Awesome

Image Decompiler

Arranges triangles in order to minimize the difference between the framebuffer and the source image.

Currently only handles PNG images.

The goal of the image decompiler is to produce:

The process of creating the list of triangles is as follows:

Read in parameters from user, such as source png image and maximum triangle count
Create N primary and N secondary canvases
Create N empty triangle lists
Add a small triangle with random color and random position to the current most optimal list
Set the frame counter to 0
Create N - 1 variations of the current most optimal list. These variations are each a random 'distance' and random 'direction' away parameter-wise, and biased towards changing the most recently added triangle
For the N primary canvases: draw the triangle lists into the canvases
For N secondary canvases: draw the absolute value of the difference between the source image and the primary canvas into the secondary canvas
For N secondary canvases: determine the average value of the difference (top mipmap value)
Choose the canvas with the lowest average difference and set it as the current most optimal list
Save a screenshot once every M minutes
Handle user input
Add one to the frame counter
If the triangle list is full or the frame counter is less than F: goto 4
goto 3