Metadata-Version: 2.1
Name: pypianoroll
Version: 1.0.2
Summary: A toolkit for working with piano rolls
Home-page: UNKNOWN
Author: Hao-Wen Dong
Author-email: salu.hwdong@gmail.com
License: MIT
Download-URL: https://github.com/salu133445/pypianoroll/archive/v1.0.2.tar.gz
Project-URL: Documentation, https://salu133445.github.io/pypianoroll/
Description: Pypianoroll
        ===========
        
        [![Travis](https://img.shields.io/travis/com/salu133445/pypianoroll)](https://travis-ci.com/salu133445/pypianoroll)
        [![Codecov](https://img.shields.io/codecov/c/github/salu133445/pypianoroll)](https://codecov.io/gh/salu133445/pypianoroll)
        [![GitHub license](https://img.shields.io/github/license/salu133445/pypianoroll)](https://github.com/salu133445/pypianoroll/blob/master/LICENSE)
        [![GitHub release](https://img.shields.io/github/v/release/salu133445/pypianoroll)](https://github.com/salu133445/pypianoroll/releases)
        
        
        Pypianoroll is an open source Python library for working with piano rolls. It provides essential tools for handling multitrack piano rolls, including efficient I/O as well as manipulation, visualization and evaluation tools.
        
        
        Features
        --------
        
        - Manipulate multitrack piano rolls intuitively
        - Visualize multitrack piano rolls beautifully
        - Save and load multitrack piano rolls in a space-efficient format
        - Parse MIDI files into multitrack piano rolls
        - Write multitrack piano rolls into MIDI files
        
        
        Why Pypianoroll
        ---------------
        
        Our aim is to provide convenient classes for piano-roll matrix and MIDI-like track information (program number, track name, drum track indicator). Pypianoroll is also designed to provide efficient I/O for piano rolls, since piano rolls have long been considered an inefficient way to store music data due to the sparse nature.
        
        
        Installation
        ------------
        
        To install Pypianoroll, please run `pip install pypianoroll`. To build Pypianoroll from source, please download the [source](https://github.com/salu133445/pypianoroll/releases) and run `python setup.py install`.
        
        
        Documentation
        -------------
        
        Documentation is available [here](https://salu133445.github.io/pypianoroll) and as docstrings with the code.
        
        
        Citing
        ------
        
        Please cite the following paper if you use Pypianoroll in a published work:
        
        Hao-Wen Dong, Wen-Yi Hsiao, and Yi-Hsuan Yang, "Pypianoroll: Open Source Python Package for Handling Multitrack Pianorolls," in _Late-Breaking Demos of the 19th International Society for Music Information Retrieval Conference (ISMIR)_, 2018.
        
        [[homepage](https://salu133445.github.io/pypianoroll/)]
        [[paper](https://salu133445.github.io/pypianoroll/pdf/pypianoroll-ismir2018-lbd-paper.pdf)]
        [[poster](https://salu133445.github.io/pypianoroll/pdf/pypianoroll-ismir2018-lbd-poster.pdf)]
        [[code](https://github.com/salu133445/pypianoroll)]
        [[documentation](https://salu133445.github.io/pypianoroll/)]
        
        
        Lakh Pianoroll Dataset
        ----------------------
        
        [Lakh Pianoroll Dataset](https://salu133445.github.io/musegan/dataset) (LPD) is a new multitrack piano roll dataset using Pypianoroll for efficient data I/O and to save space, which is used as the training dataset in our [MuseGAN](https://salu133445.github.io/musegan) project.
        
Keywords: music,audio,music-information-retrieval
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Multimedia :: Sound/Audio
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: test
