mirror of
https://github.com/PhotonVision/photonvision
synced 2026-06-19 00:41:41 +00:00
Use ReadQueue for PhotonCamera timestamps (#1316)
This removes the extra GetLastChange call to keep everything properly atomic. Closes #1303
This commit is contained in:
@@ -49,382 +49,50 @@
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namespace photon {
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class PhotonCameraSim {
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public:
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explicit PhotonCameraSim(PhotonCamera* camera)
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: PhotonCameraSim(camera, photon::SimCameraProperties::PERFECT_90DEG()) {}
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PhotonCameraSim(PhotonCamera* camera, const SimCameraProperties& props)
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: prop(props), cam(camera) {
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SetMinTargetAreaPixels(kDefaultMinAreaPx);
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videoSimRaw = frc::CameraServer::PutVideo(
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std::string{camera->GetCameraName()} + "-raw", prop.GetResWidth(),
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prop.GetResHeight());
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videoSimRaw.SetPixelFormat(cs::VideoMode::PixelFormat::kGray);
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videoSimProcessed = frc::CameraServer::PutVideo(
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std::string{camera->GetCameraName()} + "-processed", prop.GetResWidth(),
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prop.GetResHeight());
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ts.subTable = cam->GetCameraTable();
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ts.UpdateEntries();
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}
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explicit PhotonCameraSim(PhotonCamera* camera);
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PhotonCameraSim(PhotonCamera* camera, const SimCameraProperties& props);
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PhotonCameraSim(PhotonCamera* camera, const SimCameraProperties& props,
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double minTargetAreaPercent, units::meter_t maxSightRange)
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: PhotonCameraSim(camera, props) {
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this->minTargetAreaPercent = minTargetAreaPercent;
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this->maxSightRange = maxSightRange;
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}
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PhotonCamera* GetCamera() { return cam; }
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double GetMinTargetAreaPercent() { return minTargetAreaPercent; }
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double GetMinTargetAreaPixels() {
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double minTargetAreaPercent, units::meter_t maxSightRange);
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inline PhotonCamera* GetCamera() { return cam; }
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inline double GetMinTargetAreaPercent() { return minTargetAreaPercent; }
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inline double GetMinTargetAreaPixels() {
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return minTargetAreaPercent / 100.0 * prop.GetResArea();
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}
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units::meter_t GetMaxSightRange() { return maxSightRange; }
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const cs::CvSource& GetVideoSimRaw() { return videoSimRaw; }
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const cv::Mat& GetVideoSimFrameRaw() { return videoSimFrameRaw; }
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inline units::meter_t GetMaxSightRange() { return maxSightRange; }
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inline const cs::CvSource& GetVideoSimRaw() { return videoSimRaw; }
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inline const cv::Mat& GetVideoSimFrameRaw() { return videoSimFrameRaw; }
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bool CanSeeTargetPose(const frc::Pose3d& camPose,
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const VisionTargetSim& target) {
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CameraTargetRelation rel{camPose, target.GetPose()};
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return ((units::math::abs(rel.camToTargYaw.Degrees()) <
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prop.GetHorizFOV().Degrees() / 2.0) &&
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(units::math::abs(rel.camToTargPitch.Degrees()) <
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prop.GetVertFOV().Degrees() / 2.0) &&
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(!target.GetModel().GetIsPlanar() ||
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units::math::abs(rel.targToCamAngle.Degrees()) < 90_deg) &&
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(rel.camToTarg.Translation().Norm() <= maxSightRange));
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}
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bool CanSeeCorner(const std::vector<cv::Point2f>& points) {
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for (const auto& pt : points) {
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if (std::clamp<float>(pt.x, 0, prop.GetResWidth()) != pt.x ||
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std::clamp<float>(pt.y, 0, prop.GetResHeight()) != pt.y) {
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return false;
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}
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}
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return true;
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}
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std::optional<uint64_t> ConsumeNextEntryTime() {
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uint64_t now = wpi::Now();
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uint64_t timestamp{};
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int iter = 0;
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while (now >= nextNTEntryTime) {
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timestamp = nextNTEntryTime;
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uint64_t frameTime = prop.EstSecUntilNextFrame()
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.convert<units::microseconds>()
