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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
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pip install ocrd_calamari
From Repo
pip install .
To install the calamari with the GPU version of Tensorflow:
pip install 'calamari-ocr[tf_cpu]'
pip install .
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"
}
TODO
- Support Calamari's "extended prediction data" output
- Currently, the processor only supports a prediction using confidence voting of multiple models. While this is superior, it makes sense to support single model prediction, too.