code: def __init__(
      self,
      *,
      crop_size: int,
      resize_size: int = 256,
      mean: Tuple[float, ...] = (0.485, 0.456, 0.406),
      std: Tuple[float, ...] = (0.229, 0.224, 0.225),
      interpolation: InterpolationMode = InterpolationMode.BILINEAR,
      antialias: Optional[bool] = True,
  ) -> None:
      super().__init__()
      self.crop_size = [crop_size]
      self.resize_size = [resize_size]
      self.mean = list(mean)
      self.std = list(std)
      self.interpolation = interpolation
      self.antialias = antialias
  
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 ImageClassification object from inherited base classes: nn with example: obj = ImageClassification()