code: def normalize(image: np.ndarray) -> np.ndarray:
      """
      Normalize the image to the given mean and standard deviation
      """
      image = image.astype(np.float32)
      mean = (0.485, 0.456, 0.406)
      std = (0.229, 0.224, 0.225)
      image /= 255.0
      image -= mean
      image /= std
      return image
  
file_path: deep-learning-for-image-processing/deploying_service/deploying_pytorch/convert_openvino/convert_resnet34/compare_fps.py
imports: import time
  import numpy
  import torch
  import onnxruntime
  import matplotlib.pyplot
  from openvino.runtime import Core
  from torchvision.models import resnet34
label_desc: Use image node_id 1 for calling a global function with example usage: normalize(image) and returns: image