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unhacked perlin:

normal perlin

hacked perlin:

hacked perlin

animated:

hacked animated

animated octave perlin:

hacked animated octave

This is a hack-y version of the perlin noise algorithm. There's no hash function, we calculate random normalized vectors on-the-fly instead. These random vectors should at least reduce directional artifacts -- we do suffer extra computational overhead. We interpolate with nd.gaussian_filter, which is an interpolation through convolution.

The goal is simply to see if I could mimick perlin noise with an image filter.