DL之yolov3：使用yolov3算法时需要对Ubuntu系统进行配置的简介、过程步骤之详细攻略

DL之yolov3：使用yolov3算法时需要对Ubuntu系统进行配置的简介、过程步骤之详细攻略

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yolov3算法时需要对Ubuntu系统进行配置的简介

打开yolov3的makefile文件就可知道，需要提前加载不少库或环境

Ubuntu系统进行配置的过程步骤

第一步：安装CUDA

先下载再执行，官网下载地址:
https://developer.nvidia.com/cuda-downloads?target_os=Linux&target_arch=x86_64&target_distro=Ubuntu&target_version=1704&target_type=debnetwork

sudo dpkg -i cuda-repo-ubuntu1704_9.1.85-1_amd64.deb

sudo apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1704/x86_64/7fa2af80.pub

sudo apt-get update

sudo apt-get install cuda

配置cuda环境
export LD_LIBRARY_PATH=/usr/local/cuda-9.1/lib64:$LD_LIBRARY_PATH
export PATH=/usr/local/cuda-9.1/bin:$PATH

第二步：安装OpenCV

wget https://github.com/opencv/opencv_contrib/archive/3.2.0.zip

安装OPENCV2：sudo apt-get install libopencv-dev

安装依赖库

$ 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 libjasper-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
cd opencv-3.2.0

$ mkdir build

cd build
cmake -D CMAKE_BUILD_TYPE=Release -D CMAKE_INSTALL_PREFIX=/usr/local ..
make
make install

第三步：安装并编译darknet

最后，编译即可！

参考文章
https://blog.csdn.net/dream_bluer/article/details/73770743
https://blog.csdn.net/qq_28833741/article/details/53505100
https://blog.csdn.net/u014797226/article/details/78429936