问OpenCV和Python-如何通过指定坐标来叠加图像？

EN

import numpy as np
import cv2


base = cv2.imread("images/frame_03563.jpg")
curr_photo = cv2.imread("images/frame_03564.jpg")

height, width = curr_photo.shape[:2]

# Step 1
# which transformation is required to go from curr_photo to base?
transformation = cv2.estimateRigidTransform(curr_photo, base, True)

# Step 2
# add a line to the affine transformation matrix so it can be used by
# perspectiveTransform
three_by_three = np.array([
    transformation[0],
    transformation[1],
    [0, 0, 1]], dtype="float32")

# get corners of curr_photo (to be transformed)
corners = np.array([
    [0, 0],
    [width - 1, 0],
    [width - 1, height - 1],
    [0, height - 1]
])

# where do the corners of the image go
trans_corners = cv2.perspectiveTransform(np.float32([corners]), three_by_three)

# get the bounding rectangle for the four corner points (and thus, the transformed image)
bx, by, bwidth, bheight = cv2.boundingRect(trans_corners)

# Step 3
# modify transformation matrix so that the top left of the bounding box is at the origin
transformation[0][2] = transformation[0][2] - bx
transformation[1][2] = transformation[1][2] - by

# Step 4
# transform the image in a window the size of its bounding rectangle (so no cropping)
mod_curr_photo = cv2.warpAffine(curr_photo, transformation, (bwidth, bheight))

# for viewing
cv2.imshow("base", base)
cv2.imshow("current photo", curr_photo)
cv2.imshow("image2 transformed to image 1", mod_curr_photo)

cv2.waitKey()