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- import cv2
- import numpy as np
- import matplotlib.pyplot as plt
- img1 = cv2.imread('opencv-feature-matching-template.jpg',0) # provide 2 images, one for image and another for template
- img2 = cv2.imread('opencv-feature-matching-image.jpg',0)
- orb = cv2.ORB_create()
- kp1, des1 = orb.detectAndCompute(img1, None)
- kp2, des2 = orb.detectAndCompute(img2, None)
- bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck = True)
- matches = bf.match(des1, des2)
- matches = sorted(matches, key = lambda x: x.distance)
- img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10],None, flags=2)
- plt.imshow(img3)
- plt.show()
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