README.md

generative-art

The work is a personal project which focus on generated color palates, iether by kmean clustering of the colors from a sample image, or via random generation. These color palates are then expressed using particle motion across a 2D canvas. An example is shown below:

Heavily inspired and motivated by the work of Anders Hoff and with code based on his work at his GitHub.

At the moment this is a personal project with minimal documentation, but if you want to know more just let me know and I will make more documentation, I just need the excuse :)

files

render.py

Includes the classes that handle the actual display and saving of the images. They rely on Gtk to display the drawings in a window, and cairo for the actual image surfaces.

colormap.py

Generates color spectrums from a selection of colors. These can be random or predefined.

kmean.py

Uses the python image library to import sample images as data arrays. Then performs k-mean clustering on the arrays to generate color palates. Also has code to display the sample image along with the color palate

random_color_line.py

Hold the code for the particle motion and evolution, both in color and cartesian space. also can be adapted to include global forces.

burst_from_kmean.py

A script of the point_burst funtion that uses a pregenerated color palate outputted from kmean.py

randomburst.py

script of pointburst that uses a random color palate

gridburst.py

shell script to produce multiple randombursts and then tile them into a single image