diff --git a/examples/Data/BFM/readme.md b/examples/Data/BFM/readme.md
index 627c084..1eeded1 100644
--- a/examples/Data/BFM/readme.md
+++ b/examples/Data/BFM/readme.md
@@ -1,10 +1,14 @@
 # Prepare BFM data
 
 1. Download raw BFM model   
+
     website: https://faces.cs.unibas.ch/bfm/index.php?nav=1-0&id=basel_face_model.  
+
     copy 01_MorphabelModel.mat to raw/  
 
-2. Download extra BFM information from 3DDFA(Face Alignment Across Large Poses: A 3D Solution).  and HFPE(High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild)
+    
+
+2. Download extra BFM information from 3DDFA(Face Alignment Across Large Poses: A 3D Solution)  and HFPE(High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild)
 
     website: http://www.cbsr.ia.ac.cn/users/xiangyuzhu/projects/3DDFA/main.htm  
 
@@ -16,13 +20,20 @@
 
     copy  *.mat to 3ddfa/  
 
+    
+
 3. Download UV coordinates fom STN  
+
     website: https://github.com/anilbas/3DMMasSTN/blob/master/util/BFM_UV.mat  
+
     copy BFM_UV.mat to stn/  
 
+    
+
 4. run generate.m in Matlab  
 
 
+
 Files will be saved in Out/  
 
 Note: