https://github.com/compvis/cuneiform-sign-detection-webapp
Code for demo web application of the article "Deep learning for cuneiform sign detection with weak supervision using transliteration alignment".
https://github.com/compvis/cuneiform-sign-detection-webapp
Last synced: 10 months ago
JSON representation
Code for demo web application of the article "Deep learning for cuneiform sign detection with weak supervision using transliteration alignment".
- Host: GitHub
- URL: https://github.com/compvis/cuneiform-sign-detection-webapp
- Owner: CompVis
- Created: 2020-11-19T11:25:58.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2021-01-27T15:08:42.000Z (about 5 years ago)
- Last Synced: 2025-03-21T12:07:27.042Z (11 months ago)
- Language: JavaScript
- Homepage:
- Size: 5.24 MB
- Stars: 5
- Watchers: 7
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Cuneiform-Sign-Detection-Webapp
This repository contains the web front-end of the web application presented in the article:
>Dencker, T., Klinkisch, P., Maul, S. M., and Ommer, B. (2020): Deep Learning of Cuneiform Sign Detection with Weak Supervision using Transliteration Alignment, PLOS ONE, 15:12, pp. 1–21
>[https://doi.org/10.1371/journal.pone.0243039](https://doi.org/10.1371/journal.pone.0243039)
The web front-end offers the following functionality:
- create collections of tablet images
- upload tablet images
- apply the sign detector
- visualize sign detections
- annotate cuneiform signs
- annotate lines
The web front-end has been developed using a combination of PHP and JavaScript.
### Requirements
- Apache web server (otherwise replace `.htaccess` files)
- PHP7 (with php-xml, php-curl, php-zip, php-gd packages)
### Installation
1) Create a copy of this repository on your machine so that the installed web server makes the web front end available through the browser.
2) Ensure that the `cuneiformbrowser/data` and `cuneiformbrowser/log` directory is writable.
One of several options is to use the chmod command, e.g. `$chmod -R 777 ./cuneiformbrowser/log/`
3) Setup your login preferences under `cuneiformbrowser/users/users.xml`.
(WARNING: the user access management is very basic and only provides a low level of protection)
4) To enable sign detection in the web front end, install the [cuneiform-sign-detection-code](https://github.com/compvis/cuneiform-sign-detection-code/) on the same machine and run the webapp back-end using `$python detector_app.py`.
For instruction how to run the webapp back-end, refer to the readme provided in [./lib/webapp/](https://github.com/compvis/cuneiform-sign-detection-code/blob/master/lib/webapp/).
### Usage
Please refer to the video and the help texts provided throughout the web front-end.
#### References
The two example images of clay tablets included in this repo are from the collection of the [Vorderasiatisches Museum Berlin](https://www.smb.museum/en/museums-institutions/vorderasiatisches-museum/home.html) which kindly granted us permission to use them for our research purposes.