code: def __init__(
      self, *args, bbox_head: OptConfigType = None, **kwargs
  ) -> None:
      self.method = 0
      self.num_query_one2one = bbox_head["num_query_one2one"]
      super(HDINO, self).__init__(*args, bbox_head=bbox_head, **kwargs)
  
file_path: mmdetection/projects/HDINO/h_dino.py
imports: from typing import Tuple
  import torch
  from torch import Tensor, nn
  from torch.nn.init import normal_
  from mmdet.models.detectors import DINO, DeformableDETR
  from mmdet.models.detectors.deformable_detr import MultiScaleDeformableAttention
  from mmdet.registry import MODELS
  from mmdet.structures import OptSampleList
  from mmdet.utils import OptConfigType
label_desc: Use image node_id 1 to create a new HDINO object from inherited base classes: DINO with example: obj = HDINO()