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yvan/circular_grad_noise.py

Created November 7, 2017 02:18
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circular_grad_noise.py
world_noise = np.zeros_like(world)
for i in range(shape[0]):
for j in range(shape[1]):
world_noise[i][j] = (world[i][j] * circle_grad[i][j])
if world_noise[i][j] > 0:
world_noise[i][j] *= 20
# get it between 0 and 1
max_grad = np.max(world_noise)
world_noise = world_noise / max_grad
toimage(world_noise).show()
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