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setup.py
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setup.py
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"""Setup tool for DLMUSE."""
from pathlib import Path
from setuptools import find_packages, setup
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
with open('requirements.txt') as f:
required = f.read().splitlines()
setup(
name="DLMUSE",
version="1.0.3",
description="DLMUSE - Deep Learning MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters",
long_description=long_description,
long_description_content_type="text/markdown",
author="Guray Erus, Vishnu Bashyam, George Aidinis, Kyunglok Baik, Alexander Getka, Wu Di",
author_email="[email protected]",
maintainer="George Aidinis, Spiros Maggioros, Kyunglok Baik, Alexander Getka",
download_url="https://github.com/CBICA/DLMUSE/",
url="https://github.com/CBICA/DLMUSE/",
packages=find_packages(exclude=["tests", ".github"]),
python_requires=">=3.8",
install_requires=required,
entry_points={"console_scripts": ["DLMUSE = DLMUSE.__main__:main"]},
classifiers=[
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Intended Audience :: Healthcare Industry",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Image Processing",
"Topic :: Scientific/Engineering :: Medical Science Apps.",
],
license="By installing/using DLMUSE, the user agrees to the following license: See https://www.med.upenn.edu/cbica/software-agreement-non-commercial.html",
keywords=[
"deep learning",
"image segmentation",
"semantic segmentation",
"medical image analysis",
"medical image segmentation",
"nnU-Net",
"nnunet",
],
package_data={
"DLMUSE": ["VERSION"]
},
)