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@ -18,7 +18,7 @@
* Output in [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML) * Output in [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML)
* [OCR-D](https://github.com/qurator-spk/eynollah#use-as-ocr-d-processor) interface * [OCR-D](https://github.com/qurator-spk/eynollah#use-as-ocr-d-processor) interface
: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Eynollah development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow.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. :warning: Development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow.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 welcome.
## Installation ## Installation
Python `3.8-3.11` with Tensorflow `2.12-2.15` on Linux are currently supported. Python `3.8-3.11` with Tensorflow `2.12-2.15` on Linux are currently supported.
@ -79,7 +79,7 @@ The following options can be used to further configure the processing:
| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory | | `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
If no option is set, the tool performs layout detection of main regions (background, text, images, separators and marginals). 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. The best output quality is produced when RGB images are used as input rather than greyscale or binarized images.
#### Use as OCR-D processor #### Use as OCR-D processor
🚧 **Work in progress** 🚧 **Work in progress**