code: def __init__(
      self,
      num_classes=80,
      hidden_dim=512,
      nhead=8,
      num_mlp_layers=3,
      loss="DETRLoss",
  ):
      super(DeformableDETRHead, self).__init__()
      self.num_classes = num_classes
      self.hidden_dim = hidden_dim
      self.nhead = nhead
      self.loss = loss
  
      self.score_head = nn.Linear(hidden_dim, self.num_classes)
      self.bbox_head = MLP(
          hidden_dim,
          hidden_dim,
          output_dim=4,
          num_layers=num_mlp_layers,
      )
  
      self._reset_parameters()
  
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
  import pycocotools.mask
  from ..initializer import linear_init_, constant_
  from ..transformers.utils import inverse_sigmoid
label_desc: Use image node_id 1 to create a new DeformableDETRHead object from inherited base classes: nn with example: obj = DeformableDETRHead(num_classes, hidden_dim, nhead, num_mlp_layers, loss)