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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
""" 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('src/open_clip/version.py').read())
setup(
name='open_clip_torch',
version=__version__,
description='OpenCLIP',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/mlfoundations/open_clip',
author='',
author_email='',
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
'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',
'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='CLIP pretrained',
package_dir={'': 'src'},
packages=find_packages(where='src', exclude=['training']),
include_package_data=True,
install_requires=[
'torch >= 1.9',
'torchvision',
'ftfy',
'regex',
'tqdm',
],
python_requires='>=3.7',
)
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