OpenCV: ORB - Oriented FAST and Rotated BRIEF - Python Example

#ORB detection
#OpenCV 3.0.0
#Raspberry Pi 2, Jessie
#An efficient alternative to SIFT or SURF

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

img1 = cv2.imread('img1.jpg',0)        # this is the object you want to find
img2 = cv2.imread('img2.jpg',0)        # this is the "bigger picture"

# Initiate ORB detector
orb = cv2.ORB_create()

# Find the keypoints and descriptors with ORB
kp1, des1 = orb.detectAndCompute(img1,None)
kp2, des2 = orb.detectAndCompute(img2,None)

# create BFMatcher object
bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)

# Match descriptors.
matches = bf.match(des1,des2)

# Sort them in the order of their distance.
matches = sorted(matches, key = lambda x:x.distance)

# Draw first 10 matches.
img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10],None, flags=2)

plt.imshow(img3),plt.show()