https://github.com/fepegar/torchio
Tip revision: 31d4642452cc79adadd54c22c7f9d7d81aaced98 authored by Fernando Perez-Garcia on 26 March 2021, 11:18:31 UTC
Bump version: 0.18.30 → 0.18.31
Bump version: 0.18.30 → 0.18.31
Tip revision: 31d4642
setup.py
#!/usr/bin/env python
"""The setup script."""
from setuptools import setup, find_packages
with open('README.md', encoding='utf8') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst', encoding='utf8') as history_file:
history = history_file.read()
requirements = [
'Click',
'Deprecated',
'humanize',
'nibabel',
'numpy',
'scipy',
'torch>=1.1',
'tqdm',
]
# New versions of Slicer need SimpleITK 2, but SimpleITK is preferred
# because of https://github.com/SimpleITK/SimpleITK/issues/1239
try:
import SimpleITK # noqa: F401
except ImportError:
requirements.append('SimpleITK<2')
setup(
author='Fernando Perez-Garcia',
author_email='fernando.perezgarcia.17@ucl.ac.uk',
python_requires='>=3.6',
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
],
description=(
'Tools for loading, augmenting and writing 3D medical images'
' on PyTorch.'
),
entry_points={
'console_scripts': [
'torchio-transform=torchio.cli.apply_transform:main',
'tiohd=torchio.cli.print_info:main',
],
},
extras_require={
'plot': ['matplotlib'],
},
install_requires=requirements,
license='MIT license',
long_description=readme + '\n\n' + history,
long_description_content_type='text/markdown',
include_package_data=True,
keywords='torchio',
name='torchio',
packages=find_packages(include=['torchio', 'torchio.*']),
setup_requires=[],
test_suite='tests',
tests_require=[],
url='https://github.com/fepegar/torchio',
version='0.18.31',
zip_safe=False,
)