Installation
The official installation instructions explain the recommended steps for installing on the official platforms of CentOS 7.3.
These unofficial instructions collect tips and guides but without any guarantees. Please add any missing details and correct any mistakes.
- Install bzip2
- Install miniconda / anaconda (https://conda.io/miniconda.html / https://www.anaconda.com/download/)
- conda install -c intel caffe
- run IntelCaffe: ${PREFIX}/bin/caffe, where ${PREFIX} is the root installation directory of miniconda or anaconda.
- Please follow the instructions (https://github.com/intel/caffe/tree/master/docker)
- Note that you may need to specify proxy in Dockerfile (e.g., docker/standalone/cpu-ubuntu/Dockerfile)
- Source Installation: Install and build from source and run performance benchmarks (https://github.com/intel/caffe/wiki/Install-Intel-Caffe)
- Ubuntu 14.04/Cuda 7 for EC2: AMI and installation script that works on EC2 g2.2xlarge and g2.8xlarge instances.
- Ubuntu 14.04 VirtualBox VM: virtual machine installation with CUDA 6.5 and system Python.
- Ubuntu 14.04 ec2 instance: ec2 installation with CUDA 6.5 and video walkthrough plus a vagrant VM. (Needs update for latest Caffe).
- Super computing cluster without root access (GPU+CPU): Cuda 6.5, cuDNN V1, Python 2.7.x
See the official instructions.
There is an unofficial Windows port of Caffe at niuzhiheng/caffe:windows. Thanks @niuzhiheng!
Another unofficial Windows port of Caffe at [redknightlois/caffe] (https://github.com/redknightlois/caffe). This port is based on work done by @initialneal. Binary packages to compile available at: https://initialneil.wordpress.com/2015/01/11/build-caffe-in-windows-with-visual-studio-2013-cuda-6-5-opencv-2-4-9/
Yet another unofficial Windows port can be found at willyd/caffe. Unlike the previous ports this one builds on top of the CMake build. A super-build project that downloads and builds all Caffe dependencies is also available at willyd/caffe-builder.