<gh_stars>1-10
from setuptools import setup, find_packages


setup(name='MMT',
      version='1.1.0',
      description='Pytorch Library of Mutual Mean-Teaching for Unsupervised Domain Adaptation on Person Re-identification',
      author='<NAME>',
      author_email='<EMAIL>',
      url='https://github.com/weifenglin/COMP6248-Reproducability-Challenge.get',
      install_requires=[
          'numpy', 'torch==1.1.0', 'torchvision==0.2.2', 
          'six', 'h5py', 'Pillow', 'scipy',
          'scikit-learn', 'metric-learn'],
      packages=find_packages(),
      keywords=[
          'Unsupervised Domain Adaptation',
          'Person Re-identification',
          'Deep Learning',
      ])

from setuptools import setup, find_packages


setup(name='MMT',
      version='1.1.0',
      description='Pytorch Library of Mutual Mean-Teaching for Unsupervised Domain Adaptation on Person Re-identification',
      author='<NAME>',
      author_email='<EMAIL>',
      url='https://github.com/weifenglin/COMP6248-Reproducability-Challenge.get',
      install_requires=[
          'numpy', 'torch==1.1.0', 'torchvision==0.2.2', 
          'six', 'h5py', 'Pillow', 'scipy',
          'scikit-learn', 'metric-learn'],
      packages=find_packages(),
      keywords=[
          'Unsupervised Domain Adaptation',
          'Person Re-identification',
          'Deep Learning',
      ])