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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
| Date | Stars |
|---|---|
| 2026-07-24 | 34316 |
| 2026-07-25 | 34316 |
| 2026-07-28 | 34316 |
| 2026-07-30 | 34328 |
| 2026-08-06 | 34328 |
Today
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Momentum
0.0
growth rate 0.00%/day
<div align="center">
<img src=".github/Logo_main_black.png" width="300">
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| **Build Type** |`Linux` |`MacOS` |`Windows` |
| :---: | :---: | :---: | :---: |
| **Build Status** | [](https://github.com/CMU-Perceptual-Computing-Lab/openpose/actions) | [](https://github.com/CMU-Perceptual-Computing-Lab/openpose/actions) | [](https://ci.appveyor.com/project/gineshidalgo99/openpose/branch/master) |
[**OpenPose**](https://github.com/CMU-Perceptual-Computing-Lab/openpose) has represented the **first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images**.
It is **authored by** [**Ginés Hidalgo**](https://www.gineshidalgo.com), [**Zhe Cao**](https://people.eecs.berkeley.edu/~zhecao), [**Tomas Simon**](http://www.cs.cmu.edu/~tsimon), [**Shih-En Wei**](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [**Yaadhav Raaj**](https://www.raaj.tech), [**Hanbyul Joo**](https://jhugestar.github.io), **and** [**Yaser Sheikh**](http://www.cs.cmu.edu/~yaser). It is **maintained by** [**Ginés Hidalgo**](https://www.gineshidalgo.com) **and** [**Yaadhav Raaj**](https://www.raaj.tech). OpenPose would not be possible without the [**CMU Panoptic Studio dataset**](http://domedb.perception.cs.cmu.edu). We would also like to thank all the people who [have helped OpenPose in any way](doc/09_authors_and_contributors.md).
<p align="center">
<img src=".github/media/pose_face_hands.gif" width="480">
<br>
<sup>Authors <a href="https://www.gineshidalgo.com" target="_blank">Ginés Hidalgo</a> (left) and <a href="https://jhugestar.github.io" target="_blank">Hanbyul Joo</a> (right) in front of the <a href="http://domedb.perception.cs.cmu.edu" target="_blank">CMU Panoptic Studio</a></sup>
</p>
## Contents
1. [Results](#results)
2. [Features](#features)
3. [Related Work](#related-work)
4. [Installation](#installation)
5. [Quick Start Overview](#quick-start-overview)
6. [Send Us Feedback!](#send-us-feedback)
7. [Citation](#citation)
8. [License](#license)
## Results
### Whole-body (Body, Foot, Face, and Hands) 2D Pose Estimation
<p align="center">
<img src=".github/media/dance_foot.gif" width="300">
<img src=".github/media/pose_face.gif" width="300">
<img src=".github/media/pose_hands.gif" width="300">
<br>
<sup>Testing OpenPose: (Left) <a href="https://www.youtube.com/watch?v=2DiQUX11YaY" target="_blank"><i>Crazy Uptown Funk flashmob in Sydney</i></a> video sequence. (Center and right) Authors <a href="https://www.gineshidalgo.com" target="_blank">Ginés Hidalgo</a> and <a href="http://www.cs.cmu.edu/~tsimon" target="_blank">Tomas Simon</a> testing face and hands</sup>
</p>
### Whole-body 3D Pose Reconstruction and Estimation
<p align="center">
<img src=".github/media/openpose3d.gif" width="360">
<br>
<sup><a href="https://ziutinyat.github.io/" target="_blank">Tianyi Zhao</a> testing the OpenPose 3D Module</a></sup>
</p>
### Unity Plugin
<p align="center">
<img src=".github/media/unity_main.png" width="300">
<img src=".github/media/unity_body_foot.png" width="300">
<img src=".github/media/unity_hand_face.png" width="300">
<br>
<sup><a href="https://ziutinyat.github.io/" target="_blank">Tianyi Zhao</a> and <a href="https://www.gineshidalgo.com" target="_blank">Ginés Hidalgo</a> testing the <a href="https://github.com/CMU-Perceptual-Computing-Lab/openpose_unity_plugin" target="_blank">OpenPose Unity Plugin</a></sup>
</p>
### Runtime Analysis
We show an inference time comparison between the 3 available pose estimation libraries (same haExcerpt of 11,565 characters
Read on GitHub
Ginés Hidalgo · Reality Labs Research Pittsburgh, Meta · United States
513
Raaj · Carnegie Mellon University Robotics Institute
26
Xiang Yann, Lim · Malaysia
10
bikram · Amazon · United States
9
Matthijs van der Burgh · @tue-robotics @VBTI-development · Netherlands
7
Zhe Cao · UC Berkeley
6
Tianyi Zhao · Google · United States
5
Santiago Castro · @Netflix · United States
4
3
Donglai Xiang
2
Cengizhan Pasaoglu · Siemens AG · Germany
2
Alex Chambers
2
Joab Leite S. Neto · Brazil
2
2
2
Zhipeng Jiang · TikTok · United States
2
Thomas Faingnaert · Belgium
2
Selim Waly · Home
2
Prabhat Kumar Sahu · India
2
Jim Carroll
2
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8fcaf4f00414438e, topic:computer-vision, topic:opencv, topic:pose-estimation