def make_one():
PREFIX="./"
outdir = PREFIX+"gradient_perlin_out/"
try:
os.mkdir(outdir)
except:
pass
w, h = 256, 256
p = 0.5
n = 4
values = noise.make_perlin_noise(w, h, p, n)
make_image2D(values, n, p, outdir)
def make_batch():
PREFIX="./"
outdir = PREFIX+"gradient_perlin_out/"
try:
os.mkdir(outdir)
except:
pass
w, h = 128, 128
for p in [0.1, 0.25, 0.5, 0.75, 1.0]:
for n in range(1, 10):
values = noise.make_perlin_noise(w, h, p, n)
#values /= values.max()
make_image2D(values, n, p, outdir)
