code: def load_image(image_path, transform=None):
      image = Image.open(image_path).convert("RGB")
      image = image.resize([224, 224], Image.LANCZOS)
  
      if transform is not None:
          image = transform(image).unsqueeze(0)
  
      return image
  
file_path: pytorch-tutorial/tutorials/03-advanced/image_captioning/sample.py
imports: import torch
  import matplotlib.pyplot
  import numpy
  import argparse
  import pickle
  import os
  from torchvision import transforms
  from build_vocab import Vocabulary
  from model import EncoderCNN, DecoderRNN
  from PIL import Image
label_desc: Use image node_id 1 for calling a global function with example usage: load_image(image_path, transform) and returns: image