys = jax.random.split(key, 2) pos = jax.random.uniform(keys[0], (3,)) * (high - low) + low @@ -57,6 +58,7 @@ def logpdf_uniform_pose(pose, low, high): return position_score.sum() + jnp.pi**2 +@jax.jit def sample_gaussian_vmf_pose(key, mean_pose, std, concentration): """ Samples poses from the product of a diagonal normal distribution (for position) and @@ -71,6 +73,8 @@ def sample_gaussian_vmf_pose(key, mean_pose, std, concentration): See: > https://en.wikipedia.org/wiki/Von_Mises%E2%80%93Fisher_distribution#Relation_to_normal_distribution """ + from b3d.utils import keysplit + _, keys = keysplit(key, 1, 2) var = std**2 x = jax.random.multivariate_normal(keys[0], mean_pose.pos, var * jnp.eye(3)) @@ -137,7 +141,7 @@ def unit_quaternion(self): raise Warning( "Use `identity_quaternion` instead, a unit quaternion is any quat with norm 1!" ) - return identity_quaternion + return self.identity_quaternion @property def pos(self): @@ -177,7 +181,7 @@ def canonical(self): chooses from {q, -q} s.t. q[3] >= 0. Note that if q[3]==0 there is still ambiguity. Recall that SO(3) is isomorphic to S^3/x~-x and - also to D^3/~ where x~-x for x in S^2 = \partial D^3. + also to D^3/~ where x~-x for x in S^2 = \\partial D^3. """ quat = self.quat / jnp.linalg.norm(self.quat, axis=-1, keepdims=True) return Pose(self.pos, choose_good_quat(quat)) @@ -369,7 +373,11 @@ def from_pos_matrix(pos, matrix): from_position_and_target = camera_from_position_and_target sample_uniform_pose = sample_uniform_pose - sample_uniform_pose_jit = jax.jit(sample_uniform_pose) - sample_uniform_pose_vmap = jax.vmap(sample_uniform_pose, in_axes=(0, None, None)) + sample_uniform_pose_vmap = jax.jit( + jax.vmap(sample_uniform_pose, in_axes=(0, None, None)) + ) sample_gaussian_vmf_pose = sample_gaussian_vmf_pose sample_gaussian_vmf_pose_jit = jax.jit(sample_gaussian_vmf_pose) + sample_gaussian_vmf_pose_vmap = jax.vmap( + sample_gaussian_vmf_pose, in_axes=(0, None, None, None) + ) diff --git a/b3d/pose/pose_utils.py b/src/b3d/pose/pose_utils.py similarity index 94% rename from b3d/pose/pose_utils.py rename to src/b3d/pose/pose_utils.py index 6690d5c2..f85cc687 100644 --- a/b3d/pose/pose_utils.py +++ b/src/b3d/pose/pose_utils.py @@ -1,11 +1,13 @@ +import genjax import jax import jax.numpy as jnp -from b3d.utils import keysplit + from .core import Pose -import genjax def uniform_samples_from_disc(key, N, d=3): + from b3d.utils import keysplit + _, keys = keysplit(key, 1, 2) r = jax.random.uniform(keys[0], (N, 1), minval=0, maxval=1) phi = jax.random.normal(keys[1], (N, d)) @@ -36,7 +38,7 @@ def volume_of_3_ball(r): # TODO: Is this correct?? def volume_of_cap_around_north_pole(r): """ - Returns the volume of $S^3 \cap ( \{ \sqrt{x^2 + y^2 + z^2}=1 \} \times \R )$ + Returns the volume of $S^3 \\cap (\\{ \\sqrt{x^2 + y^2 + z^2}=1 \\} \times \\R )$ """ return jnp.pi * (jnp.pi - (jnp.sin(2 * jnp.arccos(r)) + 2 * jnp.arccos(r))) @@ -72,6 +74,8 @@ def uniform_samples_from_SE3_around_identity(key, N, rx=1.0, rq=1.0): axes_radius=0.01) ``` """ + from b3d.utils import keysplit + # TODO: assert rq <= 1.0, "rq should be <= 1" _, keys = keysplit(key, 1, 2) diff --git a/b3d/renderer/LICENSE.txt b/src/b3d/renderer/LICENSE.txt 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b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.cpp b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.cpp similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.cpp rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.cpp diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/rasterize_gl.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_common.inl b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_common.inl similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_common.inl rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_common.inl diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_types.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_types.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_types.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/common/torch_types.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/__init__.py b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/__init__.py similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/__init__.py rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/__init__.py diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_binding_ops.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_binding_ops.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_binding_ops.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_binding_ops.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_bindings.cpp b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_bindings.cpp similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_bindings.cpp rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_bindings.cpp diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.cpp b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.cpp similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.cpp rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.cpp diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_interpolate.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.cpp b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.cpp similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.cpp rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.cpp diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/jax_rasterize_gl.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/ops.py b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/ops.py similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/ops.py rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/ops.py diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_common.inl b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_common.inl similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_common.inl rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_common.inl diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_types.h b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_types.h similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_types.h rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/jax/torch_types.h diff --git a/b3d/renderer/nvdiffrast_jax/nvdiffrast/lib/setgpu.lib b/src/b3d/renderer/nvdiffrast_jax/nvdiffrast/lib/setgpu.lib similarity index 100% rename from b3d/renderer/nvdiffrast_jax/nvdiffrast/lib/setgpu.lib rename to src/b3d/renderer/nvdiffrast_jax/nvdiffrast/lib/setgpu.lib diff --git a/b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py b/src/b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py similarity index 99% rename from b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py rename to src/b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py index ce9fd5ca..8c0eeef8 100644 --- a/b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py +++ b/src/b3d/renderer/nvdiffrast_jax/renderer_matching_pytorch.py @@ -3,17 +3,16 @@ import time from collections import namedtuple +import bayes3d as b + +# import nvdiffrast.torch as dr +import bayes3d.rendering.nvdiffrast_full.nvdiffrast.torch as dr # modified nvdiffrast to expose backward fn call api import jax import jax.numpy as jnp import numpy as np import torch from jax_renderer import Renderer as JaxRenderer -import bayes3d as b - -# import nvdiffrast.torch as dr -import bayes3d.rendering.nvdiffrast_full.nvdiffrast.torch as dr # modified nvdiffrast to expose backward fn call api - # -------------- # Which renderer to test # -------------- diff --git a/b3d/renderer/nvdiffrast_jax/run_sample.sh b/src/b3d/renderer/nvdiffrast_jax/run_sample.sh similarity index 100% rename from b3d/renderer/nvdiffrast_jax/run_sample.sh rename to src/b3d/renderer/nvdiffrast_jax/run_sample.sh diff --git a/b3d/renderer/nvdiffrast_jax/scripts/test.sh b/src/b3d/renderer/nvdiffrast_jax/scripts/test.sh similarity index 100% rename from b3d/renderer/nvdiffrast_jax/scripts/test.sh rename to src/b3d/renderer/nvdiffrast_jax/scripts/test.sh diff --git a/b3d/renderer/nvdiffrast_jax/setup.py