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.
Gerber, Mike 507bc1ce5e | 5 years ago | |
---|---|---|
.circleci | 5 years ago | |
.idea | 5 years ago | |
ocrd_calamari | 5 years ago | |
test | 5 years ago | |
.coveragerc | 5 years ago | |
.gitignore | 5 years ago | |
Dockerfile | 5 years ago | |
LICENSE | 7 years ago | |
Makefile | 5 years ago | |
README-DEV.md | 5 years ago | |
README.md | 5 years ago | |
ocrd-tool.json | 7 years ago | |
requirements-test.txt | 5 years ago | |
requirements.txt | 5 years ago | |
setup.py | 5 years ago |
README.md
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 models trained on GT4HistOCR data:
make gt4histocr-calamari
ls gt4histocr-calamari
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.