Datasets:
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Download poses/README.md from CrocoSign/pjm-data: direct link, hf CLI and curl.
- Browser
- Download file 793 Bytes
-
https://huggingface.co/datasets/CrocoSign/pjm-data/resolve/main/poses/README.md
- Command line
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hf download hf://datasets/CrocoSign/pjm-data/poses/README.md
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curl -L -o README.md https://huggingface.co/datasets/CrocoSign/pjm-data/resolve/main/poses/README.md
793 Bytes
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).
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.