# install virtual envs
$ conda create -n uPMnet python=2.7 -y
$ conda activate uPMnet

# install tensorflow 1.4.0 with cuda 9.0
$ pip install --ignore-installed --upgrade https://github.com/mind/wheels/releases/download/tf1.4-gpu-cuda9/tensorflow-1.4.0-cp27-cp27mu-linux_x86_64.whl

# install mkl
$ sudo apt install cmake
$ git clone --branch v0.12 https://github.com/01org/mkl-dnn.git
$ cd mkl-dnn/scripts; ./prepare_mkl.sh && cd ..
$ mkdir -p build && cd build && cmake .. && make -j36
$ sudo make install
$ echo 'export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/lib' >> ~/.bashrc

# install other dependencies
$ pip install scipy matplotlib

# Please modify the path in your way
$ bash datasets/convert_data_to_tfrecords.py

$ bash scripts/train_PRID2011.sh # train_iLIDS_VID.sh or train_DukeMTMC-VideoReID.sh

@article{zang2021exploiting,
  title={Exploiting Robust Unsupervised Video Person Re-identification},
  author={Zang, Xianghao and Li, Ge and Gao, Wei and Shu, Xiujun},
  journal={arXiv preprint arXiv:2111.05170},
  year={2021}
}