qurator-spk
/
ocrd_calamari
mirror of https://github.com/mikegerber/ocrd_calamari.git
1
0
Fork 0
Code Releases 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.
68 Commits
3 Branches
13 Tags
289 KiB
Python 89.6%
Makefile 8.8%
Dockerfile 1.6%
 
 
 
test-python-3.11
master
fix/readme-no-checkpoint
v1.0.5
v1.0.4
v1.0.3
v1.0.2
v1.0.1
v1.0.0
v0.0.7
v0.0.6
v0.0.5
v0.0.4
v0.0.3
v0.0.1
v0.0.2
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '99d04ddccb'
${ noResults }
Go to file
Gerber, Mike 99d04ddccb ✅ Fix tests by 1. binarizing and 2. use the GT4HistOCR model 5 years ago
.circleci ✅ Use Ubuntu 18.04 LTS again (19.04 is EOL 2020-01) 5 years ago
.idea 🔧 Add PyCharm project files 5 years ago
ocrd_calamari remove existing annotation below the line level to avoid inconsistency 5 years ago
test ✅ Fix tests by 1. binarizing and 2. use the GT4HistOCR model 5 years ago
.coveragerc ✅ Only do the coverage on our code 5 years ago
.gitignore ✅ Fix tests by 1. binarizing and 2. use the GT4HistOCR model 5 years ago
Dockerfile Dockerfile 5 years ago
LICENSE Initial commit 7 years ago
Makefile ✅ Fix tests by 1. binarizing and 2. use the GT4HistOCR model 5 years ago
README-DEV.md 📝 README: Add testing instructions + reference README-DEV.md 5 years ago
README.md ✅ Fix tests by 1. binarizing and 2. use the GT4HistOCR model 5 years ago
ocrd-tool.json . 7 years ago
requirements-test.txt ✅ Use GT segmentation to test 5 years ago
requirements.txt 🐛 Further tighten dependencies to a known good configuration 5 years ago
setup.py 📦 v0.0.3 – To fix version inconsistency 5 years ago

README.md

ocrd_calamari

Recognize text using Calamari OCR.

image image image

Introduction

This offers a OCR-D compliant workspace processor for some of the functionality of Calamari OCR.

This processor only operates on the text line level and so needs a line segmentation (and by extension a binarized image) as its input.

Installation

From PyPI

pip install ocrd_calamari

From Repo

pip install .

Install models

Download standard models:

wget https://github.com/Calamari-OCR/calamari_models/archive/master.zip
unzip master.zip

Download models trained on GT4HistOCR data:

make gt4histocr-calamari
ls gt4histocr-calamari

Example Usage

ocrd-calamari-recognize -p test-parameters.json -m mets.xml -I OCR-D-SEG-LINE -O OCR-D-OCR-CALAMARI

With test-parameters.json:

{
    "checkpoint": "/path/to/some/trained/models/*.ckpt.json"
}

Development & Testing

For information regarding development and testing, please see README-DEV.md.