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- """ Setup
- """
- from setuptools import setup, find_packages
- from codecs import open
- from os import path
-
- here = path.abspath(path.dirname(__file__))
-
- # Get the long description from the README file
- with open(path.join(here, 'README.md'), encoding='utf-8') as f:
- long_description = f.read()
-
- exec(open('timm/version.py').read())
- setup(
- name='timm',
- version=__version__,
- description='PyTorch Image Models',
- long_description=long_description,
- long_description_content_type='text/markdown',
- url='https://github.com/huggingface/pytorch-image-models',
- author='Ross Wightman',
- author_email='ross@huggingface.co',
- classifiers=[
- # How mature is this project? Common values are
- # 3 - Alpha
- # 4 - Beta
- # 5 - Production/Stable
- 'Development Status :: 4 - Beta',
- 'Intended Audience :: Education',
- 'Intended Audience :: Science/Research',
- 'License :: OSI Approved :: Apache Software License',
- 'Programming Language :: Python :: 3.7',
- 'Programming Language :: Python :: 3.8',
- 'Programming Language :: Python :: 3.9',
- 'Programming Language :: Python :: 3.10',
- 'Programming Language :: Python :: 3.11',
- 'Topic :: Scientific/Engineering',
- 'Topic :: Scientific/Engineering :: Artificial Intelligence',
- 'Topic :: Software Development',
- 'Topic :: Software Development :: Libraries',
- 'Topic :: Software Development :: Libraries :: Python Modules',
- ],
-
- # Note that this is a string of words separated by whitespace, not a list.
- keywords='pytorch pretrained models efficientnet mobilenetv3 mnasnet resnet vision transformer vit',
- packages=find_packages(exclude=['convert', 'tests', 'results']),
- include_package_data=True,
- install_requires=['torch >= 1.7', 'torchvision', 'pyyaml', 'huggingface_hub', 'safetensors'],
- python_requires='>=3.7',
- )
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