Face Detector

import PySimpleGUI as sg
import cv2

layout = [
    [sg.Image(key = '-IMAGE-')],
    [sg.Text('People in picture: 0', key = '-TEXT-', expand_x = True, justification = 'c')]
]

window = sg.Window('Face Detector', layout)

# get video
video = cv2.VideoCapture(0)
face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

while True:
    event, values = window.read(timeout = 0)
    if event == sg.WIN_CLOSED:
        break

    _, frame = video.read()
    gray = cv2.cvtColor(frame,cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(
        gray,
        scaleFactor = 1.3,
        minNeighbors = 7,
        minSize =(30,30))

    # draw the rectangles
    for (x, y, w, h) in faces:
        cv2.rectangle(frame,(x,y),(x + w, y + h),(0,255,0),2)

    # update the image
    imgbytes = cv2.imencode('.png',frame)[1].tobytes()
    window['-IMAGE-'].update(data = imgbytes)

    # update the text
    window['-TEXT-'].update(f'People in picture: {len(faces)}')

window.close()