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from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="factorizer",
version="0.0.2",
author="Pooya Ashtari",
author_email="pooya.ash@gmail.com",
description="Factorizer - PyTorch",
license="Apache 2.0",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/pashtari/factorizer",
project_urls={
"Bug Tracker": "https://github.com/pashtari/factorizer/issues",
"Source Code": "https://github.com/pashtari/factorizer",
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: Apache Software License",
"Operating System :: OS Independent",
"Topic :: Scientific/Engineering",
],
keywords=[
"machine learning",
"deep learning",
"image segmentation",
"medical image segmentation",
"matrix factorization",
"tensor factorization",
"Factorizer",
],
packages=find_packages(),
python_requires=">=3.10",
install_requires=[
"torch",
"torchvision",
"sympy",
"opt-einsum",
"einops",
"networkx",
"plotly",
],
)