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Gerber, Mike
caa73c2b44
With the recent release of TensorFlow 2.0, we need to make sure we install a version compatible with the current Calamari release, e.g. TF < 2.0. Also, depend on a Calamari version that is known to be working, that is Calamari >= 0.3.5. Fixes #6. |
5 years ago | |
|---|---|---|
| ocrd_calamari | 5 years ago | |
| .gitignore | 6 years ago | |
| LICENSE | 6 years ago | |
| Makefile | 6 years ago | |
| README.md | 5 years ago | |
| ocrd-tool.json | 6 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.
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.