code: def per_sample_transform(self) -> Callable:
      per_sample_transform = [CenterCrop(self.image_size)]
  
      return ApplyToKeys(
          DataKeys.INPUT,
          Compose(
              [
                  UniformTemporalSubsample(self.temporal_sub_sample),
                  normalize,
              ]
              + per_sample_transform
          ),
      )
  
file_path: lightning-flash/src/flash/video/classification/input_transform.py
imports: from dataclasses import dataclass
  from typing import Callable
  import torch
  from torch import Tensor
  from flash.core.data.io.input import DataKeys
  from flash.core.data.io.input_transform import InputTransform
  from flash.core.data.transforms import ApplyToKeys
  from flash.core.utilities.imports import _KORNIA_AVAILABLE, _PYTORCHVIDEO_AVAILABLE, requires
label_desc: Use image node_id 1 for calling the VideoClassificationInputTransform obj's underlying member method code with example usage: obj.per_sample_transform() and returns: ApplyToKeys