egit.py

import os
import cv2
import face_recognition as FR
import pickle

print(cv2.__version__)

encodings = []
names = []
#imageDir = r"C:\Users\AFSAR\PycharmProjects\Akıllı Kamera\Akıllı Kamera\demoImages\known"
imageDir = r"demoImages\known"

for root, dirs, files in os.walk(imageDir):
    print(root)
    print(dirs)
    print(files)

    for file in files:
        # print(file)
        fullFilePath = os.path.join(root, file)
        print(fullFilePath)
        myPicture = FR.load_image_file(fullFilePath)
        encoding = FR.face_encodings(myPicture)[0]
        # [0] added here because of array logic
        name = os.path.splitext(file)[0]
        encodings.append(encoding)
        names.append(name)

with open("train.pkl", "wb") as f:
    pickle.dump(names, f)
    pickle.dump(encodings, f)