DCASE Utilities
===============
A collection of utilities for Detection and Classification of Acoustic
Scenes and Events
|Build Status| |Coverage Status| |PyPI| |License: MIT|
This collection of utilities is for Detection and Classification of
Acoustic Scenes and Events (DCASE). These utilities were originally
created for the DCASE challenge baseline systems
(`2016 <https://github.com/TUT-ARG/DCASE2016-baseline-system-python>`__
& `2017 <https://github.com/TUT-ARG/DCASE2017-baseline-system>`__) and
are bundled into a standalone library to allow their re-usage in other
research projects.
The main goal of the utilities is to streamline the research code, make
it more readable, and easier to maintain. Most of the implemented
utilities are related to audio datasets: handling meta data and various
forms of other structured data, and provide standardized usage API to
audio datasets from various sources.
Documentation
=============
See https://dcase-repo.github.io/dcase_util/ for detailed instruction,
manuals and tutorials.
Installation instructions
=========================
The latest stable release is available on PyPI, and you can install with
pip: ``pip install dcase_util``
License
=======
Code released under the `MIT
license <https://github.com/DCASE-REPO/dcase_util/tree/master/LICENSE>`__.
.. |Build Status| image:: https://travis-ci.org/DCASE-REPO/dcase_util.svg?branch=master
:target: https://travis-ci.org/DCASE-REPO/dcase_util
.. |Coverage Status| image:: https://coveralls.io/repos/github/DCASE-REPO/dcase_util/badge.svg?branch=master
:target: https://coveralls.io/github/DCASE-REPO/dcase_util?branch=master
.. |PyPI| image:: https://img.shields.io/pypi/v/dcase_util.svg
:target: https://pypi.python.org/pypi/dcase_util
.. |License: MIT| image:: https://img.shields.io/badge/license-MIT-blue.svg
:target: https://opensource.org/licenses/MIT
Raw data
{
"_id": null,
"home_page": "https://github.com/DCASE-REPO/dcase_util",
"name": "dcase-util",
"maintainer": "",
"docs_url": null,
"requires_python": "",
"maintainer_email": "",
"keywords": "audio sound",
"author": "Toni Heittola",
"author_email": "toni.heittola@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/3f/a0/c8277b774a01df12179337f70ee004ddf0d4661e9c1e866628b3b3d1c4e4/dcase_util-0.2.20.tar.gz",
"platform": null,
"description": "DCASE Utilities\n===============\n\nA collection of utilities for Detection and Classification of Acoustic\nScenes and Events\n\n|Build Status| |Coverage Status| |PyPI| |License: MIT|\n\nThis collection of utilities is for Detection and Classification of\nAcoustic Scenes and Events (DCASE). These utilities were originally\ncreated for the DCASE challenge baseline systems\n(`2016 <https://github.com/TUT-ARG/DCASE2016-baseline-system-python>`__\n& `2017 <https://github.com/TUT-ARG/DCASE2017-baseline-system>`__) and\nare bundled into a standalone library to allow their re-usage in other\nresearch projects.\n\nThe main goal of the utilities is to streamline the research code, make\nit more readable, and easier to maintain. Most of the implemented\nutilities are related to audio datasets: handling meta data and various\nforms of other structured data, and provide standardized usage API to\naudio datasets from various sources.\n\nDocumentation\n=============\n\nSee https://dcase-repo.github.io/dcase_util/ for detailed instruction,\nmanuals and tutorials.\n\nInstallation instructions\n=========================\n\nThe latest stable release is available on PyPI, and you can install with\npip: ``pip install dcase_util``\n\nLicense\n=======\n\nCode released under the `MIT\nlicense <https://github.com/DCASE-REPO/dcase_util/tree/master/LICENSE>`__.\n\n.. |Build Status| image:: https://travis-ci.org/DCASE-REPO/dcase_util.svg?branch=master\n :target: https://travis-ci.org/DCASE-REPO/dcase_util\n.. |Coverage Status| image:: https://coveralls.io/repos/github/DCASE-REPO/dcase_util/badge.svg?branch=master\n :target: https://coveralls.io/github/DCASE-REPO/dcase_util?branch=master\n.. |PyPI| image:: https://img.shields.io/pypi/v/dcase_util.svg\n :target: https://pypi.python.org/pypi/dcase_util\n.. |License: MIT| image:: https://img.shields.io/badge/license-MIT-blue.svg\n :target: https://opensource.org/licenses/MIT\n\n\n",
"bugtrack_url": null,
"license": "MIT",
"summary": "A collection of utilities for Detection and Classification of Acoustic Scenes and Events",
"version": "0.2.20",
"project_urls": {
"Download": "https://github.com/DCASE-REPO/dcase_util/releases",
"Homepage": "https://github.com/DCASE-REPO/dcase_util"
},
"split_keywords": [
"audio",
"sound"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "3fa0c8277b774a01df12179337f70ee004ddf0d4661e9c1e866628b3b3d1c4e4",
"md5": "ab65a9229a2ed2786633b80389c8ae32",
"sha256": "47faa133c1e56b6709d284792d8e23793368866ee887dd098027a643fa8d7275"
},
"downloads": -1,
"filename": "dcase_util-0.2.20.tar.gz",
"has_sig": false,
"md5_digest": "ab65a9229a2ed2786633b80389c8ae32",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 2116771,
"upload_time": "2022-06-09T22:12:44",
"upload_time_iso_8601": "2022-06-09T22:12:44.134353Z",
"url": "https://files.pythonhosted.org/packages/3f/a0/c8277b774a01df12179337f70ee004ddf0d4661e9c1e866628b3b3d1c4e4/dcase_util-0.2.20.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2022-06-09 22:12:44",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "DCASE-REPO",
"github_project": "dcase_util",
"travis_ci": true,
"coveralls": false,
"github_actions": false,
"requirements": [],
"lcname": "dcase-util"
}
JSON
