code: def clip_process_images(images: torch.Tensor) -> torch.Tensor:
      min_size = min(images.shape[-2:])
      return T.Compose(
          [
              T.CenterCrop(
                  min_size
              ),  # TODO: this might affect the watermark, check this
              T.Resize(
                  224,
                  interpolation=T.InterpolationMode.BICUBIC,
                  antialias=True,
              ),
              T.Normalize(
                  (0.48145466, 0.4578275, 0.40821073),
                  (0.26862954, 0.26130258, 0.27577711),
              ),
          ]
      )(images)
  
file_path: generative-models/scripts/util/detection/nsfw_and_watermark_dectection.py
imports: import os
  import clip
  import numpy
  import torch
  import torchvision.transforms
  from PIL import Image
label_desc: Use image node_id 3 for calling a global function with example usage: clip_process_images(images) and returns: T