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setup.py
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setup.py
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from setuptools import setup, find_packages
import pathlib
here = pathlib.Path(__file__).parent.resolve()
long_description = (here / 'README.md').read_text(encoding='utf-8')
setup(
name='DL+DiReCT',
version='1.0.0',
description='DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation',
long_description=long_description,
long_description_content_type='text/markdown',
url='https://github.com/SCAN-NRAD/DL-DiReCT',
classifiers=[
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Science/Research',
'Topic :: Scientific/Engineering',
'Programming Language :: Python :: 3',
],
keywords='brain morphometry, cortical thickness, MRI, neuroimaging, neuroanatomy segmentation, deep-learning',
package_dir={'': 'src'},
packages=find_packages(where='src'),
python_requires='>=3.7',
install_requires=['antspyx>=0.3.5',
'HD_BET @ https://github.com/MIC-DKFZ/HD-BET/archive/refs/heads/master.zip#egg=HD_BET-1.0',
'nibabel>=3.2.1',
'numpy<2.0.0',
'pandas>=0.25.3',
'pyradiomics>=3.0.1',
'scikit-learn>=0.21.3',
'scikit-image>=0.16.2',
'scipy>=1.3.3',
'torch>=1.3.1'],
dependency_links=['https://github.com/MIC-DKFZ/HD-BET/archive/refs/heads/master.zip#egg=HD_BET-1.0'],
entry_points={'console_scripts': ['dl+direct=run_script:run', 'direct=run_script:run', 'batch-dl+direct=run_script:run',
'stats2table=stats2table:main', 'radiomics_extractor=radiomics_extractor:main', 'radiomics2table=radiomics2table:main']},
project_urls={ # Optional
#'Bug Reports': 'https://github.com/SCAN-NRAD/DL-DiReCT/issues',
'Source': 'https://github.com/SCAN-NRAD/DL-DiReCT',
'Publication': 'https://doi.org/10.1002/hbm.25159'
},
)