<div align="center">
<img src=".github/Logo_main_black.png", width="300">
</div>
-----------------
**OpenPose Unity Plugin** is a **wrapper of the [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) library for Unity users**. It provides formatted OpenPose output and some examples. [OpenPose](https://github.com/CMU-Perceptual-Computing-Lab/openpose) is a real-time multi-person system able to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images.
The OpenPose Unity Plugin project is **authored by [Tianyi Zhao](http://tianyizhao.com), [Gines Hidalgo](https://www.gineshidalgo.com/), and [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/)**. Currently, it is being **maintained by [Tianyi Zhao](http://tianyizhao.com) and [Gines Hidalgo](https://www.gineshidalgo.com/)**.
[**Demo/tutorial video**](https://youtu.be/Jrcak4n6PG4) of the working system.
<p align="center">
<img src="doc/media/main.png", width="480">
<br>
<sup><a href="http://tianyizhao.com" target="_blank">Tianyi Zhao</a> (left) and <a href="https://www.gineshidalgo.com" target="_blank">Gines Hidalgo</a> (right) testing the OpenPose Unity Plugin</sup>
</p>
## NOTICE
This is an alpha release, everything is subject to change. The plugin will finally be available in Unity Assets store in the future.
## Contents
1. [Results](#results)
2. [Installation, Reinstallation and Uninstallation](#installation-reinstallation-and-uninstallation)
3. [Citation](#citation)
4. [License](#license)
## Results
### Body and Foot Estimation
<p align="center">
<img src="doc/media/body_foot.png", width="360">
<br>
<sup>Testing the OpenPose Unity Plugin for body and foot detection</sup>
</p>
### Body, Foot, Face, and Hands Estimation
<p align="center">
<img src="doc/media/hand_face.png", width="360">
<br>
<sup>Testing the OpenPose Unity Plugin for body, foot, face, and hand detection</sup>
</p>
## Installation, Reinstallation and Uninstallation
Follow the steps in the installation documentation in [doc/installation.md](doc/installation.md).
## Citation
Please cite these papers in your publications if it helps your research (the face keypoint detector was trained using the procedure described in [Simon et al. 2017] for hands):
@inproceedings{cao2018openpose,
author = {Zhe Cao and Gines Hidalgo and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {arXiv preprint arXiv:1812.08008},
title = {Open{P}ose: realtime multi-person 2{D} pose estimation using {P}art {A}ffinity {F}ields},
year = {2018}
}
@inproceedings{cao2017realtime,
author = {Zhe Cao and Tomas Simon and Shih-En Wei and Yaser Sheikh},
booktitle = {CVPR},
title = {Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields},
year = {2017}
}
@inproceedings{simon2017hand,
author = {Tomas Simon and Hanbyul Joo and Iain Matthews and Yaser Sheikh},
booktitle = {CVPR},
title = {Hand Keypoint Detection in Single Images using Multiview Bootstrapping},
year = {2017}
}
@inproceedings{wei2016cpm,
author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
booktitle = {CVPR},
title = {Convolutional pose machines},
year = {2016}
}
Links to the papers:
- [OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields](https://arxiv.org/abs/1812.08008)
- [Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields](https://arxiv.org/abs/1611.08050)
- [Hand Keypoint Detection in Single Images using Multiview Bootstrapping](https://arxiv.org/abs/1704.07809)
- [Convolutional Pose Machines](https://arxiv.org/abs/1602.00134)
## License
OpenPose Unity Plugin 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 [FlintBox link](https://flintbox.com/public/project/47343/). For commercial queries, use the `Directly Contact Organization` section from the [FlintBox link](https://flintbox.com/public/project/47343/) and also send a copy of that message to [Yaser Sheikh](http://www.cs.cmu.edu/~yaser/).
