Bump version to 3.0.0rc3 (#9236)

* Add changelog with 3.0.0rc3

* Update docs/en/notes/changelog.md

Co-authored-by: RangiLyu <[email protected]>

* update

* update

* update

* update readme

Co-authored-by: RangiLyu <[email protected]>

Author: BIGWangYuDong

README.md

@@ -75,10 +75,11 @@ Apart from MMDetection, we also released [MMEngine](https://github.com/open-mmla
 
 ## What's New
 
-**v3.0.0rc2** was released in 21/10/2022:
+**v3.0.0rc3** was released in 4/11/2022:
 
-- Support [imagenet pre-training](configs/rtmdet/cspnext_imagenet_pretrain) for RTMDet's backbone.
-- Refactor standard roi head with `box type`.
+- Support training detection models in Detectron2
+- Support CrowdDet
+- Refactor Fast R-CNN
 
 ## Installation
 

README_zh-CN.md

@@ -74,10 +74,11 @@ MMDetection 是一个基于 PyTorch 的目标检测开源工具箱。它是 [Ope
 
 ## 最新进展
 
-**v3.0.0rc2** 版本已经在 2022.10.21 发布：
+**v3.0.0rc3** 版本已经在 2022.11.4 发布：
 
-- 支持在 [ImageNet 上预训练](configs/rtmdet/cspnext_imagenet_pretrain) RTMDet 的骨干网络。
-- 重构 Standard RoI Head 以支持 `box type`。
+- 支持训练 Detectron2 中的检测模型
+- 支持了 CrowdDet。
+- 重构了 Fast R-CNN。
 
 ## 安装
 

docker/Dockerfile

@@ -29,7 +29,7 @@ RUN apt-get update \
 
 # Install MMEngine and MMCV
 RUN pip install openmim && \
-    mim install "mmengine==0.2.0" "mmcv>=2.0.0rc1"
+    mim install "mmengine==0.3.0" "mmcv>=2.0.0rc1"
 
 # Install MMDetection
 RUN conda clean --all \

docker/serve/Dockerfile

@@ -4,7 +4,7 @@ ARG CUDNN="8"
 FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 
 ARG MMCV="2.0.0rc1"
-ARG MMDET="3.0.0rc0"
+ARG MMDET="3.0.0rc3"
 
 ENV PYTHONUNBUFFERED TRUE
 

docs/en/notes/changelog.md

@@ -1,5 +1,56 @@
 # Changelog of v3.x
 
+## v3.0.0rc2 (4/11/2022)
+
+Upgrade the minimum version of mmengine to 0.3.0 due to the addition of `ignore_key` in VOC `ConcatDataset` (#9058)
+
+### Highlights
+
+- Support training detection models in Detectron2 (#8672)
+- Support [CrowdDet](https://arxiv.org/abs/2003.09163) (#8744)
+- Refactor Fast R-CNN (#9132)
+
+#### New Features
+
+- Support training detection models in Detectron2 (#8672)
+- Support [CrowdDet](https://arxiv.org/abs/2003.09163) (#8744)
+- Support [EIoU Loss](https://ieeexplore.ieee.org/document/9429909) (#9086)
+
+#### Bug Fixes
+
+- Fix `XMLDataset` image size error (#9216)
+- Fix bugs of empty_instances when predicting without nms in roi_head (#9015)
+- Fix the config file of DETR (#9158)
+- Fix SOLOv2 cannot dealing with empty gt image (#9192)
+- Fix inference demo (#9153)
+- Add `ignore_key` in VOC `ConcatDataset` (#9058)
+- Fix dumping results issue in test scripts. (#9241)
+- Fix configs of training coco subsets on MMDet 3.x (#9225)
+- Fix corner2hbox of HorizontalBoxes for supporting empty bboxes (#9140)
+
+#### Improvements
+
+- Refactor Fast R-CNN (#9132)
+- Clean requirements of mmcv-full due to SyncBN (#9207)
+- Support training detection models in detectron2 (#8672)
+- Add `box_type` support for `DynamicSoftLabelAssigner` (#9179)
+- Make scipy as a default dependency in runtime (#9187)
+- Update eval_metric (#9062)
+- Add `seg_map_suffix` in `BaseDetDataset` (#9088)
+
+## New Contributors
+
+- @Wwupup made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9086
+- @sanbuphy made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9153
+- @cxiang26 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9158
+- @JosonChan1998 made their first contribution in https://github.com/open-mmlab/mmdetection/pull/9225
+
+#### Contributors
+
+A total of 13 developers contributed to this release.
+
+Thanks @wanghonglie, @Wwupup, @sanbuphy, @BIGWangYuDong, @liuyanyi, @cxiang26, @jbwang1997, @ZwwWayne, @yuyoujiang, @RangiLyu, @hhaAndroid, @JosonChan1998, @Czm369
+
 ## v3.0.0rc2 (21/10/2022)
 
 ### Highlights

docs/en/notes/faq.md

@@ -10,8 +10,11 @@ We list some common troubles faced by many users and their corresponding solutio
 
   | MMDetection version |      MMCV version       |     MMEngine version     |
   | :-----------------: | :---------------------: | :----------------------: |
-  |         3.x         | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.5.0, \<0.7.0 |
-  |      3.0.0rc0       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.5.0, \<0.7.0 |
+  |         3.x         | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc3       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc2       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
+  |      3.0.0rc1       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
+  |      3.0.0rc0       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
 
   **Note:**
 

docs/zh_cn/notes/faq.md

@@ -8,10 +8,12 @@
 
   MMDetection，MMEngine 和 MMCV 的版本兼容关系如下。请选择合适的版本避免安装错误 。
 
-  | MMDetection 版本 |        MMCV 版本        |      MMEngine 版本       |
-  | :--------------: | :---------------------: | :----------------------: |
-  |       3.x        | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.5.0, \<0.7.0 |
-  |     3.0.0rc0     | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.5.0, \<0.7.0 |
+  |    MMDetection 版本  |        MMCV 版本         |      MMEngine 版本       |
+  |         3.x         | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc3       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.3.0, \<1.0.0 |
+  |      3.0.0rc2       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
+  |      3.0.0rc1       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
+  |      3.0.0rc0       | mmcv>=2.0.0rc1, \<2.1.0 | mmengine>=0.1.0, \<1.0.0 |
 
   **注意：**
 

mmdet/version.py

@@ -1,6 +1,6 @@
 # Copyright (c) OpenMMLab. All rights reserved.
 
-__version__ = '3.0.0rc2'
+__version__ = '3.0.0rc3'
 short_version = __version__