code: def get_img_from_path(self, img_name):
      img_path = os.path.join(self.img_root, img_name)
  
      if self.input_mode == "grey":
          img = Image.open(img_path).convert("L")
      elif self.input_mode == "red":
          img = Image.open(img_path)
          img = img.split()[0]
  
      img = self.transform(img)
      return img
  
imports: from PIL import Image
  import os
  import torch.utils.data
  import torchvision.transforms
  from torch.utils.data.sampler import Sampler
  import numpy
label_desc: Use image node_id 4 for calling the Real_Dataset_112_paired obj's underlying member method code with example usage: obj.get_img_from_path(img_name) and returns: img