b/src/b3d/renderer/nvdiffrast_jax/setup.py similarity index 100% rename from b3d/renderer/nvdiffrast_jax/setup.py rename to src/b3d/renderer/nvdiffrast_jax/setup.py diff --git a/b3d/renderer/renderer.py b/src/b3d/renderer/renderer.py similarity index 99% rename from b3d/renderer/renderer.py rename to src/b3d/renderer/renderer.py index c2dc8eb4..968a6598 100644 --- a/b3d/renderer/renderer.py +++ b/src/b3d/renderer/renderer.py @@ -1,4 +1,5 @@ import functools + import jax import jax.numpy as jnp import numpy as np @@ -7,6 +8,7 @@ from jax.interpreters import batching, mlir, xla from jax.lib import xla_client from jaxlib.hlo_helpers import custom_call + import b3d.renderer.nvdiffrast.jax as dr from b3d.camera import Intrinsics @@ -136,7 +138,8 @@ def _rasterize_bwd(self, saved_tensors, diffs): ) dy, ddb = diffs - grads = _rasterize_bwd_custom_call( + # Don't delete! This call has the side-effect of preventing JAX from complaining when we call `grad` on a `Renderer`. + _rasterize_bwd_custom_call( self, pose, pos, @@ -458,7 +461,6 @@ def _render_batch(args, axes): if pose.ndim != 5: raise NotImplementedError("Underlying primitive must operate on 4D poses.") - original_shape = pose.shape poses = jnp.moveaxis(pose, axes[0], 0) size_1 = poses.shape[0] size_2 = poses.shape[1] @@ -685,9 +687,9 @@ def _interpolate_fwd_abstract( triangle_ids, faces, ): - num_vertices, num_attributes = attributes.shape + _num_vertices, num_attributes = attributes.shape num_images, height, width, _ = uvs.shape - num_tri, _ = faces.shape + _num_tri, _ = faces.shape dtype = dtypes.canonicalize_dtype(attributes.dtype) @@ -749,9 +751,6 @@ def _interpolate_fwd_lowering( def _render_batch_interp(args, axes): attributes, uvs, triangle_ids, faces = args - original_shape_uvs = uvs.shape - original_shape_triangle_ids = triangle_ids.shape - uvs = jnp.moveaxis(uvs, axes[1], 0) size_1 = uvs.shape[0] size_2 = uvs.shape[1] diff --git a/b3d/renderer/renderer_original.py b/src/b3d/renderer/renderer_original.py similarity index 92% rename from b3d/renderer/renderer_original.py rename to src/b3d/renderer/renderer_original.py index 0a2bbb87..92457af7 100644 --- a/b3d/renderer/renderer_original.py +++ b/src/b3d/renderer/renderer_original.py @@ -8,11 +8,9 @@ from jax.interpreters import batching, mlir, xla from jax.lib import xla_client from jaxlib.hlo_helpers import custom_call -import functools -import os + import b3d import b3d.renderer.nvdiffrast_jax.nvdiffrast.jax as dr -import rerun as rr def projection_matrix_from_intrinsics(w, h, fx, fy, cx, cy, near, far): @@ -77,9 +75,14 @@ def interpolate_fwd(self, attr, rast, faces): return output, (attr, rast, faces) +# def rasterize_bwd(self, saved_tensors, diffs): +# pos, tri = saved_tensors +# return jnp.zeros_like(pos), jnp.zeros_like(tri) + + def interpolate_bwd(self, saved_tensors, diffs): attr, rast, faces = saved_tensors - return jnp.zeros_like(pos), jnp.zeros_like(tri) + return jnp.zeros_like(attr), jnp.zeros_like(rast), jnp.zeros_like(faces) interpolate_prim.defvjp(interpolate_fwd, interpolate_bwd) @@ -88,14 +91,15 @@ def interpolate_bwd(self, saved_tensors, diffs): class RendererOriginal(object): def __init__( self, - width=200, - height=200, - fx=150.0, - fy=150.0, - cx=100.0, - cy=100.0, + width=100, + height=100, + fx=75.0, + fy=75.0, + cx=50.0, + cy=50.0, near=0.001, - far=10.0, + far=5.0, + scaling=1.0, ): """ Triangle mesh renderer. @@ -121,7 +125,16 @@ def __init__( Number of layers in the depth buffer. """ self.renderer_env = dr.RasterizeGLContext(output_db=False) - self.set_intrinsics(width, height, fx, fy, cx, cy, near, far) + self.set_intrinsics( + width * scaling, + height * scaling, + fx * scaling, + fy * scaling, + cx * scaling, + cy * scaling, + near, + far, + ) def set_intrinsics(self, width, height, fx, fy, cx, cy, near, far): self.width, self.height = int(width), int(height) @@ -140,6 +153,9 @@ def rasterize_many(self, pos, tri): def rasterize(self, pos, tri): return self.rasterize_many(pos[None, ...], tri)[0] + def rasterize_mesh(self, mesh): + return self.rasterize(mesh.vertices, mesh.faces) + def rasterize_original(self, pos, tri): return _rasterize_fwd_custom_call(self, pos, tri, self.resolution) @@ -192,12 +208,12 @@ def _register_custom_calls(): # @functools.partial(jax.jit, static_argnums=(0,)) -def _rasterize_fwd_custom_call(r: "Renderer", pos, tri, resolution): +def _rasterize_fwd_custom_call(r: "RendererOriginal", pos, tri, resolution): return _build_rasterize_fwd_primitive(r).bind(pos, tri, resolution) @functools.lru_cache(maxsize=None) -def _build_rasterize_fwd_primitive(r: "Renderer"): +def _build_rasterize_fwd_primitive(r: "RendererOriginal"): _register_custom_calls() # For JIT compilation we need a function to evaluate the shape and dtype of the # outputs of our op for some given inputs @@ -277,7 +293,6 @@ def _rasterize_fwd_lowering(ctx, pos, tri, resolution): def _render_batch(args, axes): pos, tri, resolution = args - original_shape = pos.shape pos_reshaped = pos.reshape(-1, *pos.shape[-2:]) (rendered,) = _rasterize_fwd_custom_call(r, pos_reshaped, tri, resolution) @@ -304,7 +319,7 @@ def _render_batch(args, axes): # @functools.partial(jax.jit, static_argnums=(0,)) def _interpolate_fwd_custom_call( - r: "Renderer", + r: "RendererOriginal", attributes, rast, faces, @@ -317,7 +332,7 @@ def _interpolate_fwd_custom_call( # @functools.lru_cache(maxsize=None) -def _build_interpolate_fwd_primitive(r: "Renderer"): +def _build_interpolate_fwd_primitive(r: "RendererOriginal"): _register_custom_calls() # For JIT compilation we need a function to evaluate the shape and dtype of the # outputs of our op for some given inputs @@ -327,9 +342,9 @@ def _interpolate_fwd_abstract( rast, faces, ): - _, num_vertices, num_attributes = attributes.shape + _, _num_vertices, num_attributes = attributes.shape num_images, height, width, _ = rast.shape - num_tri, _ = faces.shape + _num_tri, _ = faces.shape dtype = dtypes.canonicalize_dtype(attributes.dtype) @@ -390,7 +405,6 @@ def _interpolate_fwd_lowering( def _interpolate_batch(args, axes): attributes, rast, faces = args - original_shape = attributes.shape attributes_reshaped = attributes.reshape(-1, *attributes.shape[-2:]) rast_reshaped = rast.reshape(-1, *rast.shape[-3:]) diff --git a/b3d/renderer/torch/__init__.py b/src/b3d/renderer/torch/__init__.py similarity index 100% rename from b3d/renderer/torch/__init__.py rename to src/b3d/renderer/torch/__init__.py diff --git a/src/b3d/renderer/torch/pose.py b/src/b3d/renderer/torch/pose.py new file mode 100644 index 00000000..e69de29b diff --git a/b3d/renderer/torch/renderutils/__init__.py b/src/b3d/renderer/torch/renderutils/__init__.py similarity index 100% rename from b3d/renderer/torch/renderutils/__init__.py rename to src/b3d/renderer/torch/renderutils/__init__.py diff --git a/b3d/renderer/torch/renderutils/c_src/common.cpp b/src/b3d/renderer/torch/renderutils/c_src/common.cpp similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/common.cpp rename to src/b3d/renderer/torch/renderutils/c_src/common.cpp diff --git a/b3d/renderer/torch/renderutils/c_src/common.h b/src/b3d/renderer/torch/renderutils/c_src/common.h similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/common.h rename to src/b3d/renderer/torch/renderutils/c_src/common.h diff --git a/b3d/renderer/torch/renderutils/c_src/mesh.cu b/src/b3d/renderer/torch/renderutils/c_src/mesh.cu similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/mesh.cu rename to src/b3d/renderer/torch/renderutils/c_src/mesh.cu diff --git a/b3d/renderer/torch/renderutils/c_src/mesh.h b/src/b3d/renderer/torch/renderutils/c_src/mesh.h similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/mesh.h rename to src/b3d/renderer/torch/renderutils/c_src/mesh.h diff --git a/b3d/renderer/torch/renderutils/c_src/tensor.h b/src/b3d/renderer/torch/renderutils/c_src/tensor.h similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/tensor.h rename to src/b3d/renderer/torch/renderutils/c_src/tensor.h diff --git a/b3d/renderer/torch/renderutils/c_src/torch_bindings.cpp b/src/b3d/renderer/torch/renderutils/c_src/torch_bindings.cpp similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/torch_bindings.cpp