code: def __init__(self, dboxes):
      super(PostProcess, self).__init__()
      # [num_anchors, 4] -> [1, num_anchors, 4]
      self.dboxes_xywh = nn.Parameter(
          dboxes(order="xywh").unsqueeze(dim=0), requires_grad=False
      )
      self.scale_xy = dboxes.scale_xy  # 0.1
      self.scale_wh = dboxes.scale_wh  # 0.2
  
      self.criteria = 0.5
      self.max_output = 100
  
imports: from math import sqrt
  import itertools
  import torch
  import torch.nn.functional
  from torch.jit.annotations import Tuple, List
  from torch import nn, Tensor
  import numpy
label_desc: Use image node_id 1 to create a new PostProcess object from inherited base classes: nn with example: obj = PostProcess(dboxes)