Face Detection using Raspberry Pi and Smartphone

import cv2 
import sys 
import logging as log 
import datetime as dt 
from time import sleep 
cascPath = sys.argv[1] 
faceCascade = cv2.CascadeClassifier(cascPath) 
log.basicConfig(filename='webcam.log',level=log.INFO) 
video_capture = cv2.VideoCapture(0) 
anterior = 0 
print('Keval') 
while True: 
   if not video_capture.isOpened(): 
       print('Unable to load camera.') 
       sleep(5) 
       pass 
   # Capture frame-by-frame 
   ret, frame = video_capture.read() 
   cv2.rectangle(frame, (20, 20), (20, 20), (255, 0, 0), 2) 
   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), (255, 0, 0), 2) 
   if anterior != len(faces): 
       anterior = len(faces) 
       log.info("faces: "+str(len(faces))+" at "+str(dt.datetime.now())) 
   if cv2.waitKey(1) & 0xFF == ord('q'): 
       break 
   # Display the resulting frame 
   cv2.imshow('Video', frame) 
# When everything is done, release the capture 
video_capture.release() 
cv2.destroyAllWindows()