class_docstr: The ``ImageClassificationData`` class is a :class:`~flash.core.data.data_module.DataModule` with a set of
  classmethods for loading data for image classification.
docstr: Setter method to switch on/off matplotlib to pop up windows.
code: def set_block_viz_window(self, value: bool) -> None:
      """Setter method to switch on/off matplotlib to pop up windows."""
      self.data_fetcher.block_viz_window = value
  
imports: from typing import Any, Callable, Collection, Dict, List, Optional, Sequence, Tuple, Type, Union
  import numpy
  import pandas
  from torch import Tensor
  from torch.utils.data import Dataset
  from flash.core.data.base_viz import BaseVisualization
  from flash.core.data.callback import BaseDataFetcher
  from flash.core.data.data_module import DataModule, DatasetInput
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.io.input_transform import INPUT_TRANSFORM_TYPE
  from flash.core.data.utilities.classification import TargetFormatter
  from flash.core.data.utilities.paths import PATH_TYPE
  from flash.core.integrations.labelstudio.input import LabelStudioImageClassificationInput, _parse_labelstudio_arguments
  from flash.core.utilities.imports import _FIFTYONE_AVAILABLE, _MATPLOTLIB_AVAILABLE, _TOPIC_IMAGE_AVAILABLE, Image, requires
  from flash.core.utilities.stages import RunningStage
  from flash.image.classification.input import ImageClassificationCSVInput, ImageClassificationDataFrameInput, ImageClassificationFiftyOneInput, ImageClassificationFilesInput, ImageClassificationFolderInput, ImageClassificationImageInput, ImageClassificationNumpyInput, ImageClassificationTensorInput
  from flash.image.classification.input_transform import ImageClassificationInputTransform
label_desc: Use image node_id 11 for calling the ImageClassificationData obj's underlying member method code with example usage: obj.set_block_viz_window(value) without return types