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PyTorch-Encoding-Layer

Deep TEN: Texture Encoding Network [arXiv]
Hang Zhang, Jia Xue, Kristin Dana

@article{zhang2016deep,
  title={Deep TEN: Texture Encoding Network},
  author={Zhang, Hang and Xue, Jia and Dana, Kristin},
  journal={arXiv preprint arXiv:1612.02844},
  year={2016}
}

If you would like to reproduce the texture recognition benchmark in the paper, please visit our original Torch implementation.

Installation

  • Install PyTorch from source

    • Install PyTorch from source to the $HOME directory, you can follow the PyTorch tutorial.
  • Install the package

    • Clone the repo
     git clone git@github.com:zhanghang1989/PyTorch-Encoding-Layer.git && cd PyTorch-Encoding-Layer
    • On Linux
     python setup.py install
    • On OSX
     MACOSX_DEPLOYMENT_TARGET=10.9 CC=clang CXX=clang++ python setup.py install

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  • Python 42.4%
  • C 32.7%
  • CMake 16.8%
  • C++ 6.7%
  • Cuda 1.1%
  • Shell 0.3%