![]() Shao Uncategorized 1. Install CUDA, Boost, OpenCV. Download caffe code with. Below is my step by step record to compile Caffe from source in Windows 8.1. ![]() Sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler sudo apt-get install --no-install-recommends libboost-all-dev CUDA: Install by apt-get or the NVIDIA.run package. The NVIDIA package tends to follow more recent library and driver versions, but the installation is more manual. If installing from packages, install the library and latest driver separately; the driver bundled with the library is usually out-of-date. This can be skipped for CPU-only installation. BLAS: install ATLAS by sudo apt-get install libatlas-base-dev or install OpenBLAS by sudo apt-get install libopenblas-dev or MKL for better CPU performance. Python (optional): if you use the default Python you will need to sudo apt-get install the python-dev package to have the Python headers for building the pycaffe interface. Ubuntu InstallationCompatibility notes, 16.04 CUDA 8 is required on Ubuntu 16.04. Remaining dependencies, 14.04 Everything is packaged in 14.04. # glog wget tar zxvf v0.3.3.tar. Download emergency 4 portuguese mod war. gz cd glog-0.3.3./configure make && make install # gflags wget unzip master.zip cd gflags-master mkdir build && cd build export CXXFLAGS='-fPIC' && cmake. && make VERBOSE=1 make && make install # lmdb git clone cd lmdb/libraries/liblmdb make && make install Note that glog does not compile with the most recent gflags version (2.1), so before that is resolved you will need to build with glog first. LeNet Mnist TutorialContinue with.
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