Updated the execution time of Upload_Face and Upload_Thief.

Upload_Face.py

@@ -1,6 +1,8 @@
 import DBHelper
 import Facial_Recognition_Registration
 import Facial_Recognition_Enrollment
+from joblib import Parallel, delayed
+import multiprocessing
 
 
 def upload_your_face(firstname, lastname, email, phone):
@@ -15,22 +17,22 @@ def upload_your_face(firstname, lastname, email, phone):
             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(50))
+        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!")
-        for i in range(50):
-            DBHelper.upload_user_photo("User_" + str(count) + "/" + str(i) + ".jpg")
-        DBHelper.upload_data("User_" + str(count), firstname, lastname, email, phone)
         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(50))
+        DBHelper.upload_data("User_1", firstname, lastname, email, phone)
         print("Data saved! Starting enrollment...")
         Facial_Recognition_Enrollment.enroll_face_dataset()
         print("Face registration completed!")
-        for i in range(50):
-            DBHelper.upload_user_photo("User_1/" + str(i) + ".jpg")
-        DBHelper.upload_data("User_1", firstname, lastname, email, phone)
         print("Success.")
 
 
@@ -40,3 +42,11 @@ if __name__ == "__main__":
     e = input('Enter your E-Mail:')
     p = input('Enter your Phone:')
     upload_your_face(f, l, e, p)
+
+
+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")

Upload_Thief.py

@@ -1,6 +1,8 @@
 import DBHelper
 import Facial_Recognition_Thief_Registration
 from datetime import datetime
+from joblib import Parallel, delayed
+import multiprocessing
 
 
 def upload_thief_face():
@@ -13,16 +15,16 @@ def upload_thief_face():
         for thief in thieves.each():
             count += 1
         Facial_Recognition_Thief_Registration.register_your_face("Thief_" + str(count))
-        for i in range(50):
+        Parallel(n_jobs=multiprocessing.cpu_count())(
-            DBHelper.upload_thief_photo("Thief_" + str(count) + "/" + str(i) + ".jpg")
+            delayed(upload_parallel_thief_photos)(i, count) for i in range(50))
         date = datetime.now().strftime("%d/%m/%Y")
         time = datetime.now().strftime("%H:%M:%S")
         DBHelper.upload_thief_data("Thief_" + str(count), date, time)
         print("An intruder is recorded.")
     except:
         Facial_Recognition_Thief_Registration.register_your_face("Thief_1")
-        for i in range(50):
+        Parallel(n_jobs=multiprocessing.cpu_count())(
-            DBHelper.upload_thief_photo("Thief_1/" + str(i) + ".jpg")
+            delayed(upload_parallel_thief_photo)(i) for i in range(50))
         date = datetime.now().strftime("%d/%m/%Y")
         time = datetime.now().strftime("%H:%M:%S")
         DBHelper.upload_thief_data("Thief_1", date, time)
@@ -31,3 +33,11 @@ def upload_thief_face():
 
 if __name__ == "__main__":
     upload_thief_face()
+
+
+def upload_parallel_thief_photos(i, count):
+    DBHelper.upload_thief_photo("Thief_" + str(count) + "/" + str(i) + ".jpg")
+
+
+def upload_parallel_thief_photo(i):
+    DBHelper.upload_thief_photo("Thief_1/" + str(i) + ".jpg")

start_engine.py

@@ -9,7 +9,7 @@ def start():
     for user in users.each():
         count += 1
     if count != 0:
-        print("Starting the Face Recognition Software...")
+        print("Initializing the Face Recognition Software...")
         Facial_Recognition_Inference.inference()
     else:
         print("No Users exist for Facial Recognition Software.")