code: def transforms(self, images: Union[str, np.ndarray]):
      transforms = T.Compose(
          [
              T.Resize((256, 256)),
              T.CenterCrop(224),
              T.Normalize(
                  mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]
              ),
          ],
          to_rgb=True,
      )
      return transforms(images).astype("float32")
  
imports: import os
  from typing import Union
  import paddle
  import paddle.nn
  import paddlehub.vision.transforms
  import numpy
  from paddlehub.module.module import moduleinfo
  from paddlehub.module.cv_module import ImageClassifierModule
label_desc: Use image node_id 4 for calling the RepVGG_B1G2 obj's underlying member method code with example usage: obj.transforms(images) and returns: transforms