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.
sbb_binarization/README.md

609 B

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>`