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agx编译cuda版opencv4.5.2

作者:互联网

参考https://github.com/mdegans/nano_build_opencv

1、下载opencv和opencv_contrib包

2、卸载原先opencv

sudo apt-get purge libopencv*

3、安装依赖

sudo apt-get install build-essential pkg-config libgtk2.0-dev libavcodec-dev libavformat-dev libjpeg-dev libswscale-dev libtiff5-dev

sudo apt-get install qtbase5-dev

sudo apt-get install qtdeclarative5-dev

4、拷贝opencv_contrib到opencv目录下

5、cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local/ -D OPENCV_EXTRA_MODULES_PATH=../opencv_contrib/modules -D CUDA_ARCH_BIN='7.2' -D WITH_CUDA=1 -D WITH_V4L=ON -D WITH_QT=ON -D WITH_OPENGL=ON -D CUDA_FAST_MATH=1 -D WITH_CUBLAS=1 -D OPENCV_GENERATE_PKGCONFIG=1 -D WITH_GTK_2_X=ON ..

需要根据实际情况修改contrib路径OPENCV_EXTRA_MODULES_PATH

可以参考以下配置进行选择

sudo apt-get install -y \

build-essential \

cmake \

git \

gfortran \

libatlas-base-dev \

libavcodec-dev \

libavformat-dev \

libavresample-dev \

libcanberra-gtk3-module \

libdc1394-22-dev \

libeigen3-dev \

libglew-dev \

libgstreamer-plugins-base1.0-dev \

libgstreamer-plugins-good1.0-dev \

libgstreamer1.0-dev \

libgtk-3-dev \

libjpeg-dev \

libjpeg8-dev \

libjpeg-turbo8-dev \

liblapack-dev \

liblapacke-dev \

libopenblas-dev \

libpng-dev \

libpostproc-dev \

libswscale-dev \

libtbb-dev \

libtbb2 \

libtesseract-dev \

libtiff-dev \

libv4l-dev \

libxine2-dev \

libxvidcore-dev \

libx264-dev \

pkg-config \

python-dev \

python-numpy \

python3-dev \

python3-numpy \

python3-matplotlib \

qv4l2 \

v4l-utils \

v4l2ucp \

zlib1g-dev







cmake

-D BUILD_EXAMPLES=OFF

-D BUILD_opencv_python2=ON

-D BUILD_opencv_python3=ON

-D CMAKE_BUILD_TYPE=RELEASE

-D CMAKE_INSTALL_PREFIX=${PREFIX}

-D CUDA_ARCH_BIN=5.3,6.2,7.2

-D CUDA_ARCH_PTX=

-D CUDA_FAST_MATH=ON

-D CUDNN_VERSION='8.0'

-D EIGEN_INCLUDE_PATH=/usr/include/eigen3

-D ENABLE_NEON=ON

-D OPENCV_DNN_CUDA=ON

-D OPENCV_ENABLE_NONFREE=ON

-D OPENCV_EXTRA_MODULES_PATH=/tmp/build_opencv/opencv_contrib/modules

-D OPENCV_GENERATE_PKGCONFIG=ON

-D WITH_CUBLAS=ON

-D WITH_CUDA=ON

-D WITH_CUDNN=ON

-D WITH_GSTREAMER=ON

-D WITH_LIBV4L=ON

-D WITH_OPENGL=ON"

..

如果编译时下载很慢,可以手动下载boost_desc那些文件并拷贝到opencv/build/download/xfeature2d下面

6、sudo make -j4

7、sudo make install

 

 

 

 

 

 

标签:sudo,OPENCV,opencv4.5,dev,opencv,CUDA,agx,get,cuda
来源: https://blog.csdn.net/qq_17127427/article/details/115860038