diff --git a/README.md b/README.md
index 3e9a141d9f6d3d349ce10d3951e7be3490ff3a33..500522b2fb4c59231eb868f2041734f4a7139907 100644
--- a/README.md
+++ b/README.md
@@ -33,7 +33,7 @@ In order to evaluate the model at each acquisition step, run
 ``` python
 python3 -c 'import Test as te;te.running_test_for_single_acquisition_step(model_dir)'
 Args:
-	model_dir: the directory that saves the model ckpt
+  model_dir: the directory that saves the model ckpt
 ```
 
 #### Train the model
@@ -43,15 +43,16 @@ Args:
   ```python
   python3 -c 'import Train_Active_Full_Im as tafi;tafi.running_loop_active_learning_full_image(stage)'
   Args:
-  	stage: int, 0:random, 1:VarRatio, 2:Entropy, 3:BALD
+    stage: int, 0:random, 1:VarRatio, 2:Entropy, 3:BALD
   ```
 
 - For region based active learning, run
-	```python
-	python3 -c 'import Train_Active_Region_Im as tari;tari.running_loop_active_learning_region(stage)'
-	Args:
-	  stage: int, 0:random, 1:VarRatio, 2:Entropy, 3:BALD
-	```
+    
+  ```python
+  python3 -c 'import Train_Active_Region_Im as tari;tari.running_loop_active_learning_region(stage)'
+  Args:
+    stage: int, 0:random, 1:VarRatio, 2:Entropy, 3:BALD
+  ```
 
 #### Reproduce figures
 
@@ -64,6 +65,6 @@ wget https:
 tar -xzvf calibration_score.tar.gz
 cd ..
 cd eval_calibration
-python3 visualize_calibration_score.py --save False
+python3 visualize_calibration_score.py --save True
 ```