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‎README.md‎

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OpenPose
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====================================
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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/).
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\* 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!
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## Latest News
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- Jul 2017: **Windows**, New [**portable demo**](doc/installation.md#installation---demo) **and** [**easier library installation**](doc/installation.md#installation---library)!
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- Jul 2017: **Hands** released!
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- Apr 2017: **Body** released!
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- Check all the [release notes](doc/release_notes.md).
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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).
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## Results
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### Body + Hands + Face Estimation
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<p align="center">
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<img src="doc/media/pose_face_hands.gif", width="480">
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</p>
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### Body Estimation
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<p align="center">
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<img src="doc/media/dance.gif", width="480">
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</p>
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### Body + Face Estimation
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<p align="center">
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<img src="doc/media/pose_face.gif", width="480">
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</p>
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### Body + Hands
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<p align="center">
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<img src="doc/media/pose_hands.gif", width="480">
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</p>
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## Introduction
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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/).
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## Contents
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1. [Latest News](#latest-news)
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2. [Results](#results)
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3. [Introduction](#introduction)
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4. [Functionality](#functionality)
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5. [Operating Systems](#operating-systems)
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6. [Installation, Reinstallation and Uninstallation](#installation-reinstallation-and-uninstallation)
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7. [Custom Caffe](#custom-caffe)
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8. [Quick Start](#quick-start)
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1. [Demo](#demo)
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2. [OpenPose Wrapper](#openpose-wrapper)
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3. [OpenPose Library](#openpose-library)
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9. [Output](#output)
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10. [Speed Up Openpose And Benchmark](#speed-up-openpose-and-benchmark)
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11. [Send Us Failure Cases!](#send-us-failure-cases)
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12. [Send Us Your Feedback!](#send-us-your-feedback)
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13. [Citation](#citation)
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14. [Other Contributors](#other-contributors)
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\* 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!
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## Introduction
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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.
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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/).
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In addition, OpenPose would not be possible without the [CMU Panoptic Studio](http://domedb.perception.cs.cmu.edu/).
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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.
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Library main functionality:
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## Functionality
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* Multi-person 15 or **18-keypoint body pose** estimation and rendering. **Running time invariant to number of people** on the image.
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* 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**.
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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.
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## Operating Systems
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## Results
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### Body + Hands + Face Estimation
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<p align="center">
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<img src="doc/media/pose_face_hands.gif", width="480">
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</p>
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### Body Estimation
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<p align="center">
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<img src="doc/media/dance.gif", width="480">
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</p>
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### Body + Face Estimation
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<p align="center">
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<img src="doc/media/pose_face.gif", width="480">
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</p>
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### Body + Hands
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<p align="center">
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<img src="doc/media/pose_hands.gif", width="480">
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</p>
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## Contents
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1. [Installation, Reinstallation and Uninstallation](#installation-reinstallation-and-uninstallation)
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2. [Quick Start](#quick-start)
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1. [Demo](#demo)
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2. [OpenPose Wrapper](#openpose-wrapper)
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3. [OpenPose Library](#openpose-library)
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3. [Output](#output)
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4. [Custom Caffe](#custom-caffe)
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5. [Standalone Face Or Hand Keypoint Detector](#standalone-face-or-hand-keypoint-detector)
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6. [Speed Up Openpose And Benchmark](#speed-up-openpose-and-benchmark)
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7. [Send Us Failure Cases!](#send-us-failure-cases)
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8. [Send Us Your Feedback!](#send-us-your-feedback)
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9. [Citation](#citation)
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10. [Other Contributors](#other-contributors)
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## Installation, Reinstallation and Uninstallation
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You can find the installation, reinstallation and uninstallation steps on: [doc/installation.md](doc/installation.md).
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