code: def __init__(
      self,
      normalization_scheme_per_modality,
      use_nonzero_mask,
      transpose_forward: (tuple, list),
      intensityproperties=None,
  ):
      super(PreprocessorFor2D, self).__init__(
          normalization_scheme_per_modality,
          use_nonzero_mask,
          transpose_forward,
          intensityproperties,
      )
  
imports: import pickle
  import os
  import numpy
  from collections import OrderedDict
  from scipy.ndimage.interpolation import map_coordinates
  from multiprocessing.pool import Pool
  from skimage.transform import resize
  from .image_crop import get_case_identifier_from_npz, ImageCropper
  from .path_utils import join_paths
label_desc: Use image node_id 1 to create a new PreprocessorFor2D object from inherited base classes: GenericPreprocessor with example: obj = PreprocessorFor2D(normalization_scheme_per_modality, use_nonzero_mask, transpose_forward, intensityproperties)