code: def __init__(
      self,
      mixed_selection=True,
      with_pos_coord=True,
      with_coord_feat=True,
      num_co_heads=1,
      **kwargs,
  ):
      self.mixed_selection = mixed_selection
      self.with_pos_coord = with_pos_coord
      self.with_coord_feat = with_coord_feat
      self.num_co_heads = num_co_heads
      super(CoDeformableDetrTransformer, self).__init__(**kwargs)
      self._init_layers()
  
imports: import math
  import warnings
  import torch
  import torch.nn
  from mmcv.cnn import build_norm_layer
  from mmcv.cnn.bricks.transformer import BaseTransformerLayer, TransformerLayerSequence, build_transformer_layer_sequence
  from mmcv.ops import MultiScaleDeformableAttention
  from mmengine.model import BaseModule
  from mmengine.model.weight_init import xavier_init
  from torch.nn.init import normal_
  from mmdet.models.layers.transformer import inverse_sigmoid
  from mmdet.registry import MODELS
label_desc: Use image node_id 1 to create a new CoDeformableDetrTransformer object from inherited base classes: DeformableDetrTransformer with example: obj = CoDeformableDetrTransformer(mixed_selection, with_pos_coord, with_coord_feat, num_co_heads)