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.
|
|
|
|
# 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
|
|
|
|
|
`./make`
|
|
|
|
|
|
|
|
|
|
### 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>`
|
