code: def bbox_transform(pbox, anchor, downsample):
      pbox = decode_yolo(pbox, anchor, downsample)
      pbox = xywh2xyxy(pbox)
      return pbox
  
file_path: PaddleDetection/ppdet/modeling/losses/yolo_loss.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from ppdet.core.workspace import register
  from ..bbox_utils import decode_yolo, xywh2xyxy, batch_iou_similarity
label_desc: Use image node_id 1 for calling a global function with example usage: bbox_transform(pbox, anchor, downsample) and returns: pbox