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