code: def make_output_path(output_dir, image_path, flatten=False):
      """Compute the output path for a debug image."""
  
      # If the output hierarchy is flattened to a single folder, throw away all leading folders.
      if flatten:
          path = os.path.basename(image_path)
  
      # Otherwise, make sure absolute paths are taken relative to the filesystem root.
      else:
          # Make sure to drop drive letters on Windows, otherwise relpath wil fail.
          _, path = os.path.splitdrive(image_path)
          if os.path.isabs(path):
              path = os.path.relpath(path, "/")
  
      # In all cases, append "_debug" to the filename, before the extension.
      base, extension = os.path.splitext(path)
      path = base + "_debug" + extension
  
      # Finally, join the whole thing to the output directory.
      return os.path.join(output_dir, path)
  
file_path: ImageAI/imageai_tf_deprecated/Detection/keras_retinanet/bin/debug.py
imports: import argparse
  import os
  import sys
  import cv2
  from ..preprocessing.pascal_voc import PascalVocGenerator
  from ..preprocessing.csv_generator import CSVGenerator
  from ..preprocessing.kitti import KittiGenerator
  from ..preprocessing.open_images import OpenImagesGenerator
  from ..utils.anchors import anchors_for_shape, compute_gt_annotations
  from ..utils.config import read_config_file, parse_anchor_parameters, parse_pyramid_levels
  from ..utils.image import random_visual_effect_generator
  from ..utils.tf_version import check_tf_version
  from ..utils.transform import random_transform_generator
  from ..utils.visualization import draw_annotations, draw_boxes, draw_caption
label_desc: Use image node_id 4 for calling a global function with example usage: make_output_path(output_dir, image_path, flatten) and returns: os