---
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](https://github.com/phongdaot/MocapAnything) 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.

- 💻 Code: [github.com/phongdaot/MocapAnything](https://github.com/phongdaot/MocapAnything)
- 🏋️ Weights: [kehong/MoCapAnythingV2-weights](https://huggingface.co/kehong/MoCapAnythingV2-weights)

## 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

```bash
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.