class_docstr: Process for executing TFLite inference.
class_docstr_tok: ["Process","for","executing","TFLite","inference","."]
code: def __init__(self, model_path, task_queue, result_queue):
      multiprocessing.Process.__init__(self)
      self._model_path = model_path
      self._task_queue = task_queue
      self._result_queue = result_queue
      self._model = None
  
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 to create a new TfLiteWorker object from inherited base classes: multiprocessing with example: obj = TfLiteWorker(model_path, task_queue, result_queue)