---
license: other
license_name: openpose-non-commercial
license_link: https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE
tags:
- pose-estimation
- openpose
- body-25
- pytorch
---

# OpenPose-135 weights (BODY_25 + hand + face)

Self-contained PyTorch checkpoints for the CMU OpenPose **BODY_25 body** (25 keypoints),
**hand** (21 keypoints × 2), and **face** (70 keypoints) detectors — the exact stack
needed to reproduce the OpenPose-135 keypoint layout without a Caffe runtime or `mmcv`.

## Files

| File | Size | Source |
|---|---:|---|
| `body_pose_model_25.pth` | ~200 MB | CMU `pose_iter_584000.caffemodel` ported via [caffemodel2pytorch](https://github.com/vadimkantorov/caffemodel2pytorch), redistributed by [TracelessLe/OpenPose.PyTorch](https://github.com/TracelessLe/OpenPose.PyTorch) |
| `hand_pose_model.pth` | 147 MB | CMU hand pose model, mirrored from [lllyasviel/Annotators](https://huggingface.co/lllyasviel/Annotators) |
| `facenet.pth` | 154 MB | CMU OpenPose face / FaceNet, mirrored from [lllyasviel/Annotators](https://huggingface.co/lllyasviel/Annotators) |

## Usage

These are intended to be loaded by [`tools/openpose135/`](https://github.com/hohs) — the
self-contained PyTorch OpenPose-135 detector vendored into the PHD codebase. The detector
auto-downloads from this repo on first use:

```python
from tools.openpose135 import OpenPose135Detector
detector = OpenPose135Detector(device="cuda")  # auto-fetches the three .pth files
people = detector(image_rgb)
```

To use these weights without that wrapper, see the architecture definitions in
`tools/openpose135/model.py` — the state dicts are flat (caffemodel2pytorch / direct
naming) and load through a small `transfer()` helper.

## License

These weights are derived from the **CMU OpenPose** project, which is licensed for
**non-commercial use only**:

> The OpenPose project is freely available for free non-commercial use, and may be
> redistributed under these conditions. Please, see the [LICENSE](https://github.com/CMU-Perceptual-Computing-Lab/openpose/blob/master/LICENSE)
> for further details. Interested in a commercial license? Contact the CMU Technology
> Transfer and Enterprise Creation office.

Redistribution here is non-commercial; downstream use inherits the same restriction.

## Attribution

- CMU OpenPose: <https://github.com/CMU-Perceptual-Computing-Lab/openpose>
- BODY_25 PyTorch port: <https://github.com/TracelessLe/OpenPose.PyTorch>
- Hand + face PyTorch port: <https://github.com/lllyasviel/ControlNet-v1-1-nightly>
- Original pytorch-openpose: <https://github.com/Hzzone/pytorch-openpose>