import cv2
import sys
import logging as log
import datetime as dt
from time import sleep
import time
from picamera.array import PiRGBArray
from picamera import PiCamera

cascPath = "haarcascade_frontalface_default.xml"
faceCascade = cv2.CascadeClassifier(cascPath)
log.basicConfig(filename='webcam.log',level=log.INFO)

camera = PiCamera()
camera.resolution = (640, 480)
camera.framerate = 32
rawCapture = PiRGBArray(camera, size=(640, 480))

anterior = 0
sleep(0.1)
for frame in camera.capture_continuous(rawCapture, format="bgr", use_video_port=True):
	# grab the raw NumPy array representing the image, then initialize the timestamp
	# and occupied/unoccupied text
	frame = frame.array

	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

        faces = faceCascade.detectMultiScale(
            gray,
            scaleFactor=1.1,
            minNeighbors=5,
            minSize=(30, 30)
        )

        # Draw a rectangle around the faces
        for (x, y, w, h) in faces:
            cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

        if anterior != len(faces):
            anterior = len(faces)
            log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now()))


        # Display the resulting frame
        cv2.imshow('Video', frame)


        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

        # Display the resulting frame
        cv2.imshow('Video', frame)
        rawCapture.truncate(0)
# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()