Computer vision:Face Detection using Haar Cascade Classifiers 






import numpy as np 
import cv2 
import os 
os.chdir(r"E:\faceeyedetection")
cap =cv2.VideoCapture(0)

face_cascade =cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
eyes_cascade =cv2.CascadeClassifier("haarcascade_eye.xml")

while(cap.isOpened()):
    ret ,frame =cap.read()
    
    gray =cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    
    faces =face_cascade.detectMultiScale(gray ,1.3 , 4)
    for (x,y,h,w) in faces :
        cv2.rectangle(frame ,(x,y),(x+w ,y+h),(0,255,0),3)       
        roi_gray=gray[y:y+h ,x:x+w]       
        roi_color=frame[y:y+h ,x:x+w]       
        eyes =eyes_cascade.detectMultiScale(roi_gray)       
        for(ex,ey,eh,ew) in eyes :      
            cv2.rectangle(roi_color ,(ex,ey),(ex+ew ,ey+eh),(0,0,255),3)            
  
    
    cv2.imshow("frame" ,frame)
    
    key =cv2.waitKey(1)
    if(key == 27):
        break 
        
cap.release()
cv2.destroyAllWindows()

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