Skip to main content

Common metrics for common audio/music processing tasks.

Project description

https://anaconda.org/conda-forge/mir_eval/badges/version.svg https://img.shields.io/pypi/v/mir_eval.svg https://github.com/mir-evaluation/mir_eval/actions/workflows/test.yml/badge.svg https://codecov.io/gh/mir-evaluation/mir_eval/graph/badge.svg?token=OzRL3aW7TX https://img.shields.io/pypi/l/mir_eval.svg

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: https://mir-evaluation.github.io/mir_eval/

Dependencies:

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”, Proceedings of the 15th International Conference on Music Information Retrieval, 2014.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mir_eval-0.8.2.tar.gz (117.6 kB view details)

Uploaded Source

Built Distribution

mir_eval-0.8.2-py3-none-any.whl (102.8 kB view details)

Uploaded Python 3

File details

Details for the file mir_eval-0.8.2.tar.gz.

File metadata

  • Download URL: mir_eval-0.8.2.tar.gz
  • Upload date:
  • Size: 117.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mir_eval-0.8.2.tar.gz
Algorithm Hash digest
SHA256 141a3e1193276889fc32e911547e73dcb3e829ee8cfea60f7bbcd633c0792569
MD5 175c0454b1a38c3fcac433147030056f
BLAKE2b-256 28db3bf39fc9ab0fb757f297f9a0da7207e823688291f9e61bb67b44fa17bc2f

See more details on using hashes here.

Provenance

The following attestation bundles were made for mir_eval-0.8.2.tar.gz:

Publisher: release.yml on mir-evaluation/mir_eval

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mir_eval-0.8.2-py3-none-any.whl.

File metadata

  • Download URL: mir_eval-0.8.2-py3-none-any.whl
  • Upload date:
  • Size: 102.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for mir_eval-0.8.2-py3-none-any.whl
Algorithm Hash digest
SHA256 114cda33d8e17408c170598e0b36ed0d71ff4a2fee8eaf9e165b58ecf1c87170
MD5 8455a7d35a8500a0f081a856e7704ade
BLAKE2b-256 1b5a69ce896a32ebc8c75deae00b1fba9837567405fa6ef37b377f2e85b856ae

See more details on using hashes here.

Provenance

The following attestation bundles were made for mir_eval-0.8.2-py3-none-any.whl:

Publisher: release.yml on mir-evaluation/mir_eval

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page