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# sbb_binarization
> Document Image Binarization using pre-trained models
> Document Image Binarization
[![pip release](https://img.shields.io/pypi/v/sbb-binarization.svg)](https://pypi.org/project/sbb-binarization/)
[![CircleCI test](https://circleci.com/gh/qurator-spk/sbb_binarization.svg?style=shield)](https://circleci.com/gh/qurator-spk/sbb_binarization)
[![GHActions Tests](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml/badge.svg)](https://github.com/qurator-spk/sbb_binarization/actions/workflows/test.yml)
## 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">
## Installation
Python versions `3.7-3.10` are currently supported.
Python `3.8-3.11` with Tensorflow `<=2.11.1` are currently supported. While newer versions might also work, we currently don't test this.
You can either install via
You can either install from PyPI via
```
pip install sbb-binarization
@ -29,16 +26,16 @@ cd sbb_binarization; pip install -e .
### Models
Pre-trained models can be downloaded from the locations below. We also provide the models and [model card](https://huggingface.co/SBB/sbb_binarization) on 🤗
Pre-trained models can be downloaded from the locations below. We also provide models and [model cards](https://huggingface.co/SBB/sbb_binarization) on 🤗
| Version | Format | Download |
|----------|:-------------:|-------|
| Version | Format | Download |
|------------|:-------------:|------------------------------------------------------------------------------------------------------|
| 2021-03-09 | `SavedModel` | https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2021_03_09.zip |
| 2021-03-09 | `HDF5` | https://qurator-data.de/sbb_binarization/2021-03-09/models.tar.gz |
| 2020-01-16 | `SavedModel` | https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2020_01_16.zip |
| 2020-01-16 | `HDF5` | https://qurator-data.de/sbb_binarization/2020-01-16/models.tar.gz |
| 2021-03-09 | `HDF5` | https://qurator-data.de/sbb_binarization/2021-03-09/models.tar.gz |
| 2020-01-16 | `SavedModel` | https://github.com/qurator-spk/sbb_binarization/releases/download/v0.0.11/saved_model_2020_01_16.zip |
| 2020-01-16 | `HDF5` | https://qurator-data.de/sbb_binarization/2020-01-16/models.tar.gz |
With [OCR-D](https://ocr-d.de/), you can use the [Resource Manager](https://ocr-d.de/en/models) to deploy models, e.g.
With [OCR-D](https://ocr-d.de/), you can also use the [Resource Manager](https://ocr-d.de/en/models), e.g.
ocrd resmgr download ocrd-sbb-binarize "*"

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