opencv2 图片相似度比较_cv2::comparessim

from skimage.measure import compare_ssim
import cv2

class CompareImage():

    def compare_image(self, path_image1, path_image2):
        print()
        TT = cv2.imread(path_image2, 0)
        (W, H) = TT.shape
        imageA = cv2.imread(path_image1)
        imageB = cv2.imread(path_image2)
        # 重置图片大小，下面的compare_ssim 是指接受大小相同的图表对比
        imageA1 = cv2.resize(imageA, (W, H))
        # 图片灰度处理
        grayA = cv2.cvtColor(imageA1, cv2.COLOR_BGR2GRAY)
        grayB = cv2.cvtColor(imageB, cv2.COLOR_BGR2GRAY)

        (score, diff) = compare_ssim(grayA, grayB, full=True)
        print("SSIM: {} {}".format(score, type(diff)))
        return score

compare_image = CompareImage()
# 图表路径为英文绝对路径
compare_image.compare_image(r"D:/1.png", r"D:/1_2.png")

result:

SSIM: 0.9612563765412815 <class 'numpy.ndarray'>