Last active
December 16, 2015 21:56
-
-
Save nitori/3edbec1dfab92c5eff0c to your computer and use it in GitHub Desktop.
test
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import math | |
import colorsys | |
from itertools import product | |
from noise import snoise2 | |
from PIL import Image | |
import numpy as np | |
size = (500, 500) | |
im = Image.new('RGB', size) | |
data = np.zeros((size[1], size[0], 3), dtype='uint8') | |
hi = np.array(colorsys.rgb_to_hsv(0, 255, 0)) | |
lo = np.array(colorsys.rgb_to_hsv(0, 0, 128)) | |
delta = hi - lo | |
stretch_factor = 20 | |
zoom = 16.0 * 32 | |
for y, x in product(*(range(n) for n in size)): | |
z = snoise2( | |
x/zoom, y/zoom, | |
octaves=10, | |
persistence=0.6, | |
# lacunarity=2.0, | |
repeatx=1000, | |
repeaty=1001, | |
base=0.0) | |
# z = (-math.sqrt(abs(z)) + 1) / 2 | |
z = (z + 1) / 2 | |
z = max(0.0, min(1.0, 0.5 + (z - 0.5) * stretch_factor)) | |
data[x,y] = colorsys.hsv_to_rgb(*(lo + (delta * z))) | |
hi = np.array([0, 255, 0], dtype='uint8') | |
lo = np.array([0, 0, 128], dtype='uint8') | |
im.frombytes(data) | |
im.save('test.png') | |
im.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment