如何在背景OpenCV和Python上调整蒙版图像的大小并进行平移

import cv2
import numpy as np

background = cv2.imread("background.jpg")
mask = cv2.imread("mask.jpg")

resized_mask = cv2.resize(mask, (background.shape[1], background.shape[0]))

M = np.float32([[1, 0, dx], [0, 1, dy]])
translated_mask = cv2.warpAffine(resized_mask, M, (background.shape[1], background.shape[0]))

import cv2
import numpy as np

background = cv2.imread("background.jpg")
mask = cv2.imread("mask.jpg")

resized_mask = cv2.resize(mask, (background.shape[1], background.shape[0]))

dx = 100  # x方向上的平移量
dy = 50  # y方向上的平移量
M = np.float32([[1, 0, dx], [0, 1, dy]])
translated_mask = cv2.warpAffine(resized_mask, M, (background.shape[1], background.shape[0]))

result = cv2.bitwise_and(background, cv2.bitwise_not(translated_mask))
result = cv2.bitwise_or(result, translated_mask)

cv2.imshow("Result", result)
cv2.waitKey(0)
cv2.destroyAllWindows()