Docker containers to work on image analysis

Builds Docker containers (NginX, PostgreSQL, Flask) to provide a web interface to enable image analysis.

Overview

This repository will start an NginX web server to serve a HTML user interface to view and manipulae images. The NginX service provides a reverse proxy to a Flask application that can provide image calculations. NginX also reverse proxies a PostgreSQL database, which the images are stored.

Getting started

1. clone this repository

2. run pre-setup.sh (configures the files prior to running docker-compose) ./pre-setup.sh

3. Build the docker containers

docker-compose build

4 Run docker-compose up

docker-compose up -d

5. Now your UI should be up and running at http://127.0.0.1/

Author

Brent Maranzano

Additional steps to setup the Image data and UI App

Steps to populate image data in DB (Only required if you want to populate new images in DB else it will be populated with the default images)

This step will connect to Postgres database, convert and load the image into numpy array and insert into DB

Navigate to python directory

cd python

Copy all the images which you want to store in DB and rename them in the below format(starting from 0 to n) {n}_test.png Build the docker containers

docker-compose build

Run docker-compose again

docker-compose up -d

Steps to setup UI App (Only required if you make any change in UI codebase and want to deploy latest build)

Pre-requisite: Node should be installed

Go to ui directory and run following npm commands to create UI App build

cd ui

npm i

npm audit fix

npm run build

copy all the files from ui/build directory and place inside nginx/html directory Build and run the app with Compose

docker-compose build

docker-compose up -d

Now your UI should be up and running at http://127.0.0.1/ with latest UI build

License

This project is licensed under the MIT License - see the LICENSE file for details