qurator-spk/sbb_binarization
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improve usage instructions

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Clemens Neudecker 2022-04-25 19:24:04 +02:00 • committed by GitHub
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README.md
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@ -8,10 +8,7 @@
## Introduction
This tool performs document image binarization (i.e. transform colour/grayscale
to black-and-white pixels) for OCR using multiple trained models.
The method used is based on _Calvo-Zaragoza/Gallego, 2018. [A selectional auto-encoder approach for document image binarization](https://arxiv.org/abs/1706.10241)_.
This tool performs document image binarization using trained models. The method is based on [Calvo-Zaragoza and Gallego, 2018](https://arxiv.org/abs/1706.10241).
## Installation
@ -30,14 +27,20 @@ https://qurator-data.de/sbb_binarization/
```sh
sbb_binarize \
--patches \
-m <directory with models> \
-m <path to directory containing model files> \
<input image> \
<output image>
```
**Note** In virtually all cases, the `--patches` flag will improve results.
**Note** In virtually all cases, applying the `--patches` flag will improve the quality of results.
To use the OCR-D interface:
Example
```sh
sbb_binarize --patches -m /path/to/models/ myimage.tif myimage-bin.tif
```
To use the [OCR-D](https://ocr-d.de/) interface:
```sh
ocrd-sbb-binarize --overwrite -I INPUT_FILE_GRP -O OCR-D-IMG-BIN -P model "/var/lib/sbb_binarization"
```