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