WIP: add multi-version support

Beter Init function

main.py

@@ -7,28 +7,51 @@ import sys
 import json
 import datetime
 
+piCamAvailable = False
+
 try:
     import numpy as np
     from picamera import PiCamera
     from picamera.array import PiRGBArray
-    import cv2
+    piCamAvailable = True
 
 except Exception as ex:
     print('[ Error ] some depandincies are missing\n'+ str(ex.args))
+    piCamAvailable = False;
+
+try:
+    import cv2
+
+except Exception as ex:
+    print('Could not load OpenCV\Closing')
     sys.exit()
 
 def init():
 	go = True
-	print('Initilizing..')
+	piCam = False
+	WebCam = False
+	print('Initilizing Camera ..')
+	if piCamAvailable:
 		try:
 			camera = PiCamera()
 			camera.resolution = (640, 480)
-		sleep(0.2)
-		print('[ OK ] Camera')
+			go = True
+			piCam = True
+			print('[ OK ] Started PiCamera')
 		except:
-		print('[ Error ] Can not initialize PiCamera')
+			print('[ Warning ] Could not start PiCamera. Trying Webcam.. ')
+			piCam = False
 			go = False
-
+	else:
+		try:
+			camera = cv2.VideoCapture()
+			print('[ OK ] WebCamera')
+			go = True
+			WebCam = True
+		except Exception as ex:
+			print('[ Error ] Could not start Webcam.. \nExiting')
+			go = False
+	sleep(0.2)
 	try:
 		face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 		sleep(1)
@@ -41,27 +64,39 @@ def init():
 	except OSError as ex:
 		print('Found (unknown) folder')
 
-	if (go):
+	if go:
 		print('Starting Photo loop..')
 		print('Known people are '+str(loadNames()))
-		start(camera, face_cascade)
+		start(camera, face_cascade, WebCam)
 
 	else:
 		print('closing')
 
-def start( camera, face_cascade):
+def start( camera, face_cascade, WebCam):
 	j = 0
+	if not WebCam:
 		rawCapture = PiRGBArray(camera)
-	face_recognizer = cv2.createLBPHFaceRecognizer()
+	# face_recognizer = cv2.face.LBPHFaceRecognizer_create() #cv2.face.createLBPHFaceRecognizer()
+	face_recognizer = cv2.face_LBPHFaceRecognizer('faces/h')
+	# face_recognizer.read('faces/h') # Try on Pi
+    ##WIP
+	try:
 		face_recognizer.load('faces/h')
+	except:
+		pass
+
 	names = loadNames()
 	while 1:
 		try:
+			if not WebCam:
 				camera.capture(rawCapture, format="bgr")
+				img = rawCapture.array
+			else:
+				ret, img = camera.read()
 		except:
 			print('[ Error ] Can not capture image. Restarting..')
 			init()
-		img = rawCapture.array
+		#img = rawCapture.array
 		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 		faces = face_cascade.detectMultiScale(gray, 1.3,5)
 		i = 0;