Caffe is a deep learning framework made with expression, speed, and modularity in mind.It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.
Caffe has command line, Python, and MATLAB interfaces for day-to-day usage, interfacing with research code, and rapid prototyping. While Caffe is a C++ library at heart and it exposes a modular interface for development, not every occasion calls for custom compilation. Caffe 是一个深度学习的框架. For MATLAB Caffe: MATLAB with the mex compiler. CuDNN Caffe: for fastest operation Caffe is accelerated by drop-in integration of NVIDIA cuDNN. To speed up your Caffe models, install cuDNN then uncomment the USE_CUDNN:= 1 flag in Makefile.config when installing Caffe. Acceleration is automatic.
Check out the project site for all the details like
- BAIR reference models and the community model zoo
and step-by-step examples.
Windows Setup
Requirements: Visual Studio 2015, CUDA 9.0, third party libraries: Baidu Yun or Google Drive. Please extract the archive into ./windows/thirdparty/. Then, add the folder ./windows/thirdparty/bins to the environment variable PATH.
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Pre-Build Steps
Copy .windowsCommonSettings.props.example to .windowsCommonSettings.props
By defaults Windows build requires CUDA and cuDNN libraries.Both can be disabled by adjusting build variables in .windowsCommonSettings.props.Python support is disabled by default, but can be enabled via .windowsCommonSettings.props as well.
CUDA
Download CUDA Toolkit 8.0from nVidia website.If you don't have CUDA installed, you can experiment with CPU_ONLY build.In .windowsCommonSettings.props set CpuOnlyBuild to true and set UseCuDNN & UseNCCL to false.
cuDNN
Download cuDNN v5from 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 .windowsCommonSettings.props.CuDnnPath defined in .windowsCommonSettings.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 .windowsCommonSettings.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:
Remark
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>Buildx64Releasepycaffe, or - copy folder
<caffe_root>Buildx64Releasepycaffecaffeunder<python_root>libsite-packages.
Matlab
To build Caffe Matlab wrapper set MatlabSupport to true and MatlabDir to the root of your Matlab installation in .windowsCommonSettings.props.
Remark
After you have built solution with Matlab support, in order to use it you have to add the ./matlab folder to Matlab search path.
Build
Now, you should be able to build .windowsCaffe.sln
Caffe Windows Matlab Youtube Tutorial
License and Citation
Caffe is released under the BSD 2-Clause license.The BAIR/BVLC reference models are released for unrestricted use.
Caffe Windows Matlab Youtube Video
Please cite Caffe in your publications if it helps your research: