[C++][原创]opencv中CommandLineParser使用

Posted 2022-11-18 FL1623863129

#include <iostream>
#include <string>
#include <sstream>
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/videoio.hpp>    
#include <opencv2/opencv.hpp> 

using namespace std;
using namespace cv;

const char* keys =

	"help h usage ? | | print this message"
	"@video | | Video file, if not defined try to use webcamera"
	"@image1 | | image1 for compare "
	"@image2 | | image2 for compare "
	"@repeat |1 | number "
	"path |. | path to file "
	"fps | -1.0 | fps for output video "
	"N count |100 | count of objects "
	"ts timestamp | | use time stamp "
;

int main(int argc, const char** argv)            //程序主函数

	CommandLineParser parser(argc, argv, keys);
	parser.about("Video Capture");

	if (parser.has("help"))                      //帮助信息
	
		parser.printMessage();
		return 0;
	
	String videoFile = parser.get<String>(0);
	std::cout << videoFile << std::endl;
	int N = parser.get<int>("N");
	double fps = parser.get<double>("fps");
	String path = parser.get<String>("path");
	std::cout << path << std::endl;
	auto use_time_stamp = parser.has("timestamp");
	
	return 0;

理解：

（1）参数里面有@就是按参数索引获取，比如@video.命令行输入main.exe D:\\car.mp4这样不用参数修饰符

（2）参数没有@要加修饰符，比如main.exe --path D:\\car.mp4这样需要加--path修饰符这样就可以解析到对应参数

参考文献：CommandLineParser类（命令行解析类）_Alba_126的博客-CSDN博客_commandlineparser