window_basic2.py

import cv2
import numpy as np

# Step 1. Define detect function
face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_default.xml')

def detect_face(img):
    
    img_copy = img.copy()
    face_rects = face_cascade.detectMultiScale(img_copy)
    
    for (x, y, w, h) in face_rects:
        cv2.rectangle(img_copy, (x, y), (x+w, y+h), (255, 255, 255), 3)
        
    return img_copy

# Step 2. Call the cam
cap = cv2.VideoCapture(0) 

while True: 
    
    ret, frame = cap.read(0) 
     
    frame = detect_face(frame)
    cv2.imshow('Video Face Detection', frame) 
 
    c = cv2.waitKey(1) 
    if c == 27: 
        break 
        
cap.release() 
cv2.destroyAllWindows()