Zaktualizuj 'neurons.py'

neurons.py

@@ -11,7 +11,7 @@ class Neurons:
         output_layers = [layer_names[i[0] - 1] for i in net.getUnconnectedOutLayers()]
         return output_layers
     def whatIsIt(self, path):
-        image = cv2.imread(path)
+        """image = cv2.imread(path)
         scale = 0.00392
         classes = None
         with open("yolov3.txt", 'r') as f:
@@ -28,7 +28,7 @@ class Neurons:
                 confidence = scores[class_id]
                 if confidence > 0.5:
                     class_ids.append(class_id)
-        print([classes[ids] for ids in  class_ids])
+        print([classes[ids] for ids in  class_ids])"""
         x = [1, 0, 0, 0, 0]
         numpy.random.shuffle(x)
         if x[0]==1: