悠闲の小屋

ubuntu多版本管理

默认已安装 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 libtiff-dev libjasper-dev libdc1394-22-dev

#管理GCC

  1. 前提是安装了多个gcc版本，可采取如下命令

sudo apt-get install gcc-11 g++-11

  1. 然后选择要使用的gcc版本

update-alternatives --config gcc

  1. 输入你想使用的版本的序号，如1
  2. 查看当前版本

gcc -v

参考链接

#管理opencv

  1. 下载源文件，本文选的是opencv3.4.15 source版本
  2. 在任意目录下创建存放opencv安装路径
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conda deactivate
mkdir otherpackages
cd otherpackages
mkdir opencv3.4.15
  1. 解压缩opencv-3.4.15.zip文件
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cd opencv-3.4.15
mkdir build
cd build
  1. cmake opencv
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cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX="/home/yourusername/otherpackages/opencv3.4.15"  ..
  1. 编译 && 安装
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make -j8 && sudo make install

没报其他错误的话，OpenCV已经顺利被安装到自定义路径otherpackages/opencv3.4.15中了

  1. 使用opencv
    1. 将otherpackages中的opencv3.4.15复制到项目路径
      1. 在qt.pro中粘贴代码
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      INCLUDEPATH += ./opencv3415/include \
            ./opencv3415/include/opencv \
            ./opencv3415/include/opencv2

LIBS += -L./opencv3415/lib -lopencv_core -lopencv_highgui \
      -lopencv_imgcodecs -lopencv_imgproc -lopencv_videoio \
      1. 如果是cmake
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      include_directories(
${CMAKE_SOURCE_DIR}/./opencv3415/include
)

set(link_libs  ${CMAKE_SOURCE_DIR}/./opencv3415/lib/libopencv_core.so
            ${CMAKE_SOURCE_DIR}/./opencv3415/lib/libopencv_highgui.so
            ${CMAKE_SOURCE_DIR}/./opencv3415/lib/libopencv_imgcodecs.so
            ${CMAKE_SOURCE_DIR}/./opencv3415/lib/libopencv_imgproc.so
            ${CMAKE_SOURCE_DIR}/./opencv3415/lib/libopencv_videoio.so
)

add_executable(main  ./main.cpp)
target_link_libraries(main ${link_libs})

参考博客

#管理cuda

  1. 删除原软链接

cd /usr/local

sudo unlink cuda

  1. 建立新链接

sudo ln -snf /usr/local/cuda-xx /usr/local/cuda

cuda-xx是文件夹名

  1. 查看当前版本

nvcc -V

参考链接