code: def prepare_img():
      url = "http://images.cocodataset.org/val2017/000000039769.jpg"
      im = Image.open(requests.get(url, stream=True).raw)
      return im
  
file_path: H2O/h2o_flexgen/benchmark/third_party/transformers/src/transformers/models/groupvit/convert_groupvit_nvlab_to_hf.py
imports: import argparse
  import torch
  from PIL import Image
  import requests
  from transformers import CLIPProcessor, GroupViTConfig, GroupViTModel
label_desc: Use image node_id 3 for calling a global function with example usage: prepare_img() and returns: im