opencv 8 face detection

green indicates face detected, red indicates eye detected

video url: https://www.youtube.com/watch?v=jw-cxfP5cTQ

#main.py

import numpy as np

import cv2

cap = cv2.VideoCapture("assets/fashion.mp4")

face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')

eye_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_eye.xml')

while True:

    ret, frame = cap.read()

    width = int(cap.get(3))

    height = int(cap.get(4))

    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

    #detectMultiScale (frame, a, b)

    #good value of a is between 1 and 1.5, smaller a = more accurate

    #good value of b is between 3 and 6

    #detect face

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

    for (x, y, w, h) in faces:

        cv2.rectangle(frame, (x, y), (x + w, y + h), (0, 255, 0), 2)

        #select region of face

        roi_gray = gray[y:y + w, x:x + w]

        roi_color = frame[y:y + h, x:x + w]

        #detect eye on the face

        eyes = eye_cascade.detectMultiScale(roi_gray, 1.05, 5)

        for (ex, ey, ew, eh) in eyes:

            cv2.rectangle(roi_color, (ex, ey), (ex + ew, ey + eh), (0, 0, 255), 2)

    cv2.imshow('frame', frame)

    if cv2.waitKey(1) == ord('q'):

        break

cap.release()

cv2.destroyAllWindows()

reference:

https://www.youtube.com/watch?v=mPCZLOVTEc4