code: import cv2
  import numpy as np
  from matplotlib import pyplot as plt
  
  img = cv2.imread('a.jpg',0)
  img2 = img.copy()
  template = cv2.imread('b.jpg',0)
  w, h = template.shape[::-1]
  
  # All the 6 methods for comparison in a list
  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)
  
      # Apply template Matching
      res = cv2.matchTemplate(img,template,method)
      min_val, max_val, min_loc, max_loc = cv2.minMaxLoc(res)
  
      # If the method is TM_SQDIFF or TM_SQDIFF_NORMED, take minimum
      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)
  
      plt.subplot(121),plt.imshow(res,cmap = 'gray')
      plt.title('Matching Result'), plt.xticks([]), plt.yticks([])
      plt.subplot(122),plt.imshow(img,cmap = 'gray')
      plt.title('Detected Point'), plt.xticks([]), plt.yticks([])
      plt.suptitle(meth)
  
      plt.show()
  
apis: matplotlib.pyplot.xticks matplotlib.pyplot.title matplotlib.pyplot.subplot matplotlib.pyplot.show matplotlib.pyplot.imshow matplotlib.pyplot.suptitle matplotlib.pyplot.yticks