FaceRecognition-python/main.py

from time import sleep
from io import BytesIO
import os
import serial
import sys
import json

try:
    import numpy as np
    from picamera import PiCamera
    from picamera.array import PiRGBArray
    import cv2
    
except Exception as ex:
    print('[ Error ] some depandincies are missing\n'+ str(ex.args))
    sys.exit()

def init():
	go = True
	print('Initilizing Camera and cascade components..')
	try:
		camera = PiCamera()
		camera.resolution = (640, 480)
		sleep(0.2)
		print('[ OK ] Camera')
	except:
		print('[ Error ] Can not initialize PiCamera')
		go = False

	try:
		face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
		sleep(1)
		print('[ OK ] CascadeClassifier')
	except:
		print('[ Error ] Can not load cascade File')
		go = False
	if (go):
		print('Starting Photo loop..')
		print('Known people are '+str(loadNames()))
		start(camera, face_cascade)
		
	else: 
		print('closing')

def start( camera, face_cascade):
	j = 0
	rawCapture = PiRGBArray(camera)
	face_recognizer = cv2.createLBPHFaceRecognizer()
	face_recognizer.load('faces/m')
	names = loadNames()
	print('Known people '+ str(names))
	while 1:
		try:
			camera.capture(rawCapture, format="bgr")
		except:
			print('[ Error ] Can not capture image. Restarting..')
			init()
		img = rawCapture.array
		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
		faces = face_cascade.detectMultiScale(gray, 1.3,5)
		i = 0;
		for (x,y,w,h) in faces:
			i += 1
			j += 1
			roi_gray = gray[y:y+h, x:x+w]
			roi_color = img[y:y+h, x:x+w]
			person = recognize(roi_gray, face_recognizer, names)
			if person == 'unknown':
				print('Found unknown person')
			else:
				print('Found '+person)
				OpenShifter()
			cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
			cv2.putText(img, person, (x, y), cv2.FONT_HERSHEY_PLAIN, 1.7, (255, 0, 0), 2)
			
		cv2.imshow('image',img) 
		cv2.waitKey(100)
		rawCapture.truncate(0)
		if cv2.waitKey(1) & 0xFF == ord('q'):
			cv2.destroyAllWindows()
			break

def recognize(image,face_recognizer, names):
	
	try:
		img = image.copy()
		label= face_recognizer.predict(img)
	except:
		print('[ Error ] Error in Recognize() function')
	if label[1] > 100:
		return 'unknown'
	else:
		print(str(label) + ' >>'+names[label[0]])
		return names[label[0]]
		
def OpenShifter():
	try:
		ser = serial.Serial('/dev/ttyUSB0',9600)
		ser.open()
		ser.write('o')
		ser.close()
	except Exception as ex:
		print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')

def loadNames():
	try:
		with open("faces/names.json", "r") as read_file:
			data = json.load(read_file)
			return list(data)
	except:
		print('[ Error ] Error in loadNames() function')


init()