在jetson nano上安装OpenCV4.1.1的完整流程（2）安装CV4.1.1

走完卸载自带CV篇的小伙伴这边请，打开你的终端，按照如下步骤输入信息（声明：这里主体遵循了JetsonHacks的步骤，感谢）

首先新建一个文件夹，假如我的地址为/home/nano/opencv4

# 这是一句变量定义，定义了你要下载CV的绝对位置
OPENCV_SOURCE_DIR=$/home/nano/opencv4

PACKAGE_OPENCV="-D CPACK_BINARY_DEB=ON"

# 遍历命令行输入
while [ "$1" != "" ]; do
    case $1 in
        -s | --sourcedir )      shift
				OPENCV_SOURCE_DIR=$1
                                ;;
        -i | --installdir )     shift
                                /usr/local=$1
                                ;;
        --no_package )          PACKAGE_OPENCV=""
                                ;;
        -h | --help )           usage
                                exit
                                ;;
        * )                     usage
                                exit 1
    esac
    shift
done

CMAKE_INSTALL_PREFIX=/usr/local

# 安装必要的支持包
cd PWD
sudo apt-get install -y \
    build-essential \
    cmake \
    libavcodec-dev \
    libavformat-dev \
    libavutil-dev \
    libeigen3-dev \
    libglew-dev \
    libgtk2.0-dev \
    libgtk-3-dev \
    libjpeg-dev \
    libpng-dev \
    libpostproc-dev \
    libswscale-dev \
    libtbb-dev \
    libtiff5-dev \
    libv4l-dev \
    libxvidcore-dev \
    libx264-dev \
    qt5-default \
    zlib1g-dev \
    pkg-config

# 获得openGL的支持
cd /usr/local/cuda/include
sudo patch -N cuda_gl_interop.h PWD'/patches/OpenGLHeader.patch' 

#python支持，可以只要一个版本
# Python 2.7
sudo apt-get install -y python-dev  python-numpy  python-py  python-pytest
# Python 3.6
sudo apt-get install -y python3-dev python3-numpy python3-py python3-pytest

# GStreamer支持
sudo apt-get install -y libgstreamer1.0-dev libgstreamer-plugins-base1.0-dev

#从GitHub上下载cv4.1.1的两个包（很大，约900M）建议忽略本步，科学上网下载好，传到你的安装目录里
cd $OPENCV_SOURCE_DIR
git clone --branch "4.1.1" https://github.com/opencv/opencv.git
git clone --branch "4.1.1" https://github.com/opencv/opencv_contrib.git

#修补一些库的问题
cd $OPENCV_SOURCE_DIR/opencv
sed -i 's/include <Eigen\/Core>/include <eigen3\/Eigen\/Core>/g' modules/core/include/opencv2/core/private.hpp

#创建build文件夹，用于cmake
cd $OPENCV_SOURCE_DIR/opencv
mkdir build
cd build

#可以按需求自己更改条目以及on、off
time cmake -D CMAKE_BUILD_TYPE=RELEASE \
      -D CMAKE_INSTALL_PREFIX=${CMAKE_INSTALL_PREFIX} \
      -D WITH_CUDA=ON \
      -D CUDA_ARCH_BIN=${ARCH_BIN} \
      -D CUDA_ARCH_PTX="" \
      -D ENABLE_FAST_MATH=ON \
      -D CUDA_FAST_MATH=ON \
      -D WITH_CUBLAS=ON \
      -D WITH_LIBV4L=ON \
      -D WITH_V4L=ON \
      -D WITH_GSTREAMER=ON \
      -D WITH_GSTREAMER_0_10=OFF \
      -D WITH_QT=ON \
      -D WITH_OPENGL=ON \
      -D BUILD_opencv_python2=ON \
      -D BUILD_opencv_python3=ON \
      -D BUILD_TESTS=OFF \
      -D BUILD_PERF_TESTS=OFF \
      -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules \
      $"PACKAGE_OPENCV" \
      ../


#如果成功，终端输出CMake configuration make successful，有时出错，再来一次就好了
if [ $? -eq 0 ] ; then
  echo "CMake configuration make successful"
else
  # Try to make again
  echo "CMake issues " >&2
  echo "Please check the configuration being used"
  exit 1
fi

#开始make
time make -j1

漫长的make过程，本人花费近3小时，据说改过最大交换内存可以提速至1.5h完成，nano是4核的，如果你是从内存卡上装，一定填j1，j4会死机，部分文章说填j8，不会报错，只会死的更快，然后只能从头开始。

中间会有一次bug，不要慌，报错如下

...
Scanning dependencies of target opencv_xfeatures2d
[ 69%] Building CXX object modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/xfeatures2d_init.cpp.o
[ 69%] Building CXX object modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/pct_signatures.cpp.o
[ 69%] Building CXX object modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/affine_feature2d.cpp.o
[ 69%] Building CXX object modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/gms.cpp.o
[ 69%] Building CXX object modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/boostdesc.cpp.o
~/opencv4/opencv_contrib/modules/xfeatures2d/src/boostdesc.cpp:654:37: fatal error: boostdesc_bgm.i: No such file or directory
compilation terminated.
modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/build.make:163: recipe for target 'modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/boostdesc.cpp.o' failed
make[2]: *** [modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/src/boostdesc.cpp.o] Error 1
CMakeFiles/Makefile2:12636: recipe for target 'modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/all' failed
make[1]: *** [modules/xfeatures2d/CMakeFiles/opencv_xfeatures2d.dir/all] Error 2
Makefile:160: recipe for target 'all' failed
make: *** [all] Error 2

解决办法

进入build目录，下载所需要的文件到opencv_contrib/modules/xfeatures2d/src/下，包含的文件有：boostdesc_bgm.i、boostdesc_bgm_bi.i、boostdesc_bgm_hd.i、boostdesc_lbgm.i、boostdesc_binboost_064.i、boostdesc_binboost_128.i、boostdesc_binboost_256.i、vgg_generated_120.i、vgg_generated_64.i、vgg_generated_80.i、vgg_generated_48.i

下载好放入上述目录即可，这里也上传资源辽（好好找不花钱也找的到）

然后，一定执行make

make

即可继续上次进度，如果执行其他，那还得把之前make好的部分做检查，会多费一点点时间

#在终端输入如下，如果成功会打印成功！
if [ $? -eq 0 ] ; then
  echo "OpenCV make successful"
else
  # Try to make again; Sometimes there are issues with the build
  # because of lack of resources or concurrency issues
  echo "Make did not build " >&2
  echo "Retrying ... "
  # Single thread this time
  make
  if [ $? -eq 0 ] ; then
    echo "OpenCV make successful"
  else
    # Try to make again
    echo "Make did not successfully build" >&2
    echo "Please fix issues and retry build"
    exit 1
  fi
fi

如果不成功，在make一次，有时再make一次会解决一些bug，这里给到（丰色木夕前辈的bug解决文章链接：https://me.csdn.net/youlinhuanyan）以示敬仰，虽然执行我的步骤不会有那么多bug，但该博主的bug解决堪称经典

#最后执行make安装
sudo make install
sudo ldconfig

哈哈，到这里就装完了，不放心可以做个小测试

输入 sudo opencv_version

输出4.1.1

完结撒花！

致敬jetsonhacks https://www.jetsonhacks.com/2019/11/22/opencv-4-cuda-on-jetson-nano/

Alex-linger

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在jetson nano上安装OpenCV4.1.1的完整流程（2）安装CV4.1.1

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