You cannot select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
fabb63834a | 4 years ago | |
---|---|---|
repo | 4 years ago | |
sbb_binarize | 4 years ago | |
.gitignore | 4 years ago | |
.gitkeep | 5 years ago | |
.gitmodules | 4 years ago | |
LICENSE | 5 years ago | |
Makefile | 4 years ago | |
README.md | 4 years ago | |
make.sh | 5 years ago | |
ocrd-tool.json | 4 years ago | |
requirements.txt | 4 years ago | |
setup.py | 4 years ago |
README.md
Binarization
Binarization for document images
Introduction
This tool performs document image binarization (i.e. transform colour/grayscale to black-and-white pixels) for OCR using multiple trained models.
Installation
Clone the repository, enter it and run
pip install .
Models
Pre-trained models can be downloaded from here:
https://qurator-data.de/sbb_binarization/
Usage
sbb_binarize \
-m <directory with models> \
-i <image file> \
-p <set to true to let the model see the image divided into patches> \
-s <directory where the results will be saved>`