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.to<uint64_t>();
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nextNTEntryTime += frameTime;
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const VisionTargetSim& target);
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bool CanSeeCorner(const std::vector<cv::Point2f>& points);
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std::optional<uint64_t> ConsumeNextEntryTime();
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if (iter++ > 50) {
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timestamp = now;
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nextNTEntryTime = now + frameTime;
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break;
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}
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}
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if (timestamp != 0) {
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return timestamp;
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} else {
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return std::nullopt;
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}
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}
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void SetMinTargetAreaPercent(double areaPercent) {
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inline void SetMinTargetAreaPercent(double areaPercent) {
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minTargetAreaPercent = areaPercent;
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}
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void SetMinTargetAreaPixels(double areaPx) {
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inline void SetMinTargetAreaPixels(double areaPx) {
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minTargetAreaPercent = areaPx / prop.GetResArea() * 100;
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}
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void SetMaxSightRange(units::meter_t range) { maxSightRange = range; }
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void EnableRawStream(bool enabled) { videoSimRawEnabled = enabled; }
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void EnableDrawWireframe(bool enabled) { videoSimWireframeEnabled = enabled; }
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void SetWireframeResolution(double resolution) {
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inline void SetMaxSightRange(units::meter_t range) { maxSightRange = range; }
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inline void EnableRawStream(bool enabled) { videoSimRawEnabled = enabled; }
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inline void EnableDrawWireframe(bool enabled) {
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videoSimWireframeEnabled = enabled;
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}
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inline void SetWireframeResolution(double resolution) {
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videoSimWireframeResolution = resolution;
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}
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void EnabledProcessedStream(double enabled) { videoSimProcEnabled = enabled; }
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inline void EnabledProcessedStream(double enabled) {
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videoSimProcEnabled = enabled;
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}
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PhotonPipelineResult Process(units::second_t latency,
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const frc::Pose3d& cameraPose,
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std::vector<VisionTargetSim> targets) {
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std::sort(
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targets.begin(), targets.end(),
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[cameraPose](const VisionTargetSim& t1, const VisionTargetSim& t2) {
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units::meter_t dist1 =
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t1.GetPose().Translation().Distance(cameraPose.Translation());
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units::meter_t dist2 =
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t2.GetPose().Translation().Distance(cameraPose.Translation());
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return dist1 > dist2;
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});
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std::vector<VisionTargetSim> targets);
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std::vector<std::pair<VisionTargetSim, std::vector<cv::Point2f>>>
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visibleTgts{};
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std::vector<PhotonTrackedTarget> detectableTgts{};
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RotTrlTransform3d camRt = RotTrlTransform3d::MakeRelativeTo(cameraPose);
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VideoSimUtil::UpdateVideoProp(videoSimRaw, prop);
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VideoSimUtil::UpdateVideoProp(videoSimProcessed, prop);
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cv::Size videoFrameSize{prop.GetResWidth(), prop.GetResHeight()};
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cv::Mat blankFrame = cv::Mat::zeros(videoFrameSize, CV_8UC1);
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blankFrame.assignTo(videoSimFrameRaw);
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for (const auto& tgt : targets) {
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if (!CanSeeTargetPose(cameraPose, tgt)) {
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continue;
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}
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std::vector<frc::Translation3d> fieldCorners = tgt.GetFieldVertices();
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if (tgt.GetModel().GetIsSpherical()) {
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TargetModel model = tgt.GetModel();
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fieldCorners = model.GetFieldVertices(TargetModel::GetOrientedPose(
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tgt.GetPose().Translation(), cameraPose.Translation()));
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}
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std::vector<cv::Point2f> imagePoints = OpenCVHelp::ProjectPoints(
