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setup.py
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58 lines (55 loc) · 2.35 KB
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import os
from setuptools import setup, find_packages
dir_path = os.path.abspath(os.path.dirname(__file__))
path_to_md = os.path.join(dir_path, "PyPI_README.md")
with open(path_to_md, encoding='utf-8') as f:
readme = f.read()
f.close()
setup(name='kalmus',
version='1.3.15a',
description='kalmus film color analysis tool',
keywords='film, color analysis, data visualization',
long_description=readme,
long_description_content_type="text/markdown",
url='https://github.com/KALMUS-Color-Toolkit/KALMUS',
author='Yida Chen, Eric Faden, Nathan Ryan',
author_email='yc015@bucknell.edu',
license='MIT',
classifiers=[
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Operating System :: OS Independent",
"Topic :: Multimedia :: Video",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Software Development :: User Interfaces"
],
packages=find_packages(),
python_requires='>=3.10',
install_requires=[
'numpy>=1.23',
# headless variant: same cv2 API, no X/GL system libs required.
# kalmus uses cv2 only for image-processing (VideoCapture, cvtColor,
# kmeans, grabCut, ...); the GUI is tkinter, never cv2.imshow.
'opencv-python-headless>=4.6',
'scikit-image>=0.21', # channel_axis kwarg replaces multichannel
'matplotlib>=3.5',
'scikit-learn>=1.1',
'biopython>=1.80', # PairwiseAligner is the supported aligner
'scipy>=1.11', # stats.mode keepdims default change handled
'kiwisolver>=1.4',
'pandas>=1.5',
],
entry_points={
'console_scripts': ['kalmus-gui=kalmus.command_line_gui:main',
'kalmus-generator=kalmus.command_line_generator:main'],
},
include_package_data=True,
zip_safe=False)