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setup.py
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setup.py
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import setuptools
from os import path
VERSION = '1.0.19'
# Get the long description from the README file
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), 'r') as f:
long_description = f.read()
setuptools.setup(name='vision_datasets',
author='Ping Jin, Shohei Ono',
description='A utility repo for vision dataset access and management.',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/microsoft/vision-datasets',
version=VERSION,
python_requires='>=3.8',
license='MIT',
keywords='vision datasets classification detection',
packages=setuptools.find_packages(),
package_data={'': ['resources/*']},
install_requires=[
'azure-identity',
'azure-storage-blob',
'numpy>=1.18.3',
'Pillow>=6.2.2',
'requests>=2.23.0',
'tenacity>=6.2.0',
'tqdm'
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
],
extras_require={
'torch': ['torch>=1.6.0'],
'plot': ['matplotlib'],
},
entry_points={
'console_scripts': ['vision_download=vision_datasets.commands.download_dataset:main',
'vision_check_dataset=vision_datasets.commands.check_dataset:main',
'vision_transform_images=vision_datasets.commands.transform_images:main',
'vision_convert_od_to_ic=vision_datasets.commands.converter_od_to_ic:main',
'vision_convert_to_aml_coco=vision_datasets.commands.converter_to_aml_coco:main',
'vision_list_supported_operations=vision_datasets.commands.list_operations_by_data_type:main',
'vision_convert_to_line_oriented_format=vision_datasets.commands.converter_to_line_oriented_format:main']
})