class_docstr: This is an auxiliary class that enables Video Stabilization for vidgear with minimalistic latency, and at the expense
  of little to no additional computational requirements.
  
  The basic idea behind it is to tracks and save the salient feature array for the given number of frames and then uses
  these anchor point to cancel out all perturbations relative to it for the incoming frames in the queue. This class relies
  heavily on **Threaded Queue mode** for error-free & ultra-fast frame handling.
docstr: Cleans Stabilizer resources
code: def clean(self):
      """
      Cleans Stabilizer resources
      """
      # check if deque present
      if self.__frame_queue:
          # clear frame deque
          self.__frame_queue.clear()
          # clear frame indexes deque
          self.__frame_queue_indexes.clear()
  
file_path: vidgear/vidgear/gears/stabilizer.py
imports: import cv2
  import numpy
  import logging
  from collections import deque
  from .helper import logger_handler, check_CV_version, retrieve_best_interpolation, logcurr_vidgear_ver
label_desc: Use image node_id 6 for calling the Stabilizer obj's underlying member method code with example usage: obj.clean() without return types