{ "info": { "author": "Colin Raffel", "author_email": "craffel@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Programming Language :: Python", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Topic :: Multimedia :: Sound/Audio :: Analysis" ], "description": ".. image:: https://travis-ci.org/craffel/mir_eval.svg?branch=master\n :target: https://travis-ci.org/craffel/mir_eval\n.. image:: https://coveralls.io/repos/craffel/mir_eval/badge.svg?branch=master&service=github\n :target: https://coveralls.io/github/craffel/mir_eval?branch=master\n\nmir_eval\n========\n\nPython library for computing common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.\n\nDocumentation, including installation and usage information: http://craffel.github.io/mir_eval/\n\nIf you're looking for the mir_eval web service, which you can use to run mir_eval without installing anything or writing any code, it can be found here: http://labrosa.ee.columbia.edu/mir_eval/\n\nDependencies:\n\n* `Scipy/Numpy `_\n* future\n* six\n\nIf you use mir_eval in a research project, please cite the following paper:\n\nColin Raffel, Brian McFee, Eric J. 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