class_docstr: A class to process & decode inputs/outputs of a fastrcnn classification+regression head.
docstr: Returns: N ints 
docstr_tok: ["Returns",":","N","ints"]
code: def predicted_labels(self):
      """Returns: N ints"""
      return tf.argmax(
          self.label_logits, axis=1, name="predicted_labels"
      )
  
imports: import tensorflow
  from tensorpack import tfv1
  from tensorpack.models import Conv2D, FullyConnected, layer_register
  from tensorpack.tfutils.argscope import argscope
  from tensorpack.tfutils.scope_utils import under_name_scope
  from tensorpack.tfutils.summary import add_moving_summary
  from tensorpack.utils.argtools import memoized_method
  from config import config
  from utils.box_ops import pairwise_iou
  from .model_box import decode_bbox_target, encode_bbox_target
  from .backbone import GroupNorm
label_desc: Use image node_id 10 for calling the FastRCNNHead obj's underlying member method code with example usage: obj.predicted_labels() and returns: tf