qurator-spk
/
train-calamari-gt4histocr
mirror of https://github.com/qurator-spk/train-calamari-gt4histocr.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.
29 Commits
1 Branch
0 Tags
56 KiB
Shell 100%
 
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '0bbf25208c'
${ noResults }
Go to file
dependabot[bot] 0bbf25208c
build(deps): bump tensorflow-gpu from 2.0.0 to 2.5.1 
Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 2.0.0 to 2.5.1.
- [Release notes](https://github.com/tensorflow/tensorflow/releases)
- [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md)
- [Commits](https://github.com/tensorflow/tensorflow/compare/v2.0.0...v2.5.1)

---
updated-dependencies:
- dependency-name: tensorflow-gpu
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
 		4 years ago
data@b3d65a11f5 🧹 Replace colons in file and directory names 5 years ago
LICENSE calamari-models/train-calamari-gt4histocr: Add license (Fixes qurator-spk/train-calamari-gt4histocr#1) 6 years ago
README.md Merge commit 'a8848c939b4abfca1582fb4da676a91361f88f00' 5 years ago
qurator_data_lib.sh ⬆ update */qurator_data_lib.sh 5 years ago
requirements.txt build(deps): bump tensorflow-gpu from 2.0.0 to 2.5.1 4 years ago
train.sh 🧹 Replace colons in file and directory names 5 years ago
upload-prepare.sh calamari-models/train-calamari-gt4histocr: Add a script to prepare upload 6 years ago

README.md

Train a GT4HistOCR Calamari model

train.sh trains a Calamari 1 model based on GT4HistOCR. Or rather 5 using cross-validation to use for confidence voting. This repository mainly serves as documentation of the provenance of the model published at https://qurator-data.de/calamari-models/, not as the definitive guide to training such a model.

Trained models

For a finished model have a look here: https://qurator-data.de/calamari-models/

Training your own model

If you really want to, you can use this script to train your own. It takes about 1 week on a Nvidia RTX 2080 GPU. Please use requirements.txt in that case to setup a virtualenv.

train.sh is able to download GT4HistOCR from the web if the data submodule is not available, that is if you're not a member of the Qurator team at SBB.