code: def predict_load_data(
      self,
      paths: Union[str, List[str]],
      parser: Optional[Type["Parser"]] = None,
  ) -> List[Dict[str, Any]]:
      paths = list_valid_files(
          paths, valid_extensions=IMG_EXTENSIONS + NP_EXTENSIONS
      )
      return [{DataKeys.INPUT: path} for path in paths]
  
file_path: lightning-flash/src/flash/core/integrations/icevision/data.py
imports: import inspect
  from typing import Any, Callable, Dict, List, Optional, Type, Union
  import numpy
  from flash.core.data.io.input import DataKeys, Input
  from flash.core.data.utilities.loading import IMG_EXTENSIONS, NP_EXTENSIONS, load_image
  from flash.core.data.utilities.paths import list_valid_files
  from flash.core.integrations.icevision.transforms import from_icevision_record
  from flash.core.utilities.imports import _ICEVISION_AVAILABLE, requires
label_desc: Use image node_id 2 for calling the IceVisionInput obj's underlying member method code with example usage: obj.predict_load_data(paths, parser) and returns: unknown