text: import cv2
  import numpy as np
  import matplotlib.pyplot as plt
  
  img1 = cv2.imread('gain2.jpg',0) #logo.jpg
  img2 = cv2.imread('bee4.jpg',0) #image.jpg
  
  sift = cv2.xfeatures2d.SIFT_create()
  
  kp1, ds1 = sift.detectAndCompute(img1,None)
  kp2, ds2 = sift.detectAndCompute(img2,None)
  
  #img2 = cv2.drawKeypoints(img2, kp2, None)
  
  FLANN_INDEX_KDTREE = 0
  flannParams = dict(algorithm=FLANN_INDEX_KDTREE,tree=5)
  flann = cv2.FlannBasedMatcher(flannParams,{})
  
  matches = flann.knnMatch(ds1, ds2, k = 2)
  
  #bf = cv2.BFMatcher(cv2.NORM_L2, crossCheck=True)
  #matches = bf.match(ds1,ds2)
  #matches = sorted(matches, key = lambda x:x.distance)
  
  
  img3 = cv2.drawMatches(img1,kp1,img2,kp2,matches[:10],None, flags=2)
  
  
  
  #outImage = cv.drawKeypoints(img1, kp1, outImage[, color[, flags]])
  #outImg	 = cv.drawMatches(img1, keypoints1, img2, keypoints2, matches1to2, outImg[, matchColor[, singlePointColor[, matchesMask[, flags]]]])
  #outImg   = cv.drawMatchesKnn(img1, keypoints1, img2, keypoints2, matches1to2, outImg[, matchColor[, singlePointColor[, matchesMask[, flags]]]])
  
  plt.imshow(img3)
  plt.show()