Args: im (str/np.ndarray): path of image/np.ndarray read by cv2 results (dict): include 'boxes': np.ndarray: shape:[N,6], N: number of box, matix element:[class, score, x_min, y_min, x_max, y_max] MaskRCNN's results include 'masks'
(im, results, labels, threshold=0.5)
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