A collection of tools that simplify the downloading and handling of datasets used for Optical Music Recognition (OMR).
Project description
Tools for working with Optical Music Recognition datasets
A collection of tools that simplify the downloading and handling of datasets used for Optical Music Recognition (OMR).
These tools are available as Python package omrdatasettools
on PyPi.
They simplify the most common tasks such as downloading and extracting a dataset,
generating images from textual representations or visualizing those datasets.
This package also contains tools for other common tasks such as:
- Converting images
- Moving images
- Splitting datasets
Changelog
0.18
Changing MUSCIMA++ Downloader to accept a string instead of integer for enabling future versioning of the dataset beyond integers, e.g., "2.1".
Previous releases
For information on previous releases, check out the Github Repository
Project details
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