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.
| File | Description |
|---|---|
| gallery_points.json | The points of gallery images. |
| train_points.json | The points of training images. |
| query_points.json | The points of query images. |
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.