rename to src/b3d/renderer/torch/renderutils/c_src/torch_bindings.cpp diff --git a/b3d/renderer/torch/renderutils/c_src/vec3f.h b/src/b3d/renderer/torch/renderutils/c_src/vec3f.h similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/vec3f.h rename to src/b3d/renderer/torch/renderutils/c_src/vec3f.h diff --git a/b3d/renderer/torch/renderutils/c_src/vec4f.h b/src/b3d/renderer/torch/renderutils/c_src/vec4f.h similarity index 100% rename from b3d/renderer/torch/renderutils/c_src/vec4f.h rename to src/b3d/renderer/torch/renderutils/c_src/vec4f.h diff --git a/b3d/renderer/torch/renderutils/diffdope.py b/src/b3d/renderer/torch/renderutils/diffdope.py similarity index 100% rename from b3d/renderer/torch/renderutils/diffdope.py rename to src/b3d/renderer/torch/renderutils/diffdope.py diff --git a/b3d/renderer/torch/renderutils/ops.py b/src/b3d/renderer/torch/renderutils/ops.py similarity index 99% rename from b3d/renderer/torch/renderutils/ops.py rename to src/b3d/renderer/torch/renderutils/ops.py index 0ffb7d94..850d502c 100644 --- a/b3d/renderer/torch/renderutils/ops.py +++ b/src/b3d/renderer/torch/renderutils/ops.py @@ -8,9 +8,7 @@ # its affiliates is strictly prohibited. import os -import sys -import numpy as np import torch import torch.utils.cpp_extension @@ -75,7 +73,7 @@ def find_cl_path(): ) if os.path.exists(lock_fn): print("Warning: Lock file exists in build directory: '%s'" % lock_fn) - except: + except Exception: pass # Compile and load. diff --git a/b3d/renderer/torch/torch_utils.py b/src/b3d/renderer/torch/torch_utils.py similarity index 100% rename from b3d/renderer/torch/torch_utils.py rename to src/b3d/renderer/torch/torch_utils.py diff --git a/b3d/types.py b/src/b3d/types.py similarity index 100% rename from b3d/types.py rename to src/b3d/types.py index e4da2a51..9c24163e 100644 --- a/b3d/types.py +++ b/src/b3d/types.py @@ -1,11 +1,11 @@ ### +from builtins import tuple as _tuple from typing import Any, TypeAlias -import jax + import genjax -from builtins import tuple as _tuple +import jax from jax.tree_util import register_pytree_node_class - Shape = int | tuple[int, ...] Array: TypeAlias = jax.Array Bool: TypeAlias = Array diff --git a/b3d/utils.py b/src/b3d/utils.py similarity index 86% rename from b3d/utils.py rename to src/b3d/utils.py index c19b9660..dcd79c5b 100644 --- a/b3d/utils.py +++ b/src/b3d/utils.py @@ -1,22 +1,27 @@ -import jax.numpy as jnp +import inspect +import os +import subprocess +import tempfile from functools import partial -import numpy as np +from pathlib import Path +from typing import TypeAlias + +import cv2 +import distinctipy import genjax -from PIL import Image -import subprocess import jax +import jax.numpy as jnp +import numpy as np +import rerun as rr import sklearn.cluster -import b3d -import cv2 - -import inspect -from pathlib import Path -import os import trimesh -import rerun as rr -import distinctipy +from jax.scipy.spatial.transform import Rotation as Rot +from PIL import Image, ImageDraw, ImageFont + +import b3d +from b3d.pose import Pose -from sklearn.utils import Bunch +# TODO: Refactor utils into core and others, to avoid circular imports # # # # # # # # # # # # # @@ -26,7 +31,7 @@ def get_root_path() -> Path: - return Path(Path(b3d.__file__).parents[1]) + return Path(Path(b3d.__file__).parents[2]) def get_assets() -> Path: @@ -80,19 +85,41 @@ def keysplit(key, *ns): return keys +@jax.jit +def split_key(key): + return jax.random.split(key, 2)[-1] + + # # # # # # # # # # # # # # Other # # # # # # # # # # # # # -from b3d.pose import Pose, Rot -from functools import partial -# TODO: Refactor utils into core and others, to avoid circular imports @partial(jax.jit, static_argnums=(1, 2)) -def resize_image(rgbd, height, width): - return jax.image.resize(rgbd, (height, width, rgbd.shape[-1]), method="nearest") +def resize_image_nearest(rgbd, height, width): + return jax.image.resize(rgbd, (height, width, *rgbd.shape[2:]), method="nearest") + + +resize_image_nearest_vmap = jax.jit( + jax.vmap(resize_image_nearest, in_axes=(0, None, None)), static_argnums=(1, 2) +) + + +@partial(jax.jit, static_argnums=(1, 2)) +def resize_image_linear(rgbd, height, width): + return jax.image.resize(rgbd, (height, width, *rgbd.shape[2:]), method="linear") + + +resize_image_linear_vmap = jax.jit( + jax.vmap(resize_image_linear, in_axes=(0, None, None)), static_argnums=(1, 2) +) + + +@jax.jit +def clip_rgb(rgb): + return jnp.clip(rgb, 0.0, 1.0) @partial(jax.jit, static_argnums=1) @@ -102,7 +129,8 @@ def downsize_images(ims, k): return jax.vmap(jax.image.resize, (0, None, None))(ims, shape, "linear") -def xyz_from_depth(z: "Depth Image", fx, fy, cx, cy): +@jax.jit +def xyz_from_depth(z: rr.DepthImage, fx, fy, cx, cy): v, u = jnp.mgrid[: z.shape[0], : z.shape[1]] x = (u - cx) / fx y = (v - cy) / fy @@ -262,11 +290,6 @@ def make_gif_from_pil_images(images, filename): ) -import tempfile -import subprocess -import os - - def make_video_from_pil_images(images, output_filename, fps=5.0): # Generate a random tmp directory name tmp_dir = tempfile.mkdtemp() @@ -291,9 +314,6 @@ def make_video_from_pil_images(images, output_filename, fps=5.0): ) -from PIL import Image, ImageDraw, ImageFont - - def vstack_images(images, border=10): """Stack images vertically. @@ -484,37 +504,61 @@ def multivmap(f, args=None): multivmapped = jax.vmap( multivmapped, in_axes=make_onehot(len(args), i, hot=0, cold=None) ) - return multivmapped + return jax.jit(multivmapped) -def update_choices(trace, key, addresses, *values): +@jax.jit +def update_choices(trace, addresses, *values): return trace.update( - key, genjax.ChoiceMap.d({addr: c for (addr, c) in zip(addresses.const, values)}) + jax.random.PRNGKey(0), + genjax.ChoiceMap.d({addr: c for (addr, c) in zip(addresses.const, values)}), )[0] -update_choices_jit = jax.jit(update_choices, static_argnums=(2,)) - - -def update_choices_get_score(trace, key, addr_const, *values): - return update_choices(trace, key, addr_const, *values).get_score() +@jax.jit +def update_choices_get_score(trace, addr_const, *values): + return update_choices(trace, addr_const, *values).get_score() -update_choices_get_score_jit = jax.jit(update_choices_get_score, static_argnums=(2,)) +enumerate_choices = jax.jit( + jax.vmap( + update_choices, + in_axes=(None, None, 0), + ) +) -enumerate_choices = jax.vmap( - update_choices, - in_axes=(None, None, None, 0), +enumerate_choices_get_scores = jax.jit( + jax.vmap( + update_choices_get_score, + in_axes=(None, None, 0), + ) ) -enumerate_choices_jit = jax.jit(enumerate_choices, static_argnums=(2,)) -enumerate_choices_get_scores = jax.vmap( +grid1 = multivmap( update_choices_get_score, - in_axes=(None, None, None, 0), -) -enumerate_choices_get_scores_jit = jax.jit( - enumerate_choices_get_scores, static_argnums=(2,) + ( + False, + False, + True, + ), ) +grid2 = multivmap(update_choices_get_score, (False, False, True, True)) +grid3 = multivmap(update_choices_get_score, (False, False, True, True, True)) +grid4 = multivmap(update_choices_get_score, (False, False, True, True, True, True)) + + +@jax.jit +def grid_trace(trace, addresses_const, values): + if len(addresses_const.const) == 1: + return grid1(trace, addresses_const, *values) + elif len(addresses_const.const) == 2: + return grid2(trace, addresses_const, *values) + elif len(addresses_const.const) == 3: + return grid3(trace, addresses_const, *values) + elif len(addresses_const.const) == 4: + return grid4(trace, addresses_const, *values) + else: + raise ValueError("Too many addresses") def nn_background_segmentation(images): @@ -544,7 +588,6 @@ def nn_background_segmentation(images): def rr_log_pose(channel, pose, scale=0.1): origins = jnp.tile(pose.pos[None, ...], (3, 1)) - vectors = jnp.eye(3) colors = jnp.eye(3) rr.log( channel, @@ -559,17 +602,38 @@ def rr_init(name="demo"): rr.connect("127.0.0.1:8812") -def rr_log_rgb(channel, rgb): +def rr_log_rgb(rgb, channel="rgb"): rr.log(channel, rr.Image(rgb)) -def rr_log_depth(channel, depth): - rr.log(channel, rr.DepthImage(depth)) +def rr_log_depth(depth, channel="depth"): + rr.log(channel, rr.DepthImage(depth * 1.0)) + + +def