personDetect.py

import cv2
import numpy as np

cap = cv2.VideoCapture(0)

face_cascade = cv2.CascadeClassifier('C:/Users/Cezeri_NPC/Desktop/opencv/haarcascades/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('C:/Users/Cezeri_NPC/Desktop/opencv/haarcascades/haarcascade_eye.xml')

while(True):
    ret, frame = cap.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    faces = face_cascade.detectMultiScale(gray, 1.3, 5)

    for(x,y,w,h) in faces:
        frame = cv2.rectangle(frame, (x,y), (x+w,y+h),(255,0,0),2)
        font = cv2.FONT_HERSHEY_SIMPLEX
        cv2.putText(frame, 'Face', (x+5, y+h-5), font, 1, (255, 0, 0), 2, cv2.LINE_AA)
        roi_gray  = gray[y:y+h, x:x+w]
        roi_color = gray[y:y+h, x:x+w]
        eyes = eye_cascade.detectMultiScale(roi_gray)

    eyes = eye_cascade.detectMultiScale(gray, 1.3, 5)

    for (ex, ey, ew, eh) in eyes:
        frame = cv2.rectangle(frame, (ex, ey), (ex + ew, ey + eh), (0, 255, 0), 2)
        roi_gray = gray[y:y + h, x:x + w]
        roi_color = gray[y:y + h, x:x + w]
        eyes = eye_cascade.detectMultiScale(roi_gray)

    cv2.imshow('frame', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break
cap.release()
cv2.destroyAllWindows()