faceDetect.py

# -*- coding: utf-8 -*-

__author__ = "Jasper Xu"

import cv2
import time

def face_detect(cascade_dir):
    # load cascade file for face detection
    faceCascade = cv2.CascadeClassifier(cascade_dir)
    font = cv2.FONT_HERSHEY_SIMPLEX
    # get video stream
    cam = cv2.VideoCapture(0)
    cam.set(3,640) 
    cam.set(4,480) 
    # show fps
    start_time = time.time() 
    fps = 0

    while True:
        ret, img = cam.read()
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        faces = faceCascade.detectMultiScale (gray, 1.3, 5, minSize = (30,30))
        i = 1
        
        for (x,y,w,h) in faces:
            cv2.rectangle(img, (x,y), (x+w,y+h), (0,255,0), 3)
            cv2.putText(img, 'Face No.'+str(i), (x,y-5), font, 1, (255,255,255), 2)
            i += 1

        fps += 1
        d_time = time.time() - start_time
        cv2.putText(img, 'FPS:' + str(fps//d_time), (20,460), font, 1, (255,255,255), 2)

        cv2.imshow('camera',img)
    
        k = cv2.waitKey(10) & 0xff
        if k == ord(' '): # press space to break
            break

    cam.release()
    cv2.destroyAllWindows()

#------------------------------main-------------------------------------------------#
if __name__ == '__main__':
    haar_dir = 'D:/Anaconda/pkgs/opencv-3.3.1-py36h20b85fd_1/Library/etc/haarcascades/haarcascade_frontalface_alt2.xml'
    lbp_dir = 'D:/Anaconda/pkgs/opencv-3.3.1-py36h20b85fd_1/Library/etc/lbpcascades/lbpcascade_frontalface_improved.xml'
    face_detect(haar_dir)