noisycols

Makes pretty images from noisy, colorful blobs.

The process is:

• Sample a few special points. These will be the centers of the blobs. (Currently: Uniform, independent.)
• Determine a random color for them. (Currently: Uniform, independent.)
• Sample the colors at each pixel, which consists of:
  • Adding a bit of jitter. (Currently: Gaussian, stddev 40.0)
  • Computing the distance to all color points. (Currently: Euclidean.)
  • Compute a weight depending on the distance. (Currently d^-2.)
  • Interpolate between the colors according to the computed weights, and convert to usable RGB.

This may take a moment, especially on large resolutions. (30 seconds on my laptop.)

Here are a few especially pleasing ones:

Table of Contents

• Install
• Usage
• Performance
• TODOs
• NOTDOs
• Contribute

Install

You need PIL (pillow) and Python >= 3.7. Most developers already have those, so I don't supply a requirements.txt.

Usage

Just use it! No dependencies (beyond PIL), and it's short enough.

./generate.py YOURFILENAMEHERE.png

Personally, I like to invoke it like this: ./generate.py output_$(date +%s).png.

If 30 seconds is too slow for you, try out lower resolutions. Remember to adjust things like number of colorpoints!

Performance

Bad. It's unoptimized python. I just share it because it's pretty pictures.

TODOs

• Play around with it until I get bored.

NOTDOs

• Anything professional

Contribute

Feel free to dive in! Open an issue or submit PRs.