mirror of
https://github.com/PhotonVision/photonvision
synced 2026-06-20 00:51:41 +00:00
162 lines
6.6 KiB
Java
162 lines
6.6 KiB
Java
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/*
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* MIT License
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*
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* Copyright (c) PhotonVision
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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package frc.robot;
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import static frc.robot.Constants.Vision.*;
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import edu.wpi.first.math.Matrix;
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import edu.wpi.first.math.VecBuilder;
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import edu.wpi.first.math.geometry.Pose2d;
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import edu.wpi.first.math.geometry.Rotation2d;
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import edu.wpi.first.math.numbers.N1;
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import edu.wpi.first.math.numbers.N3;
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import edu.wpi.first.wpilibj.smartdashboard.Field2d;
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import java.util.Optional;
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import org.photonvision.EstimatedRobotPose;
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import org.photonvision.PhotonCamera;
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import org.photonvision.PhotonPoseEstimator;
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import org.photonvision.PhotonPoseEstimator.PoseStrategy;
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import org.photonvision.simulation.PhotonCameraSim;
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import org.photonvision.simulation.SimCameraProperties;
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import org.photonvision.simulation.VisionSystemSim;
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import org.photonvision.targeting.PhotonPipelineResult;
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public class Vision {
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private final PhotonCamera camera;
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private final PhotonPoseEstimator photonEstimator;
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private double lastEstTimestamp = 0;
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// Simulation
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private PhotonCameraSim cameraSim;
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private VisionSystemSim visionSim;
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public Vision() {
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camera = new PhotonCamera(kCameraName);
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photonEstimator =
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new PhotonPoseEstimator(kTagLayout, PoseStrategy.MULTI_TAG_PNP, camera, kRobotToCam);
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photonEstimator.setMultiTagFallbackStrategy(PoseStrategy.LOWEST_AMBIGUITY);
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// ----- Simulation
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if (Robot.isSimulation()) {
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// Create the vision system simulation which handles cameras and targets on the field.
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visionSim = new VisionSystemSim("main");
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// Add all the AprilTags inside the tag layout as visible targets to this simulated field.
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visionSim.addAprilTags(kTagLayout);
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// Create simulated camera properties. These can be set to mimic your actual camera.
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var cameraProp = new SimCameraProperties();
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cameraProp.setCalibration(960, 720, Rotation2d.fromDegrees(90));
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cameraProp.setCalibError(0.35, 0.10);
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cameraProp.setFPS(15);
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cameraProp.setAvgLatencyMs(50);
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cameraProp.setLatencyStdDevMs(15);
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// Create a PhotonCameraSim which will update the linked PhotonCamera's values with visible
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// targets.
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cameraSim = new PhotonCameraSim(camera, cameraProp);
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// Add the simulated camera to view the targets on this simulated field.
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visionSim.addCamera(cameraSim, kRobotToCam);
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cameraSim.enableDrawWireframe(true);
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}
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}
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public PhotonPipelineResult getLatestResult() {
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return camera.getLatestResult();
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}
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/**
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* The latest estimated robot pose on the field from vision data. This may be empty. This should
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* only be called once per loop.
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*
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* @return An {@link EstimatedRobotPose} with an estimated pose, estimate timestamp, and targets
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* used for estimation.
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*/
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public Optional<EstimatedRobotPose> getEstimatedGlobalPose() {
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var visionEst = photonEstimator.update();
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double latestTimestamp = camera.getLatestResult().getTimestampSeconds();
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boolean newResult = Math.abs(latestTimestamp - lastEstTimestamp) > 1e-5;
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if (Robot.isSimulation()) {
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visionEst.ifPresentOrElse(
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est ->
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getSimDebugField()
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.getObject("VisionEstimation")
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.setPose(est.estimatedPose.toPose2d()),
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() -> {
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if (newResult) getSimDebugField().getObject("VisionEstimation").setPoses();
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});
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}
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if (newResult) lastEstTimestamp = latestTimestamp;
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return visionEst;
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}
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/**
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* The standard deviations of the estimated pose from {@link #getEstimatedGlobalPose()}, for use
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* with {@link edu.wpi.first.math.estimator.SwerveDrivePoseEstimator SwerveDrivePoseEstimator}.
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* This should only be used when there are targets visible.
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*
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* @param estimatedPose The estimated pose to guess standard deviations for.
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*/
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public Matrix<N3, N1> getEstimationStdDevs(Pose2d estimatedPose) {
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var estStdDevs = kSingleTagStdDevs;
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var targets = getLatestResult().getTargets();
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int numTags = 0;
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double avgDist = 0;
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for (var tgt : targets) {
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var tagPose = photonEstimator.getFieldTags().getTagPose(tgt.getFiducialId());
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if (tagPose.isEmpty()) continue;
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numTags++;
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avgDist +=
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tagPose.get().toPose2d().getTranslation().getDistance(estimatedPose.getTranslation());
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}
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if (numTags == 0) return estStdDevs;
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avgDist /= numTags;
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// Decrease std devs if multiple targets are visible
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if (numTags > 1) estStdDevs = kMultiTagStdDevs;
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// Increase std devs based on (average) distance
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if (numTags == 1 && avgDist > 4)
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estStdDevs = VecBuilder.fill(Double.MAX_VALUE, Double.MAX_VALUE, Double.MAX_VALUE);
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else estStdDevs = estStdDevs.times(1 + (avgDist * avgDist / 30));
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return estStdDevs;
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}
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// ----- Simulation
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public void simulationPeriodic(Pose2d robotSimPose) {
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visionSim.update(robotSimPose);
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}
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/** Reset pose history of the robot in the vision system simulation. */
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public void resetSimPose(Pose2d pose) {
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if (Robot.isSimulation()) visionSim.resetRobotPose(pose);
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}
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/** A Field2d for visualizing our robot and objects on the field. */
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public Field2d getSimDebugField() {
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if (!Robot.isSimulation()) return null;
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return visionSim.getDebugField();
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}
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}
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