Ubuntu16.04下Python OpenCV with CUDA 安装及配置环境下载安装依赖库编译参考

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我是靠谱客的博主伶俐八宝粥，最近开发中收集的这篇文章主要介绍Ubuntu16.04下Python OpenCV with CUDA 安装及配置环境下载安装依赖库编译参考，觉得挺不错的，现在分享给大家，希望可以做个参考。

概述

未完成！！！！！！这篇有问题！！！！！不要按这个内容做！！！可以看参考链接里的都不错！！！

环境

Ubuntu 16.04
python 2.7（系统自带的！不要用Anaconda装会踩坑详见参考4，但我按参考4的方法调整了还是不行，无奈之下搞了一个新的docker环境来装opencv）
CUDA 8.0

下载

mkdir opencv_cuda
cd opencv_cuda
git clone https://github.com/opencv/opencv.git
cd opencv
git checkout -b 3.1.0

cd ..
git clone https://github.com/opencv/opencv_contrib.git
cd opencv_contrib
git checkout -b 3.1.0

安装依赖库

apt-get install software-properties-common python-software-properties
apt-add-repository universe
apt-get update
apt install -y 
        x264 
        mesa-utils 
        libgtk2.0-dev 
        libxvidcore-dev 
        yasm 
        libxine2-dev 
        libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev 
        libv4l-dev 
        libfaac-dev 
        libmp3lame-dev 
        libopencore-amrnb-dev 
        libtheora-dev 
        libvorbis-dev 
        ffmpeg 
        libpng-dev 
        libdc1394-22-dev 
        qt5-default 
        libtiff5-dev 
        libeigen3-dev libeigen3-doc 
        tesseract-ocr 
        tesseract-ocr-jpn 
        vtk6 
        tcl-vtk6 
        python-vtk6 
        libgflags-dev 
        libleptonica-dev 
        libtesseract-dev 
        gphoto2 
        liblapacke-dev 
        libgoogle-glog-dev 
        libprotobuf-dev 
        libprotoc-dev 
        protobuf-compiler 
        ccache 
        libgphoto2-dev 
        libavresample-dev 
        libvtk6-dev 
        libvtk6-qt-dev 
        libatlas-base-dev 
        gfortran

sudo apt-get install python-dev python-numpy python-py python-pytest
sudo apt-get install cmake

cd ../opencv
mkdir build
cd build

编译

cmake .. 
-DCMAKE_BUILD_TYPE=Release
-DCMAKE_INSTALL_PREFIX=/usr/local
-DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules
-DBUILD_DOCS=ON
-DBUILD_EXAMPLES=ON
-DWITH_TBB=ON
-DBUILD_TIFF=OFF
-DWITH_GDAL=ON
-DWITH_LIBV4L=ON
-DPYTHON_DEFAULT_EXECUTABLE=/usr/bin/python2
-DWITH_CUDA=ON -DWITH_CUBLAS=ON -DCUDA_NVCC_FLAGS="-D_FORCE_INLINES"
-DWITH_OPENCL=OFF
-DWITH_VTK=OFF
-DBUILD_opencv_python2=ON 
-DBUILD_opencv_python3=OFF 
-DBUILD_opencv_xfeatures2d=OFF 
-DCUDA_TOOLKIT_ROOT_DIR=/usr/local/cuda-8.0 
-DCUDA_ARCH_BIN='3.0 3.5 5.0 6.0 6.2' 
-DWITH_IPP=ON 
-DWITH_EIGEN=ON

这里如果出现ippicv_linux_20151201.tgz下载超时的错误，可以手动下载ippicv_linux_20151201.tgz
下载完后替换opencv-3.1.0/3rdparty/ippicv/downloads/linux-*目录下的同名文件，重新cmake

make -j8

参考

[1] OpenCV官方文档
[2] Build/Compile OpenCV v3.3 on Windows with CUDA 8.0, Intel MKL+TBB and python bindings
[3] Ubuntu16.04+cuda8.0rc+opencv3.1.0+caffe+Theano+torch7搭建教程
[4] ubuntu 18.04编译opencv3.4.3 with python3.6 cuda9.2 gdal
[5] ICV: Downloading ippicv_linux_20151201.tgz 超时
[6] OpenCV使能CUDA加速