[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.
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! ^_^
- 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.
team: VisionRush
authors: WangJian([email protected]), WangBo([email protected])
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.
[]
(https://ci.appveyor.com/project/pavlejosipovic/caffe-v45qi) AppVeyor (Windows build)
Requirements: Visual Studio 2013
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.
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.
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.
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
After you have built solution with Python support, in order to use it you have to either:
- set
PythonPathenvironment variable to point to<caffe_root>\Build\x64\Release\pycaffe, or - copy folder
<caffe_root>\Build\x64\Release\pycaffe\caffeunder<python_root>\lib\site-packages.
To build Caffe Matlab wrapper set MatlabSupport to true and MatlabDir to the root of your Matlab installation in .\windows\CommonSettings.props.
After you have built solution with Matlab support, in order to use it you have to:
- add the generated
matcaffefolder to Matlab search path, and - add
<caffe_root>\Build\x64\Releaseto your system path.
Now, you should be able to build .\windows\Caffe.sln
Refer to the BVLC/caffe master branch README for all other details such as license, citation, and so on.