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Repository: TUT-ARG/sed_eval
Branch: master
Commit: 0cb1b6d11cee
Files: 283
Total size: 4.3 MB
Directory structure:
gitextract_rwh6jdyn/
├── .coveragerc
├── .gitignore
├── .travis.yml
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE.txt
├── README.rst
├── docs/
│ ├── .buildinfo
│ ├── .nojekyll
│ ├── _modules/
│ │ ├── index.html
│ │ └── sed_eval/
│ │ ├── audio_tag.html
│ │ ├── io.html
│ │ ├── metric.html
│ │ ├── scene.html
│ │ ├── sound_event.html
│ │ ├── test.html
│ │ └── util/
│ │ ├── event_list.html
│ │ ├── event_matching.html
│ │ ├── event_roll.html
│ │ └── scene_list.html
│ ├── _sources/
│ │ ├── audio_tag.rst.txt
│ │ ├── changelog.rst.txt
│ │ ├── generated/
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.reset.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.rst.txt
│ │ │ ├── sed_eval.io.load_event_list.rst.txt
│ │ │ ├── sed_eval.io.load_file_pair_list.rst.txt
│ │ │ ├── sed_eval.io.load_scene_list.rst.txt
│ │ │ ├── sed_eval.metric.accuracy.rst.txt
│ │ │ ├── sed_eval.metric.accuracy2.rst.txt
│ │ │ ├── sed_eval.metric.balanced_accuracy.rst.txt
│ │ │ ├── sed_eval.metric.deletion_rate.rst.txt
│ │ │ ├── sed_eval.metric.equal_error_rate.rst.txt
│ │ │ ├── sed_eval.metric.error_rate.rst.txt
│ │ │ ├── sed_eval.metric.f_measure.rst.txt
│ │ │ ├── sed_eval.metric.insertion_rate.rst.txt
│ │ │ ├── sed_eval.metric.precision.rst.txt
│ │ │ ├── sed_eval.metric.recall.rst.txt
│ │ │ ├── sed_eval.metric.sensitivity.rst.txt
│ │ │ ├── sed_eval.metric.specificity.rst.txt
│ │ │ ├── sed_eval.metric.substitution_rate.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.reset.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.reset.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_overall.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.reset.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.rst.txt
│ │ │ ├── sed_eval.test.mcnemar.rst.txt
│ │ │ ├── sed_eval.util.event_list.filter_event_list.rst.txt
│ │ │ ├── sed_eval.util.event_list.max_event_offset.rst.txt
│ │ │ ├── sed_eval.util.event_list.unique_event_labels.rst.txt
│ │ │ ├── sed_eval.util.event_list.unique_files.rst.txt
│ │ │ ├── sed_eval.util.event_matching.bipartite_match.rst.txt
│ │ │ ├── sed_eval.util.event_roll.event_list_to_event_roll.rst.txt
│ │ │ ├── sed_eval.util.event_roll.match_event_roll_lengths.rst.txt
│ │ │ ├── sed_eval.util.event_roll.pad_event_roll.rst.txt
│ │ │ └── sed_eval.util.scene_list.unique_scene_labels.rst.txt
│ │ ├── glossary.rst.txt
│ │ ├── index.rst.txt
│ │ ├── install.rst.txt
│ │ ├── io.rst.txt
│ │ ├── metric.rst.txt
│ │ ├── scene.rst.txt
│ │ ├── sound_event.rst.txt
│ │ ├── test.rst.txt
│ │ ├── tutorial.rst.txt
│ │ └── util.rst.txt
│ ├── _static/
│ │ ├── basic.css
│ │ ├── css/
│ │ │ ├── badge_only.css
│ │ │ └── theme.css
│ │ ├── doctools.js
│ │ ├── jquery-3.1.0.js
│ │ ├── jquery.js
│ │ ├── js/
│ │ │ └── theme.js
│ │ ├── pygments.css
│ │ ├── searchtools.js
│ │ ├── theme_overrides.css
│ │ ├── underscore-1.3.1.js
│ │ ├── underscore.js
│ │ └── websupport.js
│ ├── audio_tag.html
│ ├── changelog.html
│ ├── generated/
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.evaluate.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.reset.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.html
│ │ ├── sed_eval.io.load_event_list.html
│ │ ├── sed_eval.io.load_file_pair_list.html
│ │ ├── sed_eval.io.load_scene_list.html
│ │ ├── sed_eval.metric.accuracy.html
│ │ ├── sed_eval.metric.accuracy2.html
│ │ ├── sed_eval.metric.balanced_accuracy.html
│ │ ├── sed_eval.metric.deletion_rate.html
│ │ ├── sed_eval.metric.equal_error_rate.html
│ │ ├── sed_eval.metric.error_rate.html
│ │ ├── sed_eval.metric.f_measure.html
│ │ ├── sed_eval.metric.insertion_rate.html
│ │ ├── sed_eval.metric.precision.html
│ │ ├── sed_eval.metric.recall.html
│ │ ├── sed_eval.metric.sensitivity.html
│ │ ├── sed_eval.metric.specificity.html
│ │ ├── sed_eval.metric.substitution_rate.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.evaluate.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.reset.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_parameters.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.evaluate.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.reset.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_overall.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_parameters.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.evaluate.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.reset.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.html
│ │ ├── sed_eval.test.mcnemar.html
│ │ ├── sed_eval.util.event_list.filter_event_list.html
│ │ ├── sed_eval.util.event_list.max_event_offset.html
│ │ ├── sed_eval.util.event_list.unique_event_labels.html
│ │ ├── sed_eval.util.event_list.unique_files.html
│ │ ├── sed_eval.util.event_matching.bipartite_match.html
│ │ ├── sed_eval.util.event_roll.event_list_to_event_roll.html
│ │ ├── sed_eval.util.event_roll.match_event_roll_lengths.html
│ │ ├── sed_eval.util.event_roll.pad_event_roll.html
│ │ └── sed_eval.util.scene_list.unique_scene_labels.html
│ ├── genindex.html
│ ├── glossary.html
│ ├── index.html
│ ├── install.html
│ ├── io.html
│ ├── metric.html
│ ├── objects.inv
│ ├── py-modindex.html
│ ├── scene.html
│ ├── search.html
│ ├── searchindex.js
│ ├── sound_event.html
│ ├── test.html
│ ├── tutorial.html
│ └── util.html
├── documentation/
│ ├── Makefile
│ ├── README.md
│ ├── requirements.txt
│ └── source/
│ ├── __init__.py
│ ├── _static/
│ │ ├── .nojekyll
│ │ └── theme_overrides.css
│ ├── audio_tag.rst
│ ├── changelog.rst
│ ├── conf.py
│ ├── glossary.rst
│ ├── index.rst
│ ├── install.rst
│ ├── io.rst
│ ├── metric.rst
│ ├── scene.rst
│ ├── sound_event.rst
│ ├── test.rst
│ ├── tutorial.rst
│ └── util.rst
├── evaluators/
│ ├── README.md
│ ├── scene_eval.py
│ └── sound_event_eval.py
├── requirements.txt
├── sed_eval/
│ ├── __init__.py
│ ├── audio_tag.py
│ ├── io.py
│ ├── metric.py
│ ├── scene.py
│ ├── sound_event.py
│ ├── test.py
│ └── util/
│ ├── __init__.py
│ ├── event_list.py
│ ├── event_matching.py
│ ├── event_roll.py
│ └── scene_list.py
├── setup.cfg
├── setup.py
└── tests/
├── README.md
├── data/
│ ├── audio_tagging/
│ │ ├── estimated.txt
│ │ └── reference.txt
│ ├── scene/
│ │ ├── estimated_a.txt
│ │ ├── estimated_b.txt
│ │ ├── file_list.txt
│ │ ├── fold1_estimated.txt
│ │ ├── fold1_reference.txt
│ │ ├── fold2_estimated.txt
│ │ ├── fold2_reference.txt
│ │ ├── fold3_estimated.txt
│ │ ├── fold3_reference.txt
│ │ ├── fold4_estimated.txt
│ │ ├── fold4_reference.txt
│ │ ├── fold5_estimated.txt
│ │ ├── fold5_reference.txt
│ │ └── reference.txt
│ └── sound_event/
│ ├── audioset1.txt
│ ├── audioset1_detected.txt
│ ├── binary1.txt
│ ├── binary1_detected.txt
│ ├── binary2.txt
│ ├── binary2_detected.txt
│ ├── binary3.txt
│ ├── binary3_detected.txt
│ ├── binary4.txt
│ ├── binary4_detected.txt
│ ├── binary5.txt
│ ├── binary5_detected.txt
│ ├── file_list.txt
│ ├── file_list_audioset.txt
│ ├── file_list_binary.txt
│ ├── mini_detected_a.txt
│ ├── mini_detected_b.txt
│ ├── mini_reference.txt
│ ├── office_snr0_high_v2.txt
│ ├── office_snr0_high_v2_detected.txt
│ ├── office_snr0_med_v2.txt
│ ├── office_snr0_med_v2_detected.txt
│ ├── street_fold1_detected.txt
│ └── street_fold1_reference.txt
├── test_audio_tag.py
├── test_io.py
├── test_metric.py
├── test_scene.py
├── test_sound_event.py
├── test_test.py
└── test_util.py
================================================
FILE CONTENTS
================================================
================================================
FILE: .coveragerc
================================================
[report]
omit =
*/python?.?/*
*/site-packages/nose/*
================================================
FILE: .gitignore
================================================
*.py[co]
# Packages
*.egg
*.egg-info
dist
build
eggs
parts
bin
var
sdist
develop-eggs
.installed.cfg
# Installer logs
pip-log.txt
# Unit test / coverage reports
.coverage
.tox
#Translations
*.mo
#Mr Developer
.mr.developer.cfg
# OS generated files #
.DS_Store
.DS_Store?
._*
.Spotlight-V100
.Trashes
ehthumbs.db
Thumbs.db
*~
# Vim
# PyCharm
.idea
# cover
tests/cover/*
tests/_dev/*
.coverage
.coverage.*
# Sphinx
#docs/generated/
tests/dcase2016/*
.nfs*
tests/*.zip
tests/DCASE2016-baseline-system-python*
tests/dev/
documentation/source/generated/
documentation/build/
================================================
FILE: .travis.yml
================================================
language:
- python
python:
- "2.7"
- "3.5"
- "3.6"
cache:
pip: true
bundler: true
notifications:
email: false
before_install:
- "sudo apt-get install -qq python-scipy"
# command to install dependencies
install:
- "pip install -r requirements.txt"
- "pip install python-coveralls"
- "pip install coveralls"
- "pip install nose"
- "pip install scikit-learn"
- "pip install 'joblib==0.11' --force-reinstall"
- "python setup.py develop"
# command to run tests
script:
- "nosetests --with-coverage --cover-erase --cover-package=sed_eval -v -w tests/"
after_success:
- "coveralls"
- "python setup.py develop --uninstall"
after_failure:
- "python setup.py develop --uninstall"
================================================
FILE: CODE_OF_CONDUCT.md
================================================
# Contributor Covenant Code of Conduct
## Our Pledge
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.
