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Mike Gerber 6e0decb5ec
Merge pull request #12 from kba/rename-tool
Rename ocrd_sbb.. to ocrd-sbb... in ocrd_cli.py, ht @bertsky
2019-12-09 16:50:27 +01:00
qurator Merge pull request #12 from kba/rename-tool 2019-12-09 16:50:27 +01:00
.gitignore Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00
.gitkeep 🧹 sbb_textline_docker: Rename to sbb_textline_detector 2019-10-10 16:13:07 +02:00
Dockerfile 🧹 sbb_textline_detector: Use same structure as the other projects 2019-10-10 16:24:28 +02:00
LICENSE Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00
ocrd-tool.json sbb_textline_detector: Add a OCR-D interface 2019-10-10 17:54:42 +02:00
README.md Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00
requirements.txt Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00
setup.py Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00

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.