import tensorflow as tf

            self._score_summaries.update(self._anchor_targets)

        return rpn_labels

    def _proposal_target_layer(self, rois, roi_scores, name):
        with tf.variable_scope(name):
            # 这里的index是对于cfg.FLAGS.batch_size=256 而言
            # rois (0, x1, y1, x2, y2)，coming from RPN 然后再减少至256个
            # bbox_target (ndarray): N x 4K blob of regression targets
            # bbox_inside_weights (ndarray): N x 4K blob of loss weights