rr_log_mask(mask, channel="mask"): + rr.log(channel, rr.DepthImage(mask * 1.0)) + + +def rr_log_rgbd(rgbd, channel="rgbd"): + rr_log_rgb( + rgbd[..., :3], + channel + "/rgb", + ) + rr_log_depth(rgbd[..., 3], channel + "/depth") + + +def rr_log_cloud(cloud, channel="cloud"): + rr.log(channel, rr.Points3D(cloud.reshape(-1, 3))) + + +def rr_set_time(t=0): + rr.set_time_sequence("time", t) -def rr_log_rgbd(channel, rgbd): - rr_log_rgb(channel + "/rgb", rgbd[..., :3]) - rr_log_depth(channel + "/depth", rgbd[..., 3]) +def reload(x): + import importlib + + importlib.reload(x) def normalize_log_scores(log_p): @@ -583,9 +647,6 @@ def normalize_log_scores(log_p): return jnp.exp(log_p - jax.scipy.special.logsumexp(log_p)) -from typing import Any, NamedTuple, TypeAlias -import jax - Array: TypeAlias = jax.Array @@ -800,3 +861,22 @@ def voxel_occupied_occluded_free( in_axes=(0, 0, 0, None, None, None, None, None, None, None), ) ) + + +def make_grid_points(min_vec, max_vec, num_vec): + """ + Generate uniformly spaced translation proposals in a 3D box + Args: + min_x, min_y, min_z: minimum x, y, z values + """ + deltas = jnp.stack( + jnp.meshgrid( + *[ + jnp.linspace(min_vec[i], max_vec[i], num_vec[i]) + for i in range(len(min_vec)) + ], + ), + axis=-1, + ) + deltas = deltas.reshape((-1, len(min_vec)), order="F") + return deltas diff --git a/tests/common/task.py b/tests/common/task.py index aeded7c0..bd007e31 100644 --- a/tests/common/task.py +++ b/tests/common/task.py @@ -1,3 +1,6 @@ +from typing import Any + + class Task: """ Lightweight base class for defining tasks to be solved by parts of the b3d codebase. @@ -22,13 +25,13 @@ class Task: ### CORE TASK INTERFACE ### ### Task developers should define the following. ### - def get_task_specification() -> "Tuple[Any, Any]": + def get_task_specification() -> tuple[Any, Any]: """ Outputs `task_spec`, the input given to a task solver. """ raise NotImplementedError() - def score(self, solution, **kwargs) -> "Any": + def score(self, solution, **kwargs) -> Any: """ Scores an attempted solution ot the task, returning a collection of metrics. diff --git a/tests/conftest.py b/tests/conftest.py index 0c78a4ac..c133e9f4 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -5,9 +5,6 @@ # Arrange @pytest.fixture def renderer(): - import b3d - import pytest - width = 200 height = 200 fx = 200.0 diff --git a/tests/dense_model_unit_tests/triangle_depth_posterior/solver/importance.py b/tests/dense_model_unit_tests/triangle_depth_posterior/solver/importance.py index ac0a3896..613ad101 100644 --- a/tests/dense_model_unit_tests/triangle_depth_posterior/solver/importance.py +++ b/tests/dense_model_unit_tests/triangle_depth_posterior/solver/importance.py @@ -1,10 +1,11 @@ -from ....common.solver import Solver -import jax -import jax.numpy as jnp import b3d import genjax +import jax +import jax.numpy as jnp from genjax import ChoiceMapBuilder as C -from .model import model_factory, get_likelihood, rr_log_trace + +from ....common.solver import Solver +from .model import get_likelihood, model_factory, rr_log_trace RENDERER_HYPERPARAMS = ( b3d.chisight.dense.differentiable_renderer.DifferentiableRendererHyperparams( @@ -24,7 +25,7 @@ def gt_informed_triangle_proposal(gt_triangle, mindepth, maxdepth, fx, fy, cx, c A, B, C = gt_triangle # Origin of the camera frame - O = jnp.zeros(3) + origin = jnp.zeros(3) # Step 1: sample a random depth along the ray from # the camera origin to each vertex of the triangle. @@ -32,9 +33,9 @@ def gt_informed_triangle_proposal(gt_triangle, mindepth, maxdepth, fx, fy, cx, c # depth2 = genjax.uniform(mindepth, maxdepth) @ "depth2" # depth3 = genjax.uniform(mindepth, maxdepth) @ "depth3" - D = O + depth1 / jnp.linalg.norm(A - O) * (A - O) - E = O + depth1 / jnp.linalg.norm(B - O) * (B - O) - F = O + depth1 / jnp.linalg.norm(C - O) * (C - O) + D = origin + depth1 / jnp.linalg.norm(A - origin) * (A - origin) + E = origin + depth1 / jnp.linalg.norm(B - origin) * (B - origin) + F = origin + depth1 / jnp.linalg.norm(C - origin) * (C - origin) new_triangle = jnp.stack([D, E, F], axis=0) return new_triangle diff --git a/tests/dense_model_unit_tests/triangle_depth_posterior/solver/model.py b/tests/dense_model_unit_tests/triangle_depth_posterior/solver/model.py index 3ea98283..035814a9 100644 --- a/tests/dense_model_unit_tests/triangle_depth_posterior/solver/model.py +++ b/tests/dense_model_unit_tests/triangle_depth_posterior/solver/model.py @@ -1,9 +1,9 @@ -import jax -import jax.numpy as jnp -import genjax import b3d -import b3d.chisight.dense.likelihoods as likelihoods import b3d.chisight.dense.differentiable_renderer as rendering +import b3d.chisight.dense.likelihoods as likelihoods +import genjax +import jax +import jax.numpy as jnp import rerun as rr diff --git a/tests/dense_model_unit_tests/triangle_depth_posterior/task.py b/tests/dense_model_unit_tests/triangle_depth_posterior/task.py index 1a8331a1..c5bb9de2 100644 --- a/tests/dense_model_unit_tests/triangle_depth_posterior/task.py +++ b/tests/dense_model_unit_tests/triangle_depth_posterior/task.py @@ -1,10 +1,11 @@ +import b3d import b3d.chisight.dense.differentiable_renderer as differentiable_renderer -from ...common.task import Task import jax import jax.numpy as jnp -import b3d -import rerun as rr import matplotlib.pyplot as plt +import rerun as rr + +from ...common.task import Task class TrianglePosteriorGridApproximationTask(Task): @@ -61,7 +62,7 @@ def get_task_specification(self): triangle = triangle - triangle[0] triangle = triangle / jnp.linalg.norm(triangle[1]) - partition, background_z = self._get_grid_partition() + partition, _background_z = self._get_grid_partition() task_spec = { "video": video, diff --git a/tests/dense_model_unit_tests/triangle_depth_posterior/test_triangle_depth_posterior.py b/tests/dense_model_unit_tests/triangle_depth_posterior/test_triangle_depth_posterior.py index 9b8fd9fb..de0a2775 100644 --- a/tests/dense_model_unit_tests/triangle_depth_posterior/test_triangle_depth_posterior.py +++ b/tests/dense_model_unit_tests/triangle_depth_posterior/test_triangle_depth_posterior.py @@ -1,9 +1,9 @@ -import jax import jax.numpy as jnp -from .task import TrianglePosteriorGridApproximationTask -from .solver.importance import ImportanceSolver import pytest +from .solver.importance import ImportanceSolver +from .task import TrianglePosteriorGridApproximationTask + task_specs = [ (background_color, triangle_color) for background_color in [jnp.array([1.0, 1.0, 1.0]), jnp.array([0.0, 0.0, 0.0])] diff --git a/tests/dlpack.py b/tests/dlpack.py index f01ff59b..9a812a07 100644 --- a/tests/dlpack.py +++ b/tests/dlpack.py @@ -1,18 +1,14 @@ -import argparse import os -import pathlib -import sys -import numpy as np -import torch -import imageio + import b3d -from tqdm import tqdm +import jax import jax.numpy as jnp +import numpy as np import nvdiffrast.torch as dr -import time +import torch +import trimesh device = torch.device("cuda" if torch.cuda.is_available() else "cpu") -import trimesh mesh_path = os.path.join( b3d.get_root_path(), "assets/shared_data_bucket/025_mug/textured.obj" @@ -33,12 +29,14 @@ resolution = 1024 -convert_to_torch = lambda x: torch.utils.dlpack.from_dlpack(jax.dlpack.to_dlpack((x))) -convert_to_jax = lambda x: jax.dlpack.from_dlpack( - torch.utils.dlpack.to_dlpack((x.contiguous())) -) -import jax +def convert_to_torch(x): + return torch.utils.dlpack.from_dlpack(jax.dlpack.to_dlpack(x)) + + +def convert_to_jax(x): + return jax.dlpack.from_dlpack(torch.utils.dlpack.to_dlpack(x.contiguous())) + vertices_jax_4 = jnp.array(vertices.cpu().numpy()) vertices_jax = jnp.array(vertices.cpu().numpy())[..., :3] diff --git a/tests/sama4d/data_curation.py b/tests/sama4d/data_curation.py index 11dae962..a1a56a73 100644 --- a/tests/sama4d/data_curation.py +++ b/tests/sama4d/data_curation.py @@ -1,7 +1,8 @@ -import jax -import jax.numpy as jnp import os + import b3d +import jax +import jax.numpy as jnp import trimesh @@ -86,7 +87,7 @@ def ftd_from_rotating_cheezit_box(n_frames=30): observed_keypoints_positions=jax.vmap( lambda positions_3D_W, X_WC: b3d.xyz_to_pixel_coordinates( X_WC.inv().apply(positions_3D_W), r.fx, r.fy, r.cx, r.cy - ), + )[..., ::-1], in_axes=(0, 0), )(centers_3D_W_over_time, poses_WC), keypoint_visibility=jnp.ones( @@ -140,9 +141,9 @@ def load_rotating_cheezit_box_data(n_frames=30): # height_gradations = jnp.arange(42, 88, 8) - 12 width_gradations = jnp.arange(36, 70, 6) height_gradations = jnp.arange(30, 76, 6) - centers_2D_frame_0 = all_pairs_2(height_gradations, width_gradations) + centers_2D_frame_0 = all_pairs_2(width_gradations, height_gradations) - centers_3D_frame0_C = xyzs_C[0][centers_2D_frame_0[:, 0], centers_2D_frame_0[:, 1]] + centers_3D_frame0_C = xyzs_C[0][centers_2D_frame_0[:, 1], centers_2D_frame_0[:, 0]] centers_3D_frame0_W = X_WC.apply(centers_3D_frame0_C) # Let frame B0 be the first box pose @@ -167,6 +168,9 @@ def load_rotating_cheezit_box_data(n_frames=30): def all_pairs_2(X, Y): + """ + Gives a list of (x, y) pairs. + """ return jnp.swapaxes(jnp.stack(jnp.meshgrid(X, Y), axis=-1), 0, 1).reshape(-1, 2) diff --git a/tests/sama4d/tracks_to_segmentation/dummy_solver.py b/tests/sama4d/tracks_to_segmentation/dummy_solver.py index 890487a8..39f967e5 100644 --- a/tests/sama4d/tracks_to_segmentation/dummy_solver.py +++ b/tests/sama4d/tracks_to_segmentation/dummy_solver.py @@ -1,4 +1,5 @@ import jax.numpy as jnp + from tests.common.solver import Solver diff --git a/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_task.py b/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_task.py index 6ba3f1f6..524ed1d1 100644 --- a/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_task.py +++ b/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_task.py @@ -1,7 +1,9 @@ -from tests.common.task import Task +from typing import Callable + import b3d import jax.numpy as jnp -from typing import Callable + +from tests.common.task import Task class KeypointsToSegmentationTask(Task): @@ -9,7 +11,7 @@ class KeypointsToSegmentationTask(Task): The task specification consists of: - keypoint_tracks_2D [2D keypoint tracks] (T, N, 2) array of 2D keypoint center positions at each frame - stored as (y, x) pixel coordinates + stored as (x, y) pixel coordinates - keypoint_visibility [keypoint visibility] (T, N) array of keypoint visibility at each frame - poses_WC [`poses_WC[t]` is the camera pose in the world's coordinate frame diff --git a/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_test.py b/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_test.py index 4a632e6a..c446d0f1 100644 --- a/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_test.py +++ b/tests/sama4d/tracks_to_segmentation/keypoints_to_segmentation_test.py @@ -1,5 +1,5 @@ import pytest -import jax.numpy as jnp + from .registration import all_task_solver_pairs diff --git a/tests/sama4d/tracks_to_segmentation/registration.py b/tests/sama4d/tracks_to_segmentation/registration.py index 82012d83..f99ad2d8 100644 --- a/tests/sama4d/tracks_to_segmentation/registration.py +++ b/tests/sama4d/tracks_to_segmentation/registration.py @@ -3,8 +3,8 @@ """ from ..data_curation import get_loaders_for_all_curated_scenes -from .keypoints_to_segmentation_task import KeypointsToSegmentationTask from .dummy_solver import DummyTracksToSegmentationSolver +from .keypoints_to_segmentation_task import KeypointsToSegmentationTask all_tasks = [ KeypointsToSegmentationTask( diff --git a/tests/sama4d/video_to_tracks/keypoint_tracking_task.py b/tests/sama4d/video_to_tracks/keypoint_tracking_task.py index 90d013cb..6b55a844 100644 --- a/tests/sama4d/video_to_tracks/keypoint_tracking_task.py +++ b/tests/sama4d/video_to_tracks/keypoint_tracking_task.py @@ -1,9 +1,11 @@ -from tests.common.task import Task +from typing import Callable + import b3d -import numpy as np import jax.numpy as jnp +import numpy as np import rerun as rr -from typing import Callable + +from tests.common.task import Task class KeypointTrackingTask(Task): @@ -13,7 +15,7 @@ class KeypointTrackingTask(Task): - poses_WC [camera pose in the world frame, per frame] - initial_keypoint_positions_2D [2D keypoint center positions at frame 0] (N, 2) array of 2D keypoint center positions at frame 0 - stored as (y, x) pixel coordinates + stored as [x, y]) pixel coordinates - renderer [Renderer object containing camera intrincis] The "ground truth" data consists of @@ -127,7 +129,7 @@ def visualize_task(self, *, viz_keypoints=True): rr.log( "/task/initial_keypoint_positions_2D", rr.Points2D( - np.array(self.keypoint_positions_2D[0][:, ::-1]), + np.array(self.keypoint_positions_2D[0]), colors=np.array([0.0, 1.0, 0.0]), ), timeless=True, @@ -170,7 +172,7 @@ def visualize_task(self, *, viz_keypoints=True): rr.log( "/groundtruth_solution/keypoints_2d", rr.Points2D( - np.array(self.keypoint_positions_2D[i, :, ::-1]), + np.array(self.keypoint_positions_2D[i]), colors=np.array([0.0, 1.0, 0.0]), ), ) @@ -207,8 +209,8 @@ def visualize_solution(self, solution, metrics): rr.log( "/solution/keypoints_2D", rr.Points2D( - np.array(solution[i, :, ::-1]), + np.array(solution[i]), colors=np.array([0.0, 0.0, 1.0]), - radii=0.3, + radii=1.0, ), ) diff --git a/tests/sama4d/video_to_tracks/keypoint_tracking_test.py b/tests/sama4d/video_to_tracks/keypoint_tracking_test.py index 33539c8c..88a44622 100644 --- a/tests/sama4d/video_to_tracks/keypoint_tracking_test.py +++ b/tests/sama4d/video_to_tracks/keypoint_tracking_test.py @@ -1,6 +1,6 @@ -import gc -import pytest import jax.numpy as jnp +import pytest + from .registration import all_task_solver_pairs diff --git a/tests/sama4d/video_to_tracks/notebooks/adam_on_cheezit.ipynb b/tests/sama4d/video_to_tracks/notebooks/adam_on_cheezit.ipynb index b6de73d9..6510e14a 100644 --- a/tests/sama4d/video_to_tracks/notebooks/adam_on_cheezit.ipynb +++ b/tests/sama4d/video_to_tracks/notebooks/adam_on_cheezit.ipynb @@ -19,7 +19,7 @@ "import b3d\n", "import sys\n", "\n", - "sys.path.append(b3d.get_root_path())\n", + "sys.path.append(str(b3d.get_root_path()))\n", "\n", "from tests.sama4d.video_to_tracks.keypoint_tracking_task import KeypointTrackingTask\n", "from tests.sama4d.data_curation import get_cheezitbox_scene_loader\n", @@ -36,7 +36,7 @@ "task = KeypointTrackingTask(\n", " scene_spec[\"feature_track_data_loader\"],\n", " scene_name=scene_spec[\"scene_name\"],\n", - " n_frames=10,\n", + " n_frames=2,\n", ")" ] }, @@ -46,7 +46,7 @@ "metadata": {}, "outputs": [], "source": [ - "rr.init(f\"task--{task.name}-14\")\n", + "rr.init(f'task--{task.name}-003')\n", "rr.connect(\"127.0.0.1:8812\")\n", "task.visualize_task()" ] @@ -62,7 +62,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -76,17 +76,17 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'mean_distance_error': Array(2.126846, dtype=float32),\n", - " 'n_errors_above_threshold_per_frame': Array([ 2, 3, 7, 7, 8, 11, 9, 9, 10, 13], dtype=int32)}" + "{'mean_distance_error': Array(1.5791383, dtype=float32),\n", + " 'n_errors_above_threshold_per_frame': Array([2, 4], dtype=int32)}" ] }, - "execution_count": 7, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -98,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -107,7 +107,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -129,7 +129,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -145,7 +145,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -159,14 +159,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'mean_distance_error': Array(1.8742015, dtype=float32),\n", - " 'n_errors_above_threshold_per_frame': Array([2, 5, 3, 3, 4, 4, 4, 5, 5, 7], dtype=int32)}" + "{'mean_distance_error': Array(1.9814739, dtype=float32),\n", + " 'n_errors_above_threshold_per_frame': Array([0, 4, 4, 7, 5, 7, 8, 8, 9, 9], dtype=int32)}" ] }, "execution_count": 12, @@ -181,14 +181,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "{'mean_distance_error': Array(2.126846, dtype=float32),\n", - " 'n_errors_above_threshold_per_frame': Array([ 2, 3, 7, 7, 8, 11, 9, 9, 10, 13], dtype=int32)}" + "{'mean_distance_error': Array(2.096604, dtype=float32),\n", + " 'n_errors_above_threshold_per_frame': Array([ 1, 3, 3, 6, 8, 6, 11, 13, 14, 15], dtype=int32)}" ] }, "execution_count": 13, @@ -200,6 +200,13 @@ "# from newer version\n", "metrics" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/tests/sama4d/video_to_tracks/notebooks/adam_on_unity_task.ipynb b/tests/sama4d/video_to_tracks/notebooks/adam_on_unity_task.ipynb index cbeb2964..81fe8655 100644 --- a/tests/sama4d/video_to_tracks/notebooks/adam_on_unity_task.ipynb +++ b/tests/sama4d/video_to_tracks/notebooks/adam_on_unity_task.