OpenCV error while feature matching with FLANN

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I have a piece of code for matching features between a movie clip and a reference image. It generally works well, but sometimes it throws an error in the middle of a clip. Since it's always in the same clips, and at the same time, I guess there is something wrong with the frame it tries to analyze.

My code:

 cap = cv2.VideoCapture(clip_file)
 img1 = cv2.imread(ref_image,0)

 while(cap.isOpened()):

    # read the frame and convert to gray-scale
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    # Initiate ORB detector
    orb = cv2.ORB_create()

    # find the keypoints and descriptors with ORB
    kp1, des1 = orb.detectAndCompute(img1,None)
    kp2, des2 = orb.detectAndCompute(gray,None)

    # FLANN parameters
    FLANN_INDEX_LSH = 6
    index_params= dict(algorithm = FLANN_INDEX_LSH,
                table_number = 6, # 12
                key_size = 12,     # 20
                multi_probe_level = 1) #2
    search_params = dict(checks=50)   # or pass empty dictionary

    flann = cv2.FlannBasedMatcher(index_params,search_params)

    matches = flann.knnMatch(des1,des2,k=2)
    cv2.imshow('img3',frame)

The error it throws sometimes during the clip playing:

Traceback (most recent call last):
 File "movie_test.py", line 81, in <module>
flann_movie('data/movie.avi','data/ref.jpg')
 File "movie_test.py", line 35, in flann_movie
matches = flann.knnMatch(des1,des2,k=1)
 cv2.error: OpenCV(3.4.2) C:\projects\opencv- 
  python\opencv\modules\flann\src\miniflann.cpp:317: error: (-5:Bad 
   argument) Only continuous arrays are supported in function 
   'cv::flann::buildIndex_'

Any suggestions on what causes the error would be appreciated. Thanks.

2 Answers

I think error is caused by frames of your video where no trace of original feature template was detected. Check what mid-results of matching are for each frame and then if that is the cause change the parameters of FLANN or simply skip those frames before the error occurs.

You have the following:

matches = flann.knnMatch(des1,des2,k=2)

With k=2 it means each element needs to have 2-nearest neighbors. As a result, each list of descriptors needs to have more than 2 elements each:

if(des1 is not None and len(des1)>2 and des2 is not None and len(des2)>2):
   matches = flann.knnMatch(des1,des2,k=2)

(k-nearest neighbors algorithm)

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