code: def __call__(self, data):
      d = dict(data)
      meta_dict = (
          d[self.ref_image].meta
          if isinstance(d[self.ref_image], MetaTensor)
          else d[f"{self.ref_image}_{self.meta_key_postfix}"]
      )
  
      for key, mode, align_corners in self.key_iterator(
          d, self.mode, self.align_corners
      ):
          image = d[key]
  
          # Undo Resize
          current_shape = image.shape
          cropped_shape = meta_dict[self.cropped_shape_key]
          if np.any(np.not_equal(current_shape, cropped_shape)):
              resizer = Resize(
                  spatial_size=cropped_shape[1:], mode=mode
              )
              image = resizer(
                  image, mode=mode, align_corners=align_corners
              )
  
          # Undo Crop
          original_shape = meta_dict[self.original_shape_key][1:]
          result = np.zeros(original_shape, dtype=np.float32)
          box_start = meta_dict[self.start_coord_key]
          box_end = meta_dict[self.end_coord_key]
  
          spatial_dims = min(len(box_start), len(image.shape[1:]))
          slices = [
              slice(s, e)
              for s, e in zip(
                  box_start[:spatial_dims], box_end[:spatial_dims]
              )
          ]
          slices = tuple(slices)
          result[slices] = (
              image.array if isinstance(image, MetaTensor) else image
          )
  
          d[key] = result
      return d
  
imports: import json
  import logging
  from typing import Callable, Dict, Hashable, List, Optional, Sequence, Union
  import numpy
  import torch
  from monai.config import IndexSelection, KeysCollection
  from monai.data import MetaTensor
  from monai.transforms import MapTransform, Randomizable, Resize, SpatialCrop, generate_spatial_bounding_box, is_positive
  from monai.utils import InterpolateMode, PostFix, ensure_tuple_rep
  from scipy.ndimage import distance_transform_cdt, gaussian_filter
  from skimage import measure
label_desc: Use image node_id 2 for calling the RestoreLabeld obj's underlying member method code with example usage: obj.__call__(data) and returns: d