Update README.md

Author: Lequan Yu

README.md

@@ -2,21 +2,20 @@
 
 This project is a C++ reimplementation of face alignment in 3000fps in the CVPR 2014 paper:
 [ Face Alignment at 3000 FPS via Regressing Local Binary Features. ]().
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+### VS project 
+ I have added a VS 2013 project. You can try it!
 ### Usage
 
 1. Download datasets and get Path_Images.txt as [jwyang/face-alignment](https://github.com/jwyang/face-alignment). 
 
-2. Download [liblinear](http://www.csie.ntu.edu.tw/~cjlin/liblinear/) and compiler it to get blas lib (liblinear/blas/blas.a). You need to use your own blas.a to replace `blas.a` in the folder `build`.
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-3. To compiler the program: go to folder `build` and 
+2. To compiler the program: go to folder `build` and 
 
    cmake .
 
    make
 
-4. To train a new model: set global parameters in `LBF.cpp` and dataset in `TrainDemo.cpp`. Use `"LBF.out TrainModel"`.
-5. To test a model on dataset: set test dataset in `TestDemo.cpp`. Use `"LBF.out TestModel"`.
+3. To train a new model: set global parameters in `LBF.cpp` and dataset in `TrainDemo.cpp`. Use `"LBF.out TrainModel"`.
+4. To test a model on dataset: set test dataset in `TestDemo.cpp`. Use `"LBF.out TestModel"`.
 
 ###Model
 I have trained a model on AFW, HELEN,LFPW dataset. You can download it from [here](http://pan.baidu.com/s/1326PS) or [google drive](https://drive.google.com/folderview?id=0ByeDfKY7bL0_fmg2RWN2V0xtQ19veW1wdFVJRjBaRHBuUmJNNERHc0YyQ2lLVXJodDZTbk0&usp=sharing).