(boxes_np, scores_np, multiclass_scores_np, classes_np, keypoints_np,
         masks_np, num_detections_np) = sess.run(
             [boxes, scores, multiclass_scores, classes, keypoints, masks,
              num_detections],
             feed_dict={tf_example: tf_example_np})