The first release candidate of jpylyzer 2.2 is now available for community testing. This is an ‘action-packed’ release, which even includes the addition of two new supported file formats!
Jpylyzer is an open source validator and feature extractor for JP2 images, and part of the OPF reference toolset.
This release contains some major new features including:
- Support for High Throughput JPEG 2000 (HTJ2K) and its associated JPH file format.
- Reporting and validation of rsiz property
- Additional codestream markers
- Reporting of warnings to output file
It also introduces some API improvements. All output and extraction options can now be set directly as Python API parameters, which will be helpful for those who want to integrate Jpylyzer into their own Python projects.
There have also been many more changes and additions to this release. Take a look at the release notes for further details. The download is available on the right of this page.
We will continue internal testing of the release candidate and there may be a few small changes before the public production release.
Our thanks go to all contributors for their ongoing input and feedback.
Jpylyzer is an open source validator and feature extractor for JP2 images licensed under the GNU Lesser General Public License. JP2 is the still image format that is defined by Part 1 of the JPEG 2000 image compression standard (ISO/IEC 15444-1).
The software is maintained by Johan van der Knijff at the Koninklijke Bibliotheek, and the Open Preservation Foundation provides hosting and support through software quality testing and delivery, and open source best practice.
jpylyzer is open source, free to download, to use and to modify. However, it is not free to host, maintain, support or develop. If you use jpylyzer, please consider supporting its development by becoming an OPF member or making a donation towards development.
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