face_detection_haar_cascade.py

import cv2
import numpy
face=cv2.CascadeClassifier(r"C:\Users\anshika\Desktop\Robotics Project\open cv\cascade\haarcascade_frontalface_default.xml") #for detecting face
eye = cv2.CascadeClassifier(r"C:\Users\anshika\Desktop\Robotics Project\open cv\cascade\haarcascade_eye.xml") #for detecting eyes

image=cv2.imread(r"C:\Opencv_output\a.jpg")
gray= cv2.cvtColor(image,cv2.COLOR_BGR2GRAY) #convert into gray 

#parameters(img,scale_factor[reduce image size],min_neighbour)
faces = face.detectMultiScale(gray,1.3,2)   #for  faces

for(x,y,w,h) in faces:
    
    image=cv2.rectangle(image,(x,y),(x+w,y+h),(127,0,205),3)
    
    roi_gray = gray[y:y+h, x:x+w]
    roi_color = image[y:y+h, x:x+w]
    eyes = eye.detectMultiScale(roi_gray,1.2,1)
    
    for (ex,ey,ew,eh) in eyes:
        cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(255,0,0),2)
    
cv2.imshow("Face Detected",image)
cv2.waitKey(0)
cv2.destroyAllWindows()