I'm working with the <a href="https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_imgproc/py_template_matching/py_template_matching.html" target="_blank">following</a> python opencv example:
I'm working with the following python opencv example:
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 + w, top_left + 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()
The matching works pretty well on a set of chosen images, which clearly contained the template. My problem is that even in images which clearly doesn't contain the template a rectangle was drawn. How can I fit the source code, so it can handle image which doesn't match at all.
Thanks in advance
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