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1.1 KiB
1.1 KiB
Textline Detection
Detect textlines in document images
Introduction
This tool performs printspace, region and textline detection from document image data and returns the results as PAGE-XML.
Installation
pip install .
Models
In order to run this tool you also need trained models. You can download our pretrained models from here:
https://file.spk-berlin.de:8443/textline_detection/
Usage
sbb_textline_detector -i <image file name> -o <directory to write output xml> -m <directory of models>
Usage with OCR-D
ocrd-example-binarize -I OCR-D-IMG -O OCR-D-IMG-BIN
ocrd-sbb-textline-detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
-p '{ "model": "/path/to/the/models/textline_detection" }'
Segmentation works on raw RGB images, but respects and retains
AlternativeImage
s from binarization steps, so it's a good idea to do
binarization first, then perform the textline detection. The used binarization
processor must produce an AlternativeImage
for the binarized image, not
replace the original raw RGB image.