import DBHelper import Facial_Recognition_Registration import Facial_Recognition_Enrollment from joblib import Parallel, delayed import multiprocessing import Facial_Image_Augmentation def upload_your_face(firstname, lastname, email, phone): # Determines user ID before adding the data to the database. # User ID is determined from number of user dataset in database # Later on it starts face recognition system and uploads it into the database based on the given user ID. users = DBHelper.db.child("Users").get() print("Registering the User information...") try: count = 1 for user in users.each(): count += 1 print("Face registration start...") Facial_Recognition_Registration.register_your_face("User_" + str(count)) Parallel(n_jobs=multiprocessing.cpu_count())( delayed(upload_parallel_user_photos)(i, count) for i in range(10)) DBHelper.upload_data("User_" + str(count), firstname, lastname, email, phone) print("Data saved! Starting enrollment...") Facial_Recognition_Enrollment.enroll_face_dataset() print("Face registration completed!") print("Success.") except: print("Face registration start...") Facial_Recognition_Registration.register_your_face("User_1") Parallel(n_jobs=multiprocessing.cpu_count())( delayed(upload_parallel_user_photo)(i) for i in range(10)) DBHelper.upload_data("User_1", firstname, lastname, email, phone) print("Data saved! Starting enrollment...") Facial_Recognition_Enrollment.enroll_face_dataset() print("Face registration completed!") print("Success.") def upload_parallel_user_photos(i, count): DBHelper.upload_user_photo("User_" + str(count) + "/" + str(i) + ".jpg") def upload_parallel_user_photo(i): DBHelper.upload_user_photo("User_1/" + str(i) + ".jpg") if __name__ == "__main__": f = input('Enter your First Name:') l = input('Enter your Last Name:') e = input('Enter your E-Mail:') p = input('Enter your Phone:') upload_your_face(f, l, e, p)