.. image:: https://travis-ci.org/craffel/mir_eval.svg?branch=master
:target: https://travis-ci.org/craffel/mir_eval
.. image:: https://coveralls.io/repos/craffel/mir_eval/badge.svg?branch=master&service=github
:target: https://coveralls.io/github/craffel/mir_eval?branch=master
mir_eval
========
Python library for computing common heuristic accuracy scores for various music/audio information retrieval/signal processing tasks.
Documentation, including installation and usage information: http://craffel.github.io/mir_eval/
If 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/
Dependencies:
* `Scipy/Numpy <http://www.scipy.org/>`_
* future
* six
If you use mir_eval in a research project, please cite the following paper:
Colin Raffel, Brian McFee, Eric J. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P. W. Ellis, "`mir_eval: A Transparent Implementation of Common MIR Metrics <http://colinraffel.com/publications/ismir2014mir_eval.pdf>`_", Proceedings of the 15th International Conference on Music Information Retrieval, 2014.
Raw data
{
"_id": null,
"home_page": "https://github.com/craffel/mir_eval",
"name": "mir_eval",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "audio music mir dsp",
"author": "Colin Raffel",
"author_email": "craffel@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/6b/4b/2cf10b8f0b4bbd9206d871d591d4b5ab4909c1193644df9656d57d6cf978/mir_eval-0.7.tar.gz",
"platform": "",
"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 <http://www.scipy.org/>`_\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. Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, and Daniel P. W. Ellis, \"`mir_eval: A Transparent Implementation of Common MIR Metrics <http://colinraffel.com/publications/ismir2014mir_eval.pdf>`_\", Proceedings of the 15th International Conference on Music Information Retrieval, 2014.\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "Common metrics for common audio/music processing tasks.",
"version": "0.7",
"split_keywords": [
"audio",
"music",
"mir",
"dsp"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "6b4b2cf10b8f0b4bbd9206d871d591d4b5ab4909c1193644df9656d57d6cf978",
"md5": "c0aa0ad140c2bb36e088837c00d4ecd7",
"sha256": "e1febaa5766c65a7545c2a170b241490f47a98987370b1e06742424c5debe65e"
},
"downloads": -1,
"filename": "mir_eval-0.7.tar.gz",
"has_sig": false,
"md5_digest": "c0aa0ad140c2bb36e088837c00d4ecd7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 90693,
"upload_time": "2022-02-16T21:13:17",
"upload_time_iso_8601": "2022-02-16T21:13:17.475745Z",
"url": "https://files.pythonhosted.org/packages/6b/4b/2cf10b8f0b4bbd9206d871d591d4b5ab4909c1193644df9656d57d6cf978/mir_eval-0.7.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-02-16 21:13:17",
"github": true,
"gitlab": false,
"bitbucket": false,
"github_user": "craffel",
"github_project": "mir_eval",
"travis_ci": true,
"coveralls": true,
"github_actions": false,
"lcname": "mir_eval"
}
JSON
