code: def iterate(self):
      for image_id in self._get_record_names():
          if self._stop_iteration():
              return
  
          try:
              annotation_path = f"datasets/annotations/{image_id}.xml"
              annotation = read_xml(annotation_path)
  
              image = read_image(annotation["path"])
          except tf.errors.NotFoundError:
              tf.logging.debug(
                  f"Error reading image or annotation for '{image_id}'."
              )
              self.errors += 1
  
              continue
  
          gt_boxes = list()
  
          for obj in annotation["object"]:
              try:
                  label_id = self.classes.index(obj["name"])
              except ValueError:
                  continue
  
              gt_boxes.append(
                  {
                      "label": label_id,
                      "xmin": obj["bndbox"]["xmin"],
                      "ymin": obj["bndbox"]["ymin"],
                      "xmax": obj["bndbox"]["xmax"],
                      "ymax": obj["bndbox"]["ymax"],
                  }
              )
  
          if len(gt_boxes) == 0:
              continue
  
          self.yielded_records += 1
  
          yield {
              "width": annotation["size"]["width"],
              "height": annotation["size"]["height"],
              "depth": annotation["size"]["depth"],
              "filename": annotation["filename"],
              "image_raw": image,
              "gt_boxes": gt_boxes,
          }
  
imports: import os
  import yaml
  import json
  import subprocess
  import shlex
  import time
  import tensorflow
  from luminoth.tools.dataset.readers.object_detection import ObjectDetectionReader
  from luminoth.tools.dataset.writers.object_detection_writer import ObjectDetectionWriter
  from luminoth.tools.checkpoint import get_checkpoint_config
  from luminoth.utils.dataset import read_xml, read_image
  from luminoth.utils.config import get_config
  from luminoth.utils.predicting import PredictorNetwork
  from luminoth.train import run
  from luminoth.predict import predict_image
  from serpent.machine_learning.object_recognition.object_recognizer import ObjectRecognizer
  from serpent.utilities import SerpentError
label_desc: Use image node_id 5 for calling the LabelImgReader obj's underlying member method code with example usage: obj.iterate() without return types