semvec/pypi-packages huggingface dataset:
kmtools 0.0.27
Bits of reusable code to make our lives easier.
License: MIT

# KMTools

[![anaconda](https://img.shields.io/conda/dn/kimlab/kmtools.svg)](https://anaconda.org/kimlab/kmtools/)
[![docs](https://img.shields.io/badge/docs-v0.0.27-blue.svg?version=latest)](https://kimlab.gitlab.io/kmtools/v0.0.27/)
[![build status](https://gitlab.com/kimlab/kmtools/badges/v0.0.27/build.svg)](https://gitlab.com/kimlab/kmtools/commits/v0.0.27/)
[![coverage report](https://gitlab.com/kimlab/kmtools/badges/v0.0.27/coverage.svg)](https://kimlab.gitlab.io/kmtools/v0.0.27/htmlcov/)

Bits of reusable code to make our lives easier.

Follows the *Whole Sort of General Mish Mash* design principle.

## Contents

- [Tools](#tools)
  - [DB tools](#db-tools)
  - [DF tools](#df-tools)
  - [PY tools](#py-tools)
  - [Sequence tools](#sequence-tools)
  - [Structure tools](#structure-tools)
  - [System tools](#system-tools)
- [Contributing](#contributing)

## Tools

### Structure tools

Using [kmbio](https://github.com/kimlaborg/kmbio) instead of [biopython](https://github.com/biopython/biopython) leads to substantially better performance (> 2x with lots of room for improvement).

#### To do

- [ ] Cythonize more bottlenecks to improve performance.
- [ ] Add Python / Cython code for generating biological assemblies.

## Contributing

- Make sure all tests pass before merging into master.
- Follow the PEP8 / PyFlake / Flake8 / etc. guidelines.
- Add tests for new code.
- Try to document things.
- Break any / all of the above if you have a good reason.
sed_eval 0.2.1
Evaluation toolbox for Sound Event Detection
License: MIT
Keywords: audio analysis,sound event detection,dsp

sed_eval - Evaluation toolbox for Sound Event Detection
=======================================================

.. image:: https://travis-ci.org/TUT-ARG/sed_eval.svg?branch=master
    :target: https://travis-ci.org/TUT-ARG/sed_eval

.. image:: https://coveralls.io/repos/github/TUT-ARG/sed_eval/badge.svg?branch=master 
    :target: https://coveralls.io/github/TUT-ARG/sed_eval?branch=master

.. image:: https://img.shields.io/pypi/v/sed_eval.svg
    :target: https://pypi.python.org/pypi/sed_eval

.. image:: https://img.shields.io/badge/license-MIT-blue.svg
    :target: https://opensource.org/licenses/MIT

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>`_.