code: def result_collector(result_queue):
      """Collect and display results."""
  
      def notename(n, space):
          if space:
              return [
                  " ",
                  "  ",
                  " ",
                  " ",
                  "  ",
                  " ",
                  "  ",
                  " ",
                  " ",
                  "  ",
                  " ",
                  "  ",
              ][n % 12]
          return [
              Fore.BLUE + "A" + Style.RESET_ALL,
              Fore.LIGHTBLUE_EX + "A#" + Style.RESET_ALL,
              Fore.GREEN + "B" + Style.RESET_ALL,
              Fore.CYAN + "C" + Style.RESET_ALL,
              Fore.LIGHTCYAN_EX + "C#" + Style.RESET_ALL,
              Fore.RED + "D" + Style.RESET_ALL,
              Fore.LIGHTRED_EX + "D#" + Style.RESET_ALL,
              Fore.YELLOW + "E" + Style.RESET_ALL,
              Fore.WHITE + "F" + Style.RESET_ALL,
              Fore.LIGHTBLACK_EX + "F#" + Style.RESET_ALL,
              Fore.MAGENTA + "G" + Style.RESET_ALL,
              Fore.LIGHTMAGENTA_EX + "G#" + Style.RESET_ALL,
          ][
              n % 12
          ]  # + str(n//12)
  
      print("Listening to results..")
      # TODO(mtyka) Ensure serial stitching of results (no guarantee that
      # the blocks come in in order but they are all timestamped)
      while True:
          result = result_queue.get()
          serial = result.audio_chunk.serial
          result_roll = result.result
          if serial > 0:
              result_roll = result_roll[4:]
          for notes in result_roll:
              for i in range(6, len(notes) - 6):
                  note = notes[i]
                  is_frame = note[0] > 0.0
                  notestr = notename(i, not is_frame)
                  print(notestr, end="")
              print("|")
  
imports: import multiprocessing
  import threading
  from absl import app
  from absl import flags
  import attr
  from colorama import Fore
  from colorama import Style
  from magenta.models.onsets_frames_transcription.realtime import audio_recorder
  from magenta.models.onsets_frames_transcription.realtime import tflite_model
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: result_collector(result_queue) and returns: list, list