def _get_DINO_transform(image_size: Tuple = (224, 224)) -> Any:
    """gets the preprocessing transform for dino models

    Args:
        image_size (Tuple, optional): The final size of the image before going to the model

    Returns:
        Any: _description_
    """
    
    # do not modify these unless you know exactly what you are doing!
    IMG_MEAN = (0.485, 0.456, 0.406)
    IMG_STD = (0.229, 0.224, 0.225)

    return pth_transforms.Compose([
    pth_transforms.Resize(image_size),
    pth_transforms.ToTensor(),
    pth_transforms.Normalize(IMG_MEAN, IMG_STD),
    ])
gets the preprocessing transform for dino models

    Args:
        image_size (Tuple, optional): The final size of the image before going to the model

    Returns:
        Any: _description_
    
src/marqo/s2_inference/processing/DINO_utils.py