一、配置环境（ubuntu16.04+virtual box）

1.下载OpenCV并安装

下载方法：git clone https://github.com/opencv/opencv.git

执行以下命令安装相应依赖：

sudo apt-get install git cmake build-essential pkg-config libgtk2.0-dev libssl-dev libv4l-dev v4l-utils libjpeg-dev libtiff5-dev libjasper-dev libpng-dev libavcodec-dev libavformat-dev libswscale-dev libxvidcore-dev libx264-dev libxine2-dev libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev libqt4-dev libgtk-3-dev mesa-utils libgl1-mesa-dri libqt4-opengl-dev libatlas-base-dev gfortran libeigen3-dev python2.7-dev python3-dev python-numpy python3-numpy

下载完毕后，cd到下载目录，执行以下命令：

sudo remote update

sudo checkout 3.4.1

sudo mkdir build_cmake

sudo cd build_cmake

sudo cmake ..

sudo make

sudo make install

sudo ldconfig -v

2.下载Caffe并安装

下载方法：sudo git clone https://github.com/BVLC/caffe.git

依次执行：

sudo apt-get install libatlas-base-dev

sudo apt-get install libprotobuf-dev

sudo apt-get install libleveldb-dev

sudo apt-get install libsnappy-dev

sudo apt-get install libopencv-dev

sudo apt-get install libboost-all-dev

sudo apt-get install libhdf5-serial-dev

sudo apt-get install libgflags-dev

sudo apt-get install libgoogle-glog-dev

sudo apt-get install liblmdb-dev

sudo apt-get install protobuf-compiler

caffe工程下载完毕后，到对应的目录进行解压并进入解压后的目录，

sudo make all

sudo make pycaffe

二、运行caffe带的demo

执行命令： sudo sh data/mnist/get_mnist.sh下载数据：

执行命令：sudo sh examples/mnist/create_mnist.sh对数据进行转换会生成mnist_test_lmdb和mnist_train_lmdb文件：

执行命令：sudo sh examples/mnist/train_lenet.sh训练模型，大概十几分钟后：