https://github.com/tchaton/image-annotation-website-for-deep-learning-project
https://github.com/tchaton/image-annotation-website-for-deep-learning-project
Last synced: over 1 year ago
JSON representation
- Host: GitHub
- URL: https://github.com/tchaton/image-annotation-website-for-deep-learning-project
- Owner: tchaton
- Created: 2016-11-16T19:33:15.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2016-11-16T19:55:59.000Z (over 9 years ago)
- Last Synced: 2025-01-21T03:24:52.942Z (over 1 year ago)
- Language: JavaScript
- Size: 78.1 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Image-Annotation-Website-for-Deep-Learning-Project
# How to use .
1. You need to launch local server (as Mamp) in order to have acces to the index.html page.
2. Put the images you want to annotate in the /imgs folder
3. Launch the python server : python python_server.py
4. On the website page,
- previous: allow to change the previous caption
- next: allow to access a random image of the /imgs folder
- final : submit the local storage , json data with image_path and caption associated
5. The python_server.py code will save a .json file in /checks folder
6. The python_reduce code allow to make a map-reduce on image path , associating one path to several captions (may be useful if several people use this website)
7 . It is done.