class_docstr: Base class for semi-supervised detectors.
  
  Semi-supervised detectors typically consisting of a teacher model
  updated by exponential moving average and a student model updated
  by gradient descent.
  
  Args:
      detector (:obj:`ConfigDict` or dict): The detector config.
      semi_train_cfg (:obj:`ConfigDict` or dict, optional):
          The semi-supervised training config.
      semi_test_cfg (:obj:`ConfigDict` or dict, optional):
          The semi-supervised testing config.
      data_preprocessor (:obj:`ConfigDict` or dict, optional): Config of
          :class:`DetDataPreprocessor` to process the input data.
          Defaults to None.
      init_cfg (:obj:`ConfigDict` or list[:obj:`ConfigDict`] or dict or
          list[dict], optional): Initialization config dict.
          Defaults to None.
code: def __init__(
      self,
      detector: ConfigType,
      semi_train_cfg: OptConfigType = None,
      semi_test_cfg: OptConfigType = None,
      data_preprocessor: OptConfigType = None,
      init_cfg: OptMultiConfig = None,
  ) -> None:
      super().__init__(
          data_preprocessor=data_preprocessor, init_cfg=init_cfg
      )
      self.student = MODELS.build(detector)
      self.teacher = MODELS.build(detector)
      self.semi_train_cfg = semi_train_cfg
      self.semi_test_cfg = semi_test_cfg
      if self.semi_train_cfg.get("freeze_teacher", True) is True:
          self.freeze(self.teacher)
  
imports: import copy
  from typing import Dict, List, Optional, Tuple, Union
  import torch
  import torch.nn
  from torch import Tensor
  from mmdet.models.utils import filter_gt_instances, rename_loss_dict, reweight_loss_dict
  from mmdet.registry import MODELS
  from mmdet.structures import SampleList
  from mmdet.structures.bbox import bbox_project
  from mmdet.utils import ConfigType, OptConfigType, OptMultiConfig
  from .base import BaseDetector
label_desc: Use image node_id 1 to create a new SemiBaseDetector object from inherited base classes: BaseDetector with example: obj = SemiBaseDetector(detector, semi_train_cfg, semi_test_cfg, data_preprocessor, init_cfg)