Python实现两张图片对比得出相似度

import numpy
import cv2
from PIL import Image


def calculate(image1, image2):
    image1 = cv2.cvtColor(numpy.asarray(image1), cv2.COLOR_RGB2BGR)
    image2 = cv2.cvtColor(numpy.asarray(image2), cv2.COLOR_RGB2BGR)
    hist1 = cv2.calcHist([image1], [0], None, [256], [0.0, 255.0])
    hist2 = cv2.calcHist([image2], [0], None, [256], [0.0, 255.0])
    # 计算直方图的重合度
    degree = 0
    for i in range(len(hist1)):
        if hist1[i] != hist2[i]:
            degree = degree + (1 - abs(hist1[i] - hist2[i]) / max(hist1[i], hist2[i]))
        else:
            degree = degree + 1
    degree = degree / len(hist1)
    return degree


def classify_hist_with_split(image1, image2, size=(256, 256)):
    image1 = Image.open(image1)
    image2 = Image.open(image2)
    # 将图像resize后，分离为RGB三个通道，再计算每个通道的相似值
    image1 = cv2.cvtColor(numpy.asarray(image1), cv2.COLOR_RGB2BGR)
    image2 = cv2.cvtColor(numpy.asarray(image