code: def normalize(image, mean=None, std=None):
      image = image / 255.0
      if mean is not None and std is not None:
          image = (image - mean) / std
      return np.moveaxis(image, 2, 0).astype(np.float32)
  
file_path: gradio/demo/musical_instrument_identification/data_setups.py
imports: import os
  import librosa
  import torch
  import numpy
  from torchaudio.transforms import Resample
label_desc: Use image node_id 4 for calling a global function with example usage: normalize(image, mean, std) and returns: np