def distance2bbox(points, distance, max_shape=None):
    """Decode distance prediction to bounding box.
        Args:
            points (Tensor): Shape (n, 2), [x, y].
            distance (Tensor): Distance from the given point to 4
                boundaries (left, top, right, bottom).
            max_shape (tuple): Shape of the image.
        Returns:
            Tensor: Decoded bboxes.
        """
    x1 = points[:, 0] - distance[:, 0]
    y1 = points[:, 1] - distance[:, 1]
    x2 = points[:, 0] + distance[:, 2]
    y2 = points[:, 1] + distance[:, 3]
    if max_shape is not None:
        x1 = x1.clip(min=0, max=max_shape[1])
        y1 = y1.clip(min=0, max=max_shape[0])
        x2 = x2.clip(min=0, max=max_shape[1])
        y2 = y2.clip(min=0, max=max_shape[0])
    return paddle.stack([x1, y1, x2, y2], -1)
Decode distance prediction to bounding box.
        Args:
            points (Tensor): Shape (n, 2), [x, y].
            distance (Tensor): Distance from the given point to 4
                boundaries (left, top, right, bottom).
            max_shape (tuple): Shape of the image.
        Returns:
            Tensor: Decoded bboxes.
        
ppdet/modeling/bbox_utils.py