code: def __getitem__(self, index):
      img_path = self.root + self.data.iloc[index, 0] + ".jpg"
      img = Image.open(img_path).convert("RGB")
      # imghsv= Image.open(img_path).convert('HSV')
  
      label = self.data.iloc[index, 9]
  
      if self.transform is not None:
          img = self.transform(img)
          # imghsv = self.transform(imghsv)
  
      # img_6channel = np.vstack((img, imghsv))
  
      return img, label
  
imports: import torch
  from torchvision import transforms
  import torch.nn
  import pandas
  from PIL import Image
  import numpy
  import math
  import os
  import matplotlib.pyplot
  from aix360.algorithms.dipvae.dipvae_utils import VAE, DIPVAE
  from aix360.algorithms.dipvae import DIPVAEExplainer
  from aix360.algorithms.dipvae.dipvae_utils import plot_reconstructions, plot_latent_traversal
label_desc: Use image node_id 3 for calling the ISICImages obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  label