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prop.GetIntrinsics(), prop.GetDistCoeffs(), camRt, fieldCorners);
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if (tgt.GetModel().GetIsSpherical()) {
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cv::Point2d center = OpenCVHelp::AvgPoint(imagePoints);
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int l = 0;
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int t = 0;
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int b = 0;
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int r = 0;
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for (int i = 0; i < 4; i++) {
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if (imagePoints[i].x < imagePoints[l].x) {
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l = i;
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}
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}
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cv::Point2d lc = imagePoints[l];
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std::array<double, 4> angles{};
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t = (l + 1) % 4;
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b = (l + 1) % 4;
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for (int i = 0; i < 4; i++) {
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if (i == l) {
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continue;
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}
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cv::Point2d ic = imagePoints[i];
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angles[i] = std::atan2(lc.y - ic.y, ic.x - lc.x);
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if (angles[i] >= angles[t]) {
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t = i;
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}
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if (angles[i] <= angles[b]) {
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b = i;
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}
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}
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for (int i = 0; i < 4; i++) {
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if (i != t && i != l && i != b) {
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r = i;
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}
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}
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cv::RotatedRect rect{
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cv::Point2d{center.x, center.y},
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cv::Size2d{imagePoints[r].x - lc.x,
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imagePoints[b].y - imagePoints[t].y},
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units::radian_t{-angles[r]}.convert<units::degrees>().to<float>()};
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std::vector<cv::Point2f> points{};
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rect.points(points);
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// Can't find an easier way to convert from Point2f to Point2d
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imagePoints.clear();
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std::transform(points.begin(), points.end(),
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std::back_inserter(imagePoints),
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[](const cv::Point2f& p) { return (cv::Point2d)p; });
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}
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visibleTgts.emplace_back(std::make_pair(tgt, imagePoints));
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std::vector<cv::Point2f> noisyTargetCorners =
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prop.EstPixelNoise(imagePoints);
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cv::RotatedRect minAreaRect =
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OpenCVHelp::GetMinAreaRect(noisyTargetCorners);
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std::vector<cv::Point2f> minAreaRectPts;
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minAreaRectPts.reserve(4);
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minAreaRect.points(minAreaRectPts);
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cv::Point2d centerPt = minAreaRect.center;
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frc::Rotation3d centerRot = prop.GetPixelRot(centerPt);
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double areaPercent = prop.GetContourAreaPercent(noisyTargetCorners);
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if (!(CanSeeCorner(noisyTargetCorners) &&
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areaPercent >= minTargetAreaPercent)) {
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continue;
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}
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PNPResult pnpSim{};
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if (tgt.fiducialId >= 0 && tgt.GetFieldVertices().size() == 4) {
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pnpSim = OpenCVHelp::SolvePNP_Square(
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prop.GetIntrinsics(), prop.GetDistCoeffs(),
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tgt.GetModel().GetVertices(), noisyTargetCorners);
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}
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std::vector<std::pair<float, float>> tempCorners =
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OpenCVHelp::PointsToCorners(minAreaRectPts);
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wpi::SmallVector<std::pair<double, double>, 4> smallVec;
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for (const auto& corner : tempCorners) {
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smallVec.emplace_back(
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std::make_pair(static_cast<double>(corner.first),
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static_cast<double>(corner.second)));
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}
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std::vector<std::pair<float, float>> cornersFloat =
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OpenCVHelp::PointsToCorners(noisyTargetCorners);
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std::vector<std::pair<double, double>> cornersDouble{cornersFloat.begin(),
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cornersFloat.end()};
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detectableTgts.emplace_back(PhotonTrackedTarget{
