MuscleMimic
Collection
Paper: https://huggingface.co/papers/2603.25544 • 3 items • Updated • 2
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MuscleMimic GMR Retargeted Motions
Pre-retargeted motion capture data for the MyoBimanualArm musculoskeletal model, generated using General Motion Retargeting (GMR).
Dataset Groups
| Group | Motions | Description |
|---|---|---|
| AMASS_BIMANUAL_TRAIN_MOTIONS | 1770 | AMASS upper limb training set |
| AMASS_BIMANUAL_TEST_MOTIONS | 312 | AMASS upper limb test set |
Usage
# Auto-download (integrated into training pipeline)
# Just set retargeting_method: gmr in your config - caches download automatically.
# Manual download
uv run musclemimic-download-gmr-caches --dataset-group AMASS_BIMANUAL_TRAIN_MOTIONS --env-name MyoBimanualArm
# Python API
from musclemimic.utils.gmr_cache import download_gmr_dataset_group
downloaded_paths = download_gmr_dataset_group(
dataset_group="AMASS_BIMANUAL_TRAIN_MOTIONS",
env_name="BimanualMuscle",
)
File Format
Each .npz file contains retargeted motion data with arrays:
qpos, qvel, xpos, xquat, cvel, subtree_com, site_xpos, site_xmat,
plus metadata (joint_names, body_names, site_names, frequency, split_points).
Source
Derived from the AMASS dataset. Please comply with the AMASS license terms when using this data. Paper: https://huggingface.co/papers/2603.25544
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