My OCR-D workflow ================= [![Build Status](https://travis-ci.org/mikegerber/my_ocrd_workflow.svg?branch=master)](https://travis-ci.org/mikegerber/my_ocrd_workflow) WIP. Given a OCR-D workspace with document images in the OCR-D-IMG file group, this workflow produces: * Binarized images * Line segmentation * OCR text (using Calamari and Tesseract, both with GT4HistOCR models) * (Given ground truth in OCR-D-GT-PAGE, also an OCR text evaluation report) If you're interested in the exact processors, versions and parameters, please take a look at the [script](my_ocrd_workflow) and possibly the [Dockerfile](Dockerfile) and the [requirements](requirements.txt). Goal ---- Provide a **test environment** to produce OCR output for historical prints, using OCR-D, especially [ocrd_calamari](https://github.com/OCR-D/ocrd_calamari) and [sbb_textline_detection](https://github.com/qurator-spk/sbb_textline_detection), including all dependencies in Docker. How to use ---------- It's easiest to use it as a container. To build the container using Docker: ~~~ cd ~/devel/my_ocrd_workflow ./build ~~~ To run the container on an example workspace: ~~~ # Download an example workspace cd /tmp wget https://qurator-data.de/examples/actevedef_718448162.first-page.zip unzip actevedef_718448162.first-page.zip # Run the workflow on it cd actevedef_718448162.first-page ~/devel/my_ocrd_workflow/run ~~~ ### Viewing results You may then examine the results using [PRImA's PAGE Viewer](https://www.primaresearch.org/tools/PAGEViewer): ~~~ java -jar /path/to/JPageViewer.jar --resolve-dir . OCR-D-OCR-CALAMARI/OCR-D-OCR-CALAMARI_00000024.xml ~~~ The workflow also produces OCR evaluation reports using [dinglehopper](https://github.com/qurator-spk/dinglehopper), if ground truth was available: ~~~ firefox OCR-D-OCR-CALAMARI-EVAL/OCR-D-OCR-CALAMARI-EVAL_00000024.html ~~~