在openCV warpPerspective中，如何转换左侧图像并将其缝合到右侧图像？

import cv2
import numpy as np

left_image = cv2.imread('left_image.jpg')
right_image = cv2.imread('right_image.jpg')

left_points = np.float32([[0, 0], [width, 0], [0, height], [width, height]])
right_points = np.float32([[shift, 0], [width + shift, 0], [0, height], [width, height]])

matrix = cv2.getPerspectiveTransform(left_points, right_points)

warped_image = cv2.warpPerspective(left_image, matrix, (width + shift, height))

result = np.where(warped_image == [0, 0, 0], right_image, warped_image)

cv2.imwrite('result.jpg', result)
cv2.imshow('Result', result)
cv2.waitKey(0)
cv2.destroyAllWindows()