云服务器配置opencv+caffe(CPU版本) – Python量化投资

云服务器配置opencv+caffe(CPU版本)


opencv安装

1、环境依赖:

sudo apt-get install build-essential

sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev

sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff5-dev libdc1394-22-dev         # 处理图像所需的包

sudo apt-get install libavcodec-dev libavformat-dev libswscale-dev libv4l-dev liblapacke-dev

sudo apt-get install libxvidcore-dev libx264-dev        # 处理视频所需的包

sudo apt-get install libatlas-base-dev gfortran          # 优化opencv功能

sudo apt-get install ffmpeg

2、编译

下载对应的opencv安装包

解压安装包:unzip opencv-3.4.5.zip

mkdir build

cd build

cmake ..

make -j4

sudo make install

caffe安装

1、安装依赖

sudo apt-get install libprotobuf-dev libleveldb-dev libsnappy-dev libopencv-dev libhdf5-serial-dev protobuf-compiler

sudo apt-get install –no-install-recommends libboost-all-dev

sudo apt-get install libgflags-dev libgoogle-glog-dev liblmdb-dev

sudo apt-get install libatlas-base-dev

sudo apt-get install python-dev

2.下载Caffe

使用Git直接下载Caffe非常简单,或者去https://github.com/BVLC/caffe下载。由于我习惯去github上找代码,所以就直接去下载的源码。

下载完成后,会在家目录下的下载里找到caffe-master.zip,用unzip命令解压到家目录下,然后重命名为caffe.

3.编译Caffe

(1)切换到Caffe所在目录

cp Makefile.config.example Makefile.config

(2)修改配置文件Makefile.config

CPU_ONLY := 1

配置一些引用文件(增加部分主要是解决新版本下,HDF5的路径问题)

INCLUDE_DIRS := $(PYTHON_INCLUDE)  /usr/local/include/usr/include/hdf5/serial

LIBRARY_DIRS := $(PYTHON_LIB)  /usr/local/lib  /usr/lib/usr/lib/x86_64-linux-gnu/hdf5/serial

BLAS := atlas

(3)编译 Caffe

make all -j8

make test -j8

make runtest -j8

4、编译python接口

make pycaffe -j8

显示下面则表示编译成功

CXX/LD -o python/caffe/_caffe.so python/caffe/_caffe.cpp

touch python/caffe/proto/__init__.py

PROTOC (python) src/caffe/proto/caffe.proto

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