## Our Standards
Examples of behavior that contributes to creating a positive environment include:
* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members
Examples of unacceptable behavior by participants include:
* The use of sexualized language or imagery and unwelcome sexual attention or advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a professional setting
## Our Responsibilities
Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.
Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.
## Scope
This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.
## Enforcement
Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at toni.heittola@tut.fi. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.
Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership.
## Attribution
This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [http://contributor-covenant.org/version/1/4][version]
[homepage]: http://contributor-covenant.org
[version]: http://contributor-covenant.org/version/1/4/
================================================
FILE: CONTRIBUTING.md
================================================
Contributing
============
How to contribute
-----------------
The preferred way to contribute to `sed_eval` is to fork the
[main repository](https://github.com/TUT-ARG/sed_eval) on
GitHub:
1. Fork the [project repository](https://github.com/TUT-ARG/sed_eval):
click on the 'Fork' button near the top of the page. This creates
a copy of the code under your account on the GitHub server.
2. Clone this copy to your local disk:
git clone git@github.com:[YOUR_LOGIN]/sed_eval.git
cd sed_eval
3. Create a branch to hold your changes:
git checkout -b my-new-feature
and start making changes. You should never work in the ``master`` branch directly.
4. Work on this copy on your computer using Git to do the version
control. When you're done editing, do:
git add [MODIFIED FILES]
git commit
to record your changes in Git, then push them to GitHub with:
git push -u origin my-new-feature
Finally, go to the web page of the your fork of the sed_eval repo,
and click 'Pull request' to send your changes to the maintainers for
review. This will send an email to the committers.
More information about this kind of process can be found in
[Git documentation](http://git-scm.com/documentation).
You should check that your contribution complies with the
following rules before submitting a pull request:
- All public methods should have informative docstrings
- Code should be sufficiently commented
- For major new features there should be also an unittest
You should check for common programming errors with the following
tools:
- Check unittests:
pip install nose coverage
cd tests/
nosetests -v --with-coverage --cover-erase --cover-html --cover-package=sed_eval --nocapture
- There should be no major pyflakes warnings, check with:
pip install pyflakes
pyflakes path/to/module.py
- There should be no major PEP8 warnings, check with:
pip install pep8
pep8 path/to/module.py
Creating an issue
-----------------
We use Github issues to track all bugs and feature requests; feel free to
open an issue if you have found a bug or wish to see a new feature implemented.
It is recommended to check that your issue complies with the
following rules before submitting:
- Verify that your issue is not being currently addressed by other
[issues](https://github.com/TUT-ARG/sed_eval/issues?q=)
or [pull requests](https://github.com/TUT-ARG/sed_eval/pulls?q=).
- Please ensure all code snippets and error messages are formatted in
appropriate code blocks.
See [Creating and highlighting code blocks](https://help.github.com/articles/creating-and-highlighting-code-blocks).
- Please include your operating system type and version number, as well
as your Python, numpy, and dcase_util versions. You can get this
information with following code:
import platform; print(platform.platform())
import sys; print("Python", sys.version)
import numpy; print("NumPy", numpy.__version__)
Documentation
-------------
You can edit the documentation using any text editor and then generate
the HTML output by typing ``make html`` from the docs/ directory.
The resulting HTML files will be placed in docs/ and are viewable
in a web browser. See the README file in the documentation/ directory for more information.
Note
----
This document is based on contribution instructions for [LibROSA](https://github.com/librosa/librosa).
================================================
FILE: LICENSE.txt
================================================
The MIT License (MIT)
Copyright (c) 2016 Tampere University of Technology
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
================================================
FILE: README.rst
================================================
sed_eval - Evaluation toolbox for Sound Event Detection
=======================================================
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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
- dcase_util >= 0.2.4
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>`_.
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<li class="toctree-l1"><a class="reference internal" href="../install.html">Installation instructions</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../install.html#using-pip">Using pip</a></li>
<li class="toctree-l2"><a class="reference internal" href="../install.html#using-setyp-py">Using <code class="docutils literal"><span class="pre">setyp.py</span></code></a></li>
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<li class="toctree-l1"><a class="reference internal" href="../tutorial.html">Tutorial</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../tutorial.html#sed-eval-evaluation-toolbox-for-sound-event-detection"><code class="docutils literal"><span class="pre">sed_eval</span></code> – Evaluation toolbox for Sound Event Detection</a></li>
<li class="toctree-l2"><a class="reference internal" href="../tutorial.html#quickstart-using-the-evaluators">Quickstart: Using the evaluators</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../tutorial.html#sound-event-detection">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../tutorial.html#acoustic-scene-classification">Acoustic scene classification</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../tutorial.html#quickstart-using-sed-eval-in-python-code">Quickstart: Using <code class="docutils literal"><span class="pre">sed_eval</span></code> in Python code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../tutorial.html#id1">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../tutorial.html#id2">Acoustic scene classification</a></li>
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</ul>
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<li class="toctree-l1"><a class="reference internal" href="../sound_event.html">Sound Event Detection</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../sound_event.html#intermediate-statistics">Intermediate statistics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#segment-based">Segment-based</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#event-based">Event-based</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#averaging">Averaging</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#cross-validation">Cross-validation</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../sound_event.html#implemented-metrics">Implemented metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#precision-recall-and-f-score">Precision, Recall and F-score</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#sensitivity-and-specificity">Sensitivity and specificity</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#accuracy">Accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#balanced-accuracy">Balanced accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#error-rate">Error Rate</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../sound_event.html#module-sed_eval.sound_event">Code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#segment-based-metrics">Segment based metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.html">sed_eval.sound_event.SegmentBasedMetrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.evaluate.html">sed_eval.sound_event.SegmentBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.results.html">sed_eval.sound_event.SegmentBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.SegmentBasedMetrics.reset.html">sed_eval.sound_event.SegmentBasedMetrics.reset</a></li>
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<li class="toctree-l3"><a class="reference internal" href="../sound_event.html#event-based-metrics">Event based metrics</a><ul>
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<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.evaluate.html">sed_eval.sound_event.EventBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.results.html">sed_eval.sound_event.EventBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_overall_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.result_report_parameters.html">sed_eval.sound_event.EventBasedMetrics.result_report_parameters</a></li>
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<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.html">sed_eval.sound_event.EventBasedMetrics.result_report_class_wise</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.html">sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l4"><a class="reference internal" href="../generated/sed_eval.sound_event.EventBasedMetrics.reset.html">sed_eval.sound_event.EventBasedMetrics.reset</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../sound_event.html#rerefences">Rerefences</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../scene.html">Acoustic Scene Classification</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../scene.html#metrics">Metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.html">sed_eval.scene.SceneClassificationMetrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.evaluate.html">sed_eval.scene.SceneClassificationMetrics.evaluate</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.results.html">sed_eval.scene.SceneClassificationMetrics.results</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_overall_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.result_report_parameters.html">sed_eval.scene.SceneClassificationMetrics.result_report_parameters</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.html">sed_eval.scene.SceneClassificationMetrics.result_report_class_wise</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.html">sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.scene.SceneClassificationMetrics.reset.html">sed_eval.scene.SceneClassificationMetrics.reset</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../audio_tag.html">Audio Tagging</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../audio_tag.html#metrics">Metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.html">sed_eval.audio_tag.AudioTaggingMetrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.evaluate.html">sed_eval.audio_tag.AudioTaggingMetrics.evaluate</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.results.html">sed_eval.audio_tag.AudioTaggingMetrics.results</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.audio_tag.AudioTaggingMetrics.reset.html">sed_eval.audio_tag.AudioTaggingMetrics.reset</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../metric.html">Metrics</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.f_measure.html">sed_eval.metric.f_measure</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.precision.html">sed_eval.metric.precision</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.recall.html">sed_eval.metric.recall</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.accuracy.html">sed_eval.metric.accuracy</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.accuracy2.html">sed_eval.metric.accuracy2</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.balanced_accuracy.html">sed_eval.metric.balanced_accuracy</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.sensitivity.html">sed_eval.metric.sensitivity</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.specificity.html">sed_eval.metric.specificity</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.error_rate.html">sed_eval.metric.error_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.substitution_rate.html">sed_eval.metric.substitution_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.deletion_rate.html">sed_eval.metric.deletion_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.insertion_rate.html">sed_eval.metric.insertion_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.metric.equal_error_rate.html">sed_eval.metric.equal_error_rate</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="../test.html">Tests</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.test.mcnemar.html">sed_eval.test.mcnemar</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../util.html">Utilities</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../util.html#event-list-operations">Event list operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_list.unique_event_labels.html">sed_eval.util.event_list.unique_event_labels</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_list.unique_files.html">sed_eval.util.event_list.unique_files</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_list.filter_event_list.html">sed_eval.util.event_list.filter_event_list</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_list.max_event_offset.html">sed_eval.util.event_list.max_event_offset</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="../util.html#event-roll-operations">Event roll operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_roll.event_list_to_event_roll.html">sed_eval.util.event_roll.event_list_to_event_roll</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_roll.pad_event_roll.html">sed_eval.util.event_roll.pad_event_roll</a></li>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_roll.match_event_roll_lengths.html">sed_eval.util.event_roll.match_event_roll_lengths</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../util.html#scene-list-operations">Scene list operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.scene_list.unique_scene_labels.html">sed_eval.util.scene_list.unique_scene_labels</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="../util.html#event-matching-operations">Event matching operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../generated/sed_eval.util.event_matching.bipartite_match.html">sed_eval.util.event_matching.bipartite_match</a></li>
</ul>
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<li class="toctree-l1"><a class="reference internal" href="../io.html">I/O</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.io.load_event_list.html">sed_eval.io.load_event_list</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.io.load_scene_list.html">sed_eval.io.load_scene_list</a></li>
