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        "author": "Ricardo Ocampo",
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            "Intended Audience :: Developers",
            "License :: OSI Approved :: Apache Software License",
            "Programming Language :: Python :: 3.7",
            "Topic :: Scientific/Engineering :: Artificial Intelligence",
            "Topic :: Scientific/Engineering :: Image Recognition"
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        "description": ".. -*- mode: rst -*-\n\n|Travis|_ |PyPi|_\n\n.. |Travis| image:: https://travis-ci.com/ocampor/image-quality.svg?branch=master\n.. _Travis: https://travis-ci.com/ocampor/image-quality\n\n.. |PyPi| image:: https://img.shields.io/pypi/dm/image-quality?color=blue   :alt: PyPI - Downloads\n.. _PyPi: https://pypi.org/project/image-quality/\n\nImage Quality\n=============\n\nDescription\n-----------\n\nImage quality is an open source software library for Automatic Image\nQuality Assessment (IQA).\n\nDependencies\n------------\n\n-  Python 3.7\n-  LibSVM\n-  (Optional) Docker\n\nInstallation\n------------\n\nThe package is public and is hosted in PyPi repository. To install it in\nyour machine run\n\n::\n\n   pip install image-quality\n\nExample\n-------\n\nAfter installing ``image-quality`` package, you can test that it was\nsuccessfully installed running the following commands in a python\nterminal.\n\n::\n\n   >>> import imquality.brisque as brisque\n   >>> import PIL.Image\n\n   >>> path = 'path/to/image'\n   >>> img = PIL.Image.open(path)\n   >>> brisque.score(img)\n   4.9541572815704455\n\nReport Bugs\n-----------\n\nMaintainer\n----------\n\n-  Ricardo Ocampo - `me@ocampor.ai`_\n\n.. _me@ocampor.ai: me@ocampor.ai\n\n\n",
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        "keywords": "image,quality,reference,reference-less",
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