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Mike Gerber 4b566830a9
📝 README.md: Rephrase/correct OCR-D usage info
See #32: "respects" is probably an ambiguous or even incorrect term. Also rephrase "it's a good idea" to "it's OK to do".
2020-05-29 17:08:29 +02:00
qurator ocrd-tool.json: Make description OCR-D compliant 2020-05-07 00:16:55 -03:00
.gitignore Revert "Merge branch 'master' of https://github.com/qurator-spk/sbb_textline_detector" 2019-12-09 15:11:25 +01:00
.gitkeep Update config_params.json 2019-12-05 14:05:55 +01:00
Dockerfile Update config_params.json 2019-12-05 14:05:55 +01:00
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 Update config_params.json 2019-12-05 14:05:55 +01:00
README.md 📝 README.md: Rephrase/correct OCR-D usage info 2020-05-29 17:08:29 +02:00
requirements.txt use TensorFlow 1.15.2 or later, but not 2.x 2020-02-20 16:49:54 +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

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://qurator-data.de/sbb_textline_detector/

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 retains AlternativeImages from binarization steps, so it's OK 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.