class_docstr: A class to process & decode inputs/outputs of a fastrcnn classification+regression head.
docstr: Returns: Nx4 
docstr_tok: ["Returns",":","Nx4"]
code: def decoded_output_boxes_class_agnostic(self):
      """Returns: Nx4"""
      assert self._bbox_class_agnostic
      box_logits = tf.reshape(self.box_logits, [-1, 4])
      decoded = decode_bbox_target(
          box_logits / self.bbox_regression_weights,
          self.proposals.boxes,
      )
      return decoded
  
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 8 for calling the FastRCNNHead obj's underlying member method code with example usage: obj.decoded_output_boxes_class_agnostic() and returns: decoded