mask + rgb实现背景减除

import cv2
import numpy as np
rgb_raw_pth='D:/Program/lightv1.2.5/write-01_2021-04-29 15_03_29/rgb/76.jpg'
rgb_mask_pth='D:/Program/lightv1.2.5/write-01_2021-04-29 15_03_29/sg_result76.bmp'
rgb=cv2.imread(rgb_raw_pth,-1)
mask=cv2.imread(rgb_mask_pth,-1)
#print(mask)

mask_3 = np.zeros_like(rgb)
mask_3[:,:,0] = mask
mask_3[:,:,1] = mask
mask_3[:,:,2] = mask

sub=cv2.bitwise_and(rgb,mask_3)

#sub= np.zeros_like(rgb)

#for row in range(mask.shape[0]):
    #for col in range(mask.shape[1]):
        
        # 如果掩图的像素不等于0，则dst(x,y) = scr(x,y)
        #if mask[row, col] != 0:
             # dst_image和scr_Image一定要高宽通道数都相同，否则会报错
            #rgb[row, col] = rgb[row, col] 
            
        # 如果掩图的像素等于0，则dst(x,y) = 0
        #elif mask[row, col] == 0:
            #rgb[row, col] = 0



cv2.imshow('sub',sub)

cv2.waitKey(0)
cv2.destroyAllWindows()