OpenCV3.0 - module has no attribute SIFT

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  • yes, you need to build the opencv_extra modules (esp. xfeatures2d).

  • don't forget to run make install after the cmake/make step (your new python module has to get copied over to python/lib/sitelibs)

  • in 3.0 it's : cv2.xfeatures2d.SIFT (note the additional namespace)

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Clive
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Clive

I'm currently doing my Masters in Telecommunications Engineering at UNSW, Sydney. I completed my bachelors in Electronics and Commmunications Engineering at Toc-H Institute of Science and Technology.

Updated on February 20, 2021

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  • Clive
    Clive about 3 years

    I am using Ubuntu 12.04. I recently installed OpenCV 3.0 from https://github.com/Itseez/opencv/archive/3.0.0-alpha.zip. I want to do feature matching for which I used the following code:

    import numpy as np
    import cv2
    from matplotlib import pyplot as plt
    
    MIN_MATCH_COUNT = 10
    
    img1 = cv2.imread('box.png',0)          # queryImage
    img2 = cv2.imread('box_in_scene.png',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)
    
    if len(good)>MIN_MATCH_COUNT:
        src_pts = np.float32([ kp1[m.queryIdx].pt for m in good ]).reshape(-1,1,2)
        dst_pts = np.float32([ kp2[m.trainIdx].pt for m in good ]).reshape(-1,1,2)
    
        M, mask = cv2.findHomography(src_pts, dst_pts, cv2.RANSAC,5.0)
        matchesMask = mask.ravel().tolist()
    
        h,w = img1.shape
        pts = np.float32([ [0,0],[0,h-1],[w-1,h-1],[w-1,0] ]).reshape(-1,1,2)
        dst = cv2.perspectiveTransform(pts,M)
    
        img2 = cv2.polylines(img2,[np.int32(dst)],True,255,3, cv2.CV_AA)
    
    else:
        print "Not enough matches are found - %d/%d" % (len(good),MIN_MATCH_COUNT)
        matchesMask = None
    
    draw_params = dict(matchColor = (0,255,0), # draw matches in green color
                       singlePointColor = None,
                       matchesMask = matchesMask, # draw only inliers
                       flags = 2)
    
    img3 = cv2.drawMatches(img1,kp1,img2,kp2,good,None,**draw_params)
    
    plt.imshow(img3, 'gray'),plt.show()
    

    I get the following error:

    Traceback (most recent call last):
      File "feature_matching.py", line 11, in <module>
        sift = cv2.SIFT()
    AttributeError: 'module' object has no attribute 'SIFT'
    

    Why is SIFT not available in OpenCV 3.0? How do I add SIFT to OpenCV 3.0? Any help would be appreciated. Thankyou.

    PS. I tried including modules from https://github.com/Itseez/opencv_contrib

    $ cd <opencv_build_directory>
    $ cmake -DOPENCV_EXTRA_MODULES_PATH=<opencv_contrib>/modules <opencv_source_directory>
    $ make -j5
    $ make install