class_docstr: The ``SemanticSegmentationData`` class is a :class:`~flash.core.data.data_module.DataModule` with a set of
  classmethods for loading data for semantic segmentation.
docstr: Setter method to switch on/off matplotlib to pop up windows.
docstr_tok: ["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, Collection, Dict, Optional, Sequence, Tuple, Type
  import numpy
  from torch import Tensor
  from flash.core.data.callback import BaseDataFetcher
  from flash.core.data.data_module import DataModule
  from flash.core.data.io.input import Input
  from flash.core.utilities.imports import _FIFTYONE_AVAILABLE, _SEGMENTATION_MODELS_AVAILABLE, lazy_import
  from flash.core.utilities.stages import RunningStage
  from flash.core.utilities.types import INPUT_TRANSFORM_TYPE
  from flash.image.segmentation.input import SemanticSegmentationFiftyOneInput, SemanticSegmentationFilesInput, SemanticSegmentationFolderInput, SemanticSegmentationNumpyInput, SemanticSegmentationTensorInput
  from flash.image.segmentation.input_transform import SemanticSegmentationInputTransform
  from flash.image.segmentation.viz import SegmentationMatplotlibVisualization
label_desc: Use image node_id 8 for calling the SemanticSegmentationData obj's underlying member method code with example usage: obj.set_block_viz_window(value) without return types