#import all the required modules

import numpy as np

import serial

import time

import sys

import cv2

#Setup Communication path for arduino (In place of 'COM5' put the port to which your arduino is connected)

arduino = serial.Serial('COM3', 9600)

time.sleep(2)

print("Connected to arduino...")

#importing the Haarcascade for face detection

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

#To capture the video stream from webcam.

cap = cv2.VideoCapture(0)

#Read the captured image, convert it to Gray image and find faces

while 1:

ret, img = cap.read()

cv2.resizeWindow('img', 500,500)

cv2.line(img,(500,250),(0,250),(0,255,0),1)

cv2.line(img,(250,0),(250,500),(0,255,0),1)

cv2.circle(img, (250, 250), 5, (255, 255, 255), -1)

gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

faces = face_cascade.detectMultiScale(gray, 1.3)

#detect the face and make a rectangle around it.

for (x,y,w,h) in faces:

cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),5)

roi_gray = gray[y:y+h, x:x+w]

roi_color = img[y:y+h, x:x+w]

arr = {y:y+h, x:x+w}

print (arr)

print ('X :' +str(x))

print ('Y :'+str(y))

print ('x+w :' +str(x+w))

print ('y+h :' +str(y+h))

# Center of roi (Rectangle)

xx = int(x+(x+h))/2

yy = int(y+(y+w))/2

print (xx)

print (yy)

center = (xx,yy)

# sending data to arduino

print("Center of Rectangle is :", center)

data = "X{0:d}Y{1:d}Z".format(xx, yy)

print ("output = '" +data+ "'")

arduino.write(data)

#Display the stream.

cv2.imshow('img',img)

#Hit 'Esc' to terminate execution

k = cv2.waitKey(30) & 0xff

if k == 27:

break