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setup.py
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from setuptools import setup, find_packages
from os import path
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
# Get the release/version string
with open(path.join(here, 'RELEASE'), encoding='utf-8') as f:
release = f.read()
setup(
name='machinevision-toolbox-python',
version=release,
# This is a one-line description or tagline of what your project does. This
# corresponds to the "Summary" metadata field:
description='Machine vision capability for Python.', #TODO
long_description=long_description,
long_description_content_type='text/markdown',
classifiers=[
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Developers',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: MIT License',
# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 3 :: Only'],
project_urls={
'Documentation': 'https://petercorke.github.io/machinevision-toolbox-python',
'Source': 'https://github.com/petercorke/machinevision-toolbox-python',
'Tracker': 'https://github.com/petercorke/machinevision-toolbox-python/issues',
'Coverage': 'https://codecov.io/gh/petercorke/machinevision-toolbox-python'
},
url='https://github.com/petercorke/machinevision-toolbox-python',
author='Peter Corke',
author_email='rvc@petercorke.com', #TODO
keywords='python machine-vision computer-vision color blobs',
license='MIT', #TODO
python_requires='>=3.5',
packages=find_packages(exclude=["test_*", "TODO*"]),
install_requires=['numpy', 'scipy', 'matplotlib', 'spatialmath-python']
)