Supprimer anciens fichiers de noms/prénoms

randomnames.py

 import random
 import string
 
-# English names
-fo = open("words", "r")
-long_txt = fo.read()
-words = long_txt.splitlines()
-
 # French firstnames https://www.data.gouv.fr/fr/datasets/liste-de-prenoms/
 #fo_firstname = open("Prenoms.csv", "r", encoding='Windows 1252')
 #fo_firstname = open("Prenoms.csv", "r", encoding='latin-1')

trackmultiplefaces.py

 #!/usr/bin/env python3
 '''
-    Author: Guido Diepen <gdiepen@deloitte.nl>
+    Author: Benoît Piédallu < benoit@laquadrature.net>
+    Based on Guido Diepen <gdiepen@deloitte.nl> work
 '''
 
 #Import the OpenCV and dlib libraries
@@ -11,6 +12,7 @@ from colour import Color
 from threading import Thread
 import time
 import random
+# import tkinter as tk
 
 import randomnames
 
@@ -76,9 +78,9 @@ def list_available_cameras():
 class facetracker:
 
 #We are not doing really face recognition
-    def doRecognizePerson(self, faceNames, fid):
-        time.sleep(2)
-        faceNames[ fid ] = randomnames.rand_name(charset) #"Person " + str(fid)
+    # def doRecognizePerson(self, faceNames, fid):
+    #     time.sleep(2)
+    #     faceNames[ fid ] = randomnames.rand_name_statistic(charset) #"Person " + str(fid)
 
     def displayGradientOn(self, resultImage, value, vertical=False):
         red = Color("red")
@@ -472,7 +474,7 @@ class facetracker:
 
                     # Directly add name + pass a charset to which name must belong
                     # "Person " + str(fid)
-                    self.faceNames[ self.currentFaceID ] = randomnames.rand_name("letters")
+                    self.faceNames[ self.currentFaceID ] = randomnames.rand_name_statistic("letters")
 
                     self.calculateAverageSuspicious(self.faceSuspicion)
 
@@ -557,33 +559,26 @@ class facetracker:
 
 
 if __name__ == '__main__':
-    cameraList = []
-    for camera_id in list_available_cameras():
+    # root = tk.Tk()
+    # screen_width = root.winfo_screenwidth()
+    # screen_height = root.winfo_screenheight()
+    # print("Taille écran: " + str(screen_width) + "x" + str(screen_height) )
+
+    camera_list = list_available_cameras()
+    # if screen_width>screen_height:
+    #     if len(camera_list) == 1:
+    #         window_height = screen_height
+
+    facetrackerList = []
+    for camera_id in camera_list:
         videoName = "cam" + str(camera_id)
 
-        cameraList.append(facetracker(camera_id, videoName))
+        facetrackerList.append(facetracker(camera_id, videoName))
+
 
     while True:
         try:
-            for camera in cameraList:
+            for camera in facetrackerList:
                 camera.show_frame()
         except AttributeError:
             pass
-
-        # thread = Thread(target=camera.test_display_cam, args=(cam_disp))
-        # cam_threads.append(thread)
-        # thread.deamon = True
-        # thread.start()
-
-
-        # thread = Thread( target=camera.detectAndTrackMultipleFaces, args={
-        #     # False: Names are directly printed on screen, no new thread
-        #     'start_thread' : False,
-        #     # Select only names with letters and whitespace. Any other value will select printable.
-        #     'charset' : "letters",
-        #     # If True, then rectangle color around people' face will turn red if dangerous
-        #     'draw_person_dangerosity' : True,
-        #     # Add a warning message if dangerous
-        #     'add_warning_message' : True,
-        # })
-        # thread.start()