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setup.py
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setup.py
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from setuptools import find_packages # ,setup
from distutils.core import setup
setup(
name = 'mvtorch', # How you named your package folder (MyLib)
# packages=['mvtorch', 'mvtorch.models'], # Chose the same as "name"
version = '0.1.0', # Start with a small number and increase it with every change you make
license='MIT', # Chose a license from here: https://help.github.com/articles/licensing-a-repository
description = 'A modular Pytroch library for multi-view research on 3D understanding and 3D generation.', # Give a short description about your library
author = 'Abdullah Hamdi', # Type in your name
author_email = 'abdullah.hamdi@kaust.edu.sa', # Type in your E-Mail
packages=find_packages(include=("mvtorch*")),
url = 'https://github.com/ajhamdi/mvtorch', # Provide either the link to your github or to your website
download_url = 'https://github.com/ajhamdi/mvtorch/archive/v0.1.tar.gz', # I explain this later on
keywords = ['pytorch', 'multi-view', '3d understanding',"nerfs"], # Keywords that define your package best
install_requires=[ # I get to this in a second
'numpy', 'pandas', "trimesh", "imageio", "einops", "scipy", "matplotlib", "ptflops", "tensorboard", "h5py", "metric-learn", "timm",
],
dependency_links=["git+https://github.com/openai/CLIP.git"],
classifiers=[
'Development Status :: 3 - Alpha', # Chose either "3 - Alpha", "4 - Beta" or "5 - Production/Stable" as the current state of your package
'Intended Audience :: Developers', # Define that your audience are developers
'Topic :: Software Development :: Build Tools',
'License :: OSI Approved :: MIT License', # Again, pick a license
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
)