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -12,19 +12,19 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import b3d\n", "import sys\n", "\n", - "sys.path.append(b3d.get_root_path())" + "sys.path.append(str(b3d.get_root_path()))" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -34,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -45,7 +45,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -53,13 +53,13 @@ "task = KeypointTrackingTask(\n", " scene_spec[\"feature_track_data_loader\"],\n", " scene_name=scene_spec[\"scene_name\"],\n", - " n_frames=5,\n", + " n_frames=4,\n", ")" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -70,7 +70,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +79,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -93,13 +93,45 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "metrics = task.score(solution)\n", + "task.visualize_solution(solution, metrics)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "solver.visualize_solver_state(task_spec)" ] }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "import rerun.blueprint as rrb\n", + "\n", + "bp = rrb.Blueprint(\n", + " rrb.Horizontal(\n", + " rrb.Spatial3DView(),\n", + " rrb.Vertical(\n", + " rrb.Spatial2DView(\n", + " contents=[\"groundtruth_solution/keypoints_2d\", \"solution/keypoints_2D\"]\n", + " ),\n", + " rrb.Spatial2DView(),\n", + " ),\n", + " )\n", + ")\n", + "rr.send_blueprint(bp)" + ] + }, { "cell_type": "code", "execution_count": null, diff --git a/tests/sama4d/video_to_tracks/registration.py b/tests/sama4d/video_to_tracks/registration.py index c136563c..eb0aa38d 100644 --- a/tests/sama4d/video_to_tracks/registration.py +++ b/tests/sama4d/video_to_tracks/registration.py @@ -4,9 +4,6 @@ from ..data_curation import get_loaders_for_all_curated_scenes from .keypoint_tracking_task import KeypointTrackingTask -from .solvers.dense_only_patch_tracking_solver import ( - AdamPatchTracker_UsingDenseOnlyTraces, -) from .solvers.particle_system_patch_tracking_solver import ( AdamPatchTracker_UsingSingleframeParticleSystemTraces, ) diff --git a/tests/sama4d/video_to_tracks/solvers/dense_only_patch_tracking_solver.py b/tests/sama4d/video_to_tracks/solvers/dense_only_patch_tracking_solver.py index 90dda53e..d69d1eae 100644 --- a/tests/sama4d/video_to_tracks/solvers/dense_only_patch_tracking_solver.py +++ b/tests/sama4d/video_to_tracks/solvers/dense_only_patch_tracking_solver.py @@ -1,12 +1,13 @@ -from tests.common.solver import Solver import b3d +import b3d.chisight.dense.dense_only_patch_tracking.patch_tracking as tracking +import jax.numpy as jnp +import rerun as rr from b3d import Pose from b3d.chisight.dense.dense_only_patch_tracking.model import ( rr_log_uniformpose_meshes_to_image_model_trace, ) -import b3d.chisight.dense.dense_only_patch_tracking.patch_tracking as tracking -import jax.numpy as jnp -import rerun as rr + +from tests.common.solver import Solver class AdamPatchTracker_UsingDenseOnlyTraces(Solver): @@ -73,7 +74,7 @@ def solve(self, task_spec): keypoints_3D_C = jnp.stack(self.all_positions_C) inferred_keypoints_2D = b3d.camera.screen_from_camera( keypoints_3D_C, r.get_intrinsics_object() - )[:, :, ::-1] + ) return inferred_keypoints_2D def visualize_solver_state(self, task_spec): diff --git a/tests/sama4d/video_to_tracks/solvers/particle_system_patch_tracking_solver.py b/tests/sama4d/video_to_tracks/solvers/particle_system_patch_tracking_solver.py index bee14a33..fadfab85 100644 --- a/tests/sama4d/video_to_tracks/solvers/particle_system_patch_tracking_solver.py +++ b/tests/sama4d/video_to_tracks/solvers/particle_system_patch_tracking_solver.py @@ -1,11 +1,12 @@ -from tests.common.solver import Solver import b3d -from b3d import Pose +import b3d.chisight.dense.differentiable_renderer as diffrend import b3d.chisight.patch_tracking as tracking +import jax import jax.numpy as jnp import rerun as rr -import b3d.chisight.dense.differentiable_renderer as diffrend -import jax +from b3d import Pose + +from tests.common.solver import Solver class AdamPatchTracker_UsingSingleframeParticleSystemTraces(Solver): @@ -68,7 +69,7 @@ def solve(self, task_spec): keypoints_3D_C = jnp.stack(self.all_positions_C) inferred_keypoints_2D = b3d.camera.screen_from_camera( keypoints_3D_C, r.get_intrinsics_object() - )[:, :, ::-1] + ) return inferred_keypoints_2D def visualize_solver_state(self, task_spec): diff --git a/tests/sama4d/video_to_tracks_and_segmentation/dummy_solver.py b/tests/sama4d/video_to_tracks_and_segmentation/dummy_solver.py index e9717200..6ce95c22 100644 --- a/tests/sama4d/video_to_tracks_and_segmentation/dummy_solver.py +++ b/tests/sama4d/video_to_tracks_and_segmentation/dummy_solver.py @@ -1,6 +1,7 @@ -from tests.common.solver import Solver import jax.numpy as jnp +from tests.common.solver import Solver + class KeypointTrackingAndSegmentationDummySolver(Solver): def solve(self, task_spec): diff --git a/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_task.py b/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_task.py index 3d7a72bb..83109efd 100644 --- a/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_task.py +++ b/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_task.py @@ -1,7 +1,7 @@ -from tests.sama4d.video_to_tracks.keypoint_tracking_task import KeypointTrackingTask from tests.sama4d.tracks_to_segmentation.keypoints_to_segmentation_task import ( KeypointsToSegmentationTask, ) +from tests.sama4d.video_to_tracks.keypoint_tracking_task import KeypointTrackingTask # Extend the KeypointTrackingTask class to expect an object segmentation, @@ -13,7 +13,7 @@ class KeypointTrackingAndSegmentationTask(KeypointTrackingTask): - poses_WC [camera pose in the world frame, per frame] - initial_keypoint_positions_2D [2D keypoint center positions at frame 0] (N, 2) array of 2D keypoint center positions at frame 0 - stored as (y, x) pixel coordinates + stored as (x, y) pixel coordinates - renderer [Renderer object containing camera intrincis] The "ground truth" data consists of diff --git a/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_test.py b/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_test.py index 1f78a761..0f1a283f 100644 --- a/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_test.py +++ b/tests/sama4d/video_to_tracks_and_segmentation/keypoint_tracking_and_segmentation_test.py @@ -1,5 +1,6 @@ -import pytest import jax.numpy as jnp +import pytest + from .registration import all_task_solver_pairs diff --git a/tests/sama4d/video_to_tracks_and_segmentation/registration.py b/tests/sama4d/video_to_tracks_and_segmentation/registration.py index 1f4e13d5..cba2810d 100644 --- a/tests/sama4d/video_to_tracks_and_segmentation/registration.py +++ b/tests/sama4d/video_to_tracks_and_segmentation/registration.py @@ -3,8 +3,8 @@ """ from ..data_curation import get_loaders_for_all_curated_scenes -from .keypoint_tracking_and_segmentation_task import KeypointTrackingAndSegmentationTask from .dummy_solver import KeypointTrackingAndSegmentationDummySolver +from .keypoint_tracking_and_segmentation_task import KeypointTrackingAndSegmentationTask all_tasks = [ KeypointTrackingAndSegmentationTask( diff --git a/tests/sama4d/visualize_all_tasks_and_solvers.py b/tests/sama4d/visualize_all_tasks_and_solvers.py index bea2cbfb..1404f45d 100644 --- a/tests/sama4d/visualize_all_tasks_and_solvers.py +++ b/tests/sama4d/visualize_all_tasks_and_solvers.py @@ -1,15 +1,17 @@ # This script can be run to visualize all tasks and solvers in the sama4d dataset. -import b3d import sys +import b3d + sys.path.append(b3d.get_root_path()) import rerun as rr -from tests.sama4d.video_to_tracks.registration import all_task_solver_pairs as pairs_1 + from tests.sama4d.tracks_to_segmentation.registration import ( all_task_solver_pairs as pairs_2, ) +from tests.sama4d.video_to_tracks.registration import all_task_solver_pairs as pairs_1 from tests.sama4d.video_to_tracks_and_segmentation.registration