<li class="toctree-l2"><a class="reference internal" href="../generated/sed_eval.io.load_file_pair_list.html">sed_eval.io.load_file_pair_list</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../changelog.html">Changes</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-2-0">v0.2.0</a></li>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-1-4">v0.1.4</a></li>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-1-3">v0.1.3</a></li>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-1-2">v0.1.2</a></li>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-1-1">v0.1.1</a></li>
<li class="toctree-l2"><a class="reference internal" href="../changelog.html#v0-1-0">v0.1.0</a></li>
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<h1>All modules for which code is available</h1>
<ul><li><a href="sed_eval/audio_tag.html">sed_eval.audio_tag</a></li>
<li><a href="sed_eval/io.html">sed_eval.io</a></li>
<li><a href="sed_eval/metric.html">sed_eval.metric</a></li>
<li><a href="sed_eval/scene.html">sed_eval.scene</a></li>
<li><a href="sed_eval/sound_event.html">sed_eval.sound_event</a></li>
<li><a href="sed_eval/test.html">sed_eval.test</a></li>
<li><a href="sed_eval/util/event_list.html">sed_eval.util.event_list</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../scene.html">Acoustic Scene Classification</a><ul>
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<li class="toctree-l1"><a class="reference internal" href="../../audio_tag.html">Audio Tagging</a><ul>
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<h1>Source code for sed_eval.audio_tag</h1><div class="highlight"><pre>
<span></span><span class="ch">#!/usr/bin/env python</span>
<span class="c1"># -*- coding: utf-8 -*-</span>
<span class="sd">"""</span>
<span class="sd">Metrics</span>
<span class="sd">-------</span>
<span class="sd">Main functions:</span>
<span class="sd">* :func:`sed_eval.audio_tag.AudioTaggingMetrics.evaluate`: Calculate intermediate values for evaluation and accumulate them.</span>
<span class="sd">* :func:`sed_eval.audio_tag.AudioTaggingMetrics.results`: Calculate and return all metrics.</span>
<span class="sd">* :func:`sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics`: Calculate and return overall metrics (micro-averaged).</span>
<span class="sd">* :func:`sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics`: Calculate and return class-wise metrics.</span>
<span class="sd">* :func:`sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics`: Calculate and return class-wise average metrics (macro-averaged).</span>
<span class="sd">Function :func:`sed_eval.audio_tag.AudioTaggingMetrics.evaluate` takes as a parameter tag lists,</span>
<span class="sd">(use :func:`dcase_util.containers.MetaDataContainer` to read them from a file), and probability lists (use :func:`dcase_util.containers.ProbabilityContainer` to read them from a file).</span>
<span class="sd">Usage example:</span>
<span class="sd">.. code-block:: python</span>
<span class="sd"> :linenos:</span>
<span class="sd"> import sed_eval</span>
<span class="sd"> import dcase_util</span>
<span class="sd"> reference_tag_list = dcase_util.containers.MetaDataContainer([</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test1.wav',</span>
<span class="sd"> 'tags': 'cat,dog'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test2.wav',</span>
<span class="sd"> 'tags': 'dog'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test3.wav',</span>
<span class="sd"> 'tags': 'bird,cat'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test4.wav',</span>
<span class="sd"> 'tags': 'cat'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test5.wav',</span>
<span class="sd"> 'tags': 'bird,speech'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test6.wav',</span>
<span class="sd"> 'tags': 'dog,speech'</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test7.wav',</span>
<span class="sd"> 'tags': 'speech'</span>
<span class="sd"> },</span>
<span class="sd"> ])</span>
<span class="sd"> estimated_tag_probabilities = dcase_util.containers.ProbabilityContainer([</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test1.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.2</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test1.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.99</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test1.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.88</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test1.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.01</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test2.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.1</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test2.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.3</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test2.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.8</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test2.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.1</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test3.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.7</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test3.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.6</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test3.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.4</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test3.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.3</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test4.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.323</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test4.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.6</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test4.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.56</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test4.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.4</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test5.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.8</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test5.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.7</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test5.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.45</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test5.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.43</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test6.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.9</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test6.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.53</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test6.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.83</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test6.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.95</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test7.wav',</span>
<span class="sd"> 'label': 'bird',</span>
<span class="sd"> 'probability': 0.2</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test7.wav',</span>
<span class="sd"> 'label': 'cat',</span>
<span class="sd"> 'probability': 0.2</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test7.wav',</span>
<span class="sd"> 'label': 'dog',</span>
<span class="sd"> 'probability': 0.89</span>
<span class="sd"> },</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': 'test7.wav',</span>
<span class="sd"> 'label': 'speech',</span>
<span class="sd"> 'probability': 0.45</span>
<span class="sd"> },</span>
<span class="sd"> ])</span>
<span class="sd"> estimated_tag_list = dcase_util.containers.MetaDataContainer()</span>
<span class="sd"> for file in estimated_tag_probabilities.unique_files:</span>
<span class="sd"> k = estimated_tag_probabilities.filter(filename=file)</span>
<span class="sd"> tags = []</span>
<span class="sd"> for item in k:</span>
<span class="sd"> if item.probability > 0.5:</span>
<span class="sd"> tags.append(item.label)</span>
<span class="sd"> estimated_tag_list.append(</span>
<span class="sd"> {</span>
<span class="sd"> 'filename': file,</span>
<span class="sd"> 'tags': tags</span>
<span class="sd"> }</span>
<span class="sd"> )</span>
<span class="sd"> tag_evaluator = sed_eval.audio_tag.AudioTaggingMetrics(</span>
<span class="sd"> tags=reference_tag_list.unique_tags</span>
<span class="sd"> )</span>
<span class="sd"> tag_evaluator.evaluate(</span>
<span class="sd"> reference_tag_list=reference_tag_list,</span>
<span class="sd"> estimated_tag_list=estimated_tag_list,</span>
<span class="sd"> estimated_tag_probabilities=estimated_tag_probabilities</span>
<span class="sd"> )</span>
<span class="sd"> print(tag_evaluator)</span>
<span class="sd">.. autosummary::</span>
<span class="sd"> :toctree: generated/</span>
<span class="sd"> AudioTaggingMetrics</span>
<span class="sd"> AudioTaggingMetrics.evaluate</span>
<span class="sd"> AudioTaggingMetrics.results</span>
<span class="sd"> AudioTaggingMetrics.results_overall_metrics</span>
<span class="sd"> AudioTaggingMetrics.results_class_wise_metrics</span>
<span class="sd"> AudioTaggingMetrics.results_class_wise_average_metrics</span>
<span class="sd"> AudioTaggingMetrics.result_report_parameters</span>
<span class="sd"> AudioTaggingMetrics.result_report_class_wise</span>
<span class="sd"> AudioTaggingMetrics.result_report_class_wise_average</span>
<span class="sd"> AudioTaggingMetrics.reset</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">absolute_import</span>
<span class="kn">import</span> <span class="nn">numpy</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">metric</span>
<span class="kn">import</span> <span class="nn">dcase_util</span>
<div class="viewcode-block" id="AudioTaggingMetrics"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.html#sed_eval.audio_tag.AudioTaggingMetrics">[docs]</a><span class="k">class</span> <span class="nc">AudioTaggingMetrics</span><span class="p">:</span>
<div class="viewcode-block" id="AudioTaggingMetrics.__init__"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.html#sed_eval.audio_tag.AudioTaggingMetrics.__init__">[docs]</a> <span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">tags</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span> <span class="o">=</span> <span class="n">tags</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'Ncorr'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="p">}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span> <span class="o">=</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_true</span> <span class="o">=</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred</span> <span class="o">=</span> <span class="p">{}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="p">}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_true</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="p">[]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">ui</span> <span class="o">=</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">FancyStringifier</span><span class="p">()</span></div>
<span class="k">def</span> <span class="nf">__str__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Print result reports"""</span>
<span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">section_header</span><span class="p">(</span><span class="s1">'Audio tagging metrics'</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_report_parameters</span><span class="p">()</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_report_overall</span><span class="p">()</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_report_class_wise_average</span><span class="p">()</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">result_report_class_wise</span><span class="p">()</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">return</span> <span class="n">output</span>
<div class="viewcode-block" id="AudioTaggingMetrics.evaluate"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.evaluate.html#sed_eval.audio_tag.AudioTaggingMetrics.evaluate">[docs]</a> <span class="k">def</span> <span class="nf">evaluate</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">reference_tag_list</span><span class="p">,</span> <span class="n">estimated_tag_list</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">estimated_tag_probabilities</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""Evaluate estimated against reference</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> reference_tag_list : list of dict or dcase_util.containers.MetaDataContainer</span>
<span class="sd"> Reference tag list</span>
<span class="sd"> estimated_tag_list : list of dict or dcase_util.containers.MetaDataContainer</span>
<span class="sd"> Estimated tag list</span>
<span class="sd"> estimated_tag_probabilities : list of dict or dcase_util.containers.ProbabilityContainer</span>
<span class="sd"> Estimated tag probabilities</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> self</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">estimated_tag_list</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">estimated_tag_probabilities</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Nothing to evaluate, give at least estimated_tag_list or estimated_tag_probabilities"</span><span class="p">)</span>
<span class="c1"># Make sure reference_tag_list is dcase_util.containers.MetaDataContainer</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">reference_tag_list</span><span class="p">,</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">):</span>
<span class="n">reference_tag_list</span> <span class="o">=</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">(</span><span class="n">reference_tag_list</span><span class="p">)</span>
<span class="c1"># Make sure estimated_tag_list is dcase_util.containers.MetaDataContainer</span>
<span class="k">if</span> <span class="n">estimated_tag_list</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">estimated_tag_list</span><span class="p">,</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">):</span>
<span class="n">estimated_tag_list</span> <span class="o">=</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">(</span><span class="n">estimated_tag_list</span><span class="p">)</span>
<span class="c1"># Make sure estimated_tag_probabilities is dcase_util.containers.ProbabilityContainer</span>
<span class="k">if</span> <span class="n">estimated_tag_probabilities</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">estimated_tag_probabilities</span><span class="p">,</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">ProbabilityContainer</span><span class="p">):</span>
<span class="n">estimated_tag_probabilities</span> <span class="o">=</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">ProbabilityContainer</span><span class="p">(</span><span class="n">estimated_tag_probabilities</span><span class="p">)</span>
<span class="n">y_true</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">y_pred</span> <span class="o">=</span> <span class="p">[]</span>
<span class="c1"># Go though reference and estimated list label by label, and file by file</span>
