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https://github.com/audiveris/audiveris
Latest generation of Audiveris OMR engine
https://github.com/audiveris/audiveris
java open-source optical-music-recognition
Last synced: 2 days ago
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Latest generation of Audiveris OMR engine
- Host: GitHub
- URL: https://github.com/audiveris/audiveris
- Owner: Audiveris
- License: agpl-3.0
- Created: 2016-09-07T13:31:03.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-11-13T11:35:53.000Z (about 2 months ago)
- Last Synced: 2024-11-20T22:03:22.199Z (about 1 month ago)
- Topics: java, open-source, optical-music-recognition
- Language: Java
- Homepage: https://audiveris.github.io/audiveris
- Size: 315 MB
- Stars: 1,622
- Watchers: 68
- Forks: 236
- Open Issues: 147
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
![](https://github.com/Audiveris/docs/blob/master/images/SplashLogo.png)
Logo by [Katka](https://www.facebook.com/katkastreetart/)# Audiveris - Open-source Optical Music Recognition
The goal of an OMR application is to allow the end-user to transcribe a score image into
its symbolic counterpart.
This opens the door to its further use by many kinds of digital processing such as
playback, music edition, searching, republishing, etc.The Audiveris application is built around the tight integration of two main components:
an OMR engine and an OMR editor.
- The OMR engine combines many techniques, depending on the type of entities to be recognized
-- *ad-hoc* methods for lines, image morphological closing for beams, external OCR for texts,
template matching for heads, neural network for all other fixed-size shapes.
Significant progresses have been made, especially regarding poor-quality scores,
but experience tells us that a 100% recognition ratio is simply out of reach in many cases.
- The OMR editor thus comes into play to overcome engine weaknesses in convenient ways.
The user can preselect processing switches to adapt the OMR engine before launching the
transcription of the current score.
Then the remaining mistakes can generally be quickly fixed
via the manual editing of a few music symbols.## Key characteristics
* Good recognition efficiency on real-world quality scores (as those seen on [IMSLP][imslp] site)
* Effective support for large scores (with up to hundreds of pages)
* Convenient user-oriented interface to detect and correct most OMR errors
* Available on Windows, Linux and MacOS
* Open sourceThe core of engine music information (OMR data) is fully documented and made publicly available,
either directly via XML-based `.omr` project files or via the Java API of this software.
Audiveris comes with an integrated exporter to write (a subset of) this OMR data into
[MusicXML][musicxml] 4.0 format.
In the future, other exporters are expected to build upon OMR data to support other target formats.## Stable releases
On a rather regular basis, typically every 6 to 12 months, a new release is made available
on the dedicated [Audiveris Releases][releases] page.The goal of a release is to provide significant improvements, well tested and integrated,
resulting in a software as easy as possible to install and use:
- for **Windows**, an installer is provided on [Github][releases];
The installer comes with pre-installed Tesseract OCR languages ``deu``, ``eng``, ``fra`` and ``ita``.
But **it requires Java version 17** or higher to be available in your environment.
If no suitable Java version is found at runtime, a prompt will ask you install it.
- for **Linux**, a flatpak package is provided on
[Flathub](https://flathub.org/apps/org.audiveris.audiveris);
The package comes with pre-installed Tesseract OCR languages ``deu``, ``eng``, ``fra`` and ``ita``.
The needed Java environment is included in its packaging, therefore no Java installation is needed.
- for **MacOS**, unfortunately, we have nothing similar yet [^macos]
-- for now, you have to build from sources as described in the following section on
[Development versions](#development-versions).See details in the related [handbook section][installation].
## Development versions
The Audiveris project is developed on GitHub, the site you are reading.
Any one can download, build and run this software.
The needed tools are ``git``, ``gradle`` and a Java Development Kit (``jdk``),
as described in this [handbook section][sources].There are two main branches in Audiveris project:
- the ``master`` branch is GitHub default branch;
we use it for releases, and only for them;
To build from this branch, you will need a ``jdk`` for Java version **17** or higher.
- the ``development`` branch is the one where all developments continuously take place;
Periodically, when a release is to be made, we merge the development branch into the master branch;
As of this writing, the source code on development branch requires a ``jdk`` for Java version **21**.See details in the [Wiki article][workflow] dedicated to the chosen development workflow.
## Further Information
Users and Developers are advised to read Audiveris [User Handbook][handbook],
and the more general [Wiki][audiveris-wiki] set of articles.[^macos]: If you wish to give a hand, you are more than welcome!
[audiveris-wiki]: https://github.com/Audiveris/audiveris/wiki
[handbook]: https://audiveris.github.io/audiveris/
[imslp]: https://imslp.org/
[installation]: https://audiveris.github.io/audiveris/_pages/install/README/
[musicxml]: http://www.musicxml.com/
[releases]: https://github.com/Audiveris/audiveris/releases
[sources]: https://audiveris.github.io/audiveris/_pages/install/sources/
[workflow]: https://github.com/Audiveris/audiveris/wiki/Git-Workflow