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OCR Service"],"sub_categories":["1.1. \u003ca name='OCRengines'\u003e\u003c/a\u003eOCR engines","CTPN [paper:2016](https://arxiv.org/pdf/1609.03605.pdf)","OCR engines","1.5 Comparison of Datasets"],"readme":"\n![logo](resources/logo/calamari_200.png)\n\n[![Python Test](https://github.com/Calamari-OCR/calamari/actions/workflows/python-test.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/python-test.yml)\n[![codecov](https://codecov.io/github/bertsky/calamari/graph/badge.svg?token=JKGPINQTKO)](https://codecov.io/github/bertsky/calamari)\n[![Lint](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml)\n[![Upload Python Package](https://github.com/Calamari-OCR/calamari/actions/workflows/python-publish.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/python-publish.yml)\n[![image](https://img.shields.io/pypi/v/calamari_ocr.svg)](https://pypi.org/project/calamari_ocr/)\n\n\nOCR Engine based on OCRopy and Kraken using Python 3.\n\nIt 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.\n\n![preview](resources/preview.png)\n\n## Documentation\n\nThe documentation of Calamari is hosted [here](https://calamari-ocr.readthedocs.io).\n\n##  Pretrained model repository\n\nPretrained models are available at [calamari_models](https://github.com/Calamari-OCR/calamari_models)\nand [calamari_models_experimental](https://github.com/Calamari-OCR/calamari_models_experimental).\n\nCurrent releases (with individual model tarballs) can be accessed\n[here](https://github.com/Calamari-OCR/calamari_models/releases/tag/2.1) and\n[here](https://github.com/Calamari-OCR/calamari_models_experimental/releases/tag/v0.0.3).\n\n## Installing\n\nCalamari is available on [pypi](https://pypi.org/project/calamari-ocr):\n\n```shell\npip install calamari-ocr\n```\n\nRead the [docs](https://calamari-ocr.readthedocs.io) for further instructions.\n\n## Command-Line Interface\n\nSee the [docs](https://calamari-ocr.readthedocs.io) to learn how to use Calamari from the command line.\n\n## Calamari API\n\nSee the [docs](https://calamari-ocr.readthedocs.io) to learn how to adapt Calamari for your needs.\n\n## Citing Calamari\n\nIf you use Calamari in your Research-Project, please cite:\n\n\u003e 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)\n\n```\n@article{wick_calamari_2020,\n    title = {Calamari - {A} {High}-{Performance} {Tensorflow}-based {Deep} {Learning} {Package} for {Optical} {Character} {Recognition}},\n    volume = {14},\n    number = {1},\n    journal = {Digital Humanities Quarterly},\n    author = {Wick, Christoph and Reul, Christian and Puppe, Frank},\n    year = {2020},\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCalamari-OCR%2Fcalamari","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FCalamari-OCR%2Fcalamari","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FCalamari-OCR%2Fcalamari/lists"}