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integrate ocrd docs

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README.md
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@ -157,7 +157,7 @@ eynollah ocr \
### Reading Order Detection ### Reading Order Detection
The machine-based reading-order module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files. The reading order detection module employs a pretrained model to identify the reading order from layouts represented in PAGE-XML files.
The command-line interface for machine based reading order can be called like this: The command-line interface for machine based reading order can be called like this:
@ -169,17 +169,10 @@ eynollah machine-based-reading-order \
-o <output directory> -o <output directory>
``` ```
#### Use as OCR-D processor
Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli),
formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json).
Further documentation on using Eynollah with OCR-D can be found in [`ocrd.md`](https://github.com/qurator-spk/eynollah/tree/main/docs/ocrd.md).
## How to cite ## How to cite
```bibtex ```bibtex
@inproceedings{hip23eynollah, @inproceedings{hip23rezanezhad,
title = {Document Layout Analysis with Deep Learning and Heuristics}, title = {Document Layout Analysis with Deep Learning and Heuristics},
author = {Rezanezhad, Vahid and Baierer, Konstantin and Gerber, Mike and Labusch, Kai and Neudecker, Clemens}, author = {Rezanezhad, Vahid and Baierer, Konstantin and Gerber, Mike and Labusch, Kai and Neudecker, Clemens},
booktitle = {Proceedings of the 7th International Workshop on Historical Document Imaging and Processing {HIP} 2023, booktitle = {Proceedings of the 7th International Workshop on Historical Document Imaging and Processing {HIP} 2023,

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docs/ocrd.md
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## Use as OCR-D processor
Eynollah ships with a CLI interface to be used as [OCR-D](https://ocr-d.de) [processor](https://ocr-d.de/en/spec/cli),
formally described in [`ocrd-tool.json`](https://github.com/qurator-spk/eynollah/tree/main/src/eynollah/ocrd-tool.json).
When using Eynollah in OCR-D, the source image file group with (preferably) RGB images should be used as input like this: When using Eynollah in OCR-D, the source image file group with (preferably) RGB images should be used as input like this:
ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models eynollah_layout_v0_5_0 ocrd-eynollah-segment -I OCR-D-IMG -O OCR-D-SEG -P models eynollah_layout_v0_5_0