# this code is for feature matching
# we can match features in a image, to features in different image
# kept in differnt orientation or lighting

import numpy as np
import cv2
import matplotlib.pyplot as plt

#img1 = cv2.imread('opencv-feature-matching-template.jpg',0)
#img2 = cv2.imread('opencv-feature-matching-image.jpg',0)
img1 = cv2.imread('feature_matching.jpeg',0)
img2 = cv2.imread('feature_matching2.jpeg',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[:100],None, flags=2)
plt.imshow(img3)
plt.show()
