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from numpy import array,clip,uint8
from numpy.random import uniform
def uniform_noise(image,hight=1.0,low=0.0):
image = array(image/255, dtype=float)
# 均匀分布
noise = uniform(low,hight,image.shape)
out = image + noise
if out.min() < 0:
low_clip = -1.
else:
low_clip = 0.
out = clip(out, low_clip, 1.0)
out = uint8(out*255)
return out