Ubuntu18下使用VSCode&&配置Opencv、c++
一、硬件设备
电脑：联想pro13
系统：ubuntu18
二、目标
下载opencv
下载vscode
安装c++必备插件
配置opencv c++文件
三、实现
3.1、下载opencv
下载需要的opencv版本 找到目标版本后点击source安装
！注意opencv2和opencv3版本差别较大，opencv3和opencv4部分函数不通用
3.2、安装cmake
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 update
sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev
3.3、配置（在opencv文件夹下打开终端）
mkdir build
cd build
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr/local ..
make -j4
sudo make install
sudo make
sudo make install
sudo gedit /etc/ld.so.conf.d/opencv.conf
加入 /usr/local/lib
sudo ldconfig
sudo gedit /etc/bash.bashrc
写入
PKG_CONFIG_PATH=$PKG_CONFIG_PATH:/usr/local/lib/pkgconfig
export PKG_CONFIG_PATH
sudo ldconfig
sudo cp /usr/local/include/opencv4/opencv2 /usr/local/include -r
3.4、测试
3.4.1、在终端测试
在opencv文件夹下的/samples/cpp/example_cmake打开终端
依次执行：
cmake .
make
./opencv_example打开摄像头则代表安装成功
3.4.2、在qt中测试
.pro文件
TEMPLATE = app
CONFIG += console c++11
CONFIG -= app_bundle
CONFIG -= qt
SOURCES += main.cpp
INCLUDEPATH += /usr/local/include \
/usr/local/include/opencv
/usr/local/include/opencv2
LIBS += /usr/local/lib/libopencv_* \
调用摄像头
#include
#include
#include
#include
using namespace std;
using namespace cv;
int main()
{
VideoCapture capture (0);
Mat src;
while(1)
{
capture >> src;
imshow("capture",src);
char(key)=(char)waitKey(1);
if(key==27)
break;
}
return 0;
}
3.2、配置VsCode
3.2.1、新建cpp文件,保存
在该文件所在文件夹打开终端输入：code .
3.2.2、配置
a.launch.json文件
（左侧带小虫子的按钮）debug--open configuration--c++(GDB/LLDB)->clang
编辑launch.json文件:
{
// Use IntelliSense to learn about possible attributes.
// Hover to view descriptions of existing attributes.
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "g++ - 生成和调试活动文件",
"preLaunchTask": "build",
"type": "cppdbg",
"request": "launch",
"program": "${workspaceFolder}/run.o",
"args": [],
"stopAtEntry": false,
"cwd": "${workspaceFolder}",
"environment": [],
"externalConsole": false,
"MIMode": "gdb",
"setupCommands": [
{
"description": "为 gdb 启用整齐打印",
"text": "-enable-pretty-printing",
"ignoreFailures": true
}
],
// "preLaunchTask": "C/C++: g++ 生成活动文件",
// "miDebuggerPath": "/usr/bin/gdb"
}
]
}b、task.json文件
{
"version": "2.0.0",
"tasks": [
{
"type": "shell", /* 定义任务是被作为进程运行还是在 shell 中作为命令运行，默认是shell，即是在终端中运行，因为终端执行的就是shell的脚本 */
"label": "build", /* 要与launch.json文件里的preLaunchTask的内容保持一致 */
"command": "/usr/bin/g++", /* 这里填写你的编译器地址 */
"args": [
/* 类似与qt的Pro文件里开始的那几句 */
"-std=c++11",// 静态链接
"-static-libgcc",
"-Wall",// 开启额外警告
/* 说明整个项目所需的头文件路径（.h）*/
"-I","${workspaceFolder}/",
"-I","/usr/local/include/",
"-I","/usr/local/include/opencv4/",
"-I","/usr/local/include/opencv4/opencv2/",
/* 说明整个项目所需的源文件路径(.cpp) */
"-g",
"${workspaceFolder}/main.cpp",/* ${workspaceFolder}表示路径从当前项目文件夹开始 */
"-o", /* 编译输出文件的存放路径 */
"${workspaceFolder}/run.o", /* 要与launch.json文件里的program的内容保持一致 */
/* ${fileDirname} 是指 文件目录名 相当于${workspaceFolder}*/
/* ${fileBasenameNoExtension}意思是指 该路径下没有扩展名的文件基本名称没有扩展名 */
/* 也可以这样："${workspaceFolder}/run.o", */
/* OpenCV的lib库 */
"/usr/local/lib/libopencv_*",
],
"options": {
"cwd": "${workspaceFolder}" /* 调试程序时的工作目录，一般为${workspaceFolder}即代码所在目录 */
},
"problemMatcher": [
"$gcc" /* 要使用的问题匹配程序。 */
],
"group": "build" /* 将任务标记为可通过 "运行生成任务" 命令访问的生成任务。*/
}
]
}c、ctrl+shift+p-->edit configurations(json)-->修改c_cpp_properties,json文件
{
"configurations": [
{
"name": "Linux",
"includePath": [
"${workspaceFolder}/**",
"/usr/local/include/",
"/usr/local/include/opencv4/",
"/usr/local/include/opencv4/opencv2/"
],
"defines": [],
"compilerPath": "/usr/bin/gcc",
"cStandard": "c11",
"cppStandard": "c++14",
"intelliSenseMode": "gcc-x64"
}
],
"version": 4
}测试代码:
#include
#include
#include
using namespace std;
using namespace cv;
int main()
{
cout<<"hello world"<>frame;
imshow("src",frame);
waitKey(27);
}
}