在OpenCV中，可以使用cv2.pyrDown()和cv2.pyrUp()函数来构建图像金字塔。

import cv2# 读取图像image = cv2.imread('image.jpg')# 构建高斯金字塔layer = image.copy()gaussian_pyramid = [layer]for i in range(6):layer = cv2.pyrDown(layer)gaussian_pyramid.append(layer)# 显示高斯金字塔for i in range(6):cv2.imshow('Gaussian Pyramid Layer '+str(i), gaussian_pyramid[i])cv2.waitKey(0)# 构建拉普拉斯金字塔laplacian_pyramid = [gaussian_pyramid[5]]for i in range(5, 0, -1):size = (gaussian_pyramid[i - 1].shape[1], gaussian_pyramid[i - 1].shape[0])laplacian = cv2.subtract(gaussian_pyramid[i - 1], cv2.pyrUp(gaussian_pyramid[i], dstsize=size))laplacian_pyramid.append(laplacian)# 显示拉普拉斯金字塔for i in range(6):cv2.imshow('Laplacian Pyramid Layer '+str(i), laplacian_pyramid[i])cv2.waitKey(0)cv2.destroyAllWindows()

这段代码首先读取图像，然后使用cv2.pyrDown()函数构建高斯金字塔，接着通过减法和cv2.pyrUp()函数构建拉普拉斯金字塔。最后显示金字塔的每一层。