<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">:</span>
<span class="k">for</span> <span class="n">filename</span> <span class="ow">in</span> <span class="n">reference_tag_list</span><span class="o">.</span><span class="n">unique_files</span><span class="p">:</span>
<span class="n">reference_item</span> <span class="o">=</span> <span class="n">reference_tag_list</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="c1"># Populate y_true based on reference_item</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_true</span><span class="p">[</span><span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">y_true</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_true</span><span class="p">[</span><span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">y_true</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="k">if</span> <span class="n">estimated_tag_list</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="c1"># Evaluate based on estimated tags</span>
<span class="n">estimated_item</span> <span class="o">=</span> <span class="n">estimated_tag_list</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">estimated_item</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
<span class="s2">"Not all reference files estimated, please check [</span><span class="si">{file}</span><span class="s2">]"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
<span class="n">file</span><span class="o">=</span><span class="n">filename</span>
<span class="p">)</span>
<span class="p">)</span>
<span class="c1"># Store nref</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Nref'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="c1"># Populate y_pred based estimated_item</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">estimated_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred</span><span class="p">[</span><span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="n">y_pred</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Nsys'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="k">else</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred</span><span class="p">[</span><span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">y_pred</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="c1"># Accumulate intermediate values</span>
<span class="c1"># True positives (TP)</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">estimated_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Ntp'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="c1"># True negatives (TN)</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">estimated_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Ntn'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="c1"># False positives (FP)</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">estimated_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Nfp'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="c1"># False negatives (FN)</span>
<span class="k">if</span> <span class="n">label</span> <span class="ow">in</span> <span class="n">reference_item</span><span class="o">.</span><span class="n">tags</span> <span class="ow">and</span> <span class="n">label</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">estimated_item</span><span class="o">.</span><span class="n">tags</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">][</span><span class="s1">'Nfn'</span><span class="p">]</span> <span class="o">+=</span> <span class="mi">1</span>
<span class="k">if</span> <span class="n">estimated_tag_probabilities</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="c1"># Evaluate based on per tag probabilities</span>
<span class="n">estimated_item</span> <span class="o">=</span> <span class="n">estimated_tag_probabilities</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="n">label</span><span class="p">)[</span><span class="mi">0</span><span class="p">]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span><span class="p">[</span><span class="n">label</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="nb">float</span><span class="p">(</span><span class="n">estimated_item</span><span class="p">[</span><span class="s1">'probability'</span><span class="p">]))</span>
<span class="k">if</span> <span class="n">estimated_tag_list</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="c1"># Evaluate based on estimated tags</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nref'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_true</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nsys'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_pred</span><span class="p">)</span>
<span class="n">y_true</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">y_true</span><span class="p">)</span>
<span class="n">y_pred</span> <span class="o">=</span> <span class="n">numpy</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">y_pred</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Ntp'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_pred</span> <span class="o">+</span> <span class="n">y_true</span> <span class="o">></span> <span class="mi">1</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Ntn'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_pred</span> <span class="o">+</span> <span class="n">y_true</span> <span class="o">==</span> <span class="mi">0</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nfp'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_pred</span> <span class="o">-</span> <span class="n">y_true</span> <span class="o">></span> <span class="mi">0</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nfn'</span><span class="p">]</span> <span class="o">+=</span> <span class="nb">sum</span><span class="p">(</span><span class="n">y_true</span> <span class="o">-</span> <span class="n">y_pred</span> <span class="o">></span> <span class="mi">0</span><span class="p">)</span>
<span class="k">return</span> <span class="bp">self</span></div>
<div class="viewcode-block" id="AudioTaggingMetrics.reset"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.reset.html#sed_eval.audio_tag.AudioTaggingMetrics.reset">[docs]</a> <span class="k">def</span> <span class="nf">reset</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Reset internal state</span>
<span class="sd"> """</span>
<span class="bp">self</span><span class="o">.</span><span class="n">overall</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="p">}</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">label</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">label</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Ntn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfp'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="s1">'Nfn'</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span>
<span class="p">}</span>
<span class="k">return</span> <span class="bp">self</span></div>
<span class="c1"># Results</span>
<div class="viewcode-block" id="AudioTaggingMetrics.results"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results.html#sed_eval.audio_tag.AudioTaggingMetrics.results">[docs]</a> <span class="k">def</span> <span class="nf">results</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""All metrics</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> dict</span>
<span class="sd"> results in a dictionary format</span>
<span class="sd"> """</span>
<span class="n">results</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'overall'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_overall_metrics</span><span class="p">(),</span>
<span class="s1">'class_wise'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_class_wise_metrics</span><span class="p">(),</span>
<span class="s1">'class_wise_average'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_class_wise_average_metrics</span><span class="p">(),</span>
<span class="p">}</span>
<span class="k">return</span> <span class="n">results</span></div>
<div class="viewcode-block" id="AudioTaggingMetrics.results_overall_metrics"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.html#sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics">[docs]</a> <span class="k">def</span> <span class="nf">results_overall_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Overall metrics</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> dict</span>
<span class="sd"> results in a dictionary format</span>
<span class="sd"> """</span>
<span class="c1"># F-measure</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nref'</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">precision</span><span class="p">(</span>
<span class="n">Ntp</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Ntp'</span><span class="p">],</span>
<span class="n">Nsys</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nsys'</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">recall</span><span class="p">(</span>
<span class="n">Ntp</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Ntp'</span><span class="p">],</span>
<span class="n">Nref</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nref'</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">f_measure</span><span class="p">(</span>
<span class="n">precision</span><span class="o">=</span><span class="n">precision</span><span class="p">,</span>
<span class="n">recall</span><span class="o">=</span><span class="n">recall</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">y_true</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">y_score</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">tag_id</span><span class="p">,</span> <span class="n">tag_label</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">):</span>
<span class="n">y_true</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">y_true</span><span class="p">[</span><span class="n">tag_label</span><span class="p">]</span>
<span class="n">y_score</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span><span class="p">[</span><span class="n">tag_label</span><span class="p">]</span>
<span class="k">if</span> <span class="n">y_score</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">equal_error_rate</span><span class="p">(</span>
<span class="n">y_true</span><span class="o">=</span><span class="n">y_true</span><span class="p">,</span>
<span class="n">y_score</span><span class="o">=</span><span class="n">y_score</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">return</span> <span class="p">{</span>
<span class="s1">'count'</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nref'</span><span class="p">],</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nsys'</span><span class="p">],</span>
<span class="p">},</span>
<span class="s1">'f_measure'</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">'f_measure'</span><span class="p">:</span> <span class="n">f_measure</span><span class="p">,</span>
<span class="s1">'precision'</span><span class="p">:</span> <span class="n">precision</span><span class="p">,</span>
<span class="s1">'recall'</span><span class="p">:</span> <span class="n">recall</span><span class="p">,</span>
<span class="p">},</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="n">eer</span>
<span class="p">}</span>
<span class="p">}</span></div>
<div class="viewcode-block" id="AudioTaggingMetrics.results_class_wise_metrics"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.html#sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics">[docs]</a> <span class="k">def</span> <span class="nf">results_class_wise_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Class-wise metrics</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> dict</span>
<span class="sd"> results in a dictionary format</span>
<span class="sd"> """</span>
<span class="n">results</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">tag_id</span><span class="p">,</span> <span class="n">tag_label</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">):</span>
<span class="k">if</span> <span class="n">tag_label</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">results</span><span class="p">:</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
<span class="c1"># Counts</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'count'</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'Nref'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nref'</span><span class="p">],</span>
<span class="s1">'Nsys'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nsys'</span><span class="p">],</span>
<span class="s1">'Ntp'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Ntp'</span><span class="p">],</span>
<span class="s1">'Ntn'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Ntn'</span><span class="p">],</span>
<span class="s1">'Nfp'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nfp'</span><span class="p">],</span>
<span class="s1">'Nfn'</span><span class="p">:</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nfn'</span><span class="p">],</span>
<span class="p">}</span>
<span class="c1"># Equal error rate</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span><span class="p">[</span><span class="n">tag_label</span><span class="p">]:</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="n">metric</span><span class="o">.</span><span class="n">equal_error_rate</span><span class="p">(</span>
<span class="n">y_true</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">y_true</span><span class="p">[</span><span class="n">tag_label</span><span class="p">],</span>
<span class="n">y_score</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">y_pred_score</span><span class="p">[</span><span class="n">tag_label</span><span class="p">]</span>
<span class="p">)</span>
<span class="p">}</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="kc">None</span>
<span class="p">}</span>
<span class="c1"># F-measure</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nref'</span><span class="p">]</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">precision</span><span class="p">(</span>
<span class="n">Ntp</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Ntp'</span><span class="p">],</span>
<span class="n">Nsys</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nsys'</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">recall</span><span class="p">(</span>
<span class="n">Ntp</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Ntp'</span><span class="p">],</span>
<span class="n">Nref</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_wise</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'Nref'</span><span class="p">]</span>
<span class="p">)</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="n">metric</span><span class="o">.</span><span class="n">f_measure</span><span class="p">(</span><span class="n">precision</span><span class="o">=</span><span class="n">precision</span><span class="p">,</span> <span class="n">recall</span><span class="o">=</span><span class="n">recall</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="o">=</span> <span class="p">{</span>
