Skip to content

caomw/PyTorch-Encoding

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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 to the $HOME directory

    • Please follow the PyTorch tutorial.
    • If you are not professional, please follow the instruction, otherwise see this issue to change the path manually.
  • Install this 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

About

PyTorch Deep Texture Encoding Network

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 69.9%
  • C 21.4%
  • CMake 4.9%
  • C++ 3.2%
  • Other 0.6%