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yizequan110
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MoCapAnythingV2-data-sample

Tasks:
Video Classification
Size:
n<1K
Tags:
motion-capture
animation
bvh
animals
demo
License:
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yizequan110 kehong commited on
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Duplicate from kehong/MoCapAnythingV2-data-sample

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Co-authored-by: Gongkehong <kehong@users.noreply.huggingface.co>

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  2. README.md +50 -0
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  10. expected_results/wild/Eagle#Eagle_Act2_final.mp4 +3 -0
  11. expected_results/wild/Jaguar#Jaguar_Act2_final.mp4 +3 -0
  12. expected_results/wild/Leapord#Leapord_Act4_final.mp4 +3 -0
  13. expected_results/zoo/Dog-2#DOG-SwimIdle_y30_final.mp4 +3 -0
  14. expected_results/zoo/Eagle#Eagle-Landing_y15_final.mp4 +3 -0
  15. expected_results/zoo/Hamster#Hamster-RollAttack_y60_final.mp4 +3 -0
  16. expected_results/zoo/Horse#HorseALL-FeetUp_y30_final.mp4 +3 -0
  17. expected_results/zoo/Jaguar#Jaguar-Run_y60_final.mp4 +3 -0
  18. inputs/dance/eva_jiesuan.mp4 +3 -0
  19. inputs/dance/n2.mp4 +3 -0
  20. inputs/dance/trap.mp4 +3 -0
  21. inputs/nbg_human/Little_Apple.mp4 +3 -0
  22. inputs/nbg_human/eva_jiesuan.mp4 +3 -0
  23. inputs/nbg_human/gt.mp4 +3 -0
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  25. inputs/nbg_human/wulin2.mp4 +3 -0
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  32. inputs/nbg_wild/Bear#Bear_Act0.mp4 +3 -0
  33. inputs/nbg_wild/Buffalo#Buffalo-Act0.mp4 +3 -0
  34. inputs/nbg_wild/Camel#Camel-Act2.mp4 +3 -0
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  36. inputs/nbg_wild/Cat#Cat_Act1.mp4 +3 -0
  37. inputs/nbg_wild/Cat#Cat_Act2.mp4 +3 -0
  38. inputs/nbg_wild/Chicken#Chicken_Act2.mp4 +3 -0
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  47. inputs/nbg_wild/Leapord#Leapord_Act3.mp4 +3 -0
  48. inputs/nbg_wild/Leapord#Leapord_Act4.mp4 +3 -0
  49. inputs/nbg_wild/Lion#Lion_Act1.mp4 +3 -0
  50. inputs/nbg_wild/Lion#Lion_Act2.mp4 +3 -0
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lz4 filter=lfs diff=lfs merge=lfs -text
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+ *.mds filter=lfs diff=lfs merge=lfs -text
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+ *.mlmodel filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ *.safetensors filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - uncompressed
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+ *.raw filter=lfs diff=lfs merge=lfs -text
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+ # Audio files - compressed
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+ *.jpeg filter=lfs diff=lfs merge=lfs -text
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+ *.webp filter=lfs diff=lfs merge=lfs -text
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+ # Video files - compressed
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README.md ADDED
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+ ---
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+ license: other
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+ license_name: sample-data
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+ license_details: Small demo sample for research use; source assets retain their original licenses.
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+ task_categories:
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+ - video-classification
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+ tags:
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+ - motion-capture
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+ - animation
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+ - bvh
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+ - animals
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+ - demo
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+ pretty_name: MoCapAnything V2 Demo Data
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # MoCapAnything V2 — Demo Data (sample)
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+
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+ 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.
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+
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+ - 💻 Code: [github.com/phongdaot/MocapAnything](https://github.com/phongdaot/MocapAnything)
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+ - 🏋️ Weights: [kehong/MoCapAnythingV2-weights](https://huggingface.co/kehong/MoCapAnythingV2-weights)
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+
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+ ## Contents
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+
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+ | Folder | What's inside |
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+ | --- | --- |
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+ | `inputs/` | Example videos: in-the-wild animals, rendered zoo clips, objects, dance clips (with audio) |
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+ | `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) |
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+ | `obj1k/` | Mini object subset with the same layout (`characters/`) |
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+ | `expected_results/` | Reference `*_final.mp4` outputs for the wild / zoo / obj examples — **what a successful run should look like** |
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+
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+ 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.
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+
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+ ## Usage
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+
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+ ```bash
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+ git clone https://github.com/phongdaot/MocapAnything.git && cd MocapAnything
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+ hf download kehong/MoCapAnythingV2-data-sample --repo-type dataset --local-dir ./demo/data
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+ hf download kehong/MoCapAnythingV2-weights --local-dir ./checkpoints
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+
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+ python inference/video2pose2rot.py --config demo/configs/demo_wild.yaml # then compare with expected_results/
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+ python demo/app.py # interactive demo
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+ ```
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+
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+ ## Notes
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+
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+ - This is a **small demo sample** intended to make the code runnable end-to-end; the full training datasets are a separate (future) release.
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+ - Wild examples whose species has no reference in this mini subset are skipped with a warning — they unlock with the full dataset.
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