OpenPose is a **library for real-time multi-person keypoint detection and multi-threading written in C++** using OpenCV and Caffe*, authored by [Gines Hidalgo](http://gines-hidalgo.site123.me/), [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Hanbyul Joo](http://www.cs.cmu.edu/~hanbyulj/) and [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
\* It uses Caffe, but it could easily be ported to other frameworks (Tensorflow, Torch, etc.). If you implement any of those, feel free to make a pull request!
## Latest News
- Jul 2017: **Windows**, New [**portable demo**](doc/installation.md#installation---demo)**and**[**easier library installation**](doc/installation.md#installation---library)!
- Jul 2017: **Hands** released!
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- Apr 2017: **Body** released!
- Check all the [release notes](doc/release_notes.md).
We are offering [internships at Carnegie Mellon University as OpenPose programmer](https://docs.google.com/document/d/14SygG39NjIRZfx08clewTdFMGwVdtRu2acyCi3TYcHs/edit?usp=sharing)(need to live in or be willing to move to Pittsburgh).
OpenPose is a **library for real-time multi-person keypoint detection and multi-threading written in C++** using OpenCV and Caffe*, authored by [Gines Hidalgo](http://gines-hidalgo.site123.me/), [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Hanbyul Joo](http://www.cs.cmu.edu/~hanbyulj/) and [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
## Contents
1.[Latest News](#latest-news)
2.[Results](#results)
3.[Introduction](#introduction)
4.[Functionality](#functionality)
5.[Operating Systems](#operating-systems)
6.[Installation, Reinstallation and Uninstallation](#installation-reinstallation-and-uninstallation)
7.[Custom Caffe](#custom-caffe)
8.[Quick Start](#quick-start)
1.[Demo](#demo)
2.[OpenPose Wrapper](#openpose-wrapper)
3.[OpenPose Library](#openpose-library)
9.[Output](#output)
10.[Speed Up Openpose And Benchmark](#speed-up-openpose-and-benchmark)
11.[Send Us Failure Cases!](#send-us-failure-cases)
12.[Send Us Your Feedback!](#send-us-your-feedback)
13.[Citation](#citation)
14.[Other Contributors](#other-contributors)
\* It uses Caffe, but the code is ready to be ported to other frameworks (Tensorflow, Torch, etc.). If you implement any of those, feel free to make a pull request!
## Introduction
OpenPose represents the **first real-time system to jointly detect human body, hand and facial keypoints (in total 130 keypoints) on single images**. In addition, the system computational performance on body keypoint estimation is invariant to the number of detected people in the image.
OpenPose is freely available for free non-commercial use, and may be redistributed under these conditions. Please, see the [license](LICENSE) for further details. [Interested in a commercial license? Check this link](https://flintbox.com/public/project/47343/). For commercial queries, contact [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
In addition, OpenPose would not be possible without the [CMU Panoptic Studio](http://domedb.perception.cs.cmu.edu/).
The pose estimation work is based on the C++ code from [the ECCV 2016 demo](https://github.com/CMU-Perceptual-Computing-Lab/caffe_rtpose), "Realtime Multiperson Pose Estimation", [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/). The [original repo](https://github.com/ZheC/Multi-Person-Pose-Estimation) includes Matlab and Python version, as well as the training code.
Library main functionality:
## Functionality
* Multi-person 15 or **18-keypoint body pose** estimation and rendering. **Running time invariant to number of people** on the image.
* Multi-person **2x21-keypoint hand** estimation and rendering. Note: In this initial version, **running time** linearly **depends** on the **number of people** on the image. **Coming soon (in around 1-5 days)!**
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* All the functionality is wrapped into a **simple-to-use OpenPose Wrapper class**.
The pose estimation work is based on the C++ code from [the ECCV 2016 demo](https://github.com/CMU-Perceptual-Computing-Lab/caffe_rtpose), "Realtime Multiperson Pose Estimation", [Zhe Cao](http://www.andrew.cmu.edu/user/zhecao), [Tomas Simon](http://www.cs.cmu.edu/~tsimon/), [Shih-En Wei](https://scholar.google.com/citations?user=sFQD3k4AAAAJ&hl=en), [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/). The [full project repo](https://github.com/ZheC/Multi-Person-Pose-Estimation) includes Matlab and Python version, as well as training code.
## Operating Systems
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