Refactor the package into common, schema, detection, and tracking namespaces and move dataset-specific ActualTest utilities into tests/support.
Add a pluggable detection stack with typed protocols, pydantic-settings config, loguru-based runner logging, cvmmap and headless video sources, NATS and parquet sinks, and a structured coco-wholebody133 payload path.
Teach tracking replay loading to consume parquet detection directories directly, preserve empty frames, and keep the video-to-parquet-to-tracking workflow usable for offline E2E runs.
Vendor the local mmcv and xtcocotools wheels under Git LFS, update uv sources/lock state, and refresh the mmcv build so mmcv.ops loads successfully with the current torch+cu130 environment.
Set up pose_tracking_exp as a uv-managed Python package for offline multiview body tracking experiments.
This initial commit includes:
- the typed package scaffold, CLI entrypoints, and repo-local uv configuration
- scene and replay loaders for generic JSON replays and ActualTest parquet inputs
- ParaJumping payload conversion and RTMPose-to-body20 normalization
- a custom articulated tracker with tentative, active, and lost lifecycle handling
- RPT-backed proposal generation, camera convention handling, and multiview reprojection updates
- regression tests for normalization, camera conventions, ActualTest ingestion, seeding, and tracker smoke flows
- project documentation covering extrinsic formats and the ActualTest calibration caveat
crosstyan