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poses/README.md

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+# 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.

poses/pose_coco133-00.tar

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poses/pose_coco133-01.tar

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poses/pose_coco133-02.tar

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poses/pose_coco133-03.tar

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poses/pose_coco133-04.tar

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poses/pose_coco133-05.tar

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poses/pose_coco133-07.tar

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poses/pose_coco133-08.tar

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