face_detection.py

import cv2
from random import randrange
trained_face_data=cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
#img=cv2.imread('2men.jpg')
webcam=cv2.VideoCapture(0)
while True:
    successful_frame_read,frame=webcam.read()
    grayscaled_img=cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    face_coordinates=trained_face_data.detectMultiScale(grayscaled_img)
    for (x,y,w,h) in face_coordinates:
        cv2.rectangle(frame,(x,y),(x+w,y+h),(0,255,0),10)
    cv2.imshow('Clever Programmer Face Detector',frame)
    key=cv2.waitKey(1)
    if key==81 or key==113:
        break
        
'''
face_coordinates=trained_face_data.detectMultiScale(grayscaled_img)
for (x,y,w,h) in face_coordinates:
    cv2.rectangle(img,(x,y),(x+w,y+h),(randrange(128,256),randrange(256),randrange(256)),10)
cv2.imshow('Clever Programmer Face Detector',img)
#print(face_coordinates)
cv2.waitKey()'''


print("Code Completed")