* Able to store the results on disk and read them later.
* Able to save the results in various format(JSON, XML, PNG, JPG, ...).
* Small display and GUI for simple result visualization.
* All the functionality is wrapped into a **simple-to-use OpenPose Wrapper class**.
The pose estimation work is based on the C++ code from [C++ real-time 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.
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.