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Forked from https://www.github.com/BVLC/caffe master branch in 2015/6/5

Added Batch Normalization, Parametric ReLU, Locally Connected Layer, Normalize Layer, Randomized ReLU, Triplet Loss, SmoothL1 Layer, ROI Layer.

Update

2015/08/06 CuDNN v3 is released! The new 3rdparty library with CuDNN v3 can be downloaded from http://pan.baidu.com/s/1i390tZB. In this update, I use an ungainly method to build the caffe core functions in one project as a static lib. I am still looking for better solutions. Issues and Pull Requests are welcomed.

WARNING: Visual Studio 2012 and CUDA6.5 are no longer supported. Please update your CUDA to version 7.0. If you are still using VS2012, please open the solution in buildVS2013 and modify the platform toolset to Visual Studio 2012(v110).

2015/07/07 Visual Studio 2013 with CUDA 7.0 is now supported. A beta version 3rdparty library can be downloaded from (deprecated). All the libraries have been updated to the latest version. Please help me try and report bugs.

WARNING: Due to the low compile speed of VS2012 with CUDA 6.5, VS2012 3rdparty library will not continue to be updated after September, 2015. If you are configuring a new platform, we strongly recommend you to use Visual Studio 2013 and CUDA 7.0.

Setup step:

  1. Download third-party libraries from http://pan.baidu.com/s/1sjE5ER7 (for VS2012), and put the 3rdparty folder under the root of caffe-windows. Please don't forget to add the ./3rdparty/bin folder to your environment variable PATH.

  2. Run ./src/caffe/proto/extract_proto.bat to create caffe.pb.h, caffe.pb.cc and caffe_pb2.py.

  3. Double click ./build/MSVC/MainBuilder.sln to open the solution in Visual Studio 2012. If you are using VS2013, please download 3rdparty libraries and solution files from http://pan.baidu.com/s/1sj3IvzZ.

  4. Change the compile mode to Release and X64.

  5. Change the CUDA include and library path to your own ones.

  6. Compile.

TIPS: If you have MKL library, please add the preprocess macro "USE_MKL" defined in the setting of the project.

If you want build other tools, just copy and rename ./build/MSVC folder to another one, and add the new project to the VS solution. Remove caffe.cpp and add your target cpp file. Then you will get a corresponding exe file in ./bin.

中文安装说明:http://blog.csdn.net/happynear/article/details/45372231

Matlab Wrapper

Just change the Matlab include and library path defined in the settings and compile. Don't forget to add ./matlab to your Matlab path.

Python Wrapper

Similar with Matlab, just change the python include and library path defined in the settings and compile.

MNIST example

Please download the mnist leveldb database from http://pan.baidu.com/s/1mgl9ndu and extract it to ./examples/mnist. Then double click ./run_mnist.bat to run the MNIST demo.

Acknowlegement

We greatly thank Yangqing Jia and BVLC group for developing Caffe,

@niuzhiheng for his contribution on the first generation of caffe-windows,

@ChenglongChen for his implementation of Batch Normalization,

@jackculpepper for his implementation of locally-connected layer,

and all people who have contributed to the caffe user group.

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