class_docstr: KITCHEN data loader
class_docstr_tok: ["KITCHEN","data","loader"]
code: def get_test(self):
      return BasicVideoDataset(
          root_path=self._data_path,
          annotationfile_path=self._test_list,
          num_segments=1,
          frames_per_segment=self._frames_per_segment,
          imagefile_template="frame_{:010d}.jpg"
          if self._image_modality in ["rgb"]
          else "flow_{}_{:010d}.jpg",
          transform=self._transform["test"],
          random_shift=False,
          test_mode=True,
          image_modality=self._image_modality,
          dataset_split="test",
          n_classes=self._n_classes,
      )
  
imports: import os
  from copy import deepcopy
  from enum import Enum
  import torch
  import kale.prepdata.video_transform
  from kale.loaddata.dataset_access import DatasetAccess
  from kale.loaddata.video_datasets import BasicVideoDataset, EPIC
label_desc: Use image node_id 2 for calling the KITCHENDatasetAccess obj's underlying member method code with example usage: obj.get_test() and returns: BasicVideoDataset