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npm Adopts OIDC for Trusted Publishing in CI/CD Workflows
npm now supports Trusted Publishing with OIDC, enabling secure package publishing directly from CI/CD workflows without relying on long-lived tokens.
OCR Engine based on OCRopy and Kraken using Python 3.
It is designed to both be easy to use from the command line but also be modular to be integrated and customized from other python scripts.
The documentation of Calamari is hosted here.
Pretrained models are available at calamari_models and calamari_models_experimental.
Current releases (with individual model tarballs) can be accessed here and here.
Calamari is available on pypi:
pip install calamari-ocr
Read the docs for further instructions.
See the docs to learn how to use Calamari from the command line.
See the docs to learn how to adapt Calamari for your needs.
If you use Calamari in your Research-Project, please cite:
Wick, C., Reul, C., Puppe, F.: Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition. Digital Humanities Quarterly 14(1) (2020)
@article{wick_calamari_2020,
title = {Calamari - {A} {High}-{Performance} {Tensorflow}-based {Deep} {Learning} {Package} for {Optical} {Character} {Recognition}},
volume = {14},
number = {1},
journal = {Digital Humanities Quarterly},
author = {Wick, Christoph and Reul, Christian and Puppe, Frank},
year = {2020},
}
FAQs
Line based ATR Engine based on OCRopy
We found that calamari-ocr demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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