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openpose_unity_plugin:适用于Unity用户的OpenPose Unity插件
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OpenPose Unity插件是Unity用户的库的包装。 它提供了格式化的OpenPose输出和一些示例。 是一个实时多人系统,能够共同检测单个图像上的人体,手,面部和脚的关键点(总共135个关键点)。 OpenPose Unity插件项目由 , 和撰写。 目前,它由和维护。 操作系统的。 (左)和 (右)测试OpenPose Unity插件 注意 这是一个Alpha版本,所有内容都会随时更改。 该插件最终将在将来在Unity Assets商店中提供。 内容 结果 身体和脚的估计 测试用于姿势和脚部检测的OpenPose Unity插件 身体,脚,脸和手的估计 测试OpenPo
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openpose_unity_plugin:适用于Unity用户的OpenPose Unity插件 (162个子文件)
ProjectSettings.asset 18KB
InputManager.asset 6KB
QualitySettings.asset 5KB
GraphicsSettings.asset 2KB
Physics2DSettings.asset 1KB
NavMeshAreas.asset 1KB
DynamicsManager.asset 1KB
UnityConnectSettings.asset 853B
PresetManager.asset 797B
EditorSettings.asset 661B
TagManager.asset 392B
AudioManager.asset 360B
EditorBuildSettings.asset 341B
VFXManager.asset 273B
TimeManager.asset 197B
XRSettings.asset 158B
NetworkManager.asset 151B
ClusterInputManager.asset 114B
getModels.bat 2KB
getPlugins.bat 1KB
testBinary.bat 937B
COPYING 34KB
OPWrapper.cs 13KB
OPDatum.cs 10KB
OPOutputParser.cs 10KB
OpenPoseUserScript.cs 9KB
HumanController2D.cs 9KB
OPBind.cs 5KB
OPEnums.cs 5KB
RenderHeadCircle.cs 4KB
ImageRenderer.cs 2KB
RenderKeypoints.cs 892B
wget.exe.debug 1.44MB
17012332.xml.example 825B
wget.exe 3.77MB
unzip.exe 164KB
.gitignore 1KB
.gitignore 34B
wget.html 135KB
COCO_val2014_000000000395.jpg 241KB
COCO_val2014_000000000192.jpg 225KB
COCO_val2014_000000000257.jpg 204KB
COCO_val2014_000000000459.jpg 190KB
COCO_val2014_000000000544.jpg 184KB
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COCO_val2014_000000000357.jpg 128KB
COCO_val2014_000000000564.jpg 127KB
COCO_val2014_000000000569.jpg 127KB
COCO_val2014_000000000360.jpg 116KB
COCO_val2014_000000000415.jpg 115KB
COCO_val2014_000000000623.jpg 110KB
COCO_val2014_000000000241.jpg 105KB
COCO_val2014_000000000488.jpg 103KB
COCO_val2014_000000000428.jpg 100KB
COCO_val2014_000000000589.jpg 95KB
COCO_val2014_000000000338.jpg 80KB
COCO_val2014_000000000294.jpg 74KB
COCO_val2014_000000000536.jpg 22KB
manifest.json 1KB
settings.json 1KB
LICENSE 9KB
TextureMaterial.mat 2KB
installation.md 5KB
README.md 4KB
issue_template.md 3KB
faq.md 2KB
release_notes.md 788B
released_features.md 269B
demo_overview.md 95B
OpenPoseUnityPlugin_UML.mdj 141KB
Rect.png.meta 2KB
Circle.png.meta 2KB
Logo.png.meta 2KB
menu-button.png.meta 2KB
COCO_val2014_000000000241.jpg.meta 2KB
COCO_val2014_000000000589.jpg.meta 2KB
COCO_val2014_000000000536.jpg.meta 2KB
COCO_val2014_000000000488.jpg.meta 2KB
COCO_val2014_000000000395.jpg.meta 2KB
COCO_val2014_000000000564.jpg.meta 2KB
COCO_val2014_000000000428.jpg.meta 2KB
COCO_val2014_000000000338.jpg.meta 2KB
COCO_val2014_000000000544.jpg.meta 2KB
COCO_val2014_000000000459.jpg.meta 2KB
COCO_val2014_000000000357.jpg.meta 2KB
COCO_val2014_000000000294.jpg.meta 2KB
COCO_val2014_000000000192.jpg.meta 2KB
COCO_val2014_000000000328.jpg.meta 2KB
COCO_val2014_000000000474.jpg.meta 2KB
COCO_val2014_000000000360.jpg.meta 2KB
COCO_val2014_000000000623.jpg.meta 2KB
COCO_val2014_000000000415.jpg.meta 2KB
COCO_val2014_000000000569.jpg.meta 2KB
COCO_val2014_000000000257.jpg.meta 2KB
OPWrapper.cs.meta 243B
OPEnums.cs.meta 243B
OPOutputParser.cs.meta 243B
OPBind.cs.meta 243B
OPDatum.cs.meta 243B
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