Image Matching result in images where it shouldn't be one (Python opencv tutorial)

Image Matching result in images where it shouldn't be one (Python opencv tutorial)

I'm working with the&nbsp;<a href="" target="_blank">following</a>&nbsp;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
    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([])

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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