setup.py

from setuptools import setup, find_packages
from codecs import open
from os import path

with open('requirements.txt') as f:
    requirements = f.read().splitlines()

# Get README
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
    long_description = f.read()

# Get Release version
path_version = path.join(this_directory, 'ivadomed', 'version.txt')
with open(path_version) as f:
    version = f.read().strip()


setup(
    name='ivadomed',
    version=version,
    description='Feature conditioning for IVADO medical imaging project.',
    long_description=long_description,
    long_description_content_type='text/markdown',
    url='https://github.com/neuropoly/ivadomed',
    author='NeuroPoly and Mila',
    author_email='none@none.com',
    classifiers=[
        'Development Status :: 3 - Alpha',
        'Intended Audience :: Developers',
        'Programming Language :: Python :: 3',
    ],
    python_requires='>=3.6, <3.9',
    packages=find_packages(exclude=['docs', 'tests']),
    include_package_data=True,
    install_requires=requirements,
    extras_require={
        'docs': [  # pin sphinx to match what RTD uses:
            # https://github.com/readthedocs/readthedocs.org/blob/ecac31de54bbb2c100f933e86eb22b0f4389ba84/requirements/pip.txt#L16
            'sphinx<2',
            'sphinx-rtd-theme<0.5',
        ],
        'dev': ["pre-commit>=2.10.0"]
    },
    entry_points={
        'console_scripts': [
            'ivadomed=ivadomed.main:run_main',
            'ivadomed_prepare_dataset_vertebral_labeling=ivadomed.scripts.prepare_dataset_vertebral_labeling:main',
            'ivadomed_automate_training=ivadomed.scripts.automate_training:main',
            'ivadomed_compare_models=ivadomed.scripts.compare_models:main',
            'ivadomed_visualize_transforms=ivadomed.scripts.visualize_transforms:main',
            'ivadomed_convert_to_onnx=ivadomed.scripts.convert_to_onnx:main',
            'ivadomed_extract_small_dataset=ivadomed.scripts.extract_small_dataset:main',
            'ivadomed_download_data=ivadomed.scripts.download_data:main',
            'ivadomed_training_curve=ivadomed.scripts.training_curve:main'
        ],
    },
)