python产生混合的拉普拉斯金字塔

以下是Python代码示例，用于生成混合的拉普拉斯金字塔：

import cv2
import numpy as np

def generate_laplacian_pyramid(img):
    pyramid = []
    pyramid.append(img)
    for i in range(6):
        img = cv2.pyrDown(img)
        pyramid.append(img)
    laplacian_pyramid = []
    for i in range(5, 0, -1):
        GE = cv2.pyrUp(pyramid[i])
        L = cv2.subtract(pyramid[i-1], GE)
        laplacian_pyramid.append(L)
    laplacian_pyramid.append(pyramid[0])
    return laplacian_pyramid

def blend_images(img1, img2, mask):
    blended = np.zeros_like(img1)
    for i in range(3):
        blended[:,:,i] = img1[:,:,i] * (1 - mask) + img2[:,:,i] * mask
    return blended

img1 = cv2.imread('image1.jpg')
img2 = cv2.imread('image2.jpg')
mask = cv2.imread('mask.jpg', 0) / 255.0

laplacian_pyramid1 = generate_laplacian_pyramid(img1)
laplacian_pyramid2 = generate_laplacian_pyramid(img2)
mask_pyramid = generate_laplacian_pyramid(mask)

blended_pyramid = []
for i in range(len(laplacian_pyramid1)):
    blended = blend_images(laplacian_pyramid1[i], laplacian_pyramid2[i], mask_pyramid[i])
    blended_pyramid.append(blended)

blended_image = blended_pyramid[0]
for i in range(1, len(blended_pyramid)):
    blended_image = cv2.add(cv2.pyrUp(blended_image), blended_pyramid[i])

cv2.imshow('Blended Image', blended_image)
cv2.waitKey(0)