<span class="s1">'f_measure'</span><span class="p">:</span> <span class="n">f_measure</span><span class="p">,</span>
<span class="s1">'precision'</span><span class="p">:</span> <span class="n">precision</span><span class="p">,</span>
<span class="s1">'recall'</span><span class="p">:</span> <span class="n">recall</span><span class="p">,</span>
<span class="p">}</span>
<span class="k">return</span> <span class="n">results</span></div>
<div class="viewcode-block" id="AudioTaggingMetrics.results_class_wise_average_metrics"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.html#sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics">[docs]</a> <span class="k">def</span> <span class="nf">results_class_wise_average_metrics</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Class-wise averaged metrics</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> dict</span>
<span class="sd"> results in a dictionary format</span>
<span class="sd"> """</span>
<span class="n">class_wise_results</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_class_wise_metrics</span><span class="p">()</span>
<span class="n">class_wise_eer</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">class_wise_fmeasure</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">class_wise_precision</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">class_wise_recall</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="n">class_label</span> <span class="ow">in</span> <span class="n">class_wise_results</span><span class="p">:</span>
<span class="k">if</span> <span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">class_wise_eer</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">])</span>
<span class="k">if</span> <span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">class_wise_fmeasure</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">])</span>
<span class="n">class_wise_precision</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">])</span>
<span class="n">class_wise_recall</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">class_wise_results</span><span class="p">[</span><span class="n">class_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">])</span>
<span class="k">if</span> <span class="n">class_wise_eer</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">class_wise_eer</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">class_wise_fmeasure</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">class_wise_fmeasure</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">class_wise_precision</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">class_wise_precision</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">class_wise_recall</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="nb">float</span><span class="p">(</span><span class="n">numpy</span><span class="o">.</span><span class="n">nanmean</span><span class="p">(</span><span class="n">class_wise_recall</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">return</span> <span class="p">{</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">'eer'</span><span class="p">:</span> <span class="n">eer</span>
<span class="p">},</span>
<span class="s1">'f_measure'</span><span class="p">:</span> <span class="p">{</span>
<span class="s1">'f_measure'</span><span class="p">:</span> <span class="n">f_measure</span><span class="p">,</span>
<span class="s1">'precision'</span><span class="p">:</span> <span class="n">precision</span><span class="p">,</span>
<span class="s1">'recall'</span><span class="p">:</span> <span class="n">recall</span><span class="p">,</span>
<span class="p">}</span>
<span class="p">}</span></div>
<span class="c1"># Reports</span>
<div class="viewcode-block" id="AudioTaggingMetrics.result_report_parameters"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.html#sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters">[docs]</a> <span class="k">def</span> <span class="nf">result_report_parameters</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Report metric parameters</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> str</span>
<span class="sd"> result report in string format</span>
<span class="sd"> """</span>
<span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Tags'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">))</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Evaluated units'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="nb">int</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">overall</span><span class="p">[</span><span class="s1">'Nref'</span><span class="p">]))</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">return</span> <span class="n">output</span></div>
<span class="k">def</span> <span class="nf">result_report_overall</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Report overall results</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> str</span>
<span class="sd"> result report in string format</span>
<span class="sd"> """</span>
<span class="n">results</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_overall_metrics</span><span class="p">()</span>
<span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">section_header</span><span class="p">(</span><span class="s1">'Overall metrics (micro-average)'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">if</span> <span class="s1">'f_measure'</span> <span class="ow">in</span> <span class="n">results</span> <span class="ow">and</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="s1">'F-measure'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'F-measure (F1)'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">f_measure</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Precision'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">precision</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Recall'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">recall</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">if</span> <span class="s1">'eer'</span> <span class="ow">in</span> <span class="n">results</span> <span class="ow">and</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="s1">'Equal error rate'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Equal error rate (EER)'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">eer</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">return</span> <span class="n">output</span>
<div class="viewcode-block" id="AudioTaggingMetrics.result_report_class_wise_average"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.html#sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average">[docs]</a> <span class="k">def</span> <span class="nf">result_report_class_wise_average</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Report class-wise averages</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> str</span>
<span class="sd"> result report in string format</span>
<span class="sd"> """</span>
<span class="n">results</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_class_wise_average_metrics</span><span class="p">()</span>
<span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">section_header</span><span class="p">(</span><span class="s1">'Class-wise average metrics (macro-average)'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">if</span> <span class="s1">'f_measure'</span> <span class="ow">in</span> <span class="n">results</span> <span class="ow">and</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="s1">'F-measure'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'F-measure (F1)'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">f_measure</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Precision'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">precision</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Recall'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">recall</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">if</span> <span class="s1">'eer'</span> <span class="ow">in</span> <span class="n">results</span> <span class="ow">and</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">]:</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">line</span><span class="p">(</span><span class="s1">'Equal error rate'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">data</span><span class="p">(</span><span class="n">field</span><span class="o">=</span><span class="s1">'Equal error rate (EER)'</span><span class="p">,</span> <span class="n">value</span><span class="o">=</span><span class="n">eer</span><span class="p">,</span> <span class="n">unit</span><span class="o">=</span><span class="s1">'%'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">4</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">return</span> <span class="n">output</span></div>
<div class="viewcode-block" id="AudioTaggingMetrics.result_report_class_wise"><a class="viewcode-back" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.html#sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise">[docs]</a> <span class="k">def</span> <span class="nf">result_report_class_wise</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="sd">"""Report class-wise results</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> str</span>
<span class="sd"> result report in string format</span>
<span class="sd"> """</span>
<span class="n">results</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">results_class_wise_metrics</span><span class="p">()</span>
<span class="n">output</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">section_header</span><span class="p">(</span><span class="s1">'Class-wise metrics'</span><span class="p">,</span> <span class="n">indent</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">row</span><span class="p">(</span>
<span class="s1">'Tag'</span><span class="p">,</span> <span class="s1">'Nref'</span><span class="p">,</span> <span class="s1">'Nsys'</span><span class="p">,</span> <span class="s1">'F-score'</span><span class="p">,</span> <span class="s1">'Pre'</span><span class="p">,</span> <span class="s1">'Rec'</span><span class="p">,</span> <span class="s1">'EER'</span><span class="p">,</span>
<span class="n">widths</span><span class="o">=</span><span class="p">[</span><span class="mi">20</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">,</span> <span class="mi">12</span><span class="p">],</span>
<span class="n">separators</span><span class="o">=</span><span class="p">[</span><span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">False</span><span class="p">,</span> <span class="kc">True</span><span class="p">,</span> <span class="kc">False</span><span class="p">],</span>
<span class="n">indent</span><span class="o">=</span><span class="mi">4</span>
<span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">row</span><span class="p">(</span><span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">,</span> <span class="s1">'-'</span><span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">for</span> <span class="n">tag_label</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">tag_label_list</span><span class="p">:</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">f_measure</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'precision'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">precision</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'f_measure'</span><span class="p">][</span><span class="s1">'recall'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">recall</span> <span class="o">=</span> <span class="kc">None</span>
<span class="k">if</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">][</span><span class="s1">'eer'</span><span class="p">]</span> <span class="o">*</span> <span class="mi">100</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">eer</span> <span class="o">=</span> <span class="kc">None</span>
<span class="n">output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">ui</span><span class="o">.</span><span class="n">row</span><span class="p">(</span>
<span class="n">tag_label</span><span class="p">,</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'count'</span><span class="p">][</span><span class="s1">'Nref'</span><span class="p">],</span>
<span class="n">results</span><span class="p">[</span><span class="n">tag_label</span><span class="p">][</span><span class="s1">'count'</span><span class="p">][</span><span class="s1">'Nsys'</span><span class="p">],</span>
<span class="n">f_measure</span><span class="p">,</span>
<span class="n">precision</span><span class="p">,</span>
<span class="n">recall</span><span class="p">,</span>
<span class="n">eer</span><span class="p">,</span>
<span class="n">types</span><span class="o">=</span><span class="p">[</span><span class="s1">'str'</span><span class="p">,</span> <span class="s1">'int'</span><span class="p">,</span> <span class="s1">'int'</span><span class="p">,</span> <span class="s1">'float1_percentage'</span><span class="p">,</span> <span class="s1">'float1'</span><span class="p">,</span> <span class="s1">'float1'</span><span class="p">,</span> <span class="s1">'float1_percentage'</span><span class="p">]</span>
<span class="p">)</span> <span class="o">+</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span>
<span class="k">return</span> <span class="n">output</span></div></div>
</pre></div>
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<li class="toctree-l2"><a class="reference internal" href="../../install.html#requirements">Requirements</a></li>
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</li>
<li class="toctree-l1"><a class="reference internal" href="../../tutorial.html">Tutorial</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#sed-eval-evaluation-toolbox-for-sound-event-detection"><code class="docutils literal"><span class="pre">sed_eval</span></code> – Evaluation toolbox for Sound Event Detection</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#quickstart-using-the-evaluators">Quickstart: Using the evaluators</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#sound-event-detection">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#acoustic-scene-classification">Acoustic scene classification</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#quickstart-using-sed-eval-in-python-code">Quickstart: Using <code class="docutils literal"><span class="pre">sed_eval</span></code> in Python code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#id1">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#id2">Acoustic scene classification</a></li>
</ul>
</li>
</ul>
</li>
