class_docstr: CamGear supports a diverse range of video streams which can handle/control video stream almost any IP/USB Cameras, multimedia video file format (upto 4k tested),
  any network stream URL such as http(s), rtp, rtsp, rtmp, mms, etc. It also supports Gstreamer's RAW pipelines.
  
  CamGear API provides a flexible, high-level multi-threaded wrapper around OpenCV's VideoCapture API with direct access to almost all of its available parameters.
  It relies on Threaded Queue mode for threaded, error-free and synchronized frame handling.
  
  CamGear internally implements `yt_dlp` backend class for seamlessly pipelining live video-frames and metadata from various streaming services like YouTube, Dailymotion,
  Twitch, and [many more ➶](https://github.com/yt-dlp/yt-dlp/blob/master/supportedsites.md#supported-sites)
docstr: Launches the internal *Threaded Frames Extractor* daemon.
  
  **Returns:** A reference to the CamGear class object.
code: def start(self):
      """
      Launches the internal *Threaded Frames Extractor* daemon.
  
      **Returns:** A reference to the CamGear class object.
      """
  
      self.__thread = Thread(
          target=self.__update, name="CamGear", args=()
      )
      self.__thread.daemon = True
      self.__thread.start()
      return self
  
file_path: vidgear/vidgear/gears/camgear.py
imports: import cv2
  import time
  import queue
  import logging
  from threading import Thread, Event
  from .helper import capPropId, logger_handler, check_CV_version, get_supported_resolution, check_gstreamer_support, import_dependency_safe, logcurr_vidgear_ver
label_desc: Use image node_id 2 for calling the CamGear obj's underlying member method code with example usage: obj.start() and returns: self