code: def __init__(
      self,
      task_loc_spine: InferTask,
      task_loc_vertebra: InferTask,
      task_seg_vertebra: InferTask,
      type=InferType.SEGMENTATION,
      description="Combines three stages for vertebra segmentation",
      **kwargs,
  ):
      self.task_loc_spine = task_loc_spine
      self.task_loc_vertebra = task_loc_vertebra
      self.task_seg_vertebra = task_seg_vertebra
  
      super().__init__(
          path=None,
          network=None,
          type=type,
          labels=task_seg_vertebra.labels,
          dimension=task_seg_vertebra.dimension,
          description=description,
          load_strict=False,
          **kwargs,
      )
  
imports: import copy
  import logging
  import time
  from typing import Callable, Sequence
  import torch
  from tqdm import tqdm
  from monailabel.interfaces.tasks.infer_v2 import InferTask, InferType
  from monailabel.interfaces.utils.transform import run_transforms
  from monailabel.tasks.infer.basic_infer import BasicInferTask
  from monailabel.transform.post import Restored
  from monailabel.transform.writer import Writer
  from monailabel.utils.others.generic import name_to_device
label_desc: Use image node_id 1 to create a new InferVertebraPipeline object from inherited base classes: BasicInferTask with example: obj = InferVertebraPipeline(task_loc_spine, task_loc_vertebra, task_seg_vertebra, type, description)