code: def __getitem__(self, index):
      ann = copy.deepcopy(self.annotation[index])
      ann["captions"] = ann["data"]
      del ann["data"]
  
      for modality in self.modalities:
          ann[f"{modality}_path"] = getattr(
              self, f"get_{modality}_path"
          )(ann["sample_id"])
          if (
              type(ann[f"{modality}_path"]) == list
          ):  # select from image views
              ann[f"{modality}_path"] = random.choice(
                  ann[f"{modality}_path"]
              )
          if "image" in modality:
              ann["image"] = self.vis_processor(
                  Image.open(ann[f"images_path"])
              )
          else:
              ann[modality] = getattr(self, f"{modality}_processor")(
                  ann[f"{modality}_path"]
              ).to(torch.float32)
      return ann
  
imports: import os, sys
  from collections import OrderedDict
  import random
  from lavis.datasets.datasets.base_dataset import BaseDataset
  from lavis.common.utils import is_serializable
  from PIL import Image
  import numpy
  from tqdm import tqdm
  import json
  import torch
  import copy
label_desc: Use image node_id 8 for calling the Object3dCaptionDataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: ann