code: def save_ovd_result_df(
      pred: Iterable,
      data: Union[pd.DataFrame, Dict],
      result_path: Optional[str] = None,
  ):
      """
      Saving detection results in pd.DataFrame format (per image)
  
      Parameters
      ----------
      pred
          List containing detection results for one image
      data
          pandas data frame or dict containing the image information to be tested
      result_path
          path to save result
      detection_classes
          all available classes for this detection
      Returns
      -------
      The detection results as pandas DataFrame
      """
      if isinstance(data, dict):
          image_names = data["image"]
      else:
          image_names = data["image"].to_list()
      results = []
  
      for image_pred, image_name in zip(pred, image_names):
          results.append([image_name, image_pred])
      result_df = pd.DataFrame(results, columns=["image", "bboxes"])
  
      if result_path:
          result_df.to_csv(result_path, index=False)
          logger.info(
              "Saved detection results to {}".format(result_path)
          )
      return result_df
  
imports: import logging
  from typing import Dict, Iterable, List, Optional, Union
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: save_ovd_result_df(pred, data, result_path) and returns: result_df