FaceDetection.py

import cv2
import time
import numpy as np

Detection = cv2.CascadeClassifier('haarcascade_frontalcatface.xml')

cap = cv2.VideoCapture(1)

cap.set(cv2.CAP_PROP_FRAME_WIDTH, 640)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 480)

prev_frame_time = 0
new_frame_time = 0

while True:

    ret, frame = cap.read()

    faces = Detection.detectMultiScale(frame, 1.3, 5)
    for (x, y, w, h) in faces:
        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 0, 255), 2)
    
    font = cv2.FONT_HERSHEY_SIMPLEX
    new_frame_time = time.time()
    fps = 1/(new_frame_time-prev_frame_time)
    prev_frame_time = new_frame_time
    fps = int(fps)
    fps = str(fps)
    cv2.putText(frame, fps, (7, 70), font, 3, (100, 255, 0), 3, cv2.LINE_AA)
    
    cv2.imshow('frame', frame)
    
    if cv2.waitKey(1) == ord('q'):
        break

cap.release()
cv2.destroyAllWindows()