I have to stitch two or more images together using python and openCV. I found this code for finding keypoints and matches, but I don't know how to continue. Help me please! import numpy as np import cv2 MIN_MATCH_COUNT = 10 img1 = cv2.imread('a.jpg',0) # queryImage img2 = cv2.imread('b.jpg',0) # trainImage # Initiate SIFT detector sift = cv2.SIFT() # find the keypoints and descriptors with SIFT kp1, des1 = sift.detectAndCompute(img1,None) kp2, des2 = sift.detectAndCompute(img2,None) FLANN_INDEX_KDTREE = 0 index_params = dict(algorithm = FLANN_INDEX_KDTREE, trees = 5) search_params = dict(checks = 50) flann = cv2.FlannBasedMatcher(index_params, search_params) matches = flann.knnMatch(des1,des2,k=2) # store all the good matches as per Lowe's ratio test. good = [] for m,n in matches: if m.distance < 0.7*n.distance: good.append(m) Continue reading...