PyPerlin is an implementation of Ken Perlin's Perlin Noise in two dimensions.
In order to use just the Perlin Noise (pyperlin.py) you just need out-of-the-box Python 3.
If you want to run the test script (test.py), you need the PILLOW module for image functionalities.
In order to use the module, just instantiate the noise selecting the desired parameters. A noise have the following attributes:
frequency- the frequency of the noiseamplitude- the variation between the maximum and minimum values of the noise (hardcoded default is 1)octaves- number of iterations of noise generationpersistence- a value multiplied by the amplitude at each octaveseed- a random or pseudo-random value that will randomize the generated noise (default is 0)
In pseudocode, what happens is the following:
for i = (0 .. octaves-1):
total = total + noise(x * frequency, y * frequency) * amplitude
amplitude = amplitude * persistence
frequency = frequency * 2
return total
See test.py for details on how visualize the results.
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.