import ( all_task_solver_pairs as pairs_3, ) @@ -19,9 +21,9 @@ # the GPU runs out of memory. # Fixing this is a priority for the week of July 1, 2024. for groupname, pairs in [ - ("Video To Tracks", pairs_1[:2]), - ("Tracks To Segmentation", pairs_2[:2]), - ("Video To Tracks And Segmentation", pairs_3[:2]), + ("Video To Tracks", [pairs_1[0], pairs_1[-1]]), + ("Tracks To Segmentation", [pairs_2[0], pairs_2[-1]]), + ("Video To Tracks And Segmentation", [pairs_3[0], pairs_3[-1]]), ]: print(f"****************{groupname}****************") for task, solver in pairs: @@ -32,7 +34,3 @@ print(f"----Metrics for solver {solver.name} on task {task.name}----") for key, value in metrics.items(): print(f"\t{key}:\t {value}") - - # Free GPU memory if these are using any (e.g. to store videos) - del task - del solver diff --git a/tests/test_bayes3d_model.py b/tests/test_bayes3d_model.py index cf00bd5d..f3003525 100644 --- a/tests/test_bayes3d_model.py +++ b/tests/test_bayes3d_model.py @@ -1,12 +1,11 @@ import b3d import b3d.bayes3d as bayes3d -from b3d.bayes3d.model import model_multiobject_gl_factory -from b3d import Pose -import jax import genjax -from genjax import ChoiceMapBuilder as C +import jax import jax.numpy as jnp -import pytest +from b3d import Pose +from b3d.bayes3d.model import model_multiobject_gl_factory +from genjax import ChoiceMapBuilder as C class TestGroup: @@ -25,13 +24,13 @@ class TestGroup: @genjax.gen def object_gf(object_library): - object_identity = ( + ( b3d.modeling_utils.uniform_discrete( jnp.arange(-1, object_library.get_num_objects()) ) @ "id" ) - object_pose = ( + ( b3d.modeling_utils.uniform_pose(jnp.ones(3) * -100.0, jnp.ones(3) * 100.0) @ "pose" ) diff --git a/tests/test_chisight_dense_gps.py b/tests/test_chisight_dense_gps.py index 725902e2..1274442c 100644 --- a/tests/test_chisight_dense_gps.py +++ b/tests/test_chisight_dense_gps.py @@ -1,24 +1,16 @@ +import importlib + import b3d -from b3d.renderer.renderer_original import RendererOriginal +import b3d.chisight.particle_system as ps +import jax +import jax.numpy as jnp +from b3d import Mesh, Pose from b3d.chisight.dense.likelihoods import ( KRaysImageLikelihoodArgs, make_krays_image_observation_model, - get_rgb_depth_inliers_from_observed_rendered_args, ) -import jax -import jax.numpy as jnp -import os -from b3d import Pose, Mesh - -import b3d.chisight.particle_system as ps -import genjax +from b3d.renderer.renderer_original import RendererOriginal from genjax import Pytree -import jax -from b3d import Pose -import b3d -from genjax import ChoiceMapBuilder as C - -import importlib importlib.reload(ps) diff --git a/tests/test_chisight_sparse_gps.py b/tests/test_chisight_sparse_gps.py index 59955653..a0fe9371 100644 --- a/tests/test_chisight_sparse_gps.py +++ b/tests/test_chisight_sparse_gps.py @@ -1,19 +1,12 @@ -import b3d -from b3d.renderer.renderer_original import RendererOriginal -import jax -import jax.numpy as jnp -import os -from b3d import Pose, Mesh +import importlib +import b3d import b3d.chisight.particle_system as ps -import genjax -from genjax import Pytree import jax +import jax.numpy as jnp from b3d import Pose -import b3d from genjax import ChoiceMapBuilder as C - -import importlib +from genjax import Pytree importlib.reload(ps) @@ -21,7 +14,6 @@ def test_sparse_gps_simulate(): b3d.rr_init() - renderer = RendererOriginal() key = jax.random.PRNGKey(1000) num_timesteps = Pytree.const(10) @@ -59,7 +51,7 @@ def test_sparse_gps_simulate(): C["particle_dynamics", "state0", "initial_camera_pose"].set(Pose.identity()) ) - trace, w = ps.sparse_gps_model.importance( + trace, _w = ps.sparse_gps_model.importance( key, chm, args, diff --git a/tests/test_diff_renderer.py b/tests/test_diff_renderer.py index 83a4a26b..423720d7 100644 --- a/tests/test_diff_renderer.py +++ b/tests/test_diff_renderer.py @@ -1,22 +1,12 @@ -import jax.numpy as jnp -import jax -import matplotlib.pyplot as plt -import numpy as np -import os -import trimesh +from functools import partial + import b3d -from jax.scipy.spatial.transform import Rotation as Rot -from b3d import Pose -import rerun as rr -import functools -import genjax -from tqdm import tqdm +import b3d.chisight.dense.differentiable_renderer as rendering import jax import jax.numpy as jnp import optax -import b3d.chisight.dense.differentiable_renderer as rendering -import demos.differentiable_renderer.utils as utils -from functools import partial +import rerun as rr +from tqdm import tqdm rr.init("gradients") rr.connect("127.0.0.1:8812") @@ -47,10 +37,6 @@ def test_diff_renderer(renderer): # renderer = b3d.Renderer(image_width, image_height, fx, fy, cx, cy, near, far) renderer.set_intrinsics(image_width, image_height, fx, fy, cx, cy, near, far) - WINDOW = 5 - - hyperparams = rendering.DEFAULT_HYPERPARAMS - def render(particle_centers, particle_widths, particle_colors): particle_widths = jnp.abs(particle_widths) # Get triangle "mesh" for the scene: diff --git a/tests/test_feature_track_data.py b/tests/test_feature_track_data.py index 005f3a85..a9a1c618 100644 --- a/tests/test_feature_track_data.py +++ b/tests/test_feature_track_data.py @@ -1,6 +1,7 @@ -import b3d import os +import b3d + def assert_valid_ftd(ftd): assert ftd.latent_keypoint_positions is not None diff --git a/tests/test_image_posterior_resolution_invariance.py b/tests/test_image_posterior_resolution_invariance.py index 2c836eaa..b7802d94 100644 --- a/tests/test_image_posterior_resolution_invariance.py +++ b/tests/test_image_posterior_resolution_invariance.py @@ -4,19 +4,20 @@ # should NOT become peakier when the scene/observed images gain resolution. -import jax.numpy as jnp -import jax -import genjax -import matplotlib.pyplot as plt import os -import trimesh +import unittest + import b3d import b3d.bayes3d as bayes3d -from b3d import Pose +import genjax +import jax +import jax.numpy as jnp +import matplotlib.pyplot as plt import rerun as rr -from tqdm import tqdm -import unittest +import trimesh +from b3d import Pose from genjax import Pytree +from tqdm import tqdm class UpsamplingRenderer(b3d.Renderer): @@ -62,7 +63,7 @@ def setUp(self, rerun=False, plot=False): # TODO pass in mesh path faces = jnp.array(mesh.faces) vertex_colors = vertices * 0.0 + jnp.array([1.0, 0.0, 0.0]) vertex_colors = jnp.array(mesh.visual.to_color().vertex_colors)[..., :3] / 255.0 - ranges = jnp.array([[0, len(faces)]]) + self.object_library = bayes3d.MeshLibrary.make_empty_library() self.object_library.add_object(vertices, faces, vertex_colors) print(f"{self.object_library.get_num_objects()} object(s) in library") @@ -252,10 +253,11 @@ def get_gridding_posterior( key = jax.random.PRNGKey(0) ## sampling grid - cp_to_pose = lambda cp: Pose( - jnp.array([cp[0], cp[1], 0.0]), - b3d.Rot.from_rotvec(jnp.array([cp[2], 0.0, cp[3]])).as_quat(), - ) + def cp_to_pose(cp): + return Pose( + jnp.array([cp[0], cp[1], 0.0]), + b3d.Rot.from_rotvec(jnp.array([cp[2], 0.0, cp[3]])).as_quat(), + ) delta_cps = jnp.stack( jnp.meshgrid( @@ -299,8 +301,8 @@ def get_gridding_posterior( test_poses_batches = test_poses.split(10) scores = jnp.concatenate( [ - b3d.enumerate_choices_get_scores_jit( - gt_trace, key, Pytree.const(("object_pose_0",)), poses + b3d.enumerate_choices_get_scores( + gt_trace, Pytree.const(("object_pose_0",)), poses ) for poses in test_poses_batches ] @@ -336,10 +338,9 @@ def get_gridding_posterior( ) for t in tqdm(range(len(samples))): - trace_ = b3d.update_choices_jit( + trace_ = b3d.update_choices( gt_trace, - key, - ("object_pose_0",), + Pytree.const(("object_pose_0",)), test_poses[samples[t]], ) bayes3d.rerun_visualize_trace_t(trace_, t) @@ -364,10 +365,10 @@ def _generate_plot(samples, scores, delta_cps, IMAGE_WIDTH, IMAGE_HEIGHT): circles = [] circle_radius = 0.4 - angle_to_coord = lambda rad: ( - 0.5 + circle_radius * jnp.cos(rad), - 0.5 + circle_radius * jnp.sin(rad), - ) + def angle_to_coord(rad): + return 0.5 + circle_radius * jnp.cos(rad), 0.5 + circle_radius * jnp.sin( + rad + ) for ax in axes: ax.set_box_aspect(1) @@ -404,7 +405,7 @@ def _generate_plot(samples, scores, delta_cps, IMAGE_WIDTH, IMAGE_HEIGHT): sc = axes[0].scatter( score_viz_unique[:, 0], score_viz_unique[:, 