qurator-spk/sbb_textline_detection
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Gerber, Mike 4aed06a325 ✨ sbb_textline_detection: Preserve input PAGE info by merging segmentation results 
ocrd_sbb_textline_detection used the output XML by main.py as is, and
– by doing this – threw away any input data from the input PAGE,
including the critical pc:AlternativeImage and the less important
pc:MetadataItem.

Fix this by merging the segmentation results into a file created from
the input file.

Also add a pc:MetadataItem processingStep about the segmentation
operation.
2019-11-19 15:08:53 +01:00
qurator ✨ sbb_textline_detection: Preserve input PAGE info by merging segmentation results 2019-11-19 15:08:53 +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
ocrd-tool.json ✨ sbb_textline_detector: Add a OCR-D interface 2019-10-10 17:54:42 +02:00
README.md 🧹 sbb_textline_docker: Rename to sbb_textline_detector 2019-10-10 16:13:07 +02:00
requirements.txt ✨ sbb_textline_detection: Preserve input PAGE info by merging segmentation results 2019-11-19 15:08:53 +01:00
setup.py 🐛 sbb_textline_detector: Install *.json 2019-10-11 16:18:10 +02:00

README.md

Textline-Recognition

Installation:

Setup virtual environment:

virtualenv --python=python3.6 venv

Activate virtual environment:

source venv/bin/activate

Upgrade pip:

pip install -U pip

Install package together with its dependencies in development mode:

pip install -e ./

Perform document structure and textline analysis on a scanned document image and save the result as PAGE XML.

Usage

text_line_recognition --help