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
目录
打开yolov3的makefile文件就可知道,需要提前加载不少库或环境
- 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
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
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
网站声明:如果转载,请联系本站管理员。否则一切后果自行承担。
加入交流群
请使用微信扫一扫!