功能：
利用三种不同的度量方式，寻找匹配
import cv2 as cv import numpy as np def template_demo(): tpl = cv.imread('F:004.jpg') target = cv.imread('F:001.jpg') cv.imshow('template image',tpl) cv.imshow('target image',target) methods = [cv.TM_SQDIFF_NORMED, cv.TM_CCORR_NORMED, cv.TM_CCOEFF_NORMED] th, tw = tpl.shape[:2] for md in methods: print(md) result = cv.matchTemplate(target,tpl,md) min_val ,max_val, min_loc, max_loc = cv.minMaxLoc(result) if md == cv.TM_SQDIFF_NORMED: tl = min_loc else: tl = max_loc br = (tl[0]+tw, tl[1]+th) cv.rectangle(target,tl,br,(0,0,255),2) cv.imshow('match-'+np.str(md),target) src = cv.imread('F:001.jpg') #cv.namedWindow('input_image', cv.WINDOW_AUTOSIZE) #cv.imshow("0", src) template_demo() cv.waitKey(0) cv.destroyAllWindows()输出结果：