class_docstr: The roi track head.
  
  This module is used in multi-object tracking methods, such as MaskTrack
  R-CNN.
  
  Args:
      roi_extractor (dict): Configuration of roi extractor. Defaults to None.
      embed_head (dict): Configuration of embed head. Defaults to None.
      train_cfg (dict): Configuration when training. Defaults to None.
      test_cfg (dict): Configuration when testing. Defaults to None.
      init_cfg (dict): Configuration of initialization. Defaults to None.
class_docstr_tok: ["The","roi","track","head",".","This","module","is","used","in","multi-object","tracking","methods",",","such","as","MaskTrack","R-CNN",".","Args",":","roi_extractor","(","dict",")",":","Configuration","of","roi","extractor",".","Defaults","to","None",".","embed_head","(","dict",")",":","Configuration","of","embed","head",".","Defaults","to","None",".","train_cfg","(","dict",")",":","Configuration","when","training",".","Defaults","to","None",".","test_cfg","(","dict",")",":","Configuration","when","testing",".","Defaults","to","None",".","init_cfg","(","dict",")",":","Configuration","of","initialization",".","Defaults","to","None","."]
docstr: bool: whether the multi-object tracker has an embed head
docstr_tok: ["bool",":","whether","the","multi-object","tracker","has","an","embed","head"]
code: def with_track(self) -> bool:
      """bool: whether the multi-object tracker has an embed head"""
      return hasattr(self, "embed_head") and self.embed_head is not None
  
file_path: mmdetection/mmdet/models/tracking_heads/roi_track_head.py
imports: from abc import ABCMeta
  from typing import List, Optional, Tuple
  from mmengine.model import BaseModule
  from torch import Tensor
  from mmdet.registry import MODELS, TASK_UTILS
  from mmdet.structures import TrackSampleList
  from mmdet.structures.bbox import bbox2roi
  from mmdet.utils import InstanceList
label_desc: Use image node_id 4 for calling the RoITrackHead obj's underlying member method code with example usage: obj.with_track() and returns: unknown