main.py

@@ -8,6 +8,7 @@ import sys
 try:
     import numpy as np
     from picamera import PiCamera
+    from picamera.array import PiRGBArray
     import cv2
     
 except Exception as ex:
@@ -20,7 +21,7 @@ def init():
 	try:
 		camera = PiCamera()
 		camera.resolution = (640, 480)
-		sleep(2)
+		sleep(0.2)
 		print('[ OK ] Camera')
 	except:
 		print('[ Error ] Can not initialize PiCamera')
@@ -44,12 +45,15 @@ def init():
 	
 def start( camera, face_cascade):
 	j = 0
+	rawCapture = PiRGBArray(camera)
 	while True:
 	#try:
-		camera.capture('img.jpg')			
-		img = cv2.imread('img.jpg',1)
+		#camera.capture('img.jpg')			
+		#img = cv2.imread('img.jpg',1)
+		camera.capture(rawCapture, format="bgr")
+		img = rawCapture.array
 		gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)		
-		faces = face_cascade.detectMultiScale(gray, 1.1, 4)			
+		faces = face_cascade.detectMultiScale(gray, 1.2, 4)			
 		i = 0;
 		for (x,y,w,h) in faces:
 			i += 1
@@ -65,6 +69,7 @@ def start( camera, face_cascade):
 			
 		cv2.imshow('image',img) 
 		cv2.waitKey(100)
+		rawCapture.truncate(0)
 		if cv2.waitKey(1) & 0xFF == ord('q'):
 			cv2.destroyAllWindows()
 			break
@@ -98,7 +103,7 @@ def recognize(image):
 	
 	subjects = ['','Hesham','Saeed']
 	face_recognizer = cv2.createLBPHFaceRecognizer()
-	face_recognizer.load('faces/m')
+	face_recognizer.load('faces/Hesham-Saeed')
 	img = image.copy()	
 	label= face_recognizer.predict(img)
 	print(label)