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 <h2>Introduction</h2>
 <p>OpenPose represents the <b>first real-time system to jointly detect human body, hand and facial keypoints (in total 130 keypoints) on single images</b>. In addition, the system computational performance on body keypoint estimation is invariant to the number of detected people in the image. 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!</p>
-<p>OpenPose is authored by <a href="http://gineshidalgo.com/">Gines Hidalgo</a>, <a href="http://www.andrew.cmu.edu/user/zhecao">Zhe Cao</a>, <a href="http://www.cs.cmu.edu/~tsimon/">Tomas Simon</a>, <a href="https://scholar.google.com/citations?user=sFQD3k4AAAAJ&amp;hl=en">Shih-En Wei</a>, <a href="http://www.cs.cmu.edu/~hanbyulj/">Hanbyul Joo</a> and <a href="http://www.cs.cmu.edu/~yaser/">Yaser Sheikh</a>. In addition, it is being maintained by <a href="http://gineshidalgo.com/">Gines Hidalgo</a> and <a href="https://www.linkedin.com/in/bikz05">Bikramjot Hanzra</a>.</p>
+<p>OpenPose is authored by <a href="https://www.gineshidalgo.com/">Gines Hidalgo</a>, <a href="http://www.andrew.cmu.edu/user/zhecao">Zhe Cao</a>, <a href="http://www.cs.cmu.edu/~tsimon/">Tomas Simon</a>, <a href="https://scholar.google.com/citations?user=sFQD3k4AAAAJ&amp;hl=en">Shih-En Wei</a>, <a href="http://www.cs.cmu.edu/~hanbyulj/">Hanbyul Joo</a>, and <a href="http://www.cs.cmu.edu/~yaser/">Yaser Sheikh</a>. Currently, it is being maintained by <a href="https://www.gineshidalgo.com/">Gines Hidalgo</a> and <a href="https://www.linkedin.com/in/bikz05">Bikramjot Hanzra</a>.</p>
 <p>It is freely available for free non-commercial use, and may be redistributed under these conditions. Please, see the [license](LICENSE) for further details. <a href="https://flintbox.com/public/project/47343/">Interested in a commercial license? Check this link</a>. For commercial queries, contact <a href="http://www.cs.cmu.edu/~yaser/">Yaser Sheikh</a>.</p>
 <p>In addition, OpenPose would not be possible without the <a href="http://domedb.perception.cs.cmu.edu/">CMU Panoptic Studio</a>.</p>
 <p>The pose estimation work is based on the C++ code from <a href="https://github.com/CMU-Perceptual-Computing-Lab/caffe_rtpose">the ECCV 2016 demo</a>, "Realtime Multiperson Pose Estimation", <a href="http://www.andrew.cmu.edu/user/zhecao">Zhe Cao</a>, <a href="http://www.cs.cmu.edu/~tsimon/">Tomas Simon</a>, <a href="https://scholar.google.com/citations?user=sFQD3k4AAAAJ&amp;hl=en">Shih-En Wei</a>, <a href="http://www.cs.cmu.edu/~yaser/">Yaser Sheikh</a>. The <a href="https://github.com/ZheC/Multi-Person-Pose-Estimation">original repo</a> includes Matlab and Python version, as well as the training code.</p>