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/* Copyright (c) 2019 FIRST. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without modification,
* are permitted (subject to the limitations in the disclaimer below) provided that
* the following conditions are met:
*
* Redistributions of source code must retain the above copyright notice, this list
* of conditions and the following disclaimer.
*
* Redistributions in binary form must reproduce the above copyright notice, this
* list of conditions and the following disclaimer in the documentation and/or
* other materials provided with the distribution.
*
* Neither the name of FIRST nor the names of its contributors may be used to endorse or
* promote products derived from this software without specific prior written permission.
*
* NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY THIS
* LICENSE. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
* THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
* ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
//
package org.firstinspires.ftc.teamcode.drive.opmode;
//try using dcmotorex.setposition() to move the motors a certain distance
import android.util.Size;
import com.acmerobotics.dashboard.FtcDashboard;
import com.acmerobotics.dashboard.telemetry.MultipleTelemetry;
import com.acmerobotics.roadrunner.geometry.Pose2d;
import com.acmerobotics.roadrunner.trajectory.Trajectory;
import com.arcrobotics.ftclib.controller.PIDController;
import com.qualcomm.robotcore.eventloop.opmode.Autonomous;
import com.qualcomm.robotcore.eventloop.opmode.LinearOpMode;
import com.qualcomm.robotcore.hardware.CRServo;
import com.qualcomm.robotcore.hardware.DcMotor;
import com.qualcomm.robotcore.hardware.DcMotorSimple;
import com.qualcomm.robotcore.hardware.DcMotorEx;
import org.firstinspires.ftc.robotcore.external.hardware.camera.BuiltinCameraDirection;
import org.firstinspires.ftc.robotcore.external.hardware.camera.WebcamName;
import org.firstinspires.ftc.robotcore.external.tfod.Recognition;
import org.firstinspires.ftc.teamcode.drive.SampleMecanumDrive;
import org.firstinspires.ftc.vision.VisionPortal;
import org.firstinspires.ftc.vision.tfod.TfodProcessor;
import java.util.List;
@Autonomous(name = "Blue Far", group = "Concept")
public class BlueRight extends LinearOpMode {
public static double p=0.003, i=0, d=0.0002, f=0.05;
public static double goal = 0;
public static double curr = 0;
private PIDController slideController;
boolean left;
boolean right;
boolean middle;
double speed;
private DcMotorEx lift;
private DcMotorEx lift2;
private DcMotor swingBar;
private CRServo claw;
private CRServo claw2;
private static final boolean USE_WEBCAM = true; // true for webcam, false for phone camera
/**
* The variable to store our instance of the TensorFlow Object Detection processor.
*/
private TfodProcessor tfod;
/**
* The variable to store our instance of the vision portal.
*/
private VisionPortal visionPortal;
@Override
public void runOpMode() {
initTfod();
// Wait for the DS start button to be touched.
telemetry.addData("DS preview on/off", "3 dots, Camera Stream");
telemetry.addData(">", "Touch Play to start OpMode");
telemetry.update();
// swingBar.setMode(DcMotor.RunMode.RUN_WITHOUT_ENCODER);
slideController = new PIDController(p,i,d);
telemetry = new MultipleTelemetry(telemetry, FtcDashboard.getInstance().getTelemetry());
waitForStart();
SampleMecanumDrive drive = new SampleMecanumDrive(hardwareMap);
lift = hardwareMap.get(DcMotorEx.class, "lift");
lift2 = hardwareMap.get(DcMotorEx.class, "lift2");
claw = hardwareMap.get(CRServo.class, "claw");
claw2 = hardwareMap.get(CRServo.class, "claw2");
swingBar = hardwareMap.get(DcMotor.class, "swingBar");
lift2.setDirection(DcMotorEx.Direction.REVERSE);
claw.setDirection(DcMotorSimple.Direction.REVERSE);
speed = 0.25;
Trajectory traj1 = drive.trajectoryBuilder(new Pose2d())
.back(50)
.build();
Trajectory traj2 = drive.trajectoryBuilder(new Pose2d())
.forward(15)
.build();
Trajectory traj3 = drive.trajectoryBuilder(new Pose2d())
.forward(3)
.build();
Trajectory traj4 = drive.trajectoryBuilder(new Pose2d())
.back(4)
.build();
Trajectory traj5 = drive.trajectoryBuilder(new Pose2d())
.forward(4) // 6
.build();
Trajectory traj6 = drive.trajectoryBuilder(new Pose2d())
.back(29)
.build();
Trajectory traj7 = drive.trajectoryBuilder(new Pose2d())
.strafeLeft(40)
.build();
Trajectory traj8 = drive.trajectoryBuilder(new Pose2d())
.strafeRight(5)
.build();
Trajectory traj9 = drive.trajectoryBuilder(new Pose2d())
.forward(70)
.build();
Trajectory traj10 = drive.trajectoryBuilder(new Pose2d())
.strafeRight(30)
.build();
Trajectory traj11 = drive.trajectoryBuilder(new Pose2d())
.forward(10)
.build();
Trajectory traj12 = drive.trajectoryBuilder(new Pose2d())
.strafeLeft(40)
.build();
Trajectory traj13 = drive.trajectoryBuilder(new Pose2d())
.strafeLeft(5)
.build();
Trajectory traj14 = drive.trajectoryBuilder(new Pose2d())
.strafeRight(30)
.build();
if (opModeIsActive()) {
while (opModeIsActive()) {
telemetryTfod();
// Push telemetry to the Driver Station.
telemetry.update();
// Save CPU resources; can resume streaming when needed.