</ul>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../sound_event.html">Sound Event Detection</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#intermediate-statistics">Intermediate statistics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#segment-based">Segment-based</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#event-based">Event-based</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#averaging">Averaging</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#cross-validation">Cross-validation</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#implemented-metrics">Implemented metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#precision-recall-and-f-score">Precision, Recall and F-score</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#sensitivity-and-specificity">Sensitivity and specificity</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#accuracy">Accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#balanced-accuracy">Balanced accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#error-rate">Error Rate</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#module-sed_eval.sound_event">Code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#segment-based-metrics">Segment based metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.html">sed_eval.sound_event.SegmentBasedMetrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.evaluate.html">sed_eval.sound_event.SegmentBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results.html">sed_eval.sound_event.SegmentBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_overall</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.reset.html">sed_eval.sound_event.SegmentBasedMetrics.reset</a></li>
</ul>
</li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#event-based-metrics">Event based metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.html">sed_eval.sound_event.EventBasedMetrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.evaluate.html">sed_eval.sound_event.EventBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results.html">sed_eval.sound_event.EventBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_overall_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.result_report_parameters.html">sed_eval.sound_event.EventBasedMetrics.result_report_parameters</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.result_report_overall.html">sed_eval.sound_event.EventBasedMetrics.result_report_overall</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.html">sed_eval.sound_event.EventBasedMetrics.result_report_class_wise</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.html">sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.reset.html">sed_eval.sound_event.EventBasedMetrics.reset</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#rerefences">Rerefences</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../scene.html">Acoustic Scene Classification</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../scene.html#metrics">Metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.html">sed_eval.scene.SceneClassificationMetrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.evaluate.html">sed_eval.scene.SceneClassificationMetrics.evaluate</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.results.html">sed_eval.scene.SceneClassificationMetrics.results</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_overall_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.html">sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.result_report_parameters.html">sed_eval.scene.SceneClassificationMetrics.result_report_parameters</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.html">sed_eval.scene.SceneClassificationMetrics.result_report_class_wise</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.html">sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.scene.SceneClassificationMetrics.reset.html">sed_eval.scene.SceneClassificationMetrics.reset</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../audio_tag.html">Audio Tagging</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../audio_tag.html#metrics">Metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.html">sed_eval.audio_tag.AudioTaggingMetrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.evaluate.html">sed_eval.audio_tag.AudioTaggingMetrics.evaluate</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results.html">sed_eval.audio_tag.AudioTaggingMetrics.results</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.html">sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.html">sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.audio_tag.AudioTaggingMetrics.reset.html">sed_eval.audio_tag.AudioTaggingMetrics.reset</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../metric.html">Metrics</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.f_measure.html">sed_eval.metric.f_measure</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.precision.html">sed_eval.metric.precision</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.recall.html">sed_eval.metric.recall</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.accuracy.html">sed_eval.metric.accuracy</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.accuracy2.html">sed_eval.metric.accuracy2</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.balanced_accuracy.html">sed_eval.metric.balanced_accuracy</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.sensitivity.html">sed_eval.metric.sensitivity</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.specificity.html">sed_eval.metric.specificity</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.error_rate.html">sed_eval.metric.error_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.substitution_rate.html">sed_eval.metric.substitution_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.deletion_rate.html">sed_eval.metric.deletion_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.insertion_rate.html">sed_eval.metric.insertion_rate</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.metric.equal_error_rate.html">sed_eval.metric.equal_error_rate</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../test.html">Tests</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.test.mcnemar.html">sed_eval.test.mcnemar</a></li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../util.html">Utilities</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../util.html#event-list-operations">Event list operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_list.unique_event_labels.html">sed_eval.util.event_list.unique_event_labels</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_list.unique_files.html">sed_eval.util.event_list.unique_files</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_list.filter_event_list.html">sed_eval.util.event_list.filter_event_list</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_list.max_event_offset.html">sed_eval.util.event_list.max_event_offset</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../util.html#event-roll-operations">Event roll operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_roll.event_list_to_event_roll.html">sed_eval.util.event_roll.event_list_to_event_roll</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_roll.pad_event_roll.html">sed_eval.util.event_roll.pad_event_roll</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_roll.match_event_roll_lengths.html">sed_eval.util.event_roll.match_event_roll_lengths</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../util.html#scene-list-operations">Scene list operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.scene_list.unique_scene_labels.html">sed_eval.util.scene_list.unique_scene_labels</a></li>
</ul>
</li>
<li class="toctree-l2"><a class="reference internal" href="../../util.html#event-matching-operations">Event matching operations</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../generated/sed_eval.util.event_matching.bipartite_match.html">sed_eval.util.event_matching.bipartite_match</a></li>
</ul>
</li>
</ul>
</li>
<li class="toctree-l1"><a class="reference internal" href="../../io.html">I/O</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.io.load_event_list.html">sed_eval.io.load_event_list</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.io.load_scene_list.html">sed_eval.io.load_scene_list</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../generated/sed_eval.io.load_file_pair_list.html">sed_eval.io.load_file_pair_list</a></li>
</ul>
</li>
</ul>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../glossary.html">Glossary</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../changelog.html">Changes</a><ul>
<li class="toctree-l2"><a class="reference internal" href="../../changelog.html#v0-2-0">v0.2.0</a></li>
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<h1>Source code for sed_eval.io</h1><div class="highlight"><pre>
<span></span><span class="ch">#!/usr/bin/env python</span>
<span class="c1"># -*- coding: utf-8 -*-</span>
<span class="sd">"""</span>
<span class="sd">I/O</span>
<span class="sd">==================</span>
<span class="sd">Functions for loading annotations from files in various formats.</span>
<span class="sd">.. autosummary::</span>
<span class="sd"> :toctree: generated/</span>
<span class="sd"> load_event_list</span>
<span class="sd"> load_scene_list</span>
<span class="sd"> load_file_pair_list</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">__future__</span> <span class="k">import</span> <span class="n">absolute_import</span>
<span class="kn">import</span> <span class="nn">csv</span>
<span class="kn">import</span> <span class="nn">dcase_util</span>
<div class="viewcode-block" id="load_event_list"><a class="viewcode-back" href="../../generated/sed_eval.io.load_event_list.html#sed_eval.io.load_event_list">[docs]</a><span class="k">def</span> <span class="nf">load_event_list</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Load event list from csv formatted text-file</span>
<span class="sd"> Supported formats (see more `dcase_util.containers.MetaDataContainer.load()` method):</span>
<span class="sd"> - [event onset (float >= 0)][delimiter][event offset (float >= 0)]</span>
<span class="sd"> - [event onset (float >= 0)][delimiter][event offset (float >= 0)][delimiter][label]</span>
<span class="sd"> - [filename][delimiter][event onset (float >= 0)][delimiter][event offset (float >= 0)][delimiter][event label]</span>
<span class="sd"> - [filename][delimiter][scene_label][delimiter][event onset (float >= 0)][delimiter][event offset (float >= 0)][delimiter][event label]</span>
<span class="sd"> - [filename]</span>
<span class="sd"> Supported delimiters: ``,``, ``;``, ``tab``</span>
<span class="sd"> Example of event list file::</span>
<span class="sd"> 21.64715 23.00552 alert</span>
<span class="sd"> 36.91184 38.27021 alert</span>
<span class="sd"> 69.72575 71.09029 alert</span>
<span class="sd"> 63.53990 64.89827 alert</span>
<span class="sd"> 84.25553 84.83920 alert</span>
<span class="sd"> 20.92974 21.82661 clearthroat</span>
<span class="sd"> 28.39992 29.29679 clearthroat</span>
<span class="sd"> 80.47837 81.95937 clearthroat</span>
<span class="sd"> 44.48363 45.96463 clearthroat</span>
<span class="sd"> 78.13073 79.05953 clearthroat</span>
<span class="sd"> 15.17031 16.27235 cough</span>
<span class="sd"> 20.54931 21.65135 cough</span>
<span class="sd"> 27.79964 28.90168 cough</span>
<span class="sd"> 75.45959 76.32490 cough</span>
<span class="sd"> 70.81708 71.91912 cough</span>
<span class="sd"> 21.23203 22.55902 doorslam</span>
<span class="sd"> 7.546220 9.014880 doorslam</span>
<span class="sd"> 34.11303 35.04183 doorslam</span>
<span class="sd"> 45.86001 47.32867 doorslam</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> filename : str</span>
<span class="sd"> Path to the csv-file</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> list of dict</span>
<span class="sd"> Event list</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">()</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
<div class="viewcode-block" id="load_scene_list"><a class="viewcode-back" href="../../generated/sed_eval.io.load_scene_list.html#sed_eval.io.load_scene_list">[docs]</a><span class="k">def</span> <span class="nf">load_scene_list</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
<span class="sd">"""Load scene list from csv formatted text-file</span>
<span class="sd"> Supported formats (see more `dcase_util.containers.MetaDataContainer.load()` method):</span>
<span class="sd"> - [filename][delimiter][scene label]</span>
<span class="sd"> - [filename][delimiter][segment start (float >= 0)][delimiter][segment stop (float >= 0)][delimiter][scene label]</span>
<span class="sd"> Supported delimiters: ``,``, ``;``, ``tab``</span>
<span class="sd"> Example of scene list file::</span>
<span class="sd"> scenes_stereo/supermarket09.wav supermarket</span>
<span class="sd"> scenes_stereo/tubestation10.wav tubestation</span>
<span class="sd"> scenes_stereo/quietstreet08.wav quietstreet</span>
<span class="sd"> scenes_stereo/restaurant05.wav restaurant</span>
<span class="sd"> scenes_stereo/busystreet05.wav busystreet</span>
<span class="sd"> scenes_stereo/openairmarket04.wav openairmarket</span>
<span class="sd"> scenes_stereo/quietstreet01.wav quietstreet</span>
<span class="sd"> scenes_stereo/supermarket05.wav supermarket</span>
<span class="sd"> scenes_stereo/openairmarket01.wav openairmarket</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> filename : str</span>
<span class="sd"> Path to the csv-file</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> list of dict</span>
<span class="sd"> Scene list</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">dcase_util</span><span class="o">.</span><span class="n">containers</span><span class="o">.</span><span class="n">MetaDataContainer</span><span class="p">()</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="n">filename</span><span class="o">=</span><span class="n">filename</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span></div>
<div class="viewcode-block" id="load_file_pair_list"><a class="viewcode-back" href="../../generated/sed_eval.io.load_file_pair_list.html#sed_eval.io.load_file_pair_list">[docs]</a><span class="k">def</span> <span class="nf">load_file_pair_list</span><span class="p">(</span><span class="n">filename</span><span class="p">):</span>
<span class="sd">"""Load file pair list csv formatted text-file</span>
<span class="sd"> Format is [reference_file][delimiter][estimated_file]</span>
<span class="sd"> Supported delimiters: ``,``, ``;``, ``tab``</span>
<span class="sd"> Example of file-list::</span>
<span class="sd"> office_snr0_high_v2.txt office_snr0_high_v2_detected.txt</span>
<span class="sd"> office_snr0_med_v2.txt office_snr0_med_v2_detected.txt</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> filename : str</span>
<span class="sd"> Path to the csv-file</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> file_list: list</span>
<span class="sd"> File pair dicts in a list</span>
<span class="sd"> """</span>
<span class="n">data</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">input_file</span> <span class="o">=</span> <span class="nb">open</span><span class="p">(</span><span class="n">filename</span><span class="p">,</span> <span class="s1">'rt'</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">dialect</span> <span class="o">=</span> <span class="n">csv</span><span class="o">.</span><span class="n">Sniffer</span><span class="p">()</span><span class="o">.</span><span class="n">sniff</span><span class="p">(</span><span class="n">input_file</span><span class="o">.</span><span class="n">readline</span><span class="p">(),</span> <span class="p">[</span><span class="s1">','</span><span class="p">,</span> <span class="s1">';'</span><span class="p">,</span> <span class="s1">'</span><span class="se">\t</span><span class="s1">'</span><span class="p">])</span>
