code: def load_image(self, img_filepath, grayscale=False):
      image = Image.open(img_filepath, "r")
      if not grayscale:
          image = image.convert("RGB")
      else:
          image = image.convert("L").point(
              lambda x: 0 if x < 128 else 1, "L"
          )
      return image
  
imports: import os, cv2, glob
  import numpy
  from PIL import Image
  import torch
  import torch.utils.data
  from torchvision import datasets, models, transforms
  from utils import read_masks, get_test_meta, get_nfold_split
  import augmentation
  from settings import *
label_desc: Use image node_id 4 for calling the ImageDataset obj's underlying member method code with example usage: obj.load_image(img_filepath, grayscale) and returns: image