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> Binarization for document images > Binarization for document images
## Introduction ## Introduction
This tool performs document image binarization for OCR using a trained model. This tool performs document image binarization (i.e. transform colour/grayscale to black-and-white pixels) for OCR using multiple trained models.
## Installation ## Installation
Clone the repository, enter it and run
`./make` `./make`
### Models ### Models
Pretrained models can be downloaded from here: Pre-trained models can be downloaded from here:
https://qurator-data.de/sbb_binarization/ https://qurator-data.de/sbb_binarization/
## Usage ## Usage
`sbb_binarize -m <directory of models> -i <image> `sbb_binarize -m <directory with models> -i <image file>
-p <set to true in order to let the model see image in patches> -p <set to true to let the model see the image divided into patches>
-s <provide a directory with a given ouput name and format. The result will be saved here.>` -s <directory where the results will be saved>`

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