Win32 Caffe

[NOTICE]: Make sure that you have successfully built Win64 based caffe using the project. That will make Win32 version building more easily. This project is based on Caffe-rc3.

Windows Setup

Requirements: Visual Studio 2013.

Only CPU version is tested under win7 and win10. Precision of probability is lost a bit but the label is right.

I think GPU version would also be built smoothly if you set the environment of CUDA etc. properly. You can try! ^_^

Steps

Rename windows/CommonSettings.props.example to windows/CommonSettings.props.
Build Win64 Version. This will automatically and surprisingly download dependencies which Win32 caffe will use.
Create Win32 Project Platform copying configurations from x64 for projects "libcaffe" and "classification" respectively.
Switch Project Platform to Win32 and rebuilt for projects "libcaffe" and "classification".
Check it out using classification.exe.

Contributor

team: VisionRush
authors: WangJian(wangjian@ia.ac.cn), WangBo(wangbo@ia.ac.cn)

Windows Caffe

This is an experimental, Microsoft-led branch by Pavle Josipovic (@pavlejosipovic). It is a work-in-progress.

This branch of Caffe ports the framework to Windows.

Travis (Linux build)

[] (https://ci.appveyor.com/project/pavlejosipovic/caffe-v45qi) AppVeyor (Windows build)

Windows Setup

Requirements: Visual Studio 2013

Pre-Build Steps

Copy .\windows\CommonSettings.props.example to .\windows\CommonSettings.props

By defaults Windows build requires CUDA and cuDNN libraries. Both can be disabled by adjusting build variables in .\windows\CommonSettings.props. Python support is disabled by default, but can be enabled via .\windows\CommonSettings.props as well. 3rd party dependencies required by Caffe are automatically resolved via NuGet.

CUDA

Download CUDA Toolkit 7.5 from nVidia website. If you don't have CUDA installed, you can experiment with CPU_ONLY build. In .\windows\CommonSettings.props set CpuOnlyBuild to true and set UseCuDNN to false.

cuDNN

Download cuDNN v3 or cuDNN v4 from nVidia website. Unpack downloaded zip to %CUDA_PATH% (environment variable set by CUDA installer). Alternatively, you can unpack zip to any location and set CuDnnPath to point to this location in .\windows\CommonSettings.props. CuDnnPath defined in .\windows\CommonSettings.props. Also, you can disable cuDNN by setting UseCuDNN to false in the property file.

Python

To build Caffe Python wrapper set PythonSupport to true in .\windows\CommonSettings.props. Download Miniconda 2.7 64-bit Windows installer [from Miniconda website] (http://conda.pydata.org/miniconda.html). Install for all users and add Python to PATH (through installer).

Run the following commands from elevated command prompt:

conda install --yes numpy scipy matplotlib scikit-image pip
pip install protobuf

Remark

After you have built solution with Python support, in order to use it you have to either:

set PythonPath environment variable to point to <caffe_root>\Build\x64\Release\pycaffe, or
copy folder <caffe_root>\Build\x64\Release\pycaffe\caffe under <python_root>\lib\site-packages.

Matlab

To build Caffe Matlab wrapper set MatlabSupport to true and MatlabDir to the root of your Matlab installation in .\windows\CommonSettings.props.

Remark

After you have built solution with Matlab support, in order to use it you have to:

add the generated matcaffe folder to Matlab search path, and
add <caffe_root>\Build\x64\Release to your system path.

Build

Now, you should be able to build .\windows\Caffe.sln

Further Details

Refer to the BVLC/caffe master branch README for all other details such as license, citation, and so on.

elliskui/Caffe-Win32