code: def readPredInfo(prediction_file: str) -> dict:
      """A wrapper of obj:``cityscapesscripts.evaluation.
  
      evalInstanceLevelSemanticLabeling.readPredInfo``.
      Args:
          prediction_file (str): The prediction txt file.
      Returns:
          dict: The processed prediction results.
      """
      if not HAS_CITYSCAPESAPI:
          raise RuntimeError(
              "Failed to import `cityscapesscripts`."
              "Please try to install official "
              "cityscapesscripts by "
              '"pip install cityscapesscripts"'
          )
      printError = CSEval.printError
  
      predInfo = {}
      if not os.path.isfile(prediction_file):
          printError(
              f"Infofile '{prediction_file}' "
              "for the predictions not found."
          )
      with open(prediction_file) as f:
          for line in f:
              splittedLine = line.split(" ")
              if len(splittedLine) != 3:
                  printError(
                      "Invalid prediction file. Expected content: "
                      "relPathPrediction1 labelIDPrediction1 "
                      "confidencePrediction1"
                  )
              if os.path.isabs(splittedLine[0]):
                  printError(
                      "Invalid prediction file. First entry in each "
                      "line must be a relative path."
                  )
  
              filename = os.path.join(
                  os.path.dirname(prediction_file), splittedLine[0]
              )
  
              imageInfo = {}
              imageInfo["labelID"] = int(float(splittedLine[1]))
              imageInfo["conf"] = float(splittedLine[2])  # type: ignore
              predInfo[filename] = imageInfo
  
      return predInfo
  
file_path: mmdetection/mmdet/evaluation/functional/cityscapes_utils.py
imports: import json
  import os
  import sys
  from pathlib import Path
  from typing import Optional, Union
  import mmcv
  import numpy
  from mmengine.fileio import get
label_desc: Use image node_id 4 for calling a global function with example usage: readPredInfo(prediction_file) and returns: predInfo