FaceDetection

untitled.py

@@ -31,28 +31,26 @@ import numpy as np
 camera = PiCamera()
 camera.resolution = (640, 480)
 face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
-stream = BytesIO()
-#camera.start_recording('my_video.h264')
-#print('started recodring')
-#camera.wait_recording(10)
-#camera.stop_recording()
+
 while True: 
-	print('taking photo')
+	print('Taking photo')
 	camera.capture('img.jpg')
 	img = cv2.imread('img.jpg',1)
 	gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
 	faces = face_cascade.detectMultiScale(gray, 1.3, 5)
-	
 	for (x,y,w,h) in faces:
-		img = cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
-		#roi_gray = gray[y:y+h, x:x+w]
-		#roi_color = img[y:y+h, x:x+w]
-		
+		cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),2)
+		cv2.imwrite('result.jpg', gray)
+		roi_gray = gray[y:y+h, x:x+w]
+		roi_color = img[y:y+h, x:x+w]
+		print('Drawing face')
+	print('displying iamge')	
 	cv2.imshow('image',img) 
 	cv2.waitKey(100)
 	if cv2.waitKey(1) & 0xFF == ord('q'):
+		cv2.destroyAllWindows()
 		break
-	#cv2.destroyAllWindows()
+	
 print('Finshed')