# -*- coding:utf-8 -*-   

import cv2  
import numpy as np  
from matplotlib import pyplot as plt  

img = cv2.imread("/media/圖片/Wallpapers/SMG.png",0)  
img2 = img.copy()  
template = cv2.imread("/media/圖片/7.png",0)  
w,h = template.shape[::-1]  

methods = ['cv2.TM_CCOEFF', 'cv2.TM_CCOEFF_NORMED', 'cv2.TM_CCORR'
 
,  
           'cv2.TM_CCORR_NORMED', 'cv2.TM_SQDIFF', 'cv2.TM_SQDIFF_NORMED']  

for meth in methods:  
    img = img2.copy()  

    method = eval(meth)  

    res = cv2.matchTemplate(img,template,method)  
    min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)  

    if method in [cv2.TM_SQDIFF, cv2.TM_SQDIFF_NORMED]:  
        top_left = min_loc  
    else
 
:  
        top_left = max_loc  
    bottom_right = (top_left[0] + w, top_left[1] + h)  

    cv2.rectangle(img,top_left, bottom_right, 255, 2)  

    print (meth) 
    plt.subplot(221), plt.imshow(img2,cmap= "gray")  
    plt.title('Original Image'), plt.xticks([]),plt.yticks([])  
    plt.subplot(222
 
), plt.imshow(template,cmap= "gray")  
    plt.title('template Image'),plt.xticks([]),plt.yticks([])  
    plt.subplot(223), plt.imshow(res,cmap= "gray")  
    plt.title('Matching Result'), plt.xticks([]),plt.yticks([])  
    plt.subplot(224), plt.imshow(img,cmap= "gray")  
    plt.title('Detected Point'),plt.xticks([]),plt.yticks([])  
    plt.show()  

注：matplotlib中cmap為gray為黑底白字，gray_r為白底黑字，seismic為兩端發散的色圖