code: def create(
      self,
      initial_detection: "Detection",
      hit_counter_max: int,
      initialization_delay: int,
      pointwise_hit_counter_max: int,
      detection_threshold: float,
      period: int,
      filter_factory: "FilterFactory",
      past_detections_length: int,
      reid_hit_counter_max: Optional[int],
      coord_transformations: CoordinatesTransformation,
  ) -> "TrackedObject":
      obj = TrackedObject(
          obj_factory=self,
          initial_detection=initial_detection,
          hit_counter_max=hit_counter_max,
          initialization_delay=initialization_delay,
          pointwise_hit_counter_max=pointwise_hit_counter_max,
          detection_threshold=detection_threshold,
          period=period,
          filter_factory=filter_factory,
          past_detections_length=past_detections_length,
          reid_hit_counter_max=reid_hit_counter_max,
          coord_transformations=coord_transformations,
      )
      return obj
  
imports: from logging import warning
  from typing import Any, Callable, Hashable, List, Optional, Sequence, Tuple, Union
  import numpy
  from rich import print
  from norfair.camera_motion import CoordinatesTransformation
  from .distances import AVAILABLE_VECTORIZED_DISTANCES, ScalarDistance, get_distance_by_name
  from .filter import FilterFactory, OptimizedKalmanFilterFactory
  from .utils import validate_points
label_desc: Use image node_id 2 for calling the _TrackedObjectFactory obj's underlying member method code with example usage: obj.create(initial_detection, hit_counter_max, initialization_delay, pointwise_hit_counter_max, detection_threshold, period, filter_factory, past_detections_length, reid_hit_counter_max, coord_transformations) and returns: obj