code: def __init__(
      self,
      image_size=224,
      mean=None,
      std=None,
  ):
      super().__init__(mean=mean, std=std)
  
      self.transform = transforms.Compose(
          [
              transforms.Resize(
                  image_size, interpolation=InterpolationMode.BICUBIC
              ),
              transforms.CenterCrop(image_size),
              transforms.ToTensor(),
              self.normalize,
          ]
      )
  
file_path: lavis/lavis/processors/blip_diffusion_processors.py
imports: from omegaconf import OmegaConf
  from torchvision import transforms
  from torchvision.transforms.functional import InterpolationMode
  from lavis.common.registry import registry
  from lavis.processors.base_processor import BaseProcessor
  from lavis.processors.blip_processors import BlipImageBaseProcessor
label_desc: Use image node_id 1 to create a new BlipDiffusionInputImageProcessor object from inherited base classes: BlipImageBaseProcessor with example: obj = BlipDiffusionInputImageProcessor(image_size, mean, std)