docstr: Returns:
      Nx#classx4
docstr_tok: ["Returns",":","Nx","#","classx4"]
code: def decoded_output_boxes(self):
      """
      Returns:
          Nx#classx4
      """
      ret = self._cascade_boxes[-1]
      ret = tf.expand_dims(ret, 1)  # class-agnostic
      return tf.tile(ret, [1, self.num_categories + 1, 1])
  
file_path: tensorpack/examples/FasterRCNN/modeling/model_cascade.py
imports: import tensorflow
  from tensorpack.tfutils import get_current_tower_context
  from config import config
  from utils.box_ops import pairwise_iou, area
  from .model_box import clip_boxes
  from .model_frcnn import BoxProposals, FastRCNNHead, fastrcnn_outputs
label_desc: Use image node_id 5 for calling the CascadeRCNNHead obj's underlying member method code with example usage: obj.decoded_output_boxes() and returns: tf