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@ -18,7 +18,7 @@ Clone the repository, enter it and run
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### Models
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Pre-trained models in `h5` format can be downloaded from here:
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Pre-trained models in `HDF5` format can be downloaded from here:
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https://qurator-data.de/sbb_binarization/
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@ -30,20 +30,17 @@ https://huggingface.co/SBB/sbb_binarization
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```sh
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sbb_binarize \
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--patches \
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-m <path to directory containing model files> \
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-m <path to directory containing model files \
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<input image> \
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<output image>
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```
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In virtually all cases, applying the `--patches` flag will improve the quality of results.
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Images containing a lot of border noise (black pixels) should be cropped beforehand to improve the quality of results.
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### Example
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```sh
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sbb_binarize --patches -m /path/to/models/ myimage.tif myimage-bin.tif
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sbb_binarize -m /path/to/model/ myimage.tif myimage-bin.tif
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```
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To use the [OCR-D](https://ocr-d.de/) interface:
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