Caffe Windows Install
I got excited recently about Deep neural networks. I did some research and found out that running DNN in a GPU is 20X faster than in CPU. So that means you can setup a mini supercomputer at home.
I went directly to shop spent $200 to buy Nvidia 750Ti video card with 620 CUDA cores and compute capability of 5.0 (very nice). Turns out that Nvidia supports CUDA SDK for running various scientific programs in GPU.
Checkout OpenCL which runs on ATI Radeon and Nvidia both but has limited support and libraries. Caffe is a fast high performance Deep neural network library. It requires Nvidia GPU with CUDA support. I decided to install caffe on a 64 bit machine running ubuntu with 16gb ram and intel i5 quad core cpu and running caffe in ubuntu makes all the way easier. Running caffe in MacOS and windows is a real pain in the ass!! Before we start, lets quickly check whether you have nvidia gpu installed in your machine.
Lspci grep -i nvidia Install CUDA SDK Download CUDA for Linux 64 bit 900mb.run file by going here. Caffe will not work properly with 32 bit architecture This entire package has Nvidia driver, CUDA Toolkit and CUDA samples. Note that apt-get install cuda will also work, but it does not come with samples and other extras, so i urge using the.run installation. Lets prepare our system. Sudo apt-get update sudo apt-get install g gcc build-essential Right click on the downloaded.RUN file and mark it as executable under permissions. Switch to command tty pressing CTRL+F1, stop the x-server graphics interface sudo service lightdm stop then run the installer sudo./cuda6.5.0linux64.run Finish the installation by installing, the nvidia driver, toolkit and samples and restart the xserver sudo service lightdm start Add these extra libraries, which are needed for CUDA sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev. Sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler 3.
Caffee Windows Install
One of the easiest ways to install the CAFFE framework on windows! Jun 07, 2016 One of the easiest ways to install the CAFFE framework on windows!
Install Caffe In Windows
Rename Makefile.config.example to Makefile.config and edit the necessary changes. Since we have cuDNN installed, comment out that line, or if you like to use only CPU, commentout. # cuDNN acceleration switch (uncomment to build with cuDNN). USECUDNN:= 1 # CPU-only switch (uncomment to build without GPU support). # CPUONLY:= 1 # To customize your choice of compiler, uncomment and set the following. The default for Linux is g and the default for OSX is clang # CUSTOMCXX:= g. Thank you for the tutorial I am trying to install the caffe for a project I am working on, I have follows the instructions for installing #glog #gflags and #lmdb from your link and the Caffe official site.
When I finish the command “make all” in step 4, I get the following message: /usr/local/lib/libgflags.a: error adding symbols: Bad value collect2: error: ld returned 1 exit status make:.buildrelease/lib/libcaffe.so Error 1 Do you have an idea what could be the reason? Takara. I did not get errors during the installations of glog anf gflags and lmdb!