Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- import cv2
- import numpy as np
- from matplotlib import pyplot as plt
- img = cv2.imread('messi5.jpg',0)
- img2 = img.copy()
- template = cv2.imread('template.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()
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement