FaceDetect1.py

import numpy as np
import cv2


face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('haarcascade_eye.xml')

cap = cv2.VideoCapture(0)

while True:
    ret, img = cap.read()

    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    faces = face_cascade.detectMultiScale(gray, scaleFactor=1.5, minNeighbors=5)


    for (x,y,w,h) in faces:
        print(x,y,w,h)

        roi_gray = gray[y:y + h, x:x + w]
        roi_color = img[y:y + h, x:x + w]




        color = (255,0,0)
        stroke = 2
        end_cord_x = x+w
        end_cord_y = y+h

        cv2.rectangle(img, (x,y),(end_cord_x,end_cord_y), color, stroke)


        eyes = eye_cascade.detectMultiScale(roi_gray)

        for (ex,ey,ew,eh) in eyes:
            cv2.rectangle(roi_color, (ex,ey), (ex+ew,ey+eh), (0,255,0), 2)

    cv2.imshow('img',img)
   #cv2.imshow('Gray',gray)

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

cap.release()
cv2.destroyAllWindows()