<span class="k">except</span> <span class="n">csv</span><span class="o">.</span><span class="n">Error</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Unknown delimiter in file [</span><span class="si">{file}</span><span class="s1">].'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="o">=</span><span class="n">filename</span><span class="p">))</span>
<span class="n">input_file</span><span class="o">.</span><span class="n">seek</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="k">for</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">csv</span><span class="o">.</span><span class="n">reader</span><span class="p">(</span><span class="n">input_file</span><span class="p">,</span> <span class="n">dialect</span><span class="p">):</span>
<span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">row</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">:</span>
<span class="n">data</span><span class="o">.</span><span class="n">append</span><span class="p">(</span>
<span class="p">{</span>
<span class="s1">'reference_file'</span><span class="p">:</span> <span class="n">row</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
<span class="s1">'estimated_file'</span><span class="p">:</span> <span class="n">row</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Unknown file pair list format in file [</span><span class="si">{file}</span><span class="s1">].'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">file</span><span class="o">=</span><span class="n">filename</span><span class="p">))</span>
<span class="n">input_file</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
<span class="k">return</span> <span class="n">data</span></div>
</pre></div>
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<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#sed-eval-evaluation-toolbox-for-sound-event-detection"><code class="docutils literal"><span class="pre">sed_eval</span></code> – Evaluation toolbox for Sound Event Detection</a></li>
<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#quickstart-using-the-evaluators">Quickstart: Using the evaluators</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#sound-event-detection">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#acoustic-scene-classification">Acoustic scene classification</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../tutorial.html#quickstart-using-sed-eval-in-python-code">Quickstart: Using <code class="docutils literal"><span class="pre">sed_eval</span></code> in Python code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#id1">Sound event detection</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../tutorial.html#id2">Acoustic scene classification</a></li>
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<li class="toctree-l1"><a class="reference internal" href="../../sound_event.html">Sound Event Detection</a><ul>
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<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#segment-based">Segment-based</a></li>
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<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#implemented-metrics">Implemented metrics</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#precision-recall-and-f-score">Precision, Recall and F-score</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#sensitivity-and-specificity">Sensitivity and specificity</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#accuracy">Accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#balanced-accuracy">Balanced accuracy</a></li>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#error-rate">Error Rate</a></li>
</ul>
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<li class="toctree-l2"><a class="reference internal" href="../../sound_event.html#module-sed_eval.sound_event">Code</a><ul>
<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#segment-based-metrics">Segment based metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.html">sed_eval.sound_event.SegmentBasedMetrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.evaluate.html">sed_eval.sound_event.SegmentBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results.html">sed_eval.sound_event.SegmentBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.html">sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_overall</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.html">sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.SegmentBasedMetrics.reset.html">sed_eval.sound_event.SegmentBasedMetrics.reset</a></li>
</ul>
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<li class="toctree-l3"><a class="reference internal" href="../../sound_event.html#event-based-metrics">Event based metrics</a><ul>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.html">sed_eval.sound_event.EventBasedMetrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.evaluate.html">sed_eval.sound_event.EventBasedMetrics.evaluate</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results.html">sed_eval.sound_event.EventBasedMetrics.results</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_overall_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.html">sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics</a></li>
<li class="toctree-l4"><a class="reference internal" href="../../generated/s
gitextract_rwh6jdyn/
├── .coveragerc
├── .gitignore
├── .travis.yml
├── CODE_OF_CONDUCT.md
├── CONTRIBUTING.md
├── LICENSE.txt
├── README.rst
├── docs/
│ ├── .buildinfo
│ ├── .nojekyll
│ ├── _modules/
│ │ ├── index.html
│ │ └── sed_eval/
│ │ ├── audio_tag.html
│ │ ├── io.html
│ │ ├── metric.html
│ │ ├── scene.html
│ │ ├── sound_event.html
│ │ ├── test.html
│ │ └── util/
│ │ ├── event_list.html
│ │ ├── event_matching.html
│ │ ├── event_roll.html
│ │ └── scene_list.html
│ ├── _sources/
│ │ ├── audio_tag.rst.txt
│ │ ├── changelog.rst.txt
│ │ ├── generated/
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.reset.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.rst.txt
│ │ │ ├── sed_eval.io.load_event_list.rst.txt
│ │ │ ├── sed_eval.io.load_file_pair_list.rst.txt
│ │ │ ├── sed_eval.io.load_scene_list.rst.txt
│ │ │ ├── sed_eval.metric.accuracy.rst.txt
│ │ │ ├── sed_eval.metric.accuracy2.rst.txt
│ │ │ ├── sed_eval.metric.balanced_accuracy.rst.txt
│ │ │ ├── sed_eval.metric.deletion_rate.rst.txt
│ │ │ ├── sed_eval.metric.equal_error_rate.rst.txt
│ │ │ ├── sed_eval.metric.error_rate.rst.txt
│ │ │ ├── sed_eval.metric.f_measure.rst.txt
│ │ │ ├── sed_eval.metric.insertion_rate.rst.txt
│ │ │ ├── sed_eval.metric.precision.rst.txt
│ │ │ ├── sed_eval.metric.recall.rst.txt
│ │ │ ├── sed_eval.metric.sensitivity.rst.txt
│ │ │ ├── sed_eval.metric.specificity.rst.txt
│ │ │ ├── sed_eval.metric.substitution_rate.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.reset.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.scene.SceneClassificationMetrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.reset.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_overall.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.EventBasedMetrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.evaluate.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.reset.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.rst.txt
│ │ │ ├── sed_eval.sound_event.SegmentBasedMetrics.rst.txt
│ │ │ ├── sed_eval.test.mcnemar.rst.txt
│ │ │ ├── sed_eval.util.event_list.filter_event_list.rst.txt
│ │ │ ├── sed_eval.util.event_list.max_event_offset.rst.txt
│ │ │ ├── sed_eval.util.event_list.unique_event_labels.rst.txt
│ │ │ ├── sed_eval.util.event_list.unique_files.rst.txt
│ │ │ ├── sed_eval.util.event_matching.bipartite_match.rst.txt
│ │ │ ├── sed_eval.util.event_roll.event_list_to_event_roll.rst.txt
│ │ │ ├── sed_eval.util.event_roll.match_event_roll_lengths.rst.txt
│ │ │ ├── sed_eval.util.event_roll.pad_event_roll.rst.txt
│ │ │ └── sed_eval.util.scene_list.unique_scene_labels.rst.txt
│ │ ├── glossary.rst.txt
│ │ ├── index.rst.txt
│ │ ├── install.rst.txt
│ │ ├── io.rst.txt
│ │ ├── metric.rst.txt
│ │ ├── scene.rst.txt
│ │ ├── sound_event.rst.txt
│ │ ├── test.rst.txt
│ │ ├── tutorial.rst.txt
│ │ └── util.rst.txt
│ ├── _static/
│ │ ├── basic.css
│ │ ├── css/
│ │ │ ├── badge_only.css
│ │ │ └── theme.css
│ │ ├── doctools.js
│ │ ├── jquery-3.1.0.js
│ │ ├── jquery.js
│ │ ├── js/
│ │ │ └── theme.js
│ │ ├── pygments.css
│ │ ├── searchtools.js
│ │ ├── theme_overrides.css
│ │ ├── underscore-1.3.1.js
│ │ ├── underscore.js
│ │ └── websupport.js
│ ├── audio_tag.html
│ ├── changelog.html
│ ├── generated/
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.evaluate.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.reset.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.result_report_parameters.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.audio_tag.AudioTaggingMetrics.results_overall_metrics.html
│ │ ├── sed_eval.io.load_event_list.html
│ │ ├── sed_eval.io.load_file_pair_list.html
│ │ ├── sed_eval.io.load_scene_list.html
│ │ ├── sed_eval.metric.accuracy.html
│ │ ├── sed_eval.metric.accuracy2.html
│ │ ├── sed_eval.metric.balanced_accuracy.html
│ │ ├── sed_eval.metric.deletion_rate.html
│ │ ├── sed_eval.metric.equal_error_rate.html
│ │ ├── sed_eval.metric.error_rate.html
│ │ ├── sed_eval.metric.f_measure.html
│ │ ├── sed_eval.metric.insertion_rate.html
│ │ ├── sed_eval.metric.precision.html
│ │ ├── sed_eval.metric.recall.html
│ │ ├── sed_eval.metric.sensitivity.html
│ │ ├── sed_eval.metric.specificity.html
│ │ ├── sed_eval.metric.substitution_rate.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.evaluate.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.reset.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.result_report_parameters.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.scene.SceneClassificationMetrics.results_overall_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.evaluate.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.reset.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_overall.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.result_report_parameters.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.sound_event.EventBasedMetrics.results_overall_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.evaluate.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.reset.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_class_wise_average.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_overall.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.result_report_parameters.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_average_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_class_wise_metrics.html
│ │ ├── sed_eval.sound_event.SegmentBasedMetrics.results_overall_metrics.html
│ │ ├── sed_eval.test.mcnemar.html
│ │ ├── sed_eval.util.event_list.filter_event_list.html
│ │ ├── sed_eval.util.event_list.max_event_offset.html
│ │ ├── sed_eval.util.event_list.unique_event_labels.html
│ │ ├── sed_eval.util.event_list.unique_files.html
│ │ ├── sed_eval.util.event_matching.bipartite_match.html
│ │ ├── sed_eval.util.event_roll.event_list_to_event_roll.html
│ │ ├── sed_eval.util.event_roll.match_event_roll_lengths.html
│ │ ├── sed_eval.util.event_roll.pad_event_roll.html
│ │ └── sed_eval.util.scene_list.unique_scene_labels.html
│ ├── genindex.html
│ ├── glossary.html
│ ├── index.html
│ ├── install.html
│ ├── io.html
│ ├── metric.html
│ ├── objects.inv
│ ├── py-modindex.html
│ ├── scene.html
│ ├── search.html
│ ├── searchindex.js
│ ├── sound_event.html
│ ├── test.html
│ ├── tutorial.html
│ └── util.html
├── documentation/
│ ├── Makefile
│ ├── README.md
│ ├── requirements.txt
│ └── source/
│ ├── __init__.py
│ ├── _static/
│ │ ├── .nojekyll
│ │ └── theme_overrides.css
│ ├── audio_tag.rst
│ ├── changelog.rst
│ ├── conf.py
│ ├── glossary.rst
│ ├── index.rst
│ ├── install.rst
│ ├── io.rst
│ ├── metric.rst
│ ├── scene.rst
│ ├── sound_event.rst
│ ├── test.rst
│ ├── tutorial.rst
│ └── util.rst
├── evaluators/
│ ├── README.md
│ ├── scene_eval.py
│ └── sound_event_eval.py
├── requirements.txt
├── sed_eval/
│ ├── __init__.py
│ ├── audio_tag.py
│ ├── io.py
│ ├── metric.py
│ ├── scene.py
│ ├── sound_event.py
│ ├── test.py
│ └── util/
│ ├── __init__.py
│ ├── event_list.py
│ ├── event_matching.py
│ ├── event_roll.py
│ └── scene_list.py
├── setup.cfg
├── setup.py
└── tests/
├── README.md
├── data/
│ ├── audio_tagging/
│ │ ├── estimated.txt
│ │ └── reference.txt
│ ├── scene/
│ │ ├── estimated_a.txt
│ │ ├── estimated_b.txt
│ │ ├── file_list.txt
│ │ ├── fold1_estimated.txt
│ │ ├── fold1_reference.txt
│ │ ├── fold2_estimated.txt
│ │ ├── fold2_reference.txt
│ │ ├── fold3_estimated.txt
│ │ ├── fold3_reference.txt
│ │ ├── fold4_estimated.txt
│ │ ├── fold4_reference.txt
│ │ ├── fold5_estimated.txt
│ │ ├── fold5_reference.txt
│ │ └── reference.txt
│ └── sound_event/
│ ├── audioset1.txt
│ ├── audioset1_detected.txt
│ ├── binary1.txt
│ ├── binary1_detected.txt
│ ├── binary2.txt
│ ├── binary2_detected.txt
│ ├── binary3.txt
│ ├── binary3_detected.txt
│ ├── binary4.txt
│ ├── binary4_detected.txt
│ ├── binary5.txt
│ ├── binary5_detected.txt
│ ├── file_list.txt
│ ├── file_list_audioset.txt
│ ├── file_list_binary.txt
│ ├── mini_detected_a.txt
│ ├── mini_detected_b.txt
│ ├── mini_reference.txt
│ ├── office_snr0_high_v2.txt
│ ├── office_snr0_high_v2_detected.txt
│ ├── office_snr0_med_v2.txt
│ ├── office_snr0_med_v2_detected.txt
│ ├── street_fold1_detected.txt
│ └── street_fold1_reference.txt
├── test_audio_tag.py
├── test_io.py
├── test_metric.py
├── test_scene.py
├── test_sound_event.py
├── test_test.py
└── test_util.py
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function sortComments (line 530) | function sortComments(comments) {
function getChildren (line 542) | function getChildren(ul, recursive) {
function createCommentDiv (line 555) | function createCommentDiv(comment) {
function renderTemplate (line 593) | function renderTemplate(template, context) {
function showError (line 610) | function showError(message) {
FILE: documentation/source/conf.py
class Mock (line 151) | class Mock(MagicMock):
method __getattr__ (line 153) | def __getattr__(cls, name):
FILE: evaluators/scene_eval.py
function process_arguments (line 63) | def process_arguments(argv):
function main (line 89) | def main(argv):
FILE: evaluators/sound_event_eval.py
function process_arguments (line 69) | def process_arguments(argv):
function main (line 94) | def main(argv):
FILE: sed_eval/audio_tag.py
class AudioTaggingMetrics (line 259) | class AudioTaggingMetrics:
method __init__ (line 260) | def __init__(self, tags=None):
method __str__ (line 293) | def __str__(self):
method evaluate (line 304) | def evaluate(self, reference_tag_list, estimated_tag_list=None, estima...
