def clip_boxes(boxes, im_shape):
    """
    Clip boxes to image boundaries.
    :param boxes: [N, 4* num_classes]
    :param im_shape: tuple of 2
    :return: [N, 4* num_classes]
    """
    # x1 >= 0
    boxes[:, 0::4] = np.maximum(np.minimum(boxes[:, 0::4], im_shape[1] - 1), 0)
    # y1 >= 0
    boxes[:, 1::4] = np.maximum(np.minimum(boxes[:, 1::4], im_shape[0] - 1), 0)
    # x2 < im_shape[1]
    boxes[:, 2::4] = np.maximum(np.minimum(boxes[:, 2::4], im_shape[1] - 1), 0)
    # y2 < im_shape[0]
    boxes[:, 3::4] = np.maximum(np.minimum(boxes[:, 3::4], im_shape[0] - 1), 0)
    return boxes

    Clip boxes to image boundaries.
    :param boxes: [N, 4* num_classes]
    :param im_shape: tuple of 2
    :return: [N, 4* num_classes]
    
lib/bbox/bbox_transform.py