code: def load_annotations(self, image_index):
      image_annotations = self.annotations[
          self.id_to_image_id[image_index]
      ]
  
      labels = image_annotations["boxes"]
      height, width = image_annotations["h"], image_annotations["w"]
  
      annotations = {
          "labels": np.empty((len(labels),)),
          "bboxes": np.empty((len(labels), 4)),
      }
      for idx, ann in enumerate(labels):
          cls_id = ann["cls_id"]
          x1 = ann["x1"] * width
          x2 = ann["x2"] * width
          y1 = ann["y1"] * height
          y2 = ann["y2"] * height
  
          annotations["bboxes"][idx, 0] = x1
          annotations["bboxes"][idx, 1] = y1
          annotations["bboxes"][idx, 2] = x2
          annotations["bboxes"][idx, 3] = y2
          annotations["labels"][idx] = cls_id
  
      return annotations
  
imports: import csv
  import json
  import os
  import warnings
  import numpy
  from PIL import Image
  from .generator import Generator
  from ..utils.image import read_image_bgr
label_desc: Use image node_id 12 for calling the OpenImagesGenerator obj's underlying member method code with example usage: obj.load_annotations(image_index) and returns: annotations