qurator-spk
/
sbb_binarization
mirror of https://github.com/qurator-spk/sbb_binarization.git
1
0
Fork 0
Code Issues Releases Wiki Activity
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
19 Commits
3 Branches
11 Tags
517 KiB
Python 87.9%
Makefile 8.8%
Dockerfile 2.4%
Shell 0.9%
 
 
 
 
master
binarization_flow_from_directory
transformer_model_integration
v0.0.10
v0.0.11
v0.0.2
v0.0.3
v0.0.4
v0.0.5
v0.0.6
v0.0.7
v0.0.8
v0.0.9
v0.1.0
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '1a69e9e5ca'
${ noResults }
Go to file
Clemens Neudecker 1a69e9e5ca
Update README.md 		5 years ago
sbb_binarize update binarization tool 5 years ago
.gitkeep Add new directory, you can find corresponding models in qurator-data 5 years ago
LICENSE Add LICENSE 5 years ago
README.md Update README.md 5 years ago
make.sh Add new file 5 years ago
setup.py Update setup.py 5 years ago

README.md

Binarization

Binarization for document images

Introduction

This tool performs document image binarization for OCR using a trained model.

Installation

./make

Models

Pretrained models can be downloaded from here:
https://file.spk-berlin.de:8443/binarization_models/

Usage

sbb_binarize -m <directory of models> -i <image> -p <set to true in order to let the model see image in patches> -s <provide a directory with a given ouput name and format. The result will be saved here.>