Datasets:
| # RTMPose keypoints, COCO-WholeBody 133 | |
| Whole-body keypoints of every PJM segment (39,813 of the 39,817; the 4 clips that could not be opened are | |
| listed in `crop_params/failed.csv`), as used to train the Uni-Sign models in `CrocoSign/pjm-models`. | |
| Extracted with RTMPose (rtmlib `Wholebody`) and stored in the COCO-WholeBody layout of 133 points, the | |
| layout the Uni-Sign code indexes. | |
| Shards `pose_coco133-NN.tar` unpack to `pose_coco133/{key}.pkl`, one pickle per clip key (the same keys as | |
| in `splits/`). Each pickle is a dict with `keypoints`, float64 of shape (frames, 1, 133, 2), and `scores`, | |
| float64 of shape (frames, 1, 133). | |
| ```bash | |
| for f in pose_coco133-*.tar; do tar -xf "$f"; done | |
| ``` | |
| Point Uni-Sign's `pose_dirs["PJM"]` (`config.py`) at the unpacked `pose_coco133/` directory. | |