人脸表情分类

第五周。

本次由于不确定网络类型，本次选用googlenetv2,alexnet,darknet19三种网络模型

由于darknet缺少某些功能，本次识别采用caffe。

caffe的高性能服务器的配置。

配置opencv,boost,leveldb,gflags,glog,numpy,openblas,python,snappy,lmdb,gcc4.9.4,protobuf,cmake,cuda,cudnn

opencv:下载

tar -xvf opencv.tar.gz
mkdir build
cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/path/to/local .. 
make -j24&&make install

boost:下载

tar -zvf boost.tar.gz
./bootstrap.sh
./b2
cp ./lib/* /path/to/local/lib
cp -rf *8 /path/to/local

leveldb下载:

tar -zvf leveldb.tar.gz
make
cp  out-shared/* /path/to/local
cp out-static/* /path/to/local
cp -rf include /path/to/local

gflags下载：

tar -zvf gflgs.tar.gz
mkdir build&&cd build
cmake -D CMAKE_BUILD_TYPE_RELEASE -D CMAKE_INSTALL_PREFIX=/path/to/local ..
make&&make install

glog下载:

tar -xvf glog.tz
mkdir build
cd build
cmake -D CMAKE_BUILD_TYPE_RELEASE -D CMAKE_INSTALL_PREFIX=/path/to/local ..
make&&make install

python下载：

unzip Python.zip
./configure --prefix=/path/to/local
make&&make install

编辑~/.bashrc

添加

export $PATH=/path/to/local/bin:$PATH
export $LD_LIBRARY_PATH=/path/to/local/include:$LD_LIBRARY_PATH

source ~/.bashrc
python --version

若python为2.7则为正确版本

pip安装：

tar -xvf pip.tar
python setup.py install

numpy下载：

pip install numpy

openblas下载

unzip openblas.zip
mkdir build
cd build
cmake -D BUILD_TYPE_RELEASE -D CMAKE_INSTALL_PREFIX=/path/to/local ..
make&&make install

snappy下载:

tar snappy.tar.gz
mkdir build
cd build
cmake -D BUILD_TYPE_RELEASE -D CMAKE_INSTALL_REFIX=/path/to/local ..
make&&make install

lmdb下载:

make
mv mdb/libraries/liblmdb/*so* /path/to/local/lib
mv mdb/libraries/liblmdb/*.h /path/to/local/include

gcc下载:

./configure --prefix=/path/to/local
make&&make install

protobuf下载：

./configure --prefix=/path/to/local
make&&make install

cmake下载

tar -xvf cmake-3.6.tar.gz
mv bin/* /path/to/local/bin

cudnn下载：

tar -xvf cudnn.bz2
cp include/* /path/to/local/include
cp lib64/* /path/to/local/include

环境变量配置

export PATH=$HOME/cmake-3.6/bin:$PATH
#export PATH=$HOME/gcc-build-4.9.4/bin:$PATH
export PATH=$HOME/cuda-7.5/bin:$PATH
export PATH=$HOME/opencv6/bin:$PATH
export PATH=$HOME/opencv6/include:$PATH
export PATH=$HOME/local/bin:$PATH
export PATH=$HOME/local/include:$PATH
export PATH=$HOME/.local/bin:$PATH
export LD_LIBRARY_PATH=$HOME/cuda-7.5/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$HOME/cuda-7.5/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$HOME/local/lib:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$HOME/local/lib64:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$HOME/.local/lib:$LD_LIBRARY_PATH
#export LD_LIBRARY_PATH=$HOME/cuda/lib64:$LD_LIBRARY_PATH
#export LD_LIBRARY_PATH=$HOME/cuda/include:$LD_LIBRARY_PATH
export LD_LIBRARY_PATH=$HOME/opencv6/lib:$LD_LIBRARY_PATH
export PKG_CONFIG_PATH=$HOME/opencv6/lib/pkgconfig:$PKG_CONFIG_PATH
export PKG_CONFIG_PATH=$HOME/local/lib/pkgconfig:$PKG_CONFIG_PATH
export PKG_CONFIG_PATH=$HOME/local/lib64/pkgconfig:$PKG_CONFIG_PATH

source ~/.bashrc

配置caffe

cp Makefile.config.example Makefile.config

USE_CUDNN := 1前注释去掉

更改CUDA_DIR:

CUDA_DIR := /home/users/zibojia/cuda-7.5

在  -gencode arch=compute_60,code=sm_60 \，

-gencode arch=compute_61,code=sm_61 \，

-gencode arch=compute_61,code=compute_61前面添加注释

更改BLAS

BLAS := open

更改PYTHON_INCLUDE和PYTHON_LIB：

PYTHON_INCLUDE := /home/users/zibojia/local/include/python2.7 \
/home/users/zibojia/.local/lib/python2.7/site-packages/numpy/core/include
PYTHON_LIB := /home/users/zibojia/local/lib

更改INCLUDE_DIRS:

INCLUDE_DIRS := $(PYTHON_INCLUDE)  /home/users/zibojia/local/include /home/users/zibojia/opencv6/include  /home/users/zibojia/cuda-7.5/include
LIBRARY_DIRS := $(PYTHON_LIB) /home/users/zibojia/local/lib /home/users/zibojia/opencv6/lib /home/users/zibojia/cuda-7.5/lib

编译

make all -j100
make test
make runtest