From 38698c66097e7f3793eb4143a0519d4b36aa053f Mon Sep 17 00:00:00 2001 From: cneud <952378+cneud@users.noreply.github.com> Date: Wed, 31 Jul 2024 21:16:02 +0200 Subject: [PATCH] Update README.md --- README.md | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index f7a0a77..b47eae3 100644 --- a/README.md +++ b/README.md @@ -18,8 +18,7 @@ * 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interface -:warning: Eynollah development is currently focused on achieving high quality results for a wide variety of historical documents.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Eynollah development is currently focused on achieving the best possible quality of results for a wide variety of historical documents and therefore processing can be very slow.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 ` | save cropped page image to this directory | | `-sa ` | 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. #### Use as OCR-D processor 🚧 **Work in progress**