cublas, cudart, curand (if CPU_ONLY is cleared)
cudnn (if CPU_ONLY is cleared and USE_CUDNN is set)
openblas (if USE_EIGEN is cleared)
Glog_deploy is a header-only wrapper provide LOG/DLOG and CHECK/CHECK_** functions provided by google-glog.
To use glog_deploy, simply include caffe/util/glog_deploy.hpp in your project. If glog/logging.h is included before, glog_deploy will not be used.
By default, the log is turned off and only fatal log will be output. Change GlogDeployLogMessage::enable to turn it on.
git clone path/to/this/project/on/gitlab; git submodule update --init;
Linux: mkdir target; cd target; cmake .. ; make install; make runtest;
Windows: mkdir target; cd target; cmake .. ; Use Visual Studio to build install/runtest project.
Cmake options: CPU_ONLY, USE_CUDNN, USE_EIGEN, DEBUG, BUILD_TEST
Test passed: all on Linux x86_64 with CUDA 8.0 and CuDNN 5.1, and CPU_ONLY + USE_EIGEN on Windows.
If you have modified caffe.proto, please run update_proto.sh on Linux before build on any platform and configuration.
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.
Check out the project site for all the details like
- DIY Deep Learning for Vision with Caffe
- Tutorial Documentation
- BVLC reference models and the community model zoo
- Installation instructions
and step-by-step examples.
Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.
Happy brewing!
Caffe is released under the BSD 2-Clause license. The BVLC reference models are released for unrestricted use.
Please cite Caffe in your publications if it helps your research:
@article{jia2014caffe,
Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
Journal = {arXiv preprint arXiv:1408.5093},
Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
Year = {2014}
}