Vehicle-Anti-Theft-Face-Rec.../Upload_Face.py

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import DBHelper
import Facial_Recognition_Registration
import Facial_Recognition_Enrollment
from joblib import Parallel, delayed
import multiprocessing
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import Facial_Image_Augmentation
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def upload_your_face(firstname, lastname, email, phone):
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# 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.
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users = DBHelper.db.child("Users").get()
print("Registering the User information...")
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try:
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count = 1
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for user in users.each():
count += 1
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print("Face registration start...")
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Facial_Recognition_Registration.register_your_face("User_" + str(count))
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Parallel(n_jobs=multiprocessing.cpu_count())(
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delayed(upload_parallel_user_photos)(i, count) for i in range(10))
DBHelper.upload_data("User_" + str(count), firstname, lastname, email, phone)
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print("Data saved! Starting enrollment...")
Facial_Recognition_Enrollment.enroll_face_dataset()
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print("Face registration completed!")
print("Success.")
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except:
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print("Face registration start...")
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Facial_Recognition_Registration.register_your_face("User_1")
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Parallel(n_jobs=multiprocessing.cpu_count())(
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delayed(upload_parallel_user_photo)(i) for i in range(10))
DBHelper.upload_data("User_1", firstname, lastname, email, phone)
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print("Data saved! Starting enrollment...")
Facial_Recognition_Enrollment.enroll_face_dataset()
print("Face registration completed!")
print("Success.")
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def upload_parallel_user_photos(i, count):
DBHelper.upload_user_photo("User_" + str(count) + "/" + str(i) + ".jpg")
def upload_parallel_user_photo(i):
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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)