Detect face & eyes with webcam & rectangle face with showing some text over rectangle real time. Save 30 faces into 'faceimg' directory & exit after face saving

webcam2.py

import cv2
#import numpy as np
import time

#import finished

face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')
smile_cascade = cv2.CascadeClassifier('haarcascade_smile.xml')

'''
References:
http://docs.opencv.org/trunk/d7/d8b/tutorial_py_face_detection.html
http://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_objdetect/py_face_detection/py_face_detection.html
http://docs.opencv.org/3.1.0/dd/d43/tutorial_py_video_display.html
https://realpython.com/blog/python/face-recognition-with-python/
https://realpython.com/blog/python/face-detection-in-python-using-a-webcam/
'''

#Start of video record

cap = cv2.VideoCapture(0)
#time.sleep(5)
i=1

while(True):
	#Capture frame-by frame
	ret, frame = cap.read()
	#if ret==0:
	#	continue

	#Image Operation Starts here
	gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

	#detects faces
	face = face_cascade.detectMultiScale(gray,1.1,5)
	
	#Draw the detected faces
	for (x, y, w, h) in face:

		cropped_face_colored=frame[y:(y+h),x:(x+w)]
		cropped_face_gray=gray[y:(y+h),x:(x+w)]
		eyes = eye_cascade.detectMultiScale(cropped_face_gray)
		#smile= smile_cascade.detectMultiScale(cropped_face_gray)

		cv2.imwrite('faceimg/face'+str(i)+'.jpg',cropped_face_colored)

		i = i+1
		
		for (ex, ey, ew, eh) in eyes:
			cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 96, 23), 1)
			cv2.rectangle(cropped_face_colored,(ex,ey),(ex+ew,ey+eh),(255, 96, 23),1)
			cv2.putText(frame, "Press q to Exit", (x, y-10), 
				cv2.FONT_HERSHEY_PLAIN, 1.0, (255,255,255))

			#for(sx,sy,sw,sh) in smile:
				
			#	cv2.rectangle(cropped_face_colored,(sx,sy),(sx+sw,sy+sh),(255, 96, 23),1)


	#Display the frame
	cv2.imshow('Webcam',frame)

	if (i==31):
		break

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

#Release the capture after finish
cap.release()
cv2.destroyAllWindows()