You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
 
 
Go to file
Gerber, Mike 5fb30a7a1f Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector"
This reverts commit 417b9235d5, reversing
changes made to a74974b7b6.
4 years ago
qurator Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago
.gitignore Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago
.gitkeep Update config_params.json 4 years ago
Dockerfile Update config_params.json 4 years ago
LICENSE Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago
README.md Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago
ocrd-tool.json Update config_params.json 4 years ago
requirements.txt Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago
setup.py Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 4 years ago

README.md

Textline Detection

Introduction

This tool performs 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 pre-trained 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 AlternativeImages 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.