Tools for the MUSCIMA++ dataset of music notation.
Project description
# MUSCIMA
The ``muscima`` (**Mu**sic **Sc**ore **Ima**ges) package implements a data model for the [MUSCIMA++](https://ufal.mff.cuni.cz/muscima)
dataset of music notation.
[](https://travis-ci.org/hajicj/muscima)
[](https://badge.fury.io/py/muscima)
[](https://muscima.readthedocs.io/en/latest/index.html)
[](LICENSE.txt)
[](https://coveralls.io/github/hajicj/muscima?branch=master)
[](https://codecov.io/gh/hajicj/muscima)
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](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372).
3. Run through the [tutorial](https://muscima.readthedocs.io/en/latest/Tutorial.html#tutorial).
## Dataset
The dataset itself is available for download
[here](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372) and due to its derived nature, licensed differently:
[](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372)
[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
Changelog
=========
(Note that there will be many small releases, as we attempt to always keep
the package up-to-date through pip.)
0.3.2
-----
* Added MANIFEST.in for easier distribution.
0.3.1
-----
* Fixing setup.py bugs with README.md and CHANGES.md 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
``CropObject.set_dataset()``
* Updated README to describe the tests situation.
0.3.0
-----
First public release.
The ``muscima`` (**Mu**sic **Sc**ore **Ima**ges) package implements a data model for the [MUSCIMA++](https://ufal.mff.cuni.cz/muscima)
dataset of music notation.
[](https://travis-ci.org/hajicj/muscima)
[](https://badge.fury.io/py/muscima)
[](https://muscima.readthedocs.io/en/latest/index.html)
[](LICENSE.txt)
[](https://coveralls.io/github/hajicj/muscima?branch=master)
[](https://codecov.io/gh/hajicj/muscima)
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](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372).
3. Run through the [tutorial](https://muscima.readthedocs.io/en/latest/Tutorial.html#tutorial).
## Dataset
The dataset itself is available for download
[here](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372) and due to its derived nature, licensed differently:
[](https://lindat.mff.cuni.cz/repository/xmlui/handle/11372/LRT-2372)
[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
Changelog
=========
(Note that there will be many small releases, as we attempt to always keep
the package up-to-date through pip.)
0.3.2
-----
* Added MANIFEST.in for easier distribution.
0.3.1
-----
* Fixing setup.py bugs with README.md and CHANGES.md 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
``CropObject.set_dataset()``
* Updated README to describe the tests situation.
0.3.0
-----
First public release.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
muscima-0.10.0.tar.gz
(105.7 kB
view details)
File details
Details for the file muscima-0.10.0.tar.gz.
File metadata
- Download URL: muscima-0.10.0.tar.gz
- Upload date:
- Size: 105.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
848995f92595c7cfa8624db6fd45e828adfbf2ae86c8cd3b4f4e7e4aedc26b70
|
|
| MD5 |
4b19122600333dd73fb52c15180046c0
|
|
| BLAKE2b-256 |
25ead396be13bb1cd46802318e11ea14fa99fb9c6b8a37b21264cb627d631ab4
|