mirror of
https://github.com/qurator-spk/sbb_textline_detection.git
synced 2025-07-03 23:49:59 +02:00
29 lines
1.1 KiB
Markdown
29 lines
1.1 KiB
Markdown
# Textline Detection
|
|
> Detect textlines in document images
|
|
|
|
## Introduction
|
|
This tool performs printspace, region and textline detection from document image
|
|
data and returns the results as [PAGE-XML](https://github.com/PRImA-Research-Lab/PAGE-XML).
|
|
|
|
## Installation
|
|
`pip install .`
|
|
|
|
## Models
|
|
In order to run this tool you also need trained models. You can download our pretrained models from here:
|
|
~~https://file.spk-berlin.de:8443/textline_detection/~~
|
|
|
|
## Usage
|
|
`sbb_textline_detector -i <image file name> -o <directory to write output xml> -m <directory of models>`
|
|
|
|
## Usage with OCR-D
|
|
~~~
|
|
ocrd-example-binarize -I OCR-D-IMG -O OCR-D-IMG-BIN
|
|
ocrd-sbb-textline-detector -I OCR-D-IMG-BIN -O OCR-D-SEG-LINE-SBB \
|
|
-p '{ "model": "/path/to/the/models/textline_detection" }'
|
|
~~~
|
|
|
|
Segmentation works on raw RGB images, but respects and retains
|
|
`AlternativeImage`s from binarization steps, so it's a good idea to do
|
|
binarization first, then perform the textline detection. The used binarization
|
|
processor must produce an `AlternativeImage` for the binarized image, not
|
|
replace the original raw RGB image.
|