setup.py

import setuptools

with open("README.md", "r", encoding="utf-8") as fh:
    long_description = fh.read()

setuptools.setup(
    name="atomvision",
    version="2023.5.6",
    author="Kamal Choudhary, Brian DeCost",
    author_email="kamal.choudhary@nist.gov",
    description="atomvision",
    install_requires=[
        "numpy>=1.19.5",
        "scipy>=1.6.3",
        "jarvis-tools>=2021.07.19",
        "alignn>=2022.10.23",
        "beautifulsoup4>=4.11.1",
        "scikit-image>=0.19.3",
        "torch>=1.12.0",
        "pyparsing==2.2.1",
        "opencv-python>=4.6.0.66",
        "typer",
        "python-dotenv",
        "segmentation-models-pytorch>=0.2.1",
        # "torchvision>=0.10.0+cu111",
        "Pillow>=9.2.0",
        "torchvision>=0.13.0",
        "scikit-learn>=0.24.1",
        "matplotlib>=3.4.1",
        "seaborn>=0.11.2",
        "tqdm>=4.60.0",
        "pandas>=1.2.4",
        "pytorch-ignite>=0.5.0.dev20221024",
        "pydantic==1.8.1",
        "flake8>=3.9.1",
        "pycodestyle>=2.7.0",
        "pydocstyle>=6.0.0",
    ],
    scripts=[
        "atomvision/scripts/train_tsne.py",
        "atomvision/scripts/train_gan.py",
        "atomvision/scripts/train_classifier_cnn.py",
        "atomvision/scripts/train_autoencoder.py",
        "atomvision/scripts/train_classifier_alignn.py",
        "atomvision/scripts/train_segmentation.py",
        "atomvision/scripts/stem_conv.py",
    ],
    long_description=long_description,
    long_description_content_type="text/markdown",
    url="https://github.com/usnistgov/atomvision",
    packages=setuptools.find_packages(),
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    python_requires=">=3.7",
)