Tao Hu dongzhuoyao

Caffe + Ubuntu 14.04 64bit + CUDA 6.5 配置说明

本步骤能实现用Intel核芯显卡来进行显示，用NVIDIA GPU进行计算。

1. 安装开发所需的依赖包

安装开发所需要的一些基本包

sudo apt-get install build-essential  # basic requirement
sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libboost-all-dev libhdf5-serial-dev libgflags-dev libgoogle-glog-dev liblmdb-dev protobuf-compiler #required by caffe

Theory of Building Caffe on OS X

Introduction

Our goal is to run python -c "import caffe" without crashing. For anyone who doesn't spend most of their time with build systems, getting to this point can be extremely difficult on OS X. Instead of providing a list of steps to follow, I'll try to epxlain why each step happens.

This page has OS X specific install instructions.

I assume:

local setting

PATH=$PATH:~/.local/bin
source /home/tao/.local/bin/virtualenvwrapper.sh
pip install virtualenvwrapper --user #make everything locally!!

vim, zsh is very hard to install locally without sudo permission.

Updated 4/11/2018

Here's my experience of installing the NVIDIA CUDA kit 9.0 on a fresh install of Ubuntu Desktop 16.04.4 LTS.

	"""
	Multiclass SVMs (Crammer-Singer formulation).

	A pure Python re-implementation of:

	Large-scale Multiclass Support Vector Machine Training via Euclidean Projection onto the Simplex.
	Mathieu Blondel, Akinori Fujino, and Naonori Ueda.
	ICPR 2014.
	http://www.mblondel.org/publications/mblondel-icpr2014.pdf
	"""

	function [Dictionary,output] = KSVD(...
	Data,... % an nXN matrix that contins N signals (Y), each of dimension n.
	param)
	% =========================================================================
	% K-SVD algorithm
	% =========================================================================
	% The K-SVD algorithm finds a dictionary for linear representation of
	% signals. Given a set of signals, it searches for the best dictionary that
	% can sparsely represent each signal. Detailed discussion on the algorithm
	% and possible applications can be found in "The K-SVD: An Algorithm for

	Felix Krull runs a PPA offering basically any version of Python (seriously, there is 2.3.7 build for vivid...) for many Ubuntu releases at

	https://launchpad.net/~fkrull/+archive/ubuntu/deadsnakes

	Do the usual:

	sudo add-apt-repository ppa:fkrull/deadsnakes
	sudo apt-get update
	sudo apt-get install python3.5
	It will not overwrite your existing python3.4 which is still symlinked as python3. If you want python3.5 to be the default python3, change the symlink

	#!/bin/bash

	################################################################################
	### OpenCV2 Installation Script ###
	################################################################################
	# Source code at https://github.com/arthurbeggs/scripts #
	################################################################################
	# #
	# Feel free to copy and modify this file. Giving me credit for it is your #
	# choice, but please keep references to other people's work, which I don't #

	# Configuration
	HOME_DIR=/home/[user]/
	VERSION=3.1.0

	# Installation
	sudo apt-get update
	sudo apt-get upgrade
	sudo apt-get install -y build-essential cmake pkg-config
	sudo apt-get install -y libjpeg8-dev libtiff5-dev libjasper-dev libpng12-dev
	sudo apt-get install -y libavcodec-dev libavformat-dev libswscale-dev libv4l-dev