Skip to content

Latest commit

 

History

History
48 lines (34 loc) · 1.79 KB

README.md

File metadata and controls

48 lines (34 loc) · 1.79 KB

ImageViewer

Do you have a bunch of images with meta information that you would like to go through (or share)?

This is a web-based image viewer for that.

It is a tiny flask app, built with bootstrap, which will display images and their meta information from a table with pagination. It could be a starting point for a more complex application.

WARNING: This app was built to run locally for my own convenience and to be shared with a small number of collaborators. In app.py, the entire table is loaded into a global variable table. This can be problematic if the table is large, and the app receives a lot of traffic, as it will load the data for every process. You'll want to setup a proper database. See

Test out

You can either run in a new conda environment or use docker.

  1. Create a new conda environment to install required packages locally:
git clone https://github.com/smoh/imageviewer
cd imageviewer
conda env create    # will create 'viewer' environment specified in environment.yml
source activate viewer
python app.py
  1. Use docker:
git clone https://github.com/smoh/imageviewer
cd imageviewer
docker-compose up --build

Once the app is running, point your browser to localhost:5000. This will show images inside example/images/ directory with the related information in fakecatalog.csv like this:

Configure static file paths in app.py and modify templates in templates/ according to your needs. Flask uses the jinja template engine.