old_contents: # A script to test opencv tracking in MyRobotLab with an Arduino connected to a Raspberry Pi 3
  # as at mrl development build version 2489
  # a mashup of code taken from Mats:
  # https://github.com/MyRobotLab/pyrobotlab/blob/master/home/Mats/Tracking.py
  # and also from Grog:
  # http://myrobotlab.org/content/tracking-results
  #
  
  
  #Define the x and y tracking servo pins 
  #articulated neck servos
  
  centreneckPin = 1 # vertical motion
  mainneckPin = 2 # horizontal motion
  xPin = 9; # horizontal motion
  yPin = 10; # vertical motion
  
  #set which camera to use. In my case, 0 references the Raspberry Pi camera
  cameraIndex = 0
  
  # set the port to which the Arduino is connected
  arduinoPort = '/dev/ttyUSB0'
  
  # start a tracker service instance
  tracker = Runtime.start("tracker", "Tracking");
  
  tracker.connect(arduinoPort, xPin, yPin, cameraIndex);
  
  x = tracker.getX();
  # invert if necessary
  # x.setInverted(True);
  x.setVelocity(20)
  x.setMinMax(60,90)
  #x.setInverted(True);
  x.setRest(85)
  x.rest()
   
  y = tracker.getY();
  y.setVelocity(20)
  y.setInverted(True);
  y.setMinMax(60,75)
  y.setRest(70)
  y.rest()
  
  
  
  #start an Arduino service instance
  #arduino = Runtime.start("tracker.controller","Arduino")
  
  #define a tracker PID instance
  pid = Runtime.start("tracker.pid","Pid")
  
  #set the x and y PID values
  #pid.setPID("x", 20.0, 5.0, 0.1);
  #pid.setPID("y", 20.0, 5.0, 0.1);
  
  opencv = Runtime.start("tracker.opencv","OpenCV")
  pid.setPID("x", 10.0, 1.0, 0.1);
  pid.setPID("y", 50.0, 1.0, 0.1);
  
  
  #get the tracker opencv service instance
  #opencv = Runtime.getService("tracker.opencv")
  sleep(2);
  
  #opencv.addFilter("PyramidDown1","PyramidDown")
  #opencv.addFilter("Gray1","Gray")
  
  #as at mrl development build 2423 this next piece is required on the Raspberry Pi (3) under javacv1.3 
  #for opencv to return video frames
  #frameGrabberType = "org.bytedeco.javacv.FFmpegFrameGrabber";
  #opencv.captureFromResourceFile("/dev/video0");
  #opencv.setFrameGrabberType(frameGrabberType);
  #opencv.broadcastState();
  #sleep(3);
  #rest for a bit
  #sleep(3);
  
  
  #start the opencv video frame capture
  opencv.capture();
  
  
  #opencv.addFilter("lkOpticalTrack1","LKOpticalTrack")
  #opencv.setDisplayFilter("lkOpticalTrack1")
  #sleep(1)
  #opencv.invokeFilterMethod("lkOpticalTrack1","samplePoint",160,120)
  
  #start tracking
  
  #1# tracker.startLKTracking()
  #2# tracker.findFace()
  #3# tracker.faceDetect()
  
  
  
new_contents: # A script to test opencv tracking in MyRobotLab with an Arduino connected to a Raspberry Pi 3
  # as at mrl development build version 2489
  # a mashup of code taken from Mats:
  # https://github.com/MyRobotLab/pyrobotlab/blob/master/home/Mats/Tracking.py
  # and also from Grog:
  # http://myrobotlab.org/content/tracking-results
  #
  
  
  #Define the x and y tracking servo pins 
  #articulated neck servos
  
  centreneckPin = 1 # vertical motion
  mainneckPin = 2 # horizontal motion
  xPin = 9; # horizontal motion
  yPin = 10; # vertical motion
  
  #set which camera to use. In my case, 0 references the Raspberry Pi camera
  cameraIndex = 0
  
  # set the port to which the Arduino is connected
  arduinoPort = '/dev/ttyUSB0'
  
  # start a tracker service instance
  tracker = Runtime.start("tracker", "Tracking");
  
  tracker.connect(arduinoPort, xPin, yPin, cameraIndex);
  
  x = tracker.getX();
  # invert if necessary
  # x.setInverted(True);
  x.setVelocity(20)
  x.setMinMax(60,90)
  #x.setInverted(True);
  x.setRest(85)
  x.rest()
   
  y = tracker.getY();
  y.setVelocity(20)
  y.setInverted(True);
  y.setMinMax(60,75)
  y.setRest(70)
  y.rest()
  
  
  
  #start an Arduino service instance
  #arduino = Runtime.start("tracker.controller","Arduino")
  
  #define a tracker PID instance
  pid = Runtime.start("tracker.pid","Pid")
  
  #set the x and y PID values
  #pid.setPID("x", 20.0, 5.0, 0.1);
  #pid.setPID("y", 20.0, 5.0, 0.1);
  
  opencv = Runtime.start("tracker.opencv","OpenCV")
  pid.setPID("x", 5.0, 1.0, 0.1);
  pid.setPID("y", 5.0, 1.0, 0.1);
  
  
  #get the tracker opencv service instance
  #opencv = Runtime.getService("tracker.opencv")
  sleep(2);
  
  #opencv.addFilter("PyramidDown1","PyramidDown")
  #opencv.addFilter("Gray1","Gray")
  
  #as at mrl development build 2423 this next piece is required on the Raspberry Pi (3) under javacv1.3 
  #for opencv to return video frames
  #frameGrabberType = "org.bytedeco.javacv.FFmpegFrameGrabber";
  #opencv.captureFromResourceFile("/dev/video0");
  #opencv.setFrameGrabberType(frameGrabberType);
  #opencv.broadcastState();
  #sleep(3);
  #rest for a bit
  #sleep(3);
  
  
  #start the opencv video frame capture
  opencv.capture();
  
  tracker.y.setInverted(True);
  sleep(1);
  
  #opencv.addFilter("lkOpticalTrack1","LKOpticalTrack")
  #opencv.setDisplayFilter("lkOpticalTrack1")
  #sleep(1)
  #opencv.invokeFilterMethod("lkOpticalTrack1","samplePoint",160,120)
  
  #start tracking
  
  #1# tracker.startLKTracking()
  #2# tracker.findFace()
  #3# tracker.faceDetect()
  
  
  
subject: Update tracking-arduino.py