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https://github.com/PhotonVision/photonvision
synced 2026-06-26 01:51:40 +00:00
Add Constrained PNP Pose Strategies to C++ photonlib (#1908)
This adds the two missing pose strategies from the java version of photonlib (Constrained PNP and the Trig solve), to C++ photonlib --------- Co-authored-by: Matthew Morley <matthew.morley.ca@gmail.com>
This commit is contained in:
@@ -49,6 +49,8 @@
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#include <units/time.h>
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#include "photon/PhotonCamera.h"
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#include "photon/estimation/TargetModel.h"
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#include "photon/estimation/VisionEstimation.h"
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#include "photon/targeting/PhotonPipelineResult.h"
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#include "photon/targeting/PhotonTrackedTarget.h"
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@@ -99,7 +101,8 @@ void PhotonPoseEstimator::SetMultiTagFallbackStrategy(PoseStrategy strategy) {
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std::optional<EstimatedRobotPose> PhotonPoseEstimator::Update(
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const PhotonPipelineResult& result,
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std::optional<PhotonCamera::CameraMatrix> cameraMatrixData,
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std::optional<PhotonCamera::DistortionMatrix> cameraDistCoeffs) {
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std::optional<PhotonCamera::DistortionMatrix> cameraDistCoeffs,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams) {
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// Time in the past -- give up, since the following if expects times > 0
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if (result.GetTimestamp() < 0_s) {
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FRC_ReportError(frc::warn::Warning,
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@@ -122,13 +125,15 @@ std::optional<EstimatedRobotPose> PhotonPoseEstimator::Update(
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return std::nullopt;
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}
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return Update(result, cameraMatrixData, cameraDistCoeffs, this->strategy);
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return Update(result, cameraMatrixData, cameraDistCoeffs,
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constrainedPnpParams, this->strategy);
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}
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std::optional<EstimatedRobotPose> PhotonPoseEstimator::Update(
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const PhotonPipelineResult& result,
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std::optional<PhotonCamera::CameraMatrix> cameraMatrixData,
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std::optional<PhotonCamera::DistortionMatrix> cameraDistCoeffs,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams,
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PoseStrategy strategy) {
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std::optional<EstimatedRobotPose> ret = std::nullopt;
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@@ -161,6 +166,10 @@ std::optional<EstimatedRobotPose> PhotonPoseEstimator::Update(
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"");
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}
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break;
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case CONSTRAINED_SOLVEPNP:
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ret = ConstrainedPnpStrategy(result, cameraMatrixData, cameraDistCoeffs,
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constrainedPnpParams);
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break;
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case PNP_DISTANCE_TRIG_SOLVE:
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ret = PnpDistanceTrigSolveStrategy(result);
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break;
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@@ -527,4 +536,74 @@ PhotonPoseEstimator::AverageBestTargetsStrategy(PhotonPipelineResult result) {
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result.GetTimestamp(), result.GetTargets(),
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AVERAGE_BEST_TARGETS};
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}
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std::optional<EstimatedRobotPose> PhotonPoseEstimator::ConstrainedPnpStrategy(
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photon::PhotonPipelineResult result,
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std::optional<photon::PhotonCamera::CameraMatrix> camMat,
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std::optional<photon::PhotonCamera::DistortionMatrix> distCoeffs,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams) {
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using namespace frc;
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if (!camMat || !distCoeffs) {
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FRC_ReportError(frc::warn::Warning,
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"No camera calibration data provided to "
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"StrPoseEstimator::MultiTagOnRioStrategy!",
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"");
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return Update(result, this->multiTagFallbackStrategy);
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}
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if (!constrainedPnpParams) {
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return {};
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}
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if (!constrainedPnpParams->headingFree &&
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!headingBuffer.Sample(result.GetTimestamp()).has_value()) {
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return Update(result, camMat, distCoeffs, {},
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this->multiTagFallbackStrategy);
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}
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frc::Pose3d fieldToRobotSeed;
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if (result.MultiTagResult().has_value()) {
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fieldToRobotSeed =
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frc::Pose3d{} + (result.MultiTagResult()->estimatedPose.best +
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m_robotToCamera.Inverse());
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} else {
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std::optional<EstimatedRobotPose> nestedUpdate =
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Update(result, camMat, distCoeffs, {}, this->multiTagFallbackStrategy);
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if (!nestedUpdate.has_value()) {
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return {};
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}
