Update train_with_tensorboard.py

train_with_tensorboard.py

@@ -207,9 +207,9 @@ if __name__ == "__main__":
         if Use_Data_Loader:
             train_dataset = YoloDataset(lines[:num_train], (input_shape[0], input_shape[1]), mosaic=mosaic)
             val_dataset = YoloDataset(lines[num_train:], (input_shape[0], input_shape[1]), mosaic=False)
-            gen = DataLoader(train_dataset, batch_size=Batch_size, num_workers=4, pin_memory=True,
+            gen = DataLoader(train_dataset, shuffle=True, batch_size=Batch_size, num_workers=4, pin_memory=True,
                                     drop_last=True, collate_fn=yolo_dataset_collate)
-            gen_val = DataLoader(val_dataset, batch_size=Batch_size, num_workers=4,pin_memory=True, 
+            gen_val = DataLoader(val_dataset, shuffle=True, batch_size=Batch_size, num_workers=4,pin_memory=True, 
                                     drop_last=True, collate_fn=yolo_dataset_collate)
         else:
             gen = Generator(Batch_size, lines[:num_train],
@@ -244,9 +244,9 @@ if __name__ == "__main__":
         if Use_Data_Loader:
             train_dataset = YoloDataset(lines[:num_train], (input_shape[0], input_shape[1]), mosaic=mosaic)
             val_dataset = YoloDataset(lines[num_train:], (input_shape[0], input_shape[1]), mosaic=False)
-            gen = DataLoader(train_dataset, batch_size=Batch_size, num_workers=4, pin_memory=True,
+            gen = DataLoader(train_dataset, shuffle=True, batch_size=Batch_size, num_workers=4, pin_memory=True,
                                     drop_last=True, collate_fn=yolo_dataset_collate)
-            gen_val = DataLoader(val_dataset, batch_size=Batch_size, num_workers=4,pin_memory=True, 
+            gen_val = DataLoader(val_dataset, shuffle=True, batch_size=Batch_size, num_workers=4,pin_memory=True, 
                                     drop_last=True, collate_fn=yolo_dataset_collate)
         else:
             gen = Generator(Batch_size, lines[:num_train],