If you use pero-ocr, please cite:
- O Kodym, M Hradiš: Page Layout Analysis System for Unconstrained Historic Documents. ICDAR, 2021.
- M Kišš, K Beneš, M Hradiš: AT-ST: Self-Training Adaptation Strategy for OCR in Domains with Limited Transcriptions. ICDAR, 2021.
- J Kohút, M Hradiš: TS-Net: OCR Trained to Switch Between Text Transcription Styles. ICDAR, 2021.
Scripts (as well as tests) assume that it is possible to import pero_ocr and its components.
For the current shell session, this can be achieved by setting PYTHONPATH up:
export PYTHONPATH=/path/to/the/repo:$PYTHONPATH
As a more permanent solution, a very simplistic setup.py is prepared:
python setup.py develop
Beware that the setup.py does not promise to bring all the required stuff, e.g. setting CUDA up is up to you.
Pero can be later removed from your Python distribution by running:
python setup.py develop --uninstall
General layout analysis (printed and handwritten) with european printed OCR specialized to czech newspapers can be downloaded here.
Working changes are expected to happen on develop branch, so if you plan to contribute, you better check it out right during cloning:
git clone -b develop git@github.com:DCGM/pero-ocr.git pero-ocr
Currently, only unittests are provided with the code. Some of the code. So simply run your preferred test runner, e.g.:
~/pero-ocr $ green