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.
1.5 KiB
1.5 KiB
ocrd_calamari
Recognize text using Calamari OCR.
Introduction
This offers a OCR-D compliant workspace processor for some of the functionality of Calamari OCR.
This processor only operates on the text line level and so needs a line segmentation (and by extension a binarized image) as its input.
Installation
From PyPI
pip install ocrd_calamari
From Repo
pip install .
Install models
Download standard models:
wget https://github.com/Calamari-OCR/calamari_models/archive/master.zip
unzip master.zip
Download models trained on GT4HistOCR data:
wget https://file.spk-berlin.de:8443/calamari-models/GT4HistOCR/model.tar.xz
mkdir gt4hist-calamari
cd gt4hist-calamari
tar xf ../model.tar.xz
Example Usage
ocrd-calamari-recognize -p test-parameters.json -m mets.xml -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI
With test-parameters.json:
{
"checkpoint": "/path/to/some/trained/models/*.ckpt.json"
}
Development & Testing
For information regarding development and testing, please see README-DEV.md.