dataset.py

import cv2
import os

cam = cv2.VideoCapture(0)
cam.set(3, 640)
cam.set(4, 480)
face_detector = cv2.CascadeClassifier('haarcascade_frontalface_default.xml')

face_id = input('\n enter user id end press <return> ==>  ')

print("\n [INFO] Initializing face capture. Look the camera and wait ...")
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
        cv2.imwrite("dataset/User." + str(face_id) + '.' +
                    str(count) + ".jpg", gray[y:y+h, x:x+w])

        cv2.imshow('image', img)

    k = cv2.waitKey(100) & 0xff
    if k == 27:
        break
    elif count >= 30:
        break

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