:warning: Eynollah development is currently focused on achieving high quality results for a wide variety of historical documents.
Processing can be very slow, with a lot of potential to improve. We aim to work on this too, but contributions are always welcome.
:warning: Eynollah development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow. We aim to improve this, but contributions are always welcome.
## Installation
Python `3.8-3.11` with Tensorflow `2.12-2.15` on Linux are currently supported.
@ -79,8 +78,8 @@ The following options can be used to further configure the processing:
| `-sp <directory>` | save cropped page image to this directory |
| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
If no option is set, the tool will perform layout detection of main regions (background, text, images, separators and marginals).
The tool produces better quality output when RGB images are used as input than greyscale or binarized images.
If no option is set, the tool performs layout detection of main regions (background, text, images, separators and marginals).
Best quality output is produced when RGB images are used as input rather than greyscale or binarized images.