# pose_tracking_exp Offline multiview body tracking experiments built around: - `RapidPoseTriangulation` for geometric birth proposals - a typed replay format for recorded per-camera detections - a recursive active/lost tracker with fixed bone lengths ## Install ```bash uv sync --group dev ``` ## Run ```bash uv run pose-tracking-exp run_tracking data/scene.json data/replay.jsonl ``` `scene.json` may declare camera extrinsics in either format: - `opencv_world_to_camera`: OpenCV `solvePnP` / `cv2.projectPoints` convention. This is the default. - `rpt_camera_pose`: camera pose in world coordinates, which is what `RapidPoseTriangulation` expects internally. The loader normalizes both to OpenCV extrinsics for reprojection and converts to RPT pose only when building the triangulation config. If you already have an older hand-authored scene file that stored RPT camera pose directly, set `extrinsic_format` explicitly to `rpt_camera_pose`. ## Convert cvmmap Pose Payload Records ```bash uv run pose-tracking-exp convert-cvmmap-pose input.jsonl output.jsonl ``` The current cvmmap `.pose` wire format is fixed to `COCO-WholeBody-133` keypoints. That is a transport compatibility constraint, not a tracker limitation: the tracker-side normalizer accepts both `coco17` and `coco_wholebody133`, because the first 17 body joints share the standard COCO ordering. References: - https://mmpose.readthedocs.io/en/latest/dataset_zoo/2d_wholebody_keypoint.html - https://github.com/jin-s13/COCO-WholeBody ## Run Detection ```bash uv sync --group dev --group detection uv run patch-mmdet-version-gate uv run pose-tracking-exp run_detection --config detection.toml camera0 camera1 uv run pose-tracking-exp run_detection --source video --output-dir data/detections --config detection.toml cam0=/data/cam0.mp4 cam1=/data/cam1.mp4 ``` The embedded 2D detection module is organized as a swapable shim: - `FrameSource`: where images come from - `PoseShim`: object detection + pose estimation backend - `PoseSink`: where structured detections are published or stored The default backend is `yolo_rtmpose`, and the heavy runtime dependencies live in the optional `detection` dependency group. Checkpoint paths are explicit config fields; the code does not hardcode local checkpoint locations. The only inferred path is the MMPose config path, which is resolved relative to the installed `mmpose` package when `pose_config_path` is omitted. For offline video runs, the default sink is parquet and writes one `*_detected.parquet` file per source. `run_tracking` can consume that directory directly as replay input. `uv run patch-mmdet-version-gate` is an idempotent local-environment patch for the current `mmdet` compatibility assert against the rebuilt `mmcv` wheel. Re-run it after `uv sync` if the environment is recreated. Example `detection.toml`: ```bash instances = ["camera0", "camera1"] device = "cuda" yolo_checkpoint = "/path/to/yolo_checkpoint.pt" pose_checkpoint = "/path/to/coco_wholebody_pose_checkpoint.pth" ``` ## Actual Test Helper ```bash uv run --group dev --group detection python -m tests.support.actual_test /mnt/hddl/data/ActualTest_WeiHua --segment Segment_2 --frame-start 1100 --max-frames 120 ``` `actual_test` is a test/support helper, not part of the public installed CLI surface. It keeps the union of per-camera frame indices and fills missing camera rows with empty detections, so later 2-camera stretches are still usable instead of being dropped by a 4-camera intersection. ## Actual Test Calibration Caveat `ActualTest_WeiHua/camera_params.parquet` appears to store raw OpenCV extrinsics from the ChArUco pipeline, not camera poses. The tracker now converts those values before calling `RapidPoseTriangulation`, because RPT expects camera centers and camera-to-world rotation. In repo terms: - OpenCV reprojection keeps `R`, `T`, and `rvec` as world-to-camera extrinsics. - RPT export uses the derived camera pose `pose_R = R^T` and `pose_T = -R^T t`. There is still one upstream caveat: the ParaJumping calibration notebook averages `rvec` samples component-wise before writing the parquet. That is a rough approximation for rotations and can introduce some bias even when the convention is handled correctly.