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Tools for the MUSCIMA++ dataset of music notation.

Project description


The ``muscima`` (**Mu**sic **Sc**ore **Ima**ges) package implements a data model for the [MUSCIMA++](
dataset of music notation.

[![Build Status](](
[![PyPI version](](
[![Documentation Status](](
[![License: CC BY-NC-SA 4.0](](LICENSE.txt)
[![Coverage Status](](

This package should work with both Python 2.7 and Python 3.6,
although the doctest-based test suite only works on Python 3.

## Getting started

1. Install this package: ``pip install muscima``
2. Download the [MUSCIMA++ dataset](
3. Run through the [tutorial](

## Dataset
The dataset itself is available for download
[here]( and due to its derived nature, licensed differently:

[![License: CC BY-NC-SA 4.0](](


(Note that there will be many small releases, as we attempt to always keep
the package up-to-date through pip.)


* Added for easier distribution.


* Fixing bugs with and file paths for long description.
* ``CropObject.join()`` now warns before exiting when the other CropObject
is from a different document.
* ``CropObject`` global namespace can now be set as well, through
* Updated README to describe the tests situation.


First public release.

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