M3d-Cam/setup.py at master · MECLabTUDA/M3d-Cam · GitHub

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import setuptools

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

from setuptools.command.install import install


class MyInstall(install):
    def run(self):
        import subprocess, sys

        subprocess.call([sys.executable, "-m", "pip", "install", "opencv-python"])
        install.run(self)


setuptools.setup(
    name="medcam",
    version="0.1.22",
    author="Karol Gotkowski",
    author_email="KarolGotkowski@gmx.de",
    description="An easy to use library that makes model predictions more interpretable for humans.",
    long_description="An easy to use library that makes model predictions more interpretable for humans. M3d-CAM allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.",
    long_description_content_type="text/markdown",
    url="",
    packages=setuptools.find_packages(),
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    python_requires=">=3.6",
    install_requires=[
        "certifi",
        "cycler",
        "decorator",
        "future",
        "imageio",
        "kiwisolver",
        "Mako",
        "Markdown",
        "MarkupSafe",
        "matplotlib",
        "networkx",
        "nibabel",
        "numpy",
        "packaging",
        "pandas",
        "Pillow",
        "pyparsing",
        "python-dateutil",
        "pytz",
        "PyWavelets",
        "scikit-image",
        "scipy",
        "SimpleITK",
        "six",
    ],
    # extras_require={
    #     'extras': PostInstallExtrasInstaller.extras_install_by_default,
    # },
    cmdclass={
        "install": MyInstall,
    },
)