Metadata-Version: 2.1
Name: sbb-binarization
Version: 0.0.8
Summary: Pixelwise binarization with selectional auto-encoders in Keras
Home-page: https://github.com/qurator-spk/sbb_binarization
Author: Vahid Rezanezhad
License: Apache License 2.0
Description: # Binarization
        
        > Binarization for document images
        
        ## Examples
        
        <img src="https://user-images.githubusercontent.com/952378/63592437-e433e400-c5b1-11e9-9c2d-889c6e93d748.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592435-e433e400-c5b1-11e9-88e4-3e441b61fa67.jpg" width="180"><img src="https://user-images.githubusercontent.com/952378/63592440-e4cc7a80-c5b1-11e9-8964-2cd1b22c87be.jpg" width="220"><img src="https://user-images.githubusercontent.com/952378/63592438-e4cc7a80-c5b1-11e9-86dc-a9e9f8555422.jpg" width="220">
        
        ## 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)_.
        
        ## Installation
        
        Clone the repository, enter it and run
        
        `pip install .`
        
        ### Models
        
        Pre-trained models can be downloaded from here:   
        
        https://qurator-data.de/sbb_binarization/
        
        ## Usage
        
        ```sh
        sbb_binarize \
          --patches \
          -m <directory with models> \
          <input image> \
          <output image>
        ```
        
        **Note** In virtually all cases, the `--patches` flag will improve results.
        
        To use the OCR-D interface:
        ```sh
        ocrd-sbb-binarize --overwrite -I INPUT_FILE_GRP -O OCR-D-IMG-BIN -P model "/var/lib/sbb_binarization"
        ```
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