1], c=normalized_scores ) - cbar = plt.colorbar(sc, ax=axes[0], fraction=0.046, pad=0.04) + plt.colorbar(sc, ax=axes[0], fraction=0.046, pad=0.04) ## plot the sampled z angles _freqs = dict() @@ -422,7 +423,7 @@ def _generate_plot(samples, scores, delta_cps, IMAGE_WIDTH, IMAGE_HEIGHT): for unique_sample in _freqs.keys() ] ) - sc1 = axes[1].scatter( + axes[1].scatter( unique_sample_coords[:, 0], unique_sample_coords[:, 1], c=freqs, alpha=0.5 ) @@ -431,7 +432,7 @@ def _generate_plot(samples, scores, delta_cps, IMAGE_WIDTH, IMAGE_HEIGHT): if __name__ == "__main__": ## Setup rerun - rr.init(f"resolution_invariance") + rr.init("resolution_invariance") rr.connect("127.0.0.1:8812") testobj = TestImgResolutionInvariance() diff --git a/tests/test_likelihood_invariances.py b/tests/test_likelihood_invariances.py index 4010465e..b7921820 100644 --- a/tests/test_likelihood_invariances.py +++ b/tests/test_likelihood_invariances.py @@ -1,9 +1,10 @@ +import os + import b3d import b3d.bayes3d as bayes3d -import os +import jax import jax.numpy as jnp import rerun as rr -import jax import trimesh PORT = 8812 @@ -158,9 +159,6 @@ def test_distance_to_camera_invarance(renderer): depth_multiplier, ) - from genjax.generative_functions.distributions import ExactDensity - import genjax - rr.log("img_near", rr.Image(rgb_near)) rr.log("img_far", rr.Image(rgb_far)) diff --git a/tests/test_mesh.py b/tests/test_mesh.py index b0565e16..74b39d5b 100644 --- a/tests/test_mesh.py +++ b/tests/test_mesh.py @@ -1,11 +1,9 @@ +import unittest + import b3d -from b3d import Pose -from b3d import Mesh -import jax.numpy as jnp import jax -import os -import unittest -from b3d.renderer.renderer_original import RendererOriginal +import jax.numpy as jnp +from b3d import Mesh, Pose class MeshTests(unittest.TestCase): diff --git a/tests/test_mug_handle_posterior.py b/tests/test_mug_handle_posterior.py index 04212439..4d5a4e2a 100644 --- a/tests/test_mug_handle_posterior.py +++ b/tests/test_mug_handle_posterior.py @@ -1,12 +1,13 @@ -import rerun as rr -import genjax import os -import jax.numpy as jnp -import jax -from b3d import Pose + import b3d import b3d.bayes3d as bayes3d +import genjax +import jax +import jax.numpy as jnp +import rerun as rr import trimesh +from b3d import Pose from genjax import Pytree PORT = 8812 @@ -45,10 +46,12 @@ def test_gridding_posterior(self, renderer): jnp.array([0.6, 0.0, 0.0]), jnp.array([0.0, 0.0, 0.0]) ) - cp_to_pose = lambda cp: Pose( - jnp.array([cp[0], cp[1], 0.0]), - b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(), - ) + def cp_to_pose(cp): + return Pose( + jnp.array([cp[0], cp[1], 0.0]), + b3d.Rot.from_rotvec(jnp.array([0.0, 0.0, cp[2]])).as_quat(), + ) + object_library = bayes3d.MeshLibrary.make_empty_library() object_library.add_object(vertices, faces, vertex_colors) @@ -79,7 +82,6 @@ def test_gridding_posterior(self, renderer): ] model = bayes3d.model_multiobject_gl_factory(renderer) - importance_jit = jax.jit(model.importance) for text_index in range(len(cps_to_test)): gt_cp = cps_to_test[text_index] @@ -115,8 +117,8 @@ def test_gridding_posterior(self, renderer): test_poses_batches = test_poses.split(10) scores = jnp.concatenate( [ - b3d.enumerate_choices_get_scores_jit( - gt_trace, key, Pytree.const(("object_pose_0",)), poses + b3d.enumerate_choices_get_scores( + gt_trace, Pytree.const(("object_pose_0",)), poses ) for poses in test_poses_batches ] @@ -146,9 +148,8 @@ def test_gridding_posterior(self, renderer): ) for t in range(len(samples)): - trace_ = b3d.update_choices_jit( + trace_ = b3d.update_choices( gt_trace, - key, Pytree.const(("object_pose_0",)), test_poses[samples[t]], ) diff --git a/tests/test_mug_smc_pose_inference_synthetic_and_real.py b/tests/test_mug_smc_pose_inference_synthetic_and_real.py index d42f79ab..e126c66d 100644 --- a/tests/test_mug_smc_pose_inference_synthetic_and_real.py +++ b/tests/test_mug_smc_pose_inference_synthetic_and_real.py @@ -1,16 +1,15 @@ -import rerun as rr -import genjax import os -import numpy as np -import jax.numpy as jnp -import jax -from b3d import Pose + import b3d import b3d.bayes3d as bayes3d -from tqdm import tqdm -import trimesh import genjax +import jax +import jax.numpy as jnp +import rerun as rr +import trimesh +from b3d import Pose from genjax import Pytree +from tqdm import tqdm def test_renderer_full(renderer): @@ -101,7 +100,6 @@ def test_renderer_full(renderer): renderer, bayes3d.rgbd_sensor_model ) - importance_jit = jax.jit(model.importance) key = jax.random.PRNGKey(110) point_cloud = b3d.xyz_from_depth(depth, fx, fy, cx, cy).reshape(-1, 3) @@ -155,7 +153,7 @@ def test_renderer_full(renderer): else: params = jnp.array([params[0] * 0.5, params[1] * 2.0]) skips += 1 - print(f"shrinking") + print("shrinking") if skips > 5: print(f"skip {t}") break @@ -181,8 +179,8 @@ def test_renderer_full(renderer): scores = jnp.concatenate( [ - b3d.enumerate_choices_get_scores_jit( - trace, key, Pytree.const(("object_pose_0",)), poses + b3d.enumerate_choices_get_scores( + trace, Pytree.const(("object_pose_0",)), poses ) for poses in test_poses_batches ] @@ -197,9 +195,8 @@ def test_renderer_full(renderer): )[2] ) - trace = b3d.update_choices_jit( + trace = b3d.update_choices( trace, - key, Pytree.const(("object_pose_0",)), test_poses[samples[0]], ) @@ -223,9 +220,8 @@ def test_renderer_full(renderer): ) for t in range(len(samples)): - trace = b3d.update_choices_jit( + trace = b3d.update_choices( trace, - key, Pytree.const(("object_pose_0",)), test_poses[samples[t]], ) diff --git a/tests/test_pose.py b/tests/test_pose.py index 8091e14e..92cd0fe9 100644 --- a/tests/test_pose.py +++ b/tests/test_pose.py @@ -1,11 +1,10 @@ import unittest -import jax.numpy as jnp import jax - +import jax.numpy as jnp +import numpy as np from b3d.pose import Pose, camera_from_position_and_target from jax.scipy.spatial.transform import Rotation as Rot -import numpy as np def keysplit(key, *ns): @@ -28,7 +27,6 @@ class PoseTests(unittest.TestCase): key = jax.random.PRNGKey(np.random.randint(0, 10_000)) def test_pose_properties(self): - N = 20 keys = keysplit(self.key, 2) x = jax.random.normal(keys[0], (3,)) q = jax.random.normal(keys[1], (4,)) @@ -56,7 +54,7 @@ def choose_good_quat(q): which represents the same rotation. Recall that SO(3) is isomorphic to S^3/x~-x and - also to D^3/~ where x~-x for x in S^2 = \partial D^3. + also to D^3/~ where x~-x for x in S^2 = \\partial D^3. """ # TODO: choose good representative if q[3]==0 there is still ambiguity. return jnp.where(q[..., [3]] == 0, q, jnp.sign(q[..., [3]]) * q) diff --git a/tests/test_render_ycb_model.py b/tests/test_render_ycb_model.py index 26d43113..605f34b0 100644 --- a/tests/test_render_ycb_model.py +++ b/tests/test_render_ycb_model.py @@ -1,8 +1,9 @@ import os -import jax.numpy as jnp -import trimesh + import b3d import b3d.bayes3d as bayes3d +import jax.numpy as jnp +import trimesh def test_renderer_full(renderer): @@ -19,7 +20,7 @@ def test_renderer_full(renderer): jnp.array([0.2, 0.2, 0.0]), jnp.array([0.0, 0.0, 0.0]) ).inv() - rgb, depth = renderer.render_attribute( + rgb, _depth = renderer.render_attribute( pose[None, ...], object_library.vertices, object_library.faces, diff --git a/tests/test_renderer.py b/tests/test_renderer.py index a76dfcf3..f00ee138 100644 --- a/tests/test_renderer.py +++ b/tests/test_renderer.py @@ -27,10 +27,10 @@ def test_renderer_full(renderer): poses = b3d.Pose.from_translation(jnp.array([0.0, 0.0, 5.1]))[None, ...] - uvs, object_ids, triangle_ids, zs = renderer.rasterize( + _uvs, _object_ids, _triangle_ids, _zs = renderer.rasterize( poses, vertices, faces, jnp.array([[0, len(faces)]]) ) - rgb, depth = renderer.render_attribute( + rgb, _depth = renderer.render_attribute( poses, vertices, faces, jnp.array([[0, len(faces)]]), vertex_colors ) b3d.get_rgb_pil_image(rgb).save( diff --git a/tests/test_renderer_original.py b/tests/test_renderer_original.py index a8361a8d..d4b09b82 100644 --- a/tests/test_renderer_original.py +++ b/tests/test_renderer_original.py @@ -1,10 +1,9 @@ +import importlib + import b3d import jax import jax.numpy as jnp - -import importlib - importlib.reload(b3d.renderer.renderer_original)