claims_phc / README.md
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---
license: mit
tags:
- humanoid-robotics
- motion-imitation
- reinforcement-learning
- phc
- claims
---
# CLAIMS PHC Assets
This repository hosts external assets for the CLAIMS project:
- intermediate CLAIMS PHC checkpoints
- one PHC baseline checkpoint
- PHC evaluation datasets used in our experiments
Related code repository:
- `https://github.com/WesleyXu224/CLAIMS_Code`
Related project page:
- `https://wesleyxu224.github.io/CLAIMS/`
## Directory Structure
```text
checkpoints/
claims_single_prim/
Humanoid_00014200.pth
Humanoid_00031800.pth
Humanoid_00050300.pth
Humanoid_00061200.pth
Humanoid_00074800.pth
Humanoid_00086200.pth
Humanoid_00094000.pth
baseline_single_prim_amass/
Humanoid.pth
sample_data/
aist++_clean.pkl
emdb_clean.pkl
kungfu_g_clean.pkl
video_convert_clean.pkl
```
## Asset Summary
`checkpoints/claims_single_prim/`
- CLAIMS PHC checkpoints saved at multiple training stages
`checkpoints/baseline_single_prim_amass/Humanoid.pth`
- baseline PHC checkpoint used for comparison
`sample_data/`
- PHC evaluation datasets in `pkl` format
## Usage
Example evaluation command:
```bash
python phc/run_hydra.py \
learning=im_big \
exp_name=claims_single_prim \
env=env_im \
robot=smpl_humanoid \
env.motion_file=/path/to/video_convert_clean.pkl \
env.num_envs=173 \
test=True \
epoch=94000 \
headless=True \
im_eval=True
```
Replace `env.motion_file` and checkpoint paths with your local paths after download.
## Notes
- These files are released separately from the code repository because of size.
- SMPL / SMPL-X assets are not included here.
- Please consult the main CLAIMS repository for the full pipeline and environment setup.