我有一个为我的项目产生柏林噪音的问题。因为我想了解如何正确地使用库,所以我尝试一步一步地遵循这个页面:https://medium.com/@yvanscher/playing-with-perlin-noise-generating-realistic-archipelagos-b59f004d8401 在第一部分中,有代码:
import noise
import numpy as np
from scipy.misc import toimage
shape = (1024,1024)
scale = 100.0
octaves = 6
persistence = 0.5
lacunarity = 2.0
world = np.zeros(shape)
for i in range(shape[0]):
for j in range(shape[1]):
world[i][j] = noise.pnoise2(i/scale,
j/scale,
octaves=octaves,
persistence=persistence,
lacunarity=lacunarity,
repeatx=1024,
repeaty=1024,
base=0)
toimage(world).show()
我复制粘贴它,并在末尾进行小改动(toimage已过时),因此我有:
import noise
import numpy as np
from PIL import Image
shape = (1024,1024)
scale = 100
octaves = 6
persistence = 0.5
lacunarity = 2.0
seed = np.random.randint(0,100)
world = np.zeros(shape)
for i in range(shape[0]):
for j in range(shape[1]):
world[i][j] = noise.pnoise2(i/scale,
j/scale,
octaves=octaves,
persistence=persistence,
lacunarity=lacunarity,
repeatx=1024,
repeaty=1024,
base=seed)
Image.fromarray(world, mode='L').show()
我尝试了很多衍射模式,但这种噪声甚至不接近相干噪声。我的结果类似于this(mode='L')。谁能解释一下,我做错了什么
如果有人来找我,你应该用噪声库正常化
这样,就不会有任何异常的斑点颜色相反,它应该是什么
这是工作代码。我冒昧地把它清理了一下。有关详细信息,请参见注释。最后一个建议是:在测试代码时,使用matplotlib进行可视化。它的
imshow()
函数比PIL
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