live-cam-face-eyes-detect-haar-cascades-ipwebcam.py

import cv2
import numpy as np
import urllib.request

face_classifier = cv2.CascadeClassifier('Haarcascades/haarcascade_frontalface_default.xml')
eye_classifier = cv2.CascadeClassifier('Haarcascades/haarcascade_eye.xml')

def face_detector(img, size=0.5):
    # Convert image to grayscale
    gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
    faces = face_classifier.detectMultiScale(gray, 1.3, 5)
    if faces is ():
        return img
    
    for (x,y,w,h) in faces:
        cv2.rectangle(img,(x,y),(x+w,y+h),(255,0,0),5)
        roi_gray = gray[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_classifier.detectMultiScale(roi_gray,1.3,5)
        
        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color,(ex,ey),(ex+ew,ey+eh),(0,0,255),5) 
            
    return img



stream = urllib.request.urlopen('http://192.168.43.1:8080/video') #here use your server ip/video
bytes = bytes()


while True:
    bytes += stream.read(1024)
    a = bytes.find(b'\xff\xd8')
    b = bytes.find(b'\xff\xd9')
    if a != -1 and b != -1:
        jpg = bytes[a:b+2]
        bytes = bytes[b+2:]
        frame = cv2.imdecode(np.fromstring(jpg, dtype=np.uint8), cv2.IMREAD_COLOR)
        cv2.namedWindow('Face Extractor',cv2.WINDOW_NORMAL)

        cv2.imshow('Face Extractor', face_detector(frame))
    if cv2.waitKey(1) == 13: #13 is the Enter Key
        break
        
stream.release()
cv2.destroyAllWindows()