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setup.py
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setup.py
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from setuptools import setup, find_packages
from xtreme_vision import __version__
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name = 'xtreme_vision',
version = __version__,
description = 'A Python Library for Computer Vision tasks like Object Detection, Segmentation, Pose Estimation etc',
url = "https://github.com/Adeel-Intizar/Xtreme-Vision",
author = "Adeel Intizar",
author_email = "[email protected]",
maintainer = "Adeel Intizar",
maintainer_email = "[email protected]",
long_description = long_description,
long_description_content_type="text/markdown",
packages = find_packages(),
include_package_data=True,
python_requires='>=3.5, <4',
classifiers = [
'Development Status :: 5 - Production/Stable',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Information Technology',
'License :: OSI Approved :: MIT License',
'Natural Language :: English',
'Operating System :: OS Independent',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Image Processing',
'Topic :: Scientific/Engineering :: Image Recognition'
],
keywords = [
"object detection",
"computer vision",
"pose estimation",
'machine learning',
'deep learning',
'artificial intelligence',
'xtreme vision',
'segmentation',
'yolo',
'retinanet',
'centernet',
'yolov4',
'deeplab',
'tinyyolo'],
install_requires = [
"tensorflow",
'opencv-python',
'numpy',
'pillow',
'matplotlib',
'pandas',
'scikit-learn',
'progressbar2',
'scipy',
'h5py',
'imgaug',
'scikit-image',
'labelme2coco',
'configobj',
],
project_urls={
'Bug Reports': 'https://github.com/Adeel-Intizar/Xtreme-Vision/issues',
'Funding': 'https://patreon.com/adeelintizar',
'Say Thanks!': 'https://saythanks.io/to/kingadeel2017%40outlook.com',
'Source': 'https://github.com/Adeel-Intizar/Xtreme-Vision/'},
)