code: def plot():
      fig, axes = plt.subplots(2, 2, figsize=[12.8, 9.6])
      axes[0][0].imshow(yuv_to_rgb(original))
      axes[0][1].imshow(yuv_to_rgb(resized))
      axes[1][0].imshow(yuv_to_rgb(cropped))
      axes[1][1].imshow(yuv_to_rgb(cropped_and_resized))
  
      axes[0][0].set_title("Original")
      axes[0][1].set_title("Resized")
      axes[1][0].set_title("Cropped")
      axes[1][1].set_title("Cropped and resized")
      plt.tight_layout()
      return fig
  
imports: import torch
  import torchaudio
  import os
  import time
  import matplotlib.pyplot
  from torchaudio.io import StreamReader
  from torchaudio.utils import ffmpeg_utils
label_desc: Use image node_id 5 for calling a global function with example usage: plot() and returns: fig