前文介绍了使用X86 PC交叉编译OpenCV的过程，因为交叉编译后的imgShow GTK2.0 Error始终无法得到解决，故现在使用本地OpenCV编译方式。留作记录，方便以后复现。

开发环境：ARM开发板 ToyBrick RK3399PRO_X， Debain10， OpenCV 3.4

*可选前置步骤，更换国内源

修改/etc/apt/sources.list 文件，笔者选择的是阿里源

#  阿里源
deb http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-security main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-updates main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-proposed main restricted universe multiverse
deb-src http://mirrors.aliyun.com/ubuntu/ bionic-backports main restricted universe multiverse

第一步：更新系统

sudo apt-get update && sudo apt-get upgrade

第二步：安装依赖项

依赖项，视情况而定。事实上，OpenCV的依赖项很多，缺少某些依赖项会影响OpenCV部分功能。OpenCV会在make阶段检测依赖项是否会安装，并自我调整功能。

$ sudo apt-get install build-essential cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev 
$ sudo apt-get install libjpeg-dev libpng-dev libtiff5-dev libjasper-dev libdc1394-22-dev libeigen3-dev libtheora-dev libvorbis-dev libxvidcore-dev libx264-dev sphinx-common libtbb-dev yasm libfaac-dev libopencore-amrnb-dev libopencore-amrwb-dev libopenexr-dev libgstreamer-plugins-base1.0-dev libavutil-dev libavfilter-dev libavresample-dev

某依赖项安装有问题时，请自行搜索解决。如依赖包，libjasper-dev

sudo add-apt-repository "deb http://security.ubuntu.com/ubuntu xenial-security main"
sudo apt update
sudo apt install libjasper1 libjasper-dev

重复之前的操作，即可运行。

第三步：下载OpenCV

在github官网选择对应版本下载即可。

第四步：编译和安装OpenCV

进入第三步下载的或者解压的opencv文件夹，利用cmake生成makefile，当然有很多的选择项设置，具体可以查看cmakelist文件中的帮助信息，对于我们来说这些就足够了，其实默认也可以，即直接使用如下选择项。

/opt$ cd opencv
/opt/opencv$ mkdir build
/opt/opencv$ cd build
/opt/opencv/build$ cmake -D BUILD_TIFF=ON -D WITH_CUDA=OFF -D ENABLE_AVX=OFF -D WITH_OPENGL=OFF -D WITH_OPENCL=OFF -D WITH_IPP=OFF -D WITH_TBB=ON -D BUILD_TBB=ON -D WITH_EIGEN=OFF -D WITH_V4L=OFF -D WITH_VTK=OFF -D BUILD_TESTS=OFF -D BUILD_PERF_TESTS=OFF -D CMAKE_BUILD_TYPE=RELEASE -D WITH_GTK=ON -D WITH_GTK2.0=ON -D CMAKE_INSTALL_PREFIX=/usr/local/opencvlocal/ OPENCV_EXTRA_MODULES_PATH=/opt/opencv_contrib/modules /opt/opencv/ ..
/opt/opencv/build$ make -j4 # multi task
/opt/opencv/build$ make install
/opt/opencv/build$ ldconfig
/opt/opencv/build$ exit # exit root
/opt/opencv/build$ cd ~

如果ldconfig提示没有此指令，则直接去目录运行：

/sbin/ldconfig

如果不修改CMakeLists文件，则Opencv默认的安装位置:

/usr/local/include/opencv2/ #新版Opencv核心头文件
/usr/local/include/opencv/ #旧Opencv核心头文件
/usr/local/share/OpenCV/ #一些Opencv其他安装信息
/usr/local/lib/ #Opencv中的动态链接库存放位置

第五步：检测安装

pkg-config --modversion opencv
3.4.0

第六步：测试

#include <opencv2/opencv.hpp>
#include <opencv2/videoio.hpp>
#include <stdio.h>


using namespace cv;
using namespace std;

int main(){

	VideoCapture capture(0);

	while(true){
		Mat frame;
		capture >> frame;
		imshow("Read Camera", frame);
		waitKey(30);
	}
	
	return 0;
}

编译运行：

g++ camera.cpp -o output `pkg-config --cflags --libs opencv`
./output

参考：

Ubuntu 18.04 LTS 安装OpenCV (C/C++)

https://blog.csdn.net/weixin_44278406/article/details/103619191

bash: ldconfig: command not found

https://blog.csdn.net/weixin_43570089/article/details/98733129

【opencv】64位ARM提示：errorE: unable to locate libjasper-dev

https://blog.csdn.net/u011622208/article/details/105252720

解决GPG error: The following signatures couldn’t be verified because the public key is not available

https://blog.csdn.net/zhuiqiuzhuoyue583/article/details/90597499

• ARM
• Linux
• OpenCV