Args: im (PIL.Image.Image): PIL image np_boxes (np.ndarray): shape:[N,6], N: number of box, matix element:[class, score, x_min, y_min, x_max, y_max] np_masks (np.ndarray): shape:[N, im_h, im_w] labels (list): labels:['class1', ..., 'classn'] t
(im, np_boxes, np_masks, labels, threshold=0.5)
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