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https://github.com/PhotonVision/photonvision
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Fix fallback for the multitag on rio pose strategy (#1755)
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@@ -286,8 +286,8 @@ public class PhotonPoseEstimator {
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* <li>No targets were found in the pipeline results.
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* </ul>
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*
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* Will report a warning if strategy is multi-tag-on-rio, but camera calibration data is not
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* provided
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* Will report a warning if strategy is multi-tag-on-rio because camera calibration data is not
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* provided in this overload.
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*
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* @param cameraResult The latest pipeline result from the camera
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* @return an {@link EstimatedRobotPose} with an estimated pose, timestamp, and targets used to
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@@ -341,6 +341,20 @@ public class PhotonPoseEstimator {
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return update(cameraResult, cameraMatrix, distCoeffs, this.primaryStrategy);
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}
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/**
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* Internal convenience method for using a fallback strategy for update(). This should only be
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* called after timestamp checks have been done by another update() overload.
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*
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* @param cameraResult The latest pipeline result from the camera
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* @param strategy The pose strategy to use
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* @return an {@link EstimatedRobotPose} with an estimated pose, timestamp, and targets used to
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* create the estimate.
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*/
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private Optional<EstimatedRobotPose> update(
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PhotonPipelineResult cameraResult, PoseStrategy strategy) {
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return update(cameraResult, Optional.empty(), Optional.empty(), strategy);
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}
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private Optional<EstimatedRobotPose> update(
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PhotonPipelineResult cameraResult,
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Optional<Matrix<N3, N3>> cameraMatrix,
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@@ -357,21 +371,8 @@ public class PhotonPoseEstimator {
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yield closestToReferencePoseStrategy(cameraResult, referencePose);
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}
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case AVERAGE_BEST_TARGETS -> averageBestTargetsStrategy(cameraResult);
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case MULTI_TAG_PNP_ON_RIO -> {
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if (cameraMatrix.isEmpty()) {
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DriverStation.reportWarning(
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"Camera matrix is empty for multi-tag-on-rio",
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Thread.currentThread().getStackTrace());
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yield Optional.empty();
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} else if (distCoeffs.isEmpty()) {
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DriverStation.reportWarning(
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"Camera matrix is empty for multi-tag-on-rio",
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Thread.currentThread().getStackTrace());
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yield Optional.empty();
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} else {
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yield multiTagOnRioStrategy(cameraResult, cameraMatrix, distCoeffs);
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}
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}
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case MULTI_TAG_PNP_ON_RIO ->
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multiTagOnRioStrategy(cameraResult, cameraMatrix, distCoeffs);
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case MULTI_TAG_PNP_ON_COPROCESSOR -> multiTagOnCoprocStrategy(cameraResult);
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};
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@@ -383,41 +384,44 @@ public class PhotonPoseEstimator {
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}
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private Optional<EstimatedRobotPose> multiTagOnCoprocStrategy(PhotonPipelineResult result) {
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if (result.getMultiTagResult().isPresent()) {
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var best_tf = result.getMultiTagResult().get().estimatedPose.best;
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var best =
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new Pose3d()
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.plus(best_tf) // field-to-camera
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.relativeTo(fieldTags.getOrigin())
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.plus(robotToCamera.inverse()); // field-to-robot
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return Optional.of(
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new EstimatedRobotPose(
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best,
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result.getTimestampSeconds(),
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result.getTargets(),
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PoseStrategy.MULTI_TAG_PNP_ON_COPROCESSOR));
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} else {
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// We can never fall back on another multitag strategy
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return update(result, Optional.empty(), Optional.empty(), this.multiTagFallbackStrategy);
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if (result.getMultiTagResult().isEmpty()) {
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return update(result, this.multiTagFallbackStrategy);
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}
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var best_tf = result.getMultiTagResult().get().estimatedPose.best;
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var best =
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new Pose3d()
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.plus(best_tf) // field-to-camera
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.relativeTo(fieldTags.getOrigin())
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.plus(robotToCamera.inverse()); // field-to-robot
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return Optional.of(
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new EstimatedRobotPose(
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best,
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result.getTimestampSeconds(),
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result.getTargets(),
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PoseStrategy.MULTI_TAG_PNP_ON_COPROCESSOR));
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}
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private Optional<EstimatedRobotPose> multiTagOnRioStrategy(
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PhotonPipelineResult result,
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Optional<Matrix<N3, N3>> cameraMatrixOpt,
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Optional<Matrix<N8, N1>> distCoeffsOpt) {
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boolean hasCalibData = cameraMatrixOpt.isPresent() && distCoeffsOpt.isPresent();
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// cannot run multitagPNP, use fallback strategy
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if (!hasCalibData || result.getTargets().size() < 2) {
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return update(result, cameraMatrixOpt, distCoeffsOpt, this.multiTagFallbackStrategy);
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if (cameraMatrixOpt.isEmpty() || distCoeffsOpt.isEmpty()) {
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DriverStation.reportWarning(
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"No camera calibration data provided for multi-tag-on-rio",
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Thread.currentThread().getStackTrace());
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return update(result, this.multiTagFallbackStrategy);
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}
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if (result.getTargets().size() < 2) {
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return update(result, this.multiTagFallbackStrategy);
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}
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var pnpResult =
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VisionEstimation.estimateCamPosePNP(
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cameraMatrixOpt.get(), distCoeffsOpt.get(), result.getTargets(), fieldTags, tagModel);
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// try fallback strategy if solvePNP fails for some reason
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if (!pnpResult.isPresent())
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return update(result, cameraMatrixOpt, distCoeffsOpt, this.multiTagFallbackStrategy);
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if (!pnpResult.isPresent()) return update(result, this.multiTagFallbackStrategy);
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var best =
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new Pose3d()
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.plus(pnpResult.get().best) // field-to-camera
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