$ docker pull jgravity/tensorflow-opencv:odin
$ docker run -it --name odin jgravity/tensorflow-opencv:odin bin/bash

# git clone https://github.com/PJunhyuk/people-counting-pose
# cd people-counting-pose
# chmod u+x ./compile.sh && ./compile.sh && cd models/coco && chmod u+x download_models_wget.sh && ./download_models_wget.sh && cd -

# cd testset && chmod u+x ./download_testset_wget.sh && ./download_testset_wget.sh && cd -

# python video_tracking.py -f '{video_file_name}'

# python video_tracking.py -f 'test_video_01f.mov'

> docker cp odin:/people-counting-pose/testset/{video_file_name} ./

# python video_pose.py -f '{video_file_name}'

@inproceedings{insafutdinov2017cvpr,
    title = {ArtTrack: Articulated Multi-person Tracking in the Wild},
    booktitle = {CVPR'17},
    url = {http://arxiv.org/abs/1612.01465},
    author = {Eldar Insafutdinov and Mykhaylo Andriluka and Leonid Pishchulin and Siyu Tang and Evgeny Levinkov and Bjoern Andres and Bernt Schiele}
}

@article{insafutdinov2016eccv,
    title = {DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model},
    booktitle = {ECCV'16},
    url = {http://arxiv.org/abs/1605.03170},
    author = {Eldar Insafutdinov and Leonid Pishchulin and Bjoern Andres and Mykhaylo Andriluka and Bernt Schiele}
}