code: def initialize(self):
      self.load_plans_file()
      self.process_plans(self.plans)
      self.setup_DA_params()
      self.folder_with_preprocessed_data = os.path.join(
          self.dataset_directory,
          self.plans["data_identifier"] + "_stage%d" % self.stage,
      )
      if (
          len(
              glob.glob(
                  os.path.join(
                      self.folder_with_preprocessed_data, "*.npy"
                  )
              )
          )
          <= 0
      ):
          self.unpack_data = False
          print("unpacking dataset")
          unpack_dataset(
              self.folder_with_preprocessed_data,
              threads=self.num_threads,
          )
          print("done")
      else:
          print("found unpacked dataset.")
  
      dl_tr, dl_val = self.get_basic_generators()
      tr_gen, val_gen = get_moreDA_augmentation(
          dl_tr,
          dl_val,
          self.data_aug_params["patch_size_for_spatialtransform"],
          self.data_aug_params,
          deep_supervision_scales=self.deep_supervision_scales,
          pin_memory=self.pin_memory,
          use_multi_augmenter=self.use_multi_augmenter,
      )
      if self.mode == "train":
          self.gen = tr_gen
      else:
          self.gen = val_gen
  
imports: import os
  import pickle
  import glob
  import json
  import numpy
  from multiprocessing import Pool
  from collections import OrderedDict
  from sklearn.model_selection import KFold
  from typing import List
  from medicalseg.datasets import MedicalDataset
  from medicalseg.cvlibs import manager
  from nnunet.transforms import get_moreDA_augmentation, default_2D_augmentation_params, default_3D_augmentation_params
  from nnunet.transforms import rotate_coords_3d, rotate_coords_2d, NumpyToTensor
  from .dataloader import DataLoader2D, DataLoader3D
  from tools.preprocess_utils import verify_dataset_integrity, convert_to_decathlon, crop, ExperimentPlanner2D_v21, ExperimentPlanner3D_v21, DatasetAnalyzer
label_desc: Use image node_id 6 for calling the MSDDataset obj's underlying member method code with example usage: obj.initialize() without return types