code: def __call__(self, data):
      d = dict(data)
  
      # load scribbles idx from labels_info (if available)
      self._set_scribbles_idx_from_labelinfo(d)
  
      # read relevant terms from data
      scribbles = self._fetch_data(d, self.scribbles)
      logger.info(f"Scribbles: {scribbles.shape}")
  
      # get any existing roi information and apply it to scribbles, skip otherwise
      selected_roi = d.get(self.roi_key, None)
      if selected_roi:
          mask = np.ones_like(scribbles).astype(bool)
          mask[
              :,
              selected_roi[0] : selected_roi[1],
              selected_roi[2] : selected_roi[3],
              selected_roi[4] : selected_roi[5],
          ] = 0
  
          # prune outside roi region as bg scribbles
          scribbles[mask] = self.scribbles_bg_label
  
          # if no foreground scribbles found, then add a scribble at center of roi
          if not np.any(scribbles == self.scribbles_fg_label):
              # issue a warning - the algorithm should still work
              logging.info(
                  f"warning: no foreground scribbles received with label {self.scribbles_fg_label}, "
                  + "adding foreground scribbles to ROI centre"
              )
              offset = 5
  
              cx = int((selected_roi[0] + selected_roi[1]) / 2)
              cy = int((selected_roi[2] + selected_roi[3]) / 2)
              cz = int((selected_roi[4] + selected_roi[5]) / 2)
  
              # add scribbles at center of roi
              scribbles[
                  :,
                  cx - offset : cx + offset,
                  cy - offset : cy + offset,
                  cz - offset : cz + offset,
              ] = self.scribbles_fg_label
  
      # return new scribbles
      d = self._save_data(d, self.scribbles, scribbles)
  
      return d
  
imports: import logging
  from copy import deepcopy
  from typing import Optional
  import numpy
  import torch
  from monai.data import MetaTensor
  from monai.networks.blocks import CRF
  from monai.transforms import Transform
  from scipy.special import softmax
  from .utils import make_iseg_unary, make_likelihood_image_gmm, make_likelihood_image_histogram, maxflow
label_desc: Use image node_id 2 for calling the AddBackgroundScribblesFromROId obj's underlying member method code with example usage: obj.__call__(data) and returns: d