method reset (line 423) | def reset(self):
method results (line 449) | def results(self):
method results_overall_metrics (line 467) | def results_overall_metrics(self):
method results_class_wise_metrics (line 530) | def results_class_wise_metrics(self):
method results_class_wise_average_metrics (line 597) | def results_class_wise_average_metrics(self):
method result_report_parameters (line 659) | def result_report_parameters(self):
method result_report_overall (line 674) | def result_report_overall(self):
method result_report_class_wise_average (line 725) | def result_report_class_wise_average(self):
method result_report_class_wise (line 775) | def result_report_class_wise(self):
FILE: sed_eval/io.py
function load_event_list (line 22) | def load_event_list(filename, **kwargs):
function load_scene_list (line 73) | def load_scene_list(filename, **kwargs):
function load_file_pair_list (line 110) | def load_file_pair_list(filename):
FILE: sed_eval/metric.py
function precision (line 31) | def precision(Ntp, Nsys, eps=numpy.spacing(1)):
function recall (line 61) | def recall(Ntp, Nref, eps=numpy.spacing(1)):
function f_measure (line 91) | def f_measure(precision, recall, beta=1.0):
function sensitivity (line 122) | def sensitivity(Ntp, Nfn, eps=numpy.spacing(1)):
function specificity (line 149) | def specificity(Ntn, Nfp, eps=numpy.spacing(1)):
function balanced_accuracy (line 176) | def balanced_accuracy(sensitivity, specificity, factor=0.5):
function accuracy (line 203) | def accuracy(Ntp, Ntn, Nfp, Nfn, eps=numpy.spacing(1)):
function accuracy_corr (line 234) | def accuracy_corr(Ncorr, N, eps=numpy.spacing(1)):
function accuracy2 (line 259) | def accuracy2(Ntp, Nfp, Nfn, eps=numpy.spacing(1)):
function substitution_rate (line 294) | def substitution_rate(Nref, Nsubstitutions, eps=numpy.spacing(1)):
function deletion_rate (line 319) | def deletion_rate(Nref, Ndeletions, eps=numpy.spacing(1)):
function insertion_rate (line 344) | def insertion_rate(Nref, Ninsertions, eps=numpy.spacing(1)):
function error_rate (line 369) | def error_rate(substitution_rate_value=0.0, deletion_rate_value=0.0, ins...
function equal_error_rate (line 396) | def equal_error_rate(y_true, y_score, eps=numpy.spacing(1)):
FILE: sed_eval/scene.py
class SceneClassificationMetrics (line 161) | class SceneClassificationMetrics:
method __init__ (line 162) | def __init__(self, scene_labels=None):
method __enter__ (line 182) | def __enter__(self):
method __exit__ (line 185) | def __exit__(self, type, value, traceback):
method __str__ (line 188) | def __str__(self):
method evaluate (line 198) | def evaluate(self, reference_scene_list, estimated_scene_list=None, es...
method reset (line 289) | def reset(self):
method result_report_parameters (line 307) | def result_report_parameters(self):
method result_report_class_wise (line 322) | def result_report_class_wise(self):
method result_report_class_wise_average (line 356) | def result_report_class_wise_average(self):
method results (line 377) | def results(self):
method results_overall_metrics (line 395) | def results_overall_metrics(self):
method results_class_wise_metrics (line 415) | def results_class_wise_metrics(self):
method results_class_wise_average_metrics (line 443) | def results_class_wise_average_metrics(self):
method class_wise_accuracy (line 466) | def class_wise_accuracy(self, scene_label):
FILE: sed_eval/sound_event.py
class SoundEventMetrics (line 238) | class SoundEventMetrics(object):
method __init__ (line 242) | def __init__(self,
method result_report_overall (line 262) | def result_report_overall(self):
method result_report_class_wise_average (line 309) | def result_report_class_wise_average(self):
method result_report_class_wise (line 356) | def result_report_class_wise(self):
method overall_f_measure (line 432) | def overall_f_measure(self):
method overall_error_rate (line 435) | def overall_error_rate(self):
method overall_accuracy (line 438) | def overall_accuracy(self, factor=0.5):
method class_wise_count (line 442) | def class_wise_count(self, event_label):
method class_wise_f_measure (line 445) | def class_wise_f_measure(self, event_label):
method class_wise_error_rate (line 448) | def class_wise_error_rate(self, event_label):
method class_wise_accuracy (line 451) | def class_wise_accuracy(self, event_label):
method results_overall_metrics (line 455) | def results_overall_metrics(self):
method results_class_wise_metrics (line 471) | def results_class_wise_metrics(self):
method results_class_wise_average_metrics (line 493) | def results_class_wise_average_metrics(self):
method results (line 579) | def results(self):
class SegmentBasedMetrics (line 596) | class SegmentBasedMetrics(SoundEventMetrics):
method __init__ (line 597) | def __init__(self,
method __enter__ (line 659) | def __enter__(self):
method __exit__ (line 662) | def __exit__(self, type, value, traceback):
method __str__ (line 665) | def __str__(self):
method evaluate (line 676) | def evaluate(self, reference_event_list, estimated_event_list, evaluat...
method reset (line 817) | def reset(self):
method overall_f_measure (line 847) | def overall_f_measure(self):
method overall_error_rate (line 881) | def overall_error_rate(self):
method overall_accuracy (line 919) | def overall_accuracy(self, factor=0.5):
method class_wise_count (line 965) | def class_wise_count(self, event_label):
method class_wise_f_measure (line 980) | def class_wise_f_measure(self, event_label):
method class_wise_error_rate (line 1014) | def class_wise_error_rate(self, event_label):
method class_wise_accuracy (line 1045) | def class_wise_accuracy(self, event_label, factor=0.5):
method result_report_parameters (line 1086) | def result_report_parameters(self):
class EventBasedMetrics (line 1108) | class EventBasedMetrics(SoundEventMetrics):
method __init__ (line 1109) | def __init__(self,
method __enter__ (line 1203) | def __enter__(self):
method __exit__ (line 1206) | def __exit__(self, type, value, traceback):
method __str__ (line 1209) | def __str__(self):
method evaluate (line 1233) | def evaluate(self, reference_event_list, estimated_event_list):
method reset (line 1577) | def reset(self):
method validate_onset (line 1604) | def validate_onset(reference_event, estimated_event, t_collar=0.200):
method validate_offset (line 1633) | def validate_offset(reference_event, estimated_event, t_collar=0.200, ...
method overall_f_measure (line 1671) | def overall_f_measure(self):
method overall_error_rate (line 1705) | def overall_error_rate(self):
method class_wise_count (line 1743) | def class_wise_count(self, event_label):
method class_wise_f_measure (line 1758) | def class_wise_f_measure(self, event_label):
method class_wise_error_rate (line 1792) | def class_wise_error_rate(self, event_label):
method result_report_parameters (line 1824) | def result_report_parameters(self):
FILE: sed_eval/test.py
function mcnemar (line 15) | def mcnemar(reference, estimated_a, estimated_b):
FILE: sed_eval/util/event_list.py
function filter_event_list (line 15) | def filter_event_list(event_list, scene_label=None, event_label=None, fi...
function unique_files (line 46) | def unique_files(event_list):
function unique_event_labels (line 78) | def unique_event_labels(event_list):
function max_event_offset (line 106) | def max_event_offset(event_list):
FILE: sed_eval/util/event_matching.py
function bipartite_match (line 7) | def bipartite_match(graph):
FILE: sed_eval/util/event_roll.py
function event_list_to_event_roll (line 13) | def event_list_to_event_roll(source_event_list, event_label_list=None, t...
function pad_event_roll (line 74) | def pad_event_roll(event_roll, length):
function match_event_roll_lengths (line 99) | def match_event_roll_lengths(event_roll_a, event_roll_b, length=None):
FILE: sed_eval/util/scene_list.py
function unique_scene_labels (line 11) | def unique_scene_labels(scene_list):
FILE: tests/test_audio_tag.py
function test_direct_use (line 12) | def test_direct_use():
function test_direct_use2 (line 241) | def test_direct_use2():
function test_parameters_1 (line 451) | def test_parameters_1():
FILE: tests/test_io.py
function test_load_event_list (line 9) | def test_load_event_list():
function test_load_scene_list (line 53) | def test_load_scene_list():
function test_load_file_pair_list (line 69) | def test_load_file_pair_list():
FILE: tests/test_metric.py
function test_precision (line 9) | def test_precision():
function test_recall (line 15) | def test_recall():
function test_f_measure (line 21) | def test_f_measure():
function test_sensitivity (line 29) | def test_sensitivity():
function test_specificity (line 35) | def test_specificity():
function test_balanced_accuracy (line 41) | def test_balanced_accuracy():
function test_substitution_rate (line 47) | def test_substitution_rate():
function test_deletion_rate (line 53) | def test_deletion_rate():
function test_insertion_rate (line 59) | def test_insertion_rate():
function test_error_rate (line 65) | def test_error_rate():
FILE: tests/test_scene.py
function test_direct_use (line 11) | def test_direct_use():
function test_direct_use2 (line 72) | def test_direct_use2():
function test_parameters_1 (line 138) | def test_parameters_1():
FILE: tests/test_sound_event.py
function test_parameters_1 (line 12) | def test_parameters_1():
function test_parameters_2 (line 29) | def test_parameters_2():
function test_parameters_3 (line 45) | def test_parameters_3():
function test_parameters_4 (line 62) | def test_parameters_4():
function test_dcase_style (line 79) | def test_dcase_style():
function test_dcase_style2 (line 127) | def test_dcase_style2():
function test_binary (line 166) | def test_binary():
function test_audioset (line 245) | def test_audioset():
function test_direct_use_segment (line 293) | def test_direct_use_segment():
function test_direct_use_event (line 365) | def test_direct_use_event():
function test_event_matching (line 436) | def test_event_matching():
function test_empty_system_output_handling (line 759) | def test_empty_system_output_handling():
FILE: tests/test_test.py
function test_mcnemar (line 10) | def test_mcnemar():
FILE: tests/test_util.py
function test_unique_event_labels (line 103) | def test_unique_event_labels():
function test_max_event_offset (line 107) | def test_max_event_offset():
function test_unique_scene_labels (line 111) | def test_unique_scene_labels():
function test_event_list_to_event_roll (line 115) | def test_event_list_to_event_roll():
function test_pad_event_roll (line 153) | def test_pad_event_roll():
function test_match_event_roll_lengths (line 160) | def test_match_event_roll_lengths():
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// ... and 83 more files (download for full content)
About this extraction
This page contains the full source code of the TUT-ARG/sed_eval GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 283 files (4.3 MB), approximately 1.1M tokens, and a symbol index with 325 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.