Pedestrian Pose Annotation for DukeMTMC-reID by machine(Python and Matlab API).

It is a small work but we think it may help the community to focus on the body structure of the pedestrian. The application can be pedestrain hallucination (generation), person re-identification and tracking.

18 pedestrian body points have been included in result folder.

We generated the pose by OpenPose. Thank their great works.

(Note that value is null if the point has not been detected.)

python: python_demo.ipynb

matlab: matlab_demo.m

You need to install the openpose from https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation. The code is wrote with pycaffe.

I wrote a simple code generate.py to generate the pose. You may directly change the dataset path in it and have a try.

Please refer to LICENSE_DukeMTMC.txt and LICENSE_DukeMTMC-reID.txt.