小编Pix*_*luz的帖子

我有一段代码用于匹配影片剪辑和参考图像之间的特征。它通常运行良好，但有时会在剪辑中间抛出错误。由于它总是在相同的剪辑中，并且在同一时间，我猜它尝试分析的帧有问题。

我的代码：

 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 …