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MatConvNet_Realtime_Multi-Person_Pose_Estimation
This is a matlab implementation of Realtime Multi-Person Pose Estimation using matconvnet backend, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation
Introduction
Code repo for personal reproducing 2017 CVPR Oral paper using MatConvNet.
<p align="left"> <img src="https://github.com/ZheC/Multi-Person-Pose-Estimation/blob/master/readme/pose.gif", width="720"> </p>This project is licensed under the terms of the license.
Disclaimer
Copyright is owned by the [original author](Zhe Cao).
Require
cd <Pose_matconvnet>
git clone https://github.com/vlfeat/matconvnet.git
cd matconvnet
run matlab/vl_compilenn ;
-
COCO Model (The model is freely available for free non-commercial use.)
Download from google drive or BaiduYun
or
Convert caffe models to matconvnet by yourself.
-
Download caffemodel
cd <Pose_matconvnet> cd models wget http://posefs1.perception.cs.cmu.edu/Users/ZheCao/pose_iter_440000.caffemodel
-
MATLAB
cd models Converter_caffe_matconvnet build_openpose_net
-
Testing
- MATLAB
cd <Pose_matconvnet>
cd testing
demo_matconvnet_pose();
Related repository
- Our new C++ library openPose
- CVPR'16, Convolutional Pose Machines
- Pytorch version of the code
Citation
Please cite the paper in your publications if it helps your research:
@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{wei2016cpm,
author = {Shih-En Wei and Varun Ramakrishna and Takeo Kanade and Yaser Sheikh},
booktitle = {CVPR},
title = {Convolutional pose machines},
year = {2016}
}