setup.py

from setuptools import setup, find_packages

from slcpy.version import version

with open('README.rst') as readme_file:
    readme = readme_file.read()

with open('HISTORY.rst') as history_file:
    history = history_file.read()

requirements = ['click>=8.0.3',
                'setuptools>=57.1.0',
                'scikit-image>=0.19.1',
                'numpy>=1.20.0',
                'tifffile>=2021.7.2',
                'tqdm>=4.62.3',
                'imagecodecs>=2021.8.26',
                'opencv-python>=4.5.4.60',
                'scipy>=1.7.3',
                'open3d>=0.14.1']

setup(author="Robert Kiewisz",
      author_email='robert.kiewisz@gmail.com',
      python_requires='>=3.7',
      classifiers=[
          'Development Status :: 5 - Production/Stable',
          'Intended Audience :: Developers',
          'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
          'Natural Language :: English',
          'Programming Language :: Python :: 3.8',
      ],
      description="Python package to decode Amira 3D coordinate spatial graphs "
                  "into semantic label mask",
      entry_points={
          'console_scripts': [
              'slcpy_semantic=slcpy.build_semantic:main',
              'slcpy_stitch=slcpy.stitch_images:main',
              'slcpy_graph=slcpy.build_graph:main',
          ],
      },
      install_requires=requirements,
      license="GNU General Public License v3",
      long_description_content_type='text/x-rst',
      long_description=readme,
      include_package_data=True,
      keywords='slcpy',
      name='slcpy',
      packages=find_packages(include=['slcpy',
                                      'slcpy.*',
                                      'slcpy.utils.*']),
      url='https://github.com/SMLC-NYSBC/Semantic_Label_Creator',
      version=version,
      zip_safe=False)