mirror of
https://github.com/qurator-spk/eynollah.git
synced 2025-06-08 19:59:56 +02:00
Update README.md
This commit is contained in:
parent
419e589df7
commit
c7057bad5e
1 changed files with 8 additions and 9 deletions
17
README.md
17
README.md
|
@ -38,6 +38,11 @@ cd eynollah; pip install -e .
|
||||||
|
|
||||||
Alternatively, you can run `make install` or `make install-dev` for editable installation.
|
Alternatively, you can run `make install` or `make install-dev` for editable installation.
|
||||||
|
|
||||||
|
## Models
|
||||||
|
Pre-trained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/).
|
||||||
|
|
||||||
|
In case you want to train your own model to use with Eynollah, have a look at [sbb_pixelwise_segmentation](https://github.com/qurator-spk/sbb_pixelwise_segmentation).
|
||||||
|
|
||||||
## Usage
|
## Usage
|
||||||
The command-line interface can be called like this:
|
The command-line interface can be called like this:
|
||||||
|
|
||||||
|
@ -70,13 +75,7 @@ The following options can be used to further configure the processing:
|
||||||
| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
|
| `-sa <directory>` | save all (plot, enhanced/binary image, layout) to this directory |
|
||||||
|
|
||||||
If no option is set, the tool will perform layout detection of main regions (background, text, images, separators and marginals).
|
If no option is set, the tool will perform layout detection of main regions (background, text, images, separators and marginals).
|
||||||
|
The tool produces better quality output when RGB images are used as input than greyscale or binarized images.
|
||||||
The tool produces better output from RGB images as input than greyscale or binarized images.
|
|
||||||
|
|
||||||
## Models
|
|
||||||
Pre-trained models can be downloaded from [qurator-data.de](https://qurator-data.de/eynollah/).
|
|
||||||
|
|
||||||
In case you want to train your own model to use with Eynollah, have a look at [sbb_pixelwise_segmentation](https://github.com/qurator-spk/sbb_pixelwise_segmentation).
|
|
||||||
|
|
||||||
#### Use as OCR-D processor
|
#### Use as OCR-D processor
|
||||||
|
|
||||||
|
@ -88,10 +87,10 @@ In this case, the source image file group with (preferably) RGB images should be
|
||||||
ocrd-eynollah-segment -I OCR-D-IMG -O SEG-LINE -P models
|
ocrd-eynollah-segment -I OCR-D-IMG -O SEG-LINE -P models
|
||||||
```
|
```
|
||||||
|
|
||||||
Any image referenced by `@imageFilename` in PAGE-XML is passed on directly to Eynollah as a processor, so that e.g. calling
|
Any image referenced by `@imageFilename` in PAGE-XML is passed on directly to Eynollah as a processor, so that e.g.
|
||||||
|
|
||||||
```
|
```
|
||||||
ocrd-eynollah-segment -I OCR-D-IMG-BIN -O SEG-LINE -P models
|
ocrd-eynollah-segment -I OCR-D-IMG-BIN -O SEG-LINE -P models
|
||||||
```
|
```
|
||||||
|
|
||||||
still uses the original (RGB) image despite any binarization that may have occured in previous OCR-D processing steps
|
uses the original (RGB) image despite any binarization that may have occured in previous OCR-D processing steps
|
||||||
|
|
Loading…
Add table
Add a link
Reference in a new issue