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            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2.7",
            "Topic :: Multimedia :: Sound/Audio :: Analysis"
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        "description": "sed_eval - Evaluation toolbox for Sound Event Detection\n=======================================================\n\n.. image:: https://travis-ci.org/TUT-ARG/sed_eval.svg?branch=master\n    :target: https://travis-ci.org/TUT-ARG/sed_eval\n\n.. image:: https://coveralls.io/repos/github/TUT-ARG/sed_eval/badge.svg?branch=master \n    :target: https://coveralls.io/github/TUT-ARG/sed_eval?branch=master\n\n.. image:: https://img.shields.io/pypi/v/sed_eval.svg\n    :target: https://pypi.python.org/pypi/sed_eval\n\n.. image:: https://img.shields.io/badge/license-MIT-blue.svg\n    :target: https://opensource.org/licenses/MIT\n\nsed_eval is an open source Python toolbox which provides a standardized, \nand transparent way to evaluate sound event detection systems. \n\nAuthors\n\n- Toni Heittola (toni.heittola@tut.fi, `GitHub <https://github.com/toni-heittola>`_, `<http://www.cs.tut.fi/~heittolt/>`_)\n- Annamaria Mesaros (annamaria.mesaros@tut.fi, `<http://www.cs.tut.fi/~mesaros/>`_)\n\nDocumentation\n=============\n\nSee http://tut-arg.github.io/sed_eval for manual and tutorials.\n\nInstallation instructions\n=========================\n\nThe latest stable release is available on PyPI, and you can install with pip::\n\n    pip install sed_eval\n\nAlternatively you can download or clone toolbox and use ``pip`` to handle dependencies::\n\n    unzip sed_eval.zip\n    pip install -e sed_eval\n\n\nor::\n\n    git clone https://github.com/TUT-ARG/sed_eval.git\n    pip install -e sed_eval\n\n\nDependencies\n------------\n\nThe toolbox is tested to work with Python 2.7 and Python 3.6.\n\n- numpy >= 1.7.0\n- dcase_util >= 0.2.4\n\nCiting\n======\n\nIf you use sed_eval in a research project, please cite the following paper:\n\nAnnamaria Mesaros, Toni Heittola, and Tuomas Virtanen, \"Metrics for polyphonic sound event detection\", Applied Sciences, 6(6):162, 2016 [`HTML <http://www.mdpi.com/2076-3417/6/6/162>`_][`PDF <http://www.mdpi.com/2076-3417/6/6/162/pdf>`_]\n\nLicense\n=======\n\nCode released under `the MIT license <https://github.com/TUT-ARG/sed_eval/tree/master/LICENSE.txt>`_.",
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