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fieldToRobotSeed = nestedUpdate->estimatedPose;
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}
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if (!constrainedPnpParams.value().headingFree) {
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fieldToRobotSeed = frc::Pose3d{
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fieldToRobotSeed.Translation(),
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frc::Rotation3d{headingBuffer.Sample(result.GetTimestamp()).value()}};
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}
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std::vector<photon::PhotonTrackedTarget> targets{result.GetTargets().begin(),
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result.GetTargets().end()};
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std::optional<photon::PnpResult> pnpResult =
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VisionEstimation::EstimateRobotPoseConstrainedSolvePNP(
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camMat.value(), distCoeffs.value(), targets, m_robotToCamera,
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fieldToRobotSeed, aprilTags, photon::kAprilTag36h11,
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constrainedPnpParams->headingFree,
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frc::Rotation2d{headingBuffer.Sample(result.GetTimestamp()).value()},
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constrainedPnpParams->headingScalingFactor);
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if (!pnpResult) {
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return Update(result, camMat, distCoeffs, {},
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this->multiTagFallbackStrategy);
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}
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frc::Pose3d best = frc::Pose3d{} + pnpResult->best;
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return EstimatedRobotPose{best, result.GetTimestamp(), result.GetTargets(),
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PoseStrategy::CONSTRAINED_SOLVEPNP};
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}
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} // namespace photon
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@@ -28,6 +28,7 @@
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#include <frc/apriltag/AprilTagFieldLayout.h>
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#include <frc/geometry/Pose3d.h>
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#include <frc/geometry/Rotation3d.h>
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#include <frc/geometry/Transform3d.h>
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#include <frc/interpolation/TimeInterpolatableBuffer.h>
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#include <opencv2/core/mat.hpp>
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@@ -48,7 +49,13 @@ enum PoseStrategy {
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AVERAGE_BEST_TARGETS,
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MULTI_TAG_PNP_ON_COPROCESSOR,
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MULTI_TAG_PNP_ON_RIO,
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PNP_DISTANCE_TRIG_SOLVE,
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CONSTRAINED_SOLVEPNP,
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PNP_DISTANCE_TRIG_SOLVE
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};
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struct ConstrainedSolvepnpParams {
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bool headingFree{false};
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double headingScalingFactor{0.0};
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};
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struct EstimatedRobotPose {
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@@ -239,11 +246,16 @@ class PhotonPoseEstimator {
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* Only required if doing multitag-on-rio, and may be nullopt otherwise.
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* @param distCoeffsData The camera calibration distortion coefficients. Only
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* required if doing multitag-on-rio, and may be nullopt otherwise.
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* @param constrainedPnpParams Constrained SolvePNP params, if needed.
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*/
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std::optional<EstimatedRobotPose> Update(
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const PhotonPipelineResult& result,
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std::optional<PhotonCamera::CameraMatrix> cameraMatrixData = std::nullopt,
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std::optional<PhotonCamera::DistortionMatrix> coeffsData = std::nullopt);
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const photon::PhotonPipelineResult& result,
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std::optional<photon::PhotonCamera::CameraMatrix> cameraMatrixData =
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std::nullopt,
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std::optional<photon::PhotonCamera::DistortionMatrix> coeffsData =
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std::nullopt,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams =
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std::nullopt);
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private:
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frc::AprilTagFieldLayout aprilTags;
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@@ -275,13 +287,14 @@ class PhotonPoseEstimator {
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*/
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std::optional<EstimatedRobotPose> Update(const PhotonPipelineResult& result,
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PoseStrategy strategy) {
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return Update(result, std::nullopt, std::nullopt, strategy);
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return Update(result, std::nullopt, std::nullopt, std::nullopt, strategy);
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}
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std::optional<EstimatedRobotPose> Update(
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const PhotonPipelineResult& result,
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std::optional<PhotonCamera::CameraMatrix> cameraMatrixData,
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std::optional<PhotonCamera::DistortionMatrix> coeffsData,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams,
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PoseStrategy strategy);
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/**
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@@ -355,6 +368,12 @@ class PhotonPoseEstimator {
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*/
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std::optional<EstimatedRobotPose> AverageBestTargetsStrategy(
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PhotonPipelineResult result);
