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 5e8cd47798 🧹 Clean up after first apt-get run		5 years ago
data@dcd3643917	⬆ Update calamari-models URL + path	5 years ago
ocrd-bugs	🐛 ocrd-bugs: Most/All workspaces in bag files don't validate	5 years ago
xsd	Use PAGE 2019	5 years ago
.gitmodules	✨ Run Calamari OCR	5 years ago
.travis.yml	✅ Travis: Cache Docker builds from previous image	5 years ago
Dockerfile	🧹 Clean up after first apt-get run	5 years ago
README.md	📝 README: test environment	5 years ago
build	✅ Travis: Cache Docker builds from previous image	5 years ago
my_ocrd_workflow	✨ Include glyph output	5 years ago
ocrd_logging.py	🔧 Set up logging level using /etc/ocrd_logging.py instead of "-l"	5 years ago
qurator_data_lib.sh	⬆ Update qurator_data_lib.sh to use a silent curl instead of wget	5 years ago
requirements.txt	⬆ Update ocrd_tesserocr to fix glyph bug (OCR-D/ocrd_tesserocr#112 )	5 years ago
run	🎨 Improve structure and documentation of run	5 years ago

README.md

My OCR-D 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 and possibly the Dockerfile and the requirements.

Goal

Provide a test environment to produce OCR output for historical prints, using OCR-D, especially ocrd_calamari and 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:

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, if ground truth was available:

firefox OCR-D-OCR-CALAMARI-EVAL/OCR-D-OCR-CALAMARI-EVAL_00000024.html