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setup.py
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setup.py
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from setuptools import setup
from setuptools import find_packages
with open("docs/README.PyPI.md", "r") as fh:
long_description = fh.read()
setup(
name='aucmedi',
version='0.10.0',
description='AUCMEDI - a framework for Automated Classification of Medical Images',
author='Dominik Müller',
author_email='dominik.mueller@informatik.uni-augsburg.de',
license='GPLv3',
long_description=long_description,
long_description_content_type="text/markdown",
url='https://frankkramer-lab.github.io/aucmedi/',
project_urls={
"Bug Tracker": "https://github.com/frankkramer-lab/aucmedi/issues",
"Documentation": "https://frankkramer-lab.github.io/aucmedi/reference/",
"Source Code": "https://github.com/frankkramer-lab/aucmedi",
},
packages=find_packages(),
entry_points={
'console_scripts': ['aucmedi = aucmedi.automl.main:main'],
},
python_requires='>=3.9',
install_requires=['tensorflow>=2.14.0',
'numpy>=1.23.5',
'pillow>=10.2.0',
'albumentations>=1.3.0',
'pandas>=1.5.2',
'scikit-learn>=1.3.0',
'scikit-image>=0.21.0',
'lime>=0.2.0.1',
'pooch>=1.6.0',
'classification-models-3D>=1.0.10',
# 'vit-keras>=0.1.2',
'Keras-Applications==1.0.8',
'SimpleITK>=2.2.0',
'batchgenerators>=0.25',
'volumentations-aucmedi>=1.0.1',
'plotnine==0.12.4',
'pathos>=0.3.0'],
classifiers=["Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
"Operating System :: OS Independent",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Science/Research",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Recognition",
"Topic :: Scientific/Engineering :: Medical Science Apps."]
)