code: def __init__(
      self,
      *,
      crop_size: Tuple[int, int],
      resize_size: Tuple[int, int],
      mean: Tuple[float, ...] = (0.43216, 0.394666, 0.37645),
      std: Tuple[float, ...] = (0.22803, 0.22145, 0.216989),
      interpolation: InterpolationMode = InterpolationMode.BILINEAR,
  ) -> None:
      super().__init__()
      self.crop_size = list(crop_size)
      self.resize_size = list(resize_size)
      self.mean = list(mean)
      self.std = list(std)
      self.interpolation = interpolation
  
imports: from typing import Optional, Tuple
  import torch
  from torch import nn, Tensor
  from .None import functional, InterpolationMode
label_desc: Use image node_id 1 to create a new VideoClassification object from inherited base classes: nn with example: obj = VideoClassification()