def decoded_output_boxes(self):
        """ Returns: N x #class x 4 """
        anchors = tf.tile(tf.expand_dims(self.proposals.boxes, 1),
                          [1, cfg.DATA.NUM_CLASS, 1])   # N x #class x 4
        decoded_boxes = decode_bbox_target(
            self.box_logits / self.bbox_regression_weights,
            anchors
        )
        return decoded_boxes
def decoded_output_boxes ( self ) : anchors = tf . tile ( tf . expand_dims ( self . proposals . boxes , 1 ) , [ 1 , cfg . DATA . NUM_CLASS , 1 ] ) decoded_boxes = decode_bbox_target ( self . box_logits / self . bbox_regression_weights , anchors ) return decoded_boxes
Returns: N x #class x 4