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setup.py
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setup.py
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# Copyright 2019-2024 The Van Valen Lab at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.github.com/vanvalenlab/deepcell-spots/LICENSE
#
# The Work provided may be used for non-commercial academic purposes only.
# For any other use of the Work, including commercial use, please contact:
# vanvalenlab@gmail.com
#
# Neither the name of Caltech nor the names of its contributors may be used
# to endorse or promote products derived from this software without specific
# prior written permission.
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
import os
from codecs import open
from setuptools import setup, find_packages
here = os.path.abspath(os.path.dirname(__file__))
with open(os.path.join(here, 'README.md'), 'r', 'utf-8') as f:
readme = f.read()
about = {}
with open(os.path.join(here, 'deepcell_spots', '_version.py'), 'r', 'utf-8') as f:
exec(f.read(), about)
setup(
name=about['__title__'],
version=about['__version__'],
author=about['__author__'],
author_email=about['__author_email__'],
description=about['__description__'],
url=about['__url__'],
download_url=about['__download_url__'],
license=about['__license__'],
long_description=readme,
long_description_content_type='text/markdown',
install_requires=[
'pandas<2',
'numpy',
'scipy<2',
'scikit-image>=0.19.3',
'scikit-learn',
'tensorflow~=2.8.0',
'jupyter>=1.0.0,<2',
'networkx>=2.1',
'opencv-python-headless<5',
'deepcell>=0.12.7',
'tqdm',
'trackpy',
'plotly',
'statsmodels',
'torch',
'torchvision',
'pyro-ppl'
],
extras_require={
'tests': [
'pytest',
'pytest-cov',
],
},
packages=find_packages(),
python_requires='>=3.7, <3.11',
classifiers=[
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Topic :: Scientific/Engineering',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Bio-Informatics',
'Topic :: Scientific/Engineering :: Image Processing',
'Topic :: Scientific/Engineering :: Image Recognition',
'Topic :: Software Development :: Libraries',
'Topic :: Software Development :: Libraries :: Python Modules'
]
)