29_face_detection.py

import cv2 as cv
import numpy as np

face_cascade = cv.CascadeClassifier(
    'clasifires/haarcascade_frontalface_default.xml')
eye_cascade = cv.CascadeClassifier(
    'clasifires/haarcascade_eye_tree_eyeglasses.xml')

# img = cv.imread('images/4.jpg')
cap = cv.VideoCapture(0)

while cap.isOpened():
    _, img = cap.read()
    gray_image = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray_image, 1.1, 4)

    for (x, y, w, h) in faces:
        cv.rectangle(img, (x, y),  (x+w, y+h), (0, 255, 0), 2)
        roi_gray = gray_image[y:y+h, x:x+w]
        roi_color = img[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)
        for (ex, ey, ew, eh) in eyes:
            cv.rectangle(
                roi_color, (ex, ey), (ex+ew, ey+eh),
                (0, 255, 0), 2
            )

    cv.imshow('Face Image', img)
    if cv.waitKey(1) & 0xFF == ord('q'):
        break

cap.release()