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  1. PO
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    <p>I am not sure whether i understand your questions correctly. But if you are looking for a sample of matching SURF keypoints, a very simple and basic one is below, which is similar to template matching:</p> <pre><code>import cv2 import numpy as np # Load the images img =cv2.imread('messi4.jpg') # Convert them to grayscale imgg =cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) # SURF extraction surf = cv2.SURF() kp, descritors = surf.detect(imgg,None,useProvidedKeypoints = False) # Setting up samples and responses for kNN samples = np.array(descritors) responses = np.arange(len(kp),dtype = np.float32) # kNN training knn = cv2.KNearest() knn.train(samples,responses) # Now loading a template image and searching for similar keypoints template = cv2.imread('template.jpg') templateg= cv2.cvtColor(template,cv2.COLOR_BGR2GRAY) keys,desc = surf.detect(templateg,None,useProvidedKeypoints = False) for h,des in enumerate(desc): des = np.array(des,np.float32).reshape((1,128)) retval, results, neigh_resp, dists = knn.find_nearest(des,1) res,dist = int(results[0][0]),dists[0][0] if dist&lt;0.1: # draw matched keypoints in red color color = (0,0,255) else: # draw unmatched in blue color print dist color = (255,0,0) #Draw matched key points on original image x,y = kp[res].pt center = (int(x),int(y)) cv2.circle(img,center,2,color,-1) #Draw matched key points on template image x,y = keys[h].pt center = (int(x),int(y)) cv2.circle(template,center,2,color,-1) cv2.imshow('img',img) cv2.imshow('tm',template) cv2.waitKey(0) cv2.destroyAllWindows() </code></pre> <p>Below are the results I got (copy pasted template image on original image using paint):</p> <p><img src="https://i.stack.imgur.com/quhvN.jpg" alt="enter image description here"></p> <p><img src="https://i.stack.imgur.com/MEoXn.jpg" alt="enter image description here"></p> <p>As you can see, <strong>there are some small mistakes</strong>. But for a startup, hope it is OK.</p>
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    1. USAbid Rahman K
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    1. COThanks for the detailed response! I've actually got a full implementation of SURF matching, however it was done with an older version of OpenCV. What I was looking for was this: `surf.detect(imgg,None,useProvidedKeypoints = False)`. Thank you very much! A great help.
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    2. COAmazing answer. Helped me a lot!
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    3. COusing your code with my images i get: OpenCV Error: Sizes of input arguments do not match (Response array must contain as many elements as the total number of samples) in cvPreprocessOrderedResponses
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