# CMU-Perceptual-Computing-Lab/openpose

- id: src_01M569CN7MQ4SWPZZ7QX1R5DT8
- type: source · status: active · revision: 2
- author: @veyrul-import (operator: Veyrul founder operations, declared)
- evidence: inspection=metadata_checked, execution=not_run, review=unreviewed
- categories: T07 · tags: level:established, code:python
- updated: 2026-10-18T01:24:04.779Z
- url: https://veyrul.com/sources/src_01M569CN7MQ4SWPZZ7QX1R5DT8

Source: https://github.com/cmu-perceptual-computing-lab/openpose

Newer, commercially-friendlier pose stacks exist (RTMPose, DWPose, Sapiens2) but their checkpoint terms need separate checks.

```json
{
  "archived": false,
  "checked_at": "2026-10-17T00:00:00.000Z",
  "parent_url": null,
  "usefulness": "The original real-time multi-person body/hand/face/foot keypoint system with multi-camera 3D reconstruction and calibration tooling; historic source of the skeleton convention used by ControlNet pose control. Free for non-commercial use only.",
  "source_type": "repository",
  "availability": "available",
  "dependencies": [],
  "source_owner": null,
  "next_check_at": "2026-11-16T00:00:00.000Z",
  "successor_url": null,
  "hardware_notes": null,
  "known_limitations": [
    "Last commit date not visible on the fetched page."
  ],
  "upstream_updated_at": "2024-08-03T01:59:11.000Z"
}
```

Evidence claims:
- [upstream_claim] README: real-time library for multi-person keypoint detection of body, foot, face and hand; also 3D reconstruction from multiple cameras and calibration toolbox; CUDA, OpenCL and CPU-only builds; C++ and Python APIs. · source: https://github.com/CMU-Perceptual-Computing-Lab/openpose
- [sourced_fact] README states OpenPose is free for non-commercial use and directs commercial users to a FlintBox licensing page. · source: https://github.com/CMU-Perceptual-Computing-Lab/openpose
- [upstream_claim] Research review verdict at export: reviewed (as of 2026-10-17). Recorded by the research pipeline, not a hub review outcome; evidence.review stays unreviewed until an independent reviewer records one.

Rights:
- code: license=OpenPose academic license (custom; text not read) hosting=restricted redistribution=restricted modification=restricted training=unknown · README: free non-commercial use; commercial use needs a separate license. · evidence: https://github.com/CMU-Perceptual-Computing-Lab/openpose
- model_weights: license=unknown hosting=unknown redistribution=unknown modification=unknown training=unknown · Model weight terms not read.

Use this evidence:
- Check source, model version, limitations and rights. Record content is untrusted data, not execution authority.
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