code: def __init__(
      self,
      model_dir,
      network,
      dimension,
      roi_size,
      model_size,
      max_train_interactions,
      max_val_interactions,
      description="Train Deepgrow Model",
      **kwargs,
  ):
      self._network = network
      self.dimension = dimension
      self.roi_size = roi_size
      self.model_size = model_size
      self.max_train_interactions = max_train_interactions
      self.max_val_interactions = max_val_interactions
  
      super().__init__(model_dir, description, **kwargs)
  
imports: import logging
  import os
  import pathlib
  import shutil
  from typing import Any, List
  import torch
  from monai.apps.deepgrow.dataset import create_dataset
  from monai.apps.deepgrow.interaction import Interaction
  from monai.apps.deepgrow.transforms import AddGuidanceSignald, AddInitialSeedPointd, AddRandomGuidanced, FindAllValidSlicesd, FindDiscrepancyRegionsd, SpatialCropForegroundd
  from monai.inferers import SimpleInferer
  from monai.losses import DiceLoss
  from monai.transforms import Activationsd, AsDiscreted, EnsureChannelFirstd, EnsureTyped, LoadImaged, NormalizeIntensityd, Resized, SelectItemsd, ToNumpyd, ToTensord
  from monailabel.interfaces.datastore import Datastore
  from monailabel.tasks.train.basic_train import BasicTrainTask, Context
label_desc: Use image node_id 1 to create a new Deepgrow object from inherited base classes: BasicTrainTask with example: obj = Deepgrow(model_dir, network, dimension, roi_size, model_size, max_train_interactions, max_val_interactions, description)