Update README.md

README.md

@@ -65,22 +65,22 @@ cd ../
 ```
 ### CNN Modeling
 #### prepare the data for modeling   
-	First it will generate the points file for each complex in general, refined, core set. (The density of points can be specificed, low resolution OctSurf can use low density points to accelerate the process, here for depth=6 model, we use density 3. Can be specified in .sh file)   
-	Then the points and labels will be transformed into tfrecords file.   
+First it will generate the points file for each complex in general, refined, core set. (The density of points can be specificed, low resolution OctSurf can use low density points to accelerate the process, here for depth=6 model, we use density 3. Can be specified in .sh file)   
+Then the points and labels will be transformed into tfrecords file.   
 ```angular2
 bash data_prepare_model.sh
 cd ..
 ```
 #### train model   
-	Specify the config files (the network architecture, the input/log path, iterations etc.)  
+Specify the config files (the network architecture, the input/log path, iterations etc.)  
 ```angular2
 cd tensorflow/script
 python run_cls.py --config configs/train_resnet_depth6.yaml
 ```
 
 #### test performance    
-	Specify the config files (the path for pretrained model/test dataset, network architecture, iterations etc)  
-	Test the pre-trained model on test dataset, and report the performance.  
+Specify the config files (the path for pretrained model/test dataset, network architecture, iterations etc)  
+Test the pre-trained model on test dataset, and report the performance.  
 ```angular2
 python test_reg_ave.py --config configs/test_resnet_depth6.yaml
 ```