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- import cv2
- import numpy as np
- img_rgb = cv2.imread('opencv-template-matching-python-tutorial.jpg')
- img_gray = cv2.cvtColor(img_rgb, cv2.COLOR_BGR2GRAY)
- template = cv2.imread('opencv-template-for-matching.jpg',0)
- w, h = template.shape[::-1]
- res = cv2.matchTemplate(img_gray,template,cv2.TM_CCOEFF_NORMED)
- threshold = 0.8
- loc = np.where( res >= threshold)
- for pt in zip(*loc[::-1]):
- cv2.rectangle(img_rgb, pt, (pt[0] + w, pt[1] + h), (0,255,255), 2)
- cv2.imshow('Detected',img_rgb)
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