face_dataset.py

#This code adds images to a dataset folder

import numpy as np
import cv2
import os


def getting_pic():
    global name
    global age
    cam = cv2.VideoCapture(0)
    cam.set(3, 640) # set video width
    cam.set(4, 480) # set video height
    face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

    face_id = input('\n Enter user id and press <return> ==>  ')
    print("\n [INFO] Initializing face capture. Look at the camera and wait ... ")

    #Initialize individual face count
    count = 0
    while (True):
        ret, img = cam.read()
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        faces = face_detector.detectMultiScale(gray, 1.3, 5)

        for (x,y,w,h) in faces:
            cv2.rectangle(img, (x,y), (x+w,y+h), (255,0,0), 2)
            count += 1

            #Save the captured image into the datasets folder

            cv2.imwrite("dataset/"+ name + str(face_id) + '.' + str(count) + ".jpg", gray[y:y+h, x:x+w])
            cv2.imshow('image', img)

        k = cv2.waitKey(100)    #Press 'Esc' to exit the video

        if k == 27:
            break
        elif count >= 30: #Take 30 face samples and stop video
            break

    #Do a bit of cleanup

    print("\n [INFO] Exiting program and cleanup stuff")
    cam.release()
    cv2.destroyAllWindows()


getting_pic()