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-centerRot.Z().convert<units::degrees>().to<double>(),
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-centerRot.Y().convert<units::degrees>().to<double>(), areaPercent,
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centerRot.X().convert<units::degrees>().to<double>(), tgt.fiducialId,
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-1, -1, pnpSim.best, pnpSim.alt, pnpSim.ambiguity, smallVec,
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cornersDouble});
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}
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if (videoSimRawEnabled) {
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if (videoSimWireframeEnabled) {
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VideoSimUtil::DrawFieldWireFrame(
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camRt, prop, videoSimWireframeResolution, 1.5, cv::Scalar{80}, 6, 1,
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cv::Scalar{30}, videoSimFrameRaw);
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}
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for (const auto& pair : visibleTgts) {
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VisionTargetSim tgt = pair.first;
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std::vector<cv::Point2f> corners = pair.second;
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if (tgt.fiducialId > 0) {
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VideoSimUtil::Warp165h5TagImage(tgt.fiducialId, corners, true,
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videoSimFrameRaw);
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} else if (!tgt.GetModel().GetIsSpherical()) {
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std::vector<cv::Point2f> contour = corners;
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if (!tgt.GetModel().GetIsPlanar()) {
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contour = OpenCVHelp::GetConvexHull(contour);
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}
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VideoSimUtil::DrawPoly(contour, -1, cv::Scalar{255}, true,
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videoSimFrameRaw);
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} else {
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VideoSimUtil::DrawInscribedEllipse(corners, cv::Scalar{255},
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videoSimFrameRaw);
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}
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}
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videoSimRaw.PutFrame(videoSimFrameRaw);
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} else {
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videoSimRaw.SetConnectionStrategy(
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cs::VideoSource::ConnectionStrategy::kConnectionForceClose);
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}
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if (videoSimProcEnabled) {
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cv::cvtColor(videoSimFrameRaw, videoSimFrameProcessed,
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cv::COLOR_GRAY2BGR);
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cv::drawMarker(
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videoSimFrameProcessed,
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cv::Point2d{prop.GetResWidth() / 2.0, prop.GetResHeight() / 2.0},
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cv::Scalar{0, 255, 0}, cv::MARKER_CROSS,
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static_cast<int>(
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VideoSimUtil::GetScaledThickness(15, videoSimFrameProcessed)),
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static_cast<int>(
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VideoSimUtil::GetScaledThickness(1, videoSimFrameProcessed)),
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cv::LINE_AA);
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for (const auto& tgt : detectableTgts) {
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auto detectedCornersDouble = tgt.GetDetectedCorners();
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std::vector<std::pair<float, float>> detectedCornerFloat{
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detectedCornersDouble.begin(), detectedCornersDouble.end()};
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if (tgt.GetFiducialId() >= 0) {
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VideoSimUtil::DrawTagDetection(
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tgt.GetFiducialId(),
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OpenCVHelp::CornersToPoints(detectedCornerFloat),
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videoSimFrameProcessed);
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} else {
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cv::rectangle(videoSimFrameProcessed,
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OpenCVHelp::GetBoundingRect(
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OpenCVHelp::CornersToPoints(detectedCornerFloat)),
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cv::Scalar{0, 0, 255},
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static_cast<int>(VideoSimUtil::GetScaledThickness(
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1, videoSimFrameProcessed)),
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cv::LINE_AA);
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wpi::SmallVector<std::pair<double, double>, 4> smallVec =
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tgt.GetMinAreaRectCorners();
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std::vector<std::pair<float, float>> cornersCopy{};
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cornersCopy.reserve(4);
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for (const auto& corner : smallVec) {
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cornersCopy.emplace_back(
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std::make_pair(static_cast<float>(corner.first),
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static_cast<float>(corner.second)));
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}
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VideoSimUtil::DrawPoly(
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OpenCVHelp::CornersToPoints(cornersCopy),
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static_cast<int>(
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VideoSimUtil::GetScaledThickness(1, videoSimFrameProcessed)),
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cv::Scalar{255, 30, 30}, true, videoSimFrameProcessed);
