第五周。
本次由於不確定網路型別，本次選用googlenetv2,alexnet,darknet19三種網路模型
由於darknet缺少某些功能，本次識別採用caffe。
caffe的高效能伺服器的配置。
tar -xvf opencv.tar.gz
mkdir build
cmake -d cmake_build_type=release -d cmake_install_prefix=/path/to/local ..
make -j24&&make install
tar -zvf boost.tar.gz
./bootstrap.sh
./b2
cp ./lib/* /path/to/local/lib
cp -rf *8 /path/to/local
tar -zvf leveldb.tar.gz
make
cp out-shared/* /path/to/local
cp out-static/* /path/to/local
cp -rf include /path/to/local
tar -zvf g***s.tar.gz
mkdir build&&cd build
cmake -d cmake_build_type_release -d cmake_install_prefix=/path/to/local ..
make&&make install
tar -xvf glog.tz
mkdir build
cd build
cmake -d cmake_build_type_release -d cmake_install_prefix=/path/to/local ..
make&&make install
unzip python.zip
./configure --prefix=/path/to/local
make&&make install
新增
export $path=/path/to/local/bin:$path
export $ld_library_path=/path/to/local/include:$ld_library_path
source ~/.bashrc
python --version
pip安裝：
tar -xvf pip.tar
python setup.py install
pip install numpyunzip openblas.zip
mkdir build
cd build
cmake -d build_type_release -d cmake_install_prefix=/path/to/local ..
make&&make install
cd build
cmake -d build_type_release -d cmake_install_refix=/path/to/local ..
make&&make install
make
mv mdb/libraries/liblmdb/*so* /path/to/local/lib
mv mdb/libraries/liblmdb/*.h /path/to/local/include
./configure --prefix=/path/to/local
make&&make install
./configure --prefix=/path/to/local
make&&make install
tar -xvf cmake-3.6.tar.gz
mv bin/* /path/to/local/bin
tar -xvf cudnn.bz2
cp include/* /path/to/local/include
cp lib64/* /path/to/local/include
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
配置caffe
cp makefile.config.example makefile.config更改cuda_dir:
cuda_dir := /home/users/zibojia/cuda-7.5-gencode arch=compute_61,code=sm_61 \，
-gencode arch=compute_61,code=compute_61前面新增注釋
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
make all -j100
make test
make runtest
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