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metadata
license: other
license_name: sample-data
license_details: >-
  Small demo sample for research use; source assets retain their original
  licenses.
task_categories:
  - video-classification
tags:
  - motion-capture
  - animation
  - bvh
  - animals
  - demo
pretty_name: MoCapAnything V2 Demo Data
size_categories:
  - n<1K

MoCapAnything V2 — Demo Data (sample)

The mini dataset that powers the MoCapAnything V2 demo: example input videos, per-species 1-frame reference features, character meshes with skinning for rendering, and reference outputs to compare against. Download it into ./demo/data of the code repo and the bundled examples run out of the box.

Contents

Folder What's inside
inputs/ Example videos: in-the-wild animals, rendered zoo clips, objects, dance clips (with audio)
zoo1030/ Mini animal subset: 1-frame reference features (bvh_pose/, npz_train_image_only/), reference BVHs, character meshes + skinning (characters_fix_facezplus/), reference images (front & side views)
obj1k/ Mini object subset with the same layout (characters/)
expected_results/ Reference *_final.mp4 outputs for the wild / zoo / obj examples — what a successful run should look like

The reference features ship only frame 0 of each reference sequence (all the demo needs at inference — verified bit-identical to using the full features), which keeps this download small.

Usage

git clone https://github.com/phongdaot/MocapAnything.git && cd MocapAnything
hf download kehong/MoCapAnythingV2-data-sample --repo-type dataset --local-dir ./demo/data
hf download kehong/MoCapAnythingV2-weights --local-dir ./checkpoints

python inference/video2pose2rot.py --config demo/configs/demo_wild.yaml   # then compare with expected_results/
python demo/app.py                                                        # interactive demo

Notes

  • This is a small demo sample intended to make the code runnable end-to-end; the full training datasets are a separate (future) release.
  • Wild examples whose species has no reference in this mini subset are skipped with a warning — they unlock with the full dataset.