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}
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}
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videoSimProcessed.PutFrame(videoSimFrameProcessed);
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} else {
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videoSimProcessed.SetConnectionStrategy(
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cs::VideoSource::ConnectionStrategy::kConnectionForceClose);
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}
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MultiTargetPNPResult multiTagResults{};
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std::vector<frc::AprilTag> visibleLayoutTags =
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VisionEstimation::GetVisibleLayoutTags(detectableTgts, tagLayout);
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if (visibleLayoutTags.size() > 1) {
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wpi::SmallVector<int16_t, 32> usedIds{};
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std::transform(visibleLayoutTags.begin(), visibleLayoutTags.end(),
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usedIds.begin(),
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[](const frc::AprilTag& tag) { return tag.ID; });
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std::sort(usedIds.begin(), usedIds.end());
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PNPResult pnpResult = VisionEstimation::EstimateCamPosePNP(
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prop.GetIntrinsics(), prop.GetDistCoeffs(), detectableTgts, tagLayout,
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kAprilTag36h11);
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multiTagResults = MultiTargetPNPResult{pnpResult, usedIds};
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}
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units::second_t now = frc::Timer::GetFPGATimestamp();
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return PhotonPipelineResult{heartbeatCounter, now - latency, now,
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detectableTgts, multiTagResults};
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}
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void SubmitProcessedFrame(const PhotonPipelineResult& result) {
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SubmitProcessedFrame(result, wpi::Now());
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}
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void SubmitProcessedFrame(const PhotonPipelineResult& result);
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void SubmitProcessedFrame(const PhotonPipelineResult& result,
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uint64_t recieveTimestamp) {
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ts.latencyMillisEntry.Set(
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result.GetLatency().convert<units::milliseconds>().to<double>(),
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recieveTimestamp);
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uint64_t recieveTimestamp);
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Packet newPacket{};
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newPacket << result;
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ts.rawBytesEntry.Set(newPacket.GetData(), recieveTimestamp);
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bool hasTargets = result.HasTargets();
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ts.hasTargetEntry.Set(hasTargets, recieveTimestamp);
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if (!hasTargets) {
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ts.targetPitchEntry.Set(0.0, recieveTimestamp);
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ts.targetYawEntry.Set(0.0, recieveTimestamp);
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ts.targetAreaEntry.Set(0.0, recieveTimestamp);
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std::array<double, 3> poseData{0.0, 0.0, 0.0};
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ts.targetPoseEntry.Set(poseData, recieveTimestamp);
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ts.targetSkewEntry.Set(0.0, recieveTimestamp);
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} else {
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PhotonTrackedTarget bestTarget = result.GetBestTarget();
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ts.targetPitchEntry.Set(bestTarget.GetPitch(), recieveTimestamp);
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ts.targetYawEntry.Set(bestTarget.GetYaw(), recieveTimestamp);
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ts.targetAreaEntry.Set(bestTarget.GetArea(), recieveTimestamp);
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ts.targetSkewEntry.Set(bestTarget.GetSkew(), recieveTimestamp);
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frc::Transform3d transform = bestTarget.GetBestCameraToTarget();
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std::array<double, 4> poseData{
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transform.X().to<double>(), transform.Y().to<double>(),
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transform.Rotation().ToRotation2d().Degrees().to<double>()};
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ts.targetPoseEntry.Set(poseData, recieveTimestamp);
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}
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auto intrinsics = prop.GetIntrinsics();
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std::vector<double> intrinsicsView{intrinsics.data(),
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intrinsics.data() + intrinsics.size()};
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ts.cameraIntrinsicsPublisher.Set(intrinsicsView, recieveTimestamp);
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auto distortion = prop.GetDistCoeffs();
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std::vector<double> distortionView{distortion.data(),
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distortion.data() + distortion.size()};
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ts.cameraDistortionPublisher.Set(distortionView, recieveTimestamp);
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ts.heartbeatPublisher.Set(heartbeatCounter++, recieveTimestamp);
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}
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SimCameraProperties prop;
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private:
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