python - 使用 ssim 比较不同维度的图像时出错

Question

下面是比较我正在使用的两个图像的代码：

# import the necessary packages
import cv2
from skimage.measure import compare_ssim

# construct the argument parse and parse the arguments


# load the two input images
imageA = cv2.imread('iron1.jpg')
imageB = cv2.imread('end.jpg')
(H, W, C) = imageA.shape
imageB = cv2.resize(imageB, imageA.shape)
# convert the images to grayscale
grayA = cv2.cvtColor(imageA, cv2.COLOR_BGR2GRAY)
grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY)

(score, diff) = compare_ssim(grayA, grayB, full=True)
diff = (diff * 255).astype("uint8")
print("SSIM: {}".format(score))

并在调整两个图像的大小时出现以下错误：

  File "C:/Users/afaraz/PycharmProjects/tet/opencv_test.py", line 13, in <module>
    imageB=cv2.resize(imageB, imageA.shape)
TypeError: function takes exactly 2 arguments (3 given)

请帮忙解决这个问题！！