class_docstr: boxes (FS x FS x NA x 4): The anchor boxes.
  gt_labels (FS x FS x NA):
  gt_boxes (FS x FS x NA x 4): Groundtruth boxes corresponding to each anchor.
class_docstr_tok: ["boxes","(","FS","x","FS","x","NA","x","4",")",":","The","anchor","boxes",".","gt_labels","(","FS","x","FS","x","NA",")",":","gt_boxes","(","FS","x","FS","x","NA","x","4",")",":","Groundtruth","boxes","corresponding","to","each","anchor","."]
code: def decode_logits(self, logits):
      return decode_bbox_target(logits, self.boxes)
  
file_path: tensorpack/examples/FasterRCNN/modeling/model_box.py
imports: import numpy
  import tensorflow
  from collections import namedtuple
  from tensorpack.tfutils.scope_utils import under_name_scope
  from config import config
label_desc: Use image node_id 2 for calling the RPNAnchors obj's underlying member method code with example usage: obj.decode_logits(logits) and returns: decode_bbox_target