color-match

A simple flask app that extracts color combinations from a picture with a KMean algorithm

Description

This app allows you to drop images in a a flask webapp and to find out its color composition.

The color composition is calculated with a KMean algorithm.
The webapp is based on flask
The grid system is managed by Masonry
A mongo database is used to store the images and their parameters

Create your .env file

All your settings are stored in that file. Please create a new .env file in the root folder and edit your variables.

Here is an example of the .env file :

# Flask settings
FLASK_PORT=5000
FLASK_HOST = "0.0.0.0"

# Mongo settings
MONGO_HOST = "0.0.0.0"
MONGO_PORT = 27017
MONGO_DATABASE = "colormatch"
MONGO_TABLE = "images"
MONGO_USER = "root"
MONGO_PWD = "example"

Installation with Docker

In this case, you only need Docker. The installation process will take place during the build of the container. To build it :

docker-compose build

Run the projet

The container is launched with the following command :

docker-compose up

Open your web browser and go to <FLASK_HOST>:<FLASK_PORT> to see the flask app. The port is the port of your choice, written in your .env file ;)

Credits