Basic Face Detection Using OpenCV

webcam.py

import cv2
#import numpy as np
import time

#import finished

cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.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)

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 = cascade.detectMultiScale(gray,1.1,5)

	#Draw the detected faces
	for (x, y, w, h) in face:
		cv2.rectangle(frame, (x, y), (x+w, y+h), (255, 96, 23), 1)

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

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

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