Commit des modifs sur le GUI de ce matin + rajout Egoshare_5_TestPerf.py

Egoshare_4_GUI.py

@@ -254,7 +254,7 @@ def OnLaunch(self, evt):
             return
         if not self.model_selected:
             wx.MessageBox("Selectionner le modele SVM !", "Donnee manquante")
-            #return
+            return
 
         thread.start_new_thread(Break_Egoshare_Captcha.break_captcha,
                                 (self.model, self.letter1_algo, self.letter2_algo, self.letter3_algo, self))
@@ -272,7 +272,12 @@ def OnSelectModel(self, evt):
 
         if retour == wx.ID_OK and fichier != "":
             self.model = Break_Egoshare_Captcha.load_model(self.chemin, self, fichier)
-        self.Update()
+            self.Update()
+
+            if self.captcha_selected and self.model_selected:
+                #Lancement du calcul
+                self.OnLaunch(None)
+
 
 
 
@@ -292,7 +297,16 @@ def OnSelectCaptcha(self, evt):
             self.setThumbs(self.letter1, self.letter2, self.letter3)
             self.captcha_selected = True
             self.setResults("", "", "", "", "", "")
-        self.Update()
+
+            self.Update()
+
+            if self.captcha_selected and self.model_selected:
+                #Lancement du calcul
+                self.OnLaunch(None)
+
+
+
+
 ###############################################################################
 ###############################################################################
 

Egoshare_5_TestPerf.py

@@ -0,0 +1,55 @@
+#!coding: utf-8
+from Break_Egoshare_Captcha import *
+
+MODEL_FOLDER = 'Egoshare/Models'
+MODEL_FILES = ['simulation_based_C=1000_KERNEL=1.svm']
+TEST_FOLDER = 'Egoshare/DBTest-Captcha_based'
+
+try:
+    print MODEL_FILE
+except:
+    pass
+else:
+    MODEL_FILES = [MODEL_FILE]
+
+set_files_errors = set([])
+
+for MODEL_FILE in MODEL_FILES:
+    model = load_model(os.path.join(MODEL_FOLDER, MODEL_FILE))
+
+    nbs = 0
+    errors = 0
+    for folder, subfolders, files in os.walk(TEST_FOLDER):
+        if (folder[0] != "."):
+            loaded = False
+            for file in [file for file in files if 'bmp' in file]:
+                if not loaded:
+                    print "Testing on ", folder
+                    loaded = True
+
+                im = Image.open(os.path.join(folder, file))
+                im = im.point(lambda e : e/255)
+
+                char, max_score, scores = predict(model, im)                
+
+                if char == folder[-1]:
+                    #print "SUCCESS"
+                    pass
+                else:
+                    #print "FAILURE"
+                    set_files_errors.add(file.split('number')[0])
+                    #print "Error: ", char, "detected instead of", folder[-1]
+                nbs += 1
+
+
+    nb_errors = len(set_files_errors)
+    nb_captchas_tested = nbs/3
+    print "\tSuccess rate: ", (1 - (1.*nb_errors/nb_captchas_tested))*100, "%"
+    print 
+    write(MODEL_FILE + '\t' + str((1 - (1.*nb_errors/nb_captchas_tested))*100) + "%")
+
+
+
+
+
+

characters_center.py

@@ -9,8 +9,7 @@
 TRAINING_FOLDER = "Egoshare/DBTraining-Simulation_based"
 
 for folder, subfolders, files in os.walk(TRAINING_FOLDER):
-    loaded = False
-
+
     print folder
 
     if os.name == "nt":