%global _empty_manifest_terminate_build 0 Name: python-calamari-ocr Version: 2.2.2 Release: 1 Summary: please add a summary manually as the author left a blank one License: Apache License 2.0 URL: https://github.com/Calamari-OCR/calamari Source0: https://mirrors.nju.edu.cn/pypi/web/packages/29/96/71b03c7c955b0fd718154303c8c6f4b8cba5f4413e3fa3efddedbf765898/calamari_ocr-2.2.2.tar.gz BuildArch: noarch Requires: python3-edit-distance Requires: python3-h5py Requires: python3-lxml Requires: python3-bidi Requires: python3-tensorflow Requires: python3-tfaip Requires: python3-xlsxwriter %description ![logo](resources/logo/calamari_200.png) [![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) [![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) [![Lint](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml) OCR Engine based on OCRopy and Kraken using python3. 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. ![preview](resources/preview.png) ## Documentation The documentation of Calamari is hosted [here](https://calamari-ocr.readthedocs.io). ## Pretrained model repository Pretrained models are available at (https://github.com/Calamari-OCR/calamari_models). The current release can be accessed [here](https://github.com/Calamari-OCR/calamari_models/archive/2.0.zip) (255 MB). ## Installing Calamari is available on [pypi](https://pypi.org/project/calamari-ocr): ```shell pip install calamari-ocr ``` Read the [docs](https://calamari-ocr.readthedocs.io) for further instructions. ## Command-Line Interface See the [docs](https://calamari-ocr.readthedocs.io) to learn how to use Calamari from the command line. ## Calamari API See the [docs](https://calamari-ocr.readthedocs.io) to learn how to adapt Calamari for your needs. ## Citing Calamari 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}, } ``` %package -n python3-calamari-ocr Summary: please add a summary manually as the author left a blank one Provides: python-calamari-ocr BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-calamari-ocr ![logo](resources/logo/calamari_200.png) [![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) [![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) [![Lint](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml) OCR Engine based on OCRopy and Kraken using python3. 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. ![preview](resources/preview.png) ## Documentation The documentation of Calamari is hosted [here](https://calamari-ocr.readthedocs.io). ## Pretrained model repository Pretrained models are available at (https://github.com/Calamari-OCR/calamari_models). The current release can be accessed [here](https://github.com/Calamari-OCR/calamari_models/archive/2.0.zip) (255 MB). ## Installing Calamari is available on [pypi](https://pypi.org/project/calamari-ocr): ```shell pip install calamari-ocr ``` Read the [docs](https://calamari-ocr.readthedocs.io) for further instructions. ## Command-Line Interface See the [docs](https://calamari-ocr.readthedocs.io) to learn how to use Calamari from the command line. ## Calamari API See the [docs](https://calamari-ocr.readthedocs.io) to learn how to adapt Calamari for your needs. ## Citing Calamari 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}, } ``` %package help Summary: Development documents and examples for calamari-ocr Provides: python3-calamari-ocr-doc %description help ![logo](resources/logo/calamari_200.png) [![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) [![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) [![Lint](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml/badge.svg)](https://github.com/Calamari-OCR/calamari/actions/workflows/black.yml) OCR Engine based on OCRopy and Kraken using python3. 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. ![preview](resources/preview.png) ## Documentation The documentation of Calamari is hosted [here](https://calamari-ocr.readthedocs.io). ## Pretrained model repository Pretrained models are available at (https://github.com/Calamari-OCR/calamari_models). The current release can be accessed [here](https://github.com/Calamari-OCR/calamari_models/archive/2.0.zip) (255 MB). ## Installing Calamari is available on [pypi](https://pypi.org/project/calamari-ocr): ```shell pip install calamari-ocr ``` Read the [docs](https://calamari-ocr.readthedocs.io) for further instructions. ## Command-Line Interface See the [docs](https://calamari-ocr.readthedocs.io) to learn how to use Calamari from the command line. ## Calamari API See the [docs](https://calamari-ocr.readthedocs.io) to learn how to adapt Calamari for your needs. ## Citing Calamari 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}, } ``` %prep %autosetup -n calamari-ocr-2.2.2 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-calamari-ocr -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Mon May 15 2023 Python_Bot - 2.2.2-1 - Package Spec generated