reduce-colours

This algorithm allows you to reduce the number of colours inside an original image to a desired number of colours (n).

Fast tutorial:

1. pip install -r requirements.txt
2. py ui/main_gui.py

Slower tutorial:

• First, download Python 3.7
• Do this OR the next step:
  • Download GIT for Windows (if you're using Windows)
  • Open a command prompt where you want to put the program's files (SHIFT + right click > "open command prompt here")
  • Write git clone https://github.com/Coul33t/reduce-colours.git: this will copy the content of this repository to your machine
• Do this OR the previous step:
  • Download the ZIP file (green icon in the top right corner of this repository)
  • Extract it where you want to put the program's files
  • Open a command prompt in the folder (SHIFT + Right click on the folder, then > "open command prompt here")
• Write pip install -r requirements.txt in the command prompt (this will install all the required libraries for the program to run corectly)
• Write py ui/main_gui.py (this will launch the program)

Libraries used:

• Skimage (Scikit image)
• OpenCV (unusued right now)
• PIL
• Numpy
• Libtcod (unused right now)

TODO:

• Args parser (input image and n)
• Allow to specify regions to exclude for the colour reduction
• Initial and final colours display in terminal with libtcod