Metadata-Version: 1.1
Name: sed_eval
Version: 0.1.3
Summary: Evaluation toolbox for Sound Event Detection
Home-page: https://github.com/TUT-ARG/sed_eval
Author: Toni Heittola
Author-email: toni.heittola@gmail.com
License: MIT
Description: sed_eval - Evaluation toolbox for Sound Event Detection
        =======================================================
        
        .. image:: https://travis-ci.org/TUT-ARG/sed_eval.svg?branch=master
            :target: https://travis-ci.org/TUT-ARG/sed_eval
        
        .. image:: https://coveralls.io/repos/github/TUT-ARG/sed_eval/badge.svg?branch=master 
            :target: https://coveralls.io/github/TUT-ARG/sed_eval?branch=master
        
        sed_eval is an open source Python toolbox which provides a standardized, 
        and transparent way to evaluate sound event detection systems. 
        
        Authors
        
        - Toni Heittola (toni.heittola@tut.fi, `GitHub <https://github.com/toni-heittola>`_, `<http://www.cs.tut.fi/~heittolt/>`_)
        - Annamaria Mesaros (annamaria.mesaros@tut.fi, `<http://www.cs.tut.fi/~mesaros/>`_)
        
        Documentation
        =============
        
        See http://tut-arg.github.io/sed_eval for manual and tutorials.
        
        Installation instructions
        =========================
        
        The latest stable release is available on PyPI, and you can install with pip::
        
            pip install sed_eval
        
        Alternatively you can download or clone toolbox and use ``pip`` to handle dependencies::
        
            unzip sed_eval.zip
            pip install -e sed_eval
        
        
        or::
        
            git clone https://github.com/TUT-ARG/sed_eval.git
            pip install -e sed_eval
        
        
        Dependencies
        ------------
        
        The toolbox is tested to work with Python 2.7 and Python 3.6.
        
        - numpy >= 1.7.0
        
        Citing
        ======
        
        If you use sed_eval in a research project, please cite the following paper:
        
        Annamaria 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>`_]
        
        License
        =======
        
        Code released under `the MIT license <https://github.com/TUT-ARG/sed_eval/tree/master/LICENSE.txt>`_.
        
Keywords: audio analysis,sound event detection,dsp
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Programming Language :: Python :: 2.7
