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HOW TO DETECT FACES IN PYTHON USING OPENCV (face detection in python)

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hello guys in this tutorial we will take a look at how to detect faces in python using opencv
code : -
###########################################
#robokishan
#don't just copy and paste it will never work  install opencv and also modules required for it
#then just download opencv from git and copy this file "haarcascade_frontalface_default.xml"


#if you have such a brain this code speaks lot more than i show just figure out what else you can do
#uncomment some useful stuffs


#!/usr/bin/python
import cv2
import numpy as np

face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
# eye_cascade = cv2.CascadeClassifier("haarcascade_eye.xml")
# smile = cv2.CascadeClassifier("haarcascade_smile.xml")
cap = cv2.VideoCapture(0)

while True:
ret , frame  = cap.read()
gray = cv2.cvtColor(frame , cv2.COLOR_BGR2GRAY)
faces = face_cascade.detectMultiScale(gray , 1.3 , 5)
for (x,y,w,h) in faces:
cv2.rectangle(frame , (x,y) , (x+w , y+h) , (255 , 0, 0) , 2)
roi_gray = gray[y:y+h , x:x+w]
roi_color = frame[y:y+h , x:x+w]
# smiles=smile.detectMultiScale(roi_gray)
# for(ex,ey,ew,eh) in smiles:
# cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
# eyes = eye_cascade.detectMultiScale(roi_gray)
# for(ex,ey,ew,eh) in eyes:
# cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,255,0),2)
cv2.imshow('frame' , frame)
k = cv2.waitKey(30) & 0xff
if k == 27: #esc key
break
cap.release()
cv2.destroyAllWindows()

###########################################





if you find out it is usefull please can you comment for more my information. something useful for me.
related to python, java, linux, android programming challenges.
thank you

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