old_contents: # a minimal tracking script - this will start all peer
  # services and attach everything appropriately
  # change parameters depending on your pan tilt, pins and
  # Arduino details
  # all commented code is not necessary but allows custom
  # options
  
  port = "COM19"   #change COM port to your own port
  xServoPin = 13   #change this to the right servo pin if needed, for inmoov this is right
  yServoPin = 12   #change this to the right servo pin if needed, for inmoov this is right
  
  # create a servo controller and a servo
  arduino = Runtime.start("arduino","Arduino")
  xServo = Runtime.start("xServo","Servo")
  yServo = Runtime.start("yServo","Servo")
  
  # start optional virtual arduino service, used for test
  #virtual=1
  if ('virtual' in globals() and virtual):
      virtualArduino = Runtime.start("virtualArduino", "VirtualArduino")
      virtualArduino.connect(port)
  
  arduino.connect(port)
  xServo.attach(arduino.getName(), xServoPin)
  yServo.attach(arduino.getName(), yServoPin)
  
  tracker = Runtime.start("tracker", "Tracking")
  
  opencv=tracker.getOpenCV()
  
  # set specifics on each Servo
  xServo.setMinMax(30, 150)  #minimum and maximum settings for the X servo
  # servoX.setInverted(True) # invert if necessary
  
  xServo.setMinMax(30, 150)  #minimum and maximum settings for the Y servo
  # servoY.setInverted(True) # invert if necessary
  
  # changing Pid values change the 
  # speed and "jumpyness" of the Servos
  pid = tracker.getPID()
  
  # these are default setting
  # adjust to make more smooth
  # or faster
  
  pid.setPID("x",5.0, 5.0, 0.1)
  pid.setPID("y",5.0, 5.0, 0.1)
    
  # connect to the Arduino ( 0 = camera index )
  tracker.connect(opencv, xServo, yServo)
  
  opencv.broadcastState();
  sleep(1)
  
  # Gray & PyramidDown make face tracking
  # faster - if you dont like these filters - you
  # may remove them before you select a tracking type with
  # the following command
  # tracker.clearPreFilters()
  
  # diffrent types of tracking
  
  # lkpoint - click in video stream with 
  # mouse and it should track
  # simple point detection and tracking
  # tracker.startLKTracking()
  # scans for faces - tracks if found
  # tracker.findFace()
  # tracker + facedetect : tracker.faceDetect(True)
  tracker.faceDetect()
new_contents: # a minimal tracking script - this will start all peer
  # services and attach everything appropriately
  # change parameters depending on your pan tilt, pins and
  # Arduino details
  # all commented code is not necessary but allows custom
  # options
  
  port = "COM19"   #change COM port to your own port
  xServoPin = 13   #change this to the right servo pin if needed, for inmoov this is right
  yServoPin = 12   #change this to the right servo pin if needed, for inmoov this is right
  
  # create a servo controller and a servo
  arduino = Runtime.start("arduino","Arduino")
  xServo = Runtime.start("xServo","Servo")
  yServo = Runtime.start("yServo","Servo")
  
  # start optional virtual arduino service, used for test
  #virtual=1
  if ('virtual' in globals() and virtual):
      virtualArduino = Runtime.start("virtualArduino", "VirtualArduino")
      virtualArduino.connect(port)
  
  arduino.connect(port)
  xServo.attach(arduino.getName(), xServoPin)
  yServo.attach(arduino.getName(), yServoPin)
  
  tracker = Runtime.start("tracker", "Tracking")
  
  opencv=tracker.getOpenCV()
  
  # set specifics on each Servo
  xServo.setMinMax(30, 150)  #minimum and maximum settings for the X servo
  # servoX.setInverted(True) # invert if necessary
  
  yServo.setMinMax(30, 150)  #minimum and maximum settings for the Y servo
  # servoY.setInverted(True) # invert if necessary
  
  # changing Pid values change the 
  # speed and "jumpyness" of the Servos
  pid = tracker.getPID()
  
  # these are default setting
  # adjust to make more smooth
  # or faster
  
  pid.setPID("x",5.0, 5.0, 0.1)
  pid.setPID("y",5.0, 5.0, 0.1)
    
  # connect to the Arduino ( 0 = camera index )
  tracker.connect(opencv, xServo, yServo)
  
  opencv.broadcastState();
  sleep(1)
  
  # Gray & PyramidDown make face tracking
  # faster - if you dont like these filters - you
  # may remove them before you select a tracking type with
  # the following command
  # tracker.clearPreFilters()
  
  # diffrent types of tracking
  
  # lkpoint - click in video stream with 
  # mouse and it should track
  # simple point detection and tracking
  # tracker.startLKTracking()
  # scans for faces - tracks if found
  # tracker.findFace()
  # tracker + facedetect : tracker.faceDetect(True)
  tracker.faceDetect()
  
subject: Update Tracking.py