WebCam capture (Not tested)

main.py

@@ -7,18 +7,28 @@ 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
+	WebCam = False
 	print('Initilizing..')
 	try:
 		camera = PiCamera()
@@ -26,9 +36,16 @@ def init():
 		sleep(0.2)
 		print('[ OK ] Camera')
 	except:
-		print('[ Error ] Can not initialize PiCamera')
+		print('[ Error ] Can not initialize PiCamera\Trying webcam..')
 		go = False
-
+		try:
+			camera = cv2.VideoCapture()
+			print('[ OK ] WebCamera')
+			go = True
+			WebCam = True
+		except Exception as ex:
+			print(ex.args)
+			go = False
 	try:
 		face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
 		sleep(1)
@@ -44,24 +61,29 @@ def init():
 	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
-	rawCapture = PiRGBArray(camera)
+	if not WebCam:
-	face_recognizer = cv2.createLBPHFaceRecognizer()
+		rawCapture = PiRGBArray(camera)
+	face_recognizer = cv2.face.LBPHFaceRecognizer_create() #cv2.face.createLBPHFaceRecognizer()
 	face_recognizer.load('faces/h')
 	names = loadNames()
 	while 1:
 		try:
-			camera.capture(rawCapture, format="bgr")
+			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;