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std::optional<EstimatedRobotPose> ConstrainedPnpStrategy(
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photon::PhotonPipelineResult result,
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std::optional<photon::PhotonCamera::CameraMatrix> camMat,
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std::optional<photon::PhotonCamera::DistortionMatrix> distCoeffs,
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std::optional<ConstrainedSolvepnpParams> constrainedPnpParams);
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};
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} // namespace photon
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@@ -40,6 +40,7 @@
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#include "photon/dataflow/structures/Packet.h"
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#include "photon/simulation/PhotonCameraSim.h"
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#include "photon/simulation/SimCameraProperties.h"
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#include "photon/simulation/VisionTargetSim.h"
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#include "photon/targeting/MultiTargetPNPResult.h"
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#include "photon/targeting/PhotonPipelineResult.h"
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#include "photon/targeting/PhotonTrackedTarget.h"
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@@ -583,3 +584,76 @@ TEST(PhotonPoseEstimatorTest, CopyResult) {
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EXPECT_NEAR(testResult.GetTimestamp().to<double>(),
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test2.GetTimestamp().to<double>(), 0.001);
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}
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TEST(PhotonPoseEstimatorTest, ConstrainedPnpEmptyCase) {
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photon::PhotonPoseEstimator estimator(
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frc::AprilTagFieldLayout::LoadField(frc::AprilTagField::k2024Crescendo),
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photon::CONSTRAINED_SOLVEPNP, frc::Transform3d());
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photon::PhotonPipelineResult result;
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auto estimate = estimator.Update(result);
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EXPECT_FALSE(estimate.has_value());
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}
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TEST(PhotonPoseEstimatorTest, ConstrainedPnpOneTag) {
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photon::PhotonCamera cameraOne = photon::PhotonCamera("test");
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auto distortion = Eigen::VectorXd::Zero(8);
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auto cameraMat = Eigen::Matrix3d{{399.37500000000006, 0, 319.5},
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{0, 399.16666666666674, 239.5},
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{0, 0, 1}};
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// Create corners data matching the Java test
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std::vector<photon::TargetCorner> corners8{
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photon::TargetCorner{98.09875447066685, 331.0093220119495},
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photon::TargetCorner{122.20226758624413, 335.50083894738486},
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photon::TargetCorner{127.17118732489361, 313.81406314178633},
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photon::TargetCorner{104.28543773760417, 309.6516557438994}};
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frc::Transform3d poseTransform(
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frc::Translation3d(3.1665557336121353_m, 4.430673446050584_m,
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0.48678786477534686_m),
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frc::Rotation3d(frc::Quaternion(0.3132532247418243, 0.24722671090692333,
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-0.08413452932300695,
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0.9130568172784148)));
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std::vector<photon::PhotonTrackedTarget> targets{
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photon::PhotonTrackedTarget{0.0, 0.0, 0.0, 0.0, 8, 0, 0.0f, poseTransform,
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poseTransform, 0.0, corners8, corners8}};
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auto multiTagResult = std::make_optional<photon::MultiTargetPNPResult>(
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photon::PnpResult{poseTransform, poseTransform, 0.1, 0.1, 0.0},
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std::vector<int16_t>{8});
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photon::PhotonPipelineResult result{
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photon::PhotonPipelineMetadata{1, 10000, 2000, 100}, targets,
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multiTagResult};
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cameraOne.test = true;
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cameraOne.testResult = {result};
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cameraOne.testResult[0].SetReceiveTimestamp(units::second_t(15));
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const units::radian_t camPitch = 30_deg;
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const frc::Transform3d kRobotToCam{frc::Translation3d(0.5_m, 0.0_m, 0.5_m),
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frc::Rotation3d(0_rad, -camPitch, 0_rad)};
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photon::PhotonPoseEstimator estimator(
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frc::AprilTagFieldLayout::LoadField(frc::AprilTagField::k2024Crescendo),
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photon::CONSTRAINED_SOLVEPNP, kRobotToCam);
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estimator.AddHeadingData(cameraOne.testResult[0].GetTimestamp(),
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frc::Rotation2d());
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auto estimatedPose =
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estimator.Update(cameraOne.testResult[0], cameraMat, distortion,
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photon::ConstrainedSolvepnpParams{true, 0});
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ASSERT_TRUE(estimatedPose.has_value());
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frc::Pose3d pose = estimatedPose.value().estimatedPose;
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EXPECT_NEAR(3.58, units::unit_cast<double>(pose.X()), 0.01);
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EXPECT_NEAR(4.13, units::unit_cast<double>(pose.Y()), 0.01);
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EXPECT_NEAR(0.0, units::unit_cast<double>(pose.Z()), 0.01);
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EXPECT_EQ(photon::CONSTRAINED_SOLVEPNP, estimatedPose.value().strategy);
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}
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