class_docstr: Process for executing TFLite inference.
class_docstr_tok: ["Process","for","executing","TFLite","inference","."]
code: def run(self):
      self.setup()
      while True:
          task = self._task_queue.get()
          if task is None:
              self._task_queue.task_done()
              return
          task(self._model)
          self._task_queue.task_done()
          self._result_queue.put(task)
  
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 3 for calling the TfLiteWorker obj's underlying member method code with example usage: obj.run() without return types