code: def __getitem__(self, index):
      ann = self.annotation[index]
  
      image_path = os.path.join(self.image_root, ann["image"])
      image = Image.open(image_path).convert("RGB")
      image = self.transform(image)
  
      caption = self.prompt + pre_caption(
          ann["caption"], self.max_words
      )
  
      return image, caption, self.img_ids[ann["image_id"]]
  
file_path: blip/data/flickr30k_dataset.py
imports: import os
  import json
  from torch.utils.data import Dataset
  from torchvision.datasets.utils import download_url
  from PIL import Image
  from data.utils import pre_caption
label_desc: Use image node_id 3 for calling the flickr30k_train obj's underlying member method code with example usage: obj.__getitem__(index) and returns: image,  caption,  self