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)