code: def __init__(
      self,
      *,
      crop_size,
      resize_size,
      mean=(0.43216, 0.394666, 0.37645),
      std=(0.22803, 0.22145, 0.216989),
  ):
      self.transforms = transforms.Compose(
          [
              transforms.ConvertImageDtype(torch.float32),
              # We hard-code antialias=False to preserve results after we changed
              # its default from None to True (see
              # https://github.com/pytorch/vision/pull/7160)
              # TODO: we could re-train the video models with antialias=True?
              transforms.Resize(resize_size, antialias=False),
              transforms.Normalize(mean=mean, std=std),
              transforms.CenterCrop(crop_size),
              ConvertBCHWtoCBHW(),
          ]
      )
  
file_path: vision/references/video_classification/presets.py
imports: import torch
  from torchvision.transforms import transforms
  from transforms import ConvertBCHWtoCBHW
label_desc: Use image node_id 1 to create a new VideoClassificationPresetEval object  with example: obj = VideoClassificationPresetEval()