Day #115 - Image Template Comparison

Template Matching, OpevCV3, Python 3 Environment

	#pip install opencv-python==3.3.0.10 opencv-contrib-python==3.3.0.10
	#https://stackoverflow.com/questions/37039224/attributeerror-module-object-has-no-attribute-xfeatures2d-python-opencv-2
	#Updated April 25/2020
	import numpy as np
	import cv2
	import matplotlib.pyplot as plt
	img1 = cv2.imread('D:\\Template\\p23.jpg',0) # queryImage
	img2 = cv2.imread('D:\\TestImage\T3.jpeg',0) # trainImage
	sift = cv2.xfeatures2d.SIFT_create()
	# find the keypoints and descriptors with SIFT
	kp1, des1 = sift.detectAndCompute(img1,None)
	kp2, des2 = sift.detectAndCompute(img2,None)
	# BFMatcher with default params
	bf = cv2.BFMatcher()
	matches = bf.knnMatch(des1,des2, k=2)
	# Apply ratio test
	good = []
	for m,n in matches:
	if m.distance < 0.7*n.distance:
	good.append([m])
	img3 = cv2.drawMatchesKnn(img1,kp1,img2,kp2,good,None,flags=2)
	plt.imshow(img3),plt.show()
	print('Number of matches - SIFT')
	print(len(good))

view raw comparison.py hosted with ❤ by GitHub

Happy Learning!!!