facetrain.py

import os
import cv2 as cv
import numpy as np

people = ['ben_afflek','elton_john','jerry_seinfeld','madonna','mindy_kaling']
DIR = r'D:\OpenCv\train'
haar_cascade = cv.CascadeClassifier('haar_face.xml')

features = []
labels = []

def create_train():
    for person in people:
        path = os.path.join(DIR, person)
        label = people.index(person)

        for img in os.listdir(path):
            img_path = os.path.join(path,img)

            img_array = cv.imread(img_path)
            gray = cv.cvtColor(img_array, cv.COLOR_BGR2GRAY)

            faces_rect = haar_cascade.detectMultiScale(gray, scaleFactor = 1.1, minNeighbors = 4)

            for (x,y,w,h) in faces_rect:
                faces_roi = gray[y:y+h, x:x+w]
                features.append(faces_roi)
                labels.append(label)


create_train()

print("Training done ---------")
features = np.array(features, dtype='object')
labels = np.array(labels)

face_recognizer = cv.face.LBPHFaceRecognizer_create()

face_recognizer.train(features,labels)
face_recognizer.save('face_trained.yml')
np.save('features.npy',features)
np.save('labels.npy',labels)