在mac上使用sublime text3搭建opencv3开发环境

时间:2021-07-08 13:24:11

安装sublime text3

打开mac终端,安装brew

安装opencv3,终端输入下面的coomand:

brew install opencv@3

注意:@3表示安装的版本,如果不加@3,那么会默认安装最新的版本;建议安装版本3。

在sublime text3中添加build system

Tools->Build System->New Build System...

复制下面的code到新建的.sublime-build文件

{
"cmd": ["g++", "-Wall", "-Wextra", "${file}", "-o", "${file_path}/${file_base_name}",
"-I/usr/local/Cellar/opencv@3/3.4.5_2/include/opencv",
"-I/usr/local/Cellar/opencv@3/3.4.5_2/include",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_calib3d.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_core.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_features2d.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_flann.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_highgui.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_imgcodecs.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_imgproc.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_ml.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_objdetect.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_photo.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_stitching.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_video.dylib",
"/usr/local/Cellar/opencv@3/3.4.5_2/lib/libopencv_videostab.dylib"],
"file_regex": "^(..[^:]*):([0-9]+):?([0-9]+)?:? (.*)$",
"working_dir": "${file_path}",
"selector": "source.c, source.c++", "variants":
[{
"name": "Run",
"cmd": ["bash", "-c", "g++ '${file}' -o '${file_path}/${file_base_name}' `/usr/bin/pkg-config --cflags --libs /usr/Local/Cellar/opencv@3/3.4.5_2/lib/pkgconfig/opencv.pc` && '${file_path}/${file_base_name}' "]
}]
}

保存,注意扩展名是.sublime-build,我这里取名是opencv.sublime-build,勾选新建的build system,作为build opencv code的指令。

在mac上使用sublime text3搭建opencv3开发环境

hello opencv测试

#include <opencv2/opencv.hpp>

using namespace std;
using namespace cv; int main()
{
//从文件中读入图像
Mat img = imread("1.jpeg");
//如果读入图像失败
if(img.empty())
{
fprintf(stderr, "Can not load image!\n");
return -;
}
//显示图像
imshow("original picture", img);
//此函数等待按键,按键盘任意键就返回
waitKey();
return ;
}

在sublime text中使用快捷键command+B,build测试用例,输出结果如下:

在mac上使用sublime text3搭建opencv3开发环境