class_docstr: python -m pytorch_toolbelt.datasets.providers.inria_aerial inria_dataset
code: def compress_prediction_mask(
      cls, predicted_mask_fname, compressed_mask_fname
  ):
      command = (
          "gdal_translate --config GDAL_PAM_ENABLED NO -co COMPRESS=CCITTFAX4 -co NBITS=1 "
          + predicted_mask_fname
          + " "
          + compressed_mask_fname
      )
      subprocess.call(command, shell=True)
  
imports: import os
  import subprocess
  import warnings
  from pathlib import Path
  from typing import Union, Optional, Tuple
  import hashlib
  import numpy
  import pandas
  import torch
  import zipfile
  from sklearn.model_selection import GroupKFold
  from pytorch_toolbelt.utils import fs
label_desc: Use image node_id 5 for calling the InriaAerialImageDataset obj's underlying member method code with example usage: obj.compress_prediction_mask(cls, predicted_mask_fname, compressed_mask_fname) without return types