code: def postprocess(self, data: Dict[str, Any]) -> Dict[str, Any]:
      rows, cols = get_shape(data["image"])
  
      for data_name in self.data_fields:
          data[data_name] = self.filter(data[data_name], rows, cols)
          data[data_name] = self.check_and_convert(
              data[data_name], rows, cols, direction="from"
          )
  
      data = self.remove_label_fields_from_data(data)
      return data
  
imports: from __future__ import absolute_import
  from abc import ABC, abstractmethod
  from typing import Any, Dict, Optional, Sequence, Tuple
  import numpy
  from .serialization import Serializable
label_desc: Use image node_id 5 for calling the DataProcessor obj's underlying member method code with example usage: obj.postprocess(data) and returns: data