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- import numpy as np
- import imageio
- import scipy.ndimage
- import cv2
- img="photo.jpg"
- def grayscale(rgb):
- return np.dot(rgb[...,:3],[0.299,0.587,0.114])
- def dodge(front,back):
- result=front*255/(255-back)
- result[result>255]=255
- result[back==255]=255
- return result.astype('uint8')
- s=imageio.imread(img)
- g=grayscale(s)
- i=255-g
- b=scipy.ndimage.filters.gaussian_filter(i,sigma=10)
- r=dodge(b,g)
- cv2.imwrite('1.png',r)
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