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							|  | @ -2,16 +2,17 @@ | ||||||
| > 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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