Merge branch 'screen-shot-mod' of Hesham/FaceRecognition-python into master

SensorsArd/SensorsArd.ino

@@ -41,7 +41,6 @@ void loop() {
 
   if (distance < 70) UltraOK = true;  
   else UltraOK = false;
-
   if(digitalRead(ProxSensor) == LOW ) IROK = true;
   else  IROK = false;
   char pi = 'N';

main.py

@@ -1,6 +1,7 @@
 
 from time import sleep
 from io import BytesIO
+from PIL import Image
 import os
 import serial
 import sys
@@ -42,20 +43,19 @@ def init():
 		
 	else: 
 		print('closing')
-	#else:
-		#print('Sensors not Satisfied')
-	
+
 def start( camera, face_cascade):
 	j = 0
 	rawCapture = PiRGBArray(camera)
-	#camera.framerate = 32
-	#rawCapture = PiRGBArray(camera, size=(640, 480))
-	#for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):	
+	face_recognizer = cv2.createLBPHFaceRecognizer()
+	face_recognizer.load('faces/h')
+	names = loadNames()
 	while 1:
-	#try:
-		#camera.capture('img.jpg')
-		#img = cv2.imread('img.jpg',1)
-		camera.capture(rawCapture, format="bgr")
+		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)
@@ -63,37 +63,40 @@ def start( camera, face_cascade):
 		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)
-			if not person == 'unknown':
-				OpenShifter()
-				print('Sending to Arduino!')
+			try:
+				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)
+				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)
+			except:
+				print('[ Error ] Recognition fail')
+			if person == 'unknown':
+				print('Found unknown person')
+				try:
+					RGBImage = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
+					image = Image.fromarray(RGBImage)
+					image.save('lastUnknown.png')
+				except:
+					print('[ Error ] Saving unkown fail')
 			else:
-				print('Found unknown face')
-			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)
-			
+				print('Found '+person)
+				OpenShifter()
 		cv2.imshow('image',img) 
-		cv2.waitKey(100)
+		cv2.waitKey(1)
 		rawCapture.truncate(0)
 		if cv2.waitKey(1) & 0xFF == ord('q'):
 			cv2.destroyAllWindows()
 			break
-		
-		#except:
-			#print('[ Error ] Unexpected exception')
-			#print('Closing')
-			#break
 
-def recognize(image):
-	names = loadNames()
-	face_recognizer = cv2.createLBPHFaceRecognizer()
-	face_recognizer.load('faces/m')
-	img = image.copy()
-	label= face_recognizer.predict(img)
-	if label[1] > 100:
-		print(str(label))
+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] > 70:
 		return 'unknown'
 	else:
 		print(str(label) + ' >>'+names[label[0]])
@@ -106,13 +109,22 @@ def OpenShifter():
 		ser.write('o')
 		ser.close()
 	except Exception as ex:
-		print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
-
+		print('[ Error ] Can not connect to Arduino at /dev/ttyUSB0 ..')
+		try:
+			ser = serial.Serial('/dev/ttyUSB1',9600)
+			ser.open()
+			ser.write('o')
+			ser.close()
+		except:
+			print('[ Error ] Can not connect to Arduino at /dev/ttyUSB1 ..')
+			
 def loadNames():
-	
-	with open("faces/names.json", "r") as read_file:
-		data = json.load(read_file)
-		return list(data)
+	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()