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setup.py
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setup.py
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import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
required_packages = [
"torch", "torchvision", "scikit-learn", "pandas", "numpy", "matplotlib",
"kmeans_pytorch", "pytorch_metric_learning", "opencv-python", "Pillow",
"torchsummary"
]
setuptools.setup(
name="datl",
version="0.1",
author="Christoph Raab",
author_email="[email protected]",
description=
"DATL: Source Code for the paper Domain Adversarial Tangent Subspace Alignment for explainable domain adaptation.",
license="MIT",
url="https://github.com/ChristophRaab/datl",
packages=setuptools.find_packages(include=['datl', 'datl.*']),
python_requires=">=3.8",
install_requires=required_packages,
package_data={"": ["README.md", "LICENSE"]},
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
"Programming Language :: Python :: 3.8",
"Topic :: Scientific/Engineering :: Artificial Intelligence"
])