if (gamepad1.dpad_down) {
visionPortal.stopStreaming();
} else if (gamepad1.dpad_up) {
visionPortal.resumeStreaming();
}
if(right == true){
swingBar.setPower(0.2);
drive.followTrajectory(traj6);
sleep(300);
drive.turn(Math.toRadians(-100));
sleep(500);
drive.followTrajectory(traj5);
sleep(200);
swingBar.setPower(0);
claw.setPower(-0.3);
claw2.setPower(-0.3);
sleep(300);
claw.setPower(0);
claw2.setPower(0);
drive.followTrajectory(traj4);
sleep(200);
drive.followTrajectory(traj7);
sleep(200);
drive.followTrajectory(traj8);
sleep(200);
drive.followTrajectory(traj9);
sleep(200);
drive.followTrajectory(traj10);
sleep(200);
drive.followTrajectory(traj11);
sleep(200);
break;
}
else if(left == true){
drive.followTrajectory(traj1);
sleep(500);
drive.turn(Math.toRadians(90));
sleep(200);
drive.followTrajectory(traj3);
sleep(500);
swingBar.setPower(0);
claw.setPower(-0.3);
claw2.setPower(-0.3);
sleep(300);
claw.setPower(0);
claw2.setPower(0);
drive.followTrajectory(traj4);
sleep(200);
drive.followTrajectory(traj12);
sleep(200);
drive.followTrajectory(traj7);
sleep(200);
drive.followTrajectory(traj13);
sleep(200);
drive.followTrajectory(traj9);
sleep(200);
drive.followTrajectory(traj14);
sleep(200);
drive.followTrajectory(traj11);
sleep(200);
break;
}
else if(middle == true){
drive.followTrajectory(traj1);
sleep(200);
drive.followTrajectory(traj2);
claw.setPower(-0.3);
claw2.setPower(-0.3);
sleep(300);
drive.followTrajectory(traj4);
claw.setPower(0);
claw2.setPower(0);
drive.turn(Math.toRadians(-100));
sleep(200);
drive.followTrajectory(traj7);
sleep(200);
drive.followTrajectory(traj8);
sleep(200);
drive.followTrajectory(traj9);
sleep(200);
drive.followTrajectory(traj10);
sleep(200);
drive.followTrajectory(traj11);
sleep(200);
break;
}
else{
drive.setMotorPowers(0, 0, 0, 0);
}
// Share the CPU.
sleep(20);
}
}
// Save more CPU resources when camera is no longer needed.
visionPortal.close();
} // end runOpMode()
/**
* Initialize the TensorFlow Object Detection processor.
*/
private void initTfod() {
// Create the TensorFlow processor by using a builder.
tfod = new TfodProcessor.Builder()
// Use setModelAssetName() if the TF Model is built in as an asset.
// Use setModelFileName() if you have downloaded a custom team model to the Robot Controller.
.setModelAssetName("redModel.tflite")
//.setModelFileName(redModel)
.setModelLabels(new String [] {
"red"
})
//.setIsModelTensorFlow2(true)
//.setIsModelQuantized(true)
//.setModelInputSize(300)
//.setModelAspectRatio(16.0 / 9.0)
.build();
// Create the vision portal by using a builder.
VisionPortal.Builder builder = new VisionPortal.Builder();
// Set the camera (webcam vs. built-in RC phone camera).
if (USE_WEBCAM) {
builder.setCamera(hardwareMap.get(WebcamName.class, "Webcam 1"));
} else {
builder.setCamera(BuiltinCameraDirection.BACK);
}
// Choose a camera resolution. Not all cameras support all resolutions.
builder.setCameraResolution(new Size(640, 480));
// Enable the RC preview (LiveView). Set "false" to omit camera monitoring.
//builder.enableCameraMonitoring(true);
// Set the stream format; MJPEG uses less bandwidth than default YUY2.
//builder.setStreamFormat(VisionPortal.StreamFormat.YUY2);
// Choose whether or not LiveView stops if no processors are enabled.
// If set "true", monitor shows solid orange screen if no processors enabled.
// If set "false", monitor shows camera view without annotations.
//builder.setAutoStopLiveView(false);
// Set and enable the processor.
builder.addProcessor(tfod);
// Build the Vision Portal, using the above settings.
visionPortal = builder.build();
// Set confidence threshold for TFOD recognitions, at any time.
tfod.setMinResultConfidence(0.7f);
// Disable or re-enable the TFOD processor at any time.
//visionPortal.setProcessorEnabled(tfod, true);
} // end method initTfod()
/**
* Add telemetry about TensorFlow Object Detection (TFOD) recognitions.
*/
private void telemetryTfod() {
List<Recognition> currentRecognitions = tfod.getRecognitions();
telemetry.addData("# Objects Detected", currentRecognitions.size());
// Step through the list of recognitions and display info for each one.
for (Recognition recognition : currentRecognitions) {
double x = (recognition.getLeft() + recognition.getRight()) / 2 ;
double y = (recognition.getTop() + recognition.getBottom()) / 2 ;
telemetry.addData(""," ");
telemetry.addData("Image", "%s (%.0f %% Conf.)", recognition.getLabel(), recognition.getConfidence() * 100);
telemetry.addData("- Position", "%.0f / %.0f", x, y);
telemetry.addData("- Size", "%.0f x %.0f", recognition.getWidth(), recognition.getHeight());
if(x<150){//these numbers might need to be tested and updated because x is in the upper right corner of the rect
left = true;
}
else if(x>400){
right = true;
}
else{
middle = true;
}
} // end for() loop
if(currentRecognitions.size() == 0){
left = true;
right = true;
middle = true;
}
} // end method telemetryTfod()
} // end class