Matching Error In Orb With Opencv 3

currently i am working on opevcv with python but when i use kp1 = orb.detect(img1,None) kp2 = orb.detect(img2,None) kp1, des1 = orb.compute(img1, kp1) kp2, des2 =

Solution 1:

You need to create the matcher object first. A complete example can be found on OpenCV tutorials:

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

img1 = cv2.imread('box.png',0)          # queryImage
img2 = cv2.imread('box_in_scene.png',0) # trainImage# Initiate ORB detector
orb = cv2.ORB()

# 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], flags=2)

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

Solution 2:

In the above code instead of orb = cv2.ORB()

useorb= cv2.ORB_create()

this resolves version compatibility issues:

TypeError: Incorrect type of self (must be 'Feature2D' or its derivative)