Install and Citations
=====================


Install from Source
-------------------

    * Install PyTorch by following the `PyTorch instructions <http://pytorch.org/>`_.
      This package relies on PyTorch master branch (higher than stable released v0.4.0), please follow
      `the instruction <https://github.com/pytorch/pytorch#from-source>`_ to install
      PyTorch from source.
 
    * PIP Install::

        pip install torch-encoding

    * Install from source:: 

        git clone https://github.com/zhanghang1989/PyTorch-Encoding && cd PyTorch-Encoding
        python setup.py install

Citations
---------

    .. note::
        If using the code in your research, please cite our papers.

        * Hang Zhang, Kristin Dana, Jianping Shi, Zhongyue Zhang, Xiaogang Wang, Ambrish Tyagi, Amit Agrawal. "Context Encoding for Semantic Segmentation"  *The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018*::

            @InProceedings{Zhang_2018_CVPR,
            author = {Zhang, Hang and Dana, Kristin and Shi, Jianping and Zhang, Zhongyue and Wang, Xiaogang and Tyagi, Ambrish and Agrawal, Amit},
            title = {Context Encoding for Semantic Segmentation},
            booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
            month = {June},
            year = {2018}
            }


        * Hang Zhang, Jia Xue, and Kristin Dana. "Deep TEN: Texture Encoding Network." *The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017*::

            @InProceedings{Zhang_2017_CVPR,
            author = {Zhang, Hang and Xue, Jia and Dana, Kristin},
            title = {Deep TEN: Texture Encoding Network},
            booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
            month = {July},
            year = {2017}
            }
