# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from io import open from setuptools import setup with open('requirements.txt', encoding="utf-8-sig") as f: requirements = f.readlines() def readme(): with open( 'docs/en/inference_deployment/whl_deploy_en.md', encoding="utf-8-sig") as f: README = f.read() return README setup( name='paddleclas', packages=['paddleclas'], package_dir={'paddleclas': ''}, include_package_data=True, entry_points={ "console_scripts": ["paddleclas=paddleclas.paddleclas:main"] }, version='0.0.0', install_requires=requirements, license='Apache License 2.0', description='A treasure chest for visual recognition powered by PaddlePaddle.', long_description=readme(), long_description_content_type='text/markdown', url='https://github.com/PaddlePaddle/PaddleClas', download_url='https://github.com/PaddlePaddle/PaddleClas.git', keywords=[ 'image-classification', 'image-recognition', 'pretrained-models', 'knowledge-distillation', 'product-recognition', 'autoaugment', 'cutmix', 'randaugment', 'gridmask', 'deit', 'repvgg', 'swin-transformer', 'image-retrieval-system' ], classifiers=[ 'Development Status :: 5 - Production/Stable', 'Operating System :: OS Independent', 'Intended Audience :: Developers', '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', ], )