Problems encountered in vscode deployment yolov5 model

code show as below:

#pragma once
#include <iostream>
#include <opencv2/opencv.hpp>

#ifndef YOLOV5
#define YOLOV5 false  //true:Yolov5, false:yolov7
#endif 

#ifndef YOLO_P6
#define YOLO_P6 false //是否使用P6模型
#endif 



struct Output {
	int id;             //结果类别id
	float confidence;   //结果置信度
	cv::Rect box;       //矩形框
};

class Yolo {
public:
	Yolo() {
	}
	~Yolo() {}
	bool readModel(cv::dnn::Net& net, std::string& netPath, bool isCuda);
	bool Detect(cv::Mat& SrcImg, cv::dnn::Net& net, std::vector<Output>& output);
	void drawPred(cv::Mat& img, std::vector<Output> result, std::vector<cv::Scalar> color);

private:

	float sigmoid_x(float x)
	{
		return static_cast<float>(1.f / (1.f + exp(-x)));
	}
#if(defined YOLO_P6 && YOLO_P6==true)

#if(defined YOLOV5 && YOLOV5==false)
	const float netAnchors[4][6] = { { 19,27,  44,40,  38,94 },{96,68,  86,152,  180,137} ,{140,301,  303,264,  238,542}, { 436,615,  739,380,  925,792 } };//yolov7-P6 anchors
#else
	const float netAnchors[4][6]= { { 19,27, 44,40, 38,94 },{ 96,68, 86,152, 180,137 },{ 140,301, 303,264, 238,542 },{ 436,615, 739,380, 925,792 } }; //yolov5-P6 anchors
#endif
	const int netWidth = 1280;  //ONNX图片输入宽度
	const int netHeight = 1280; //ONNX图片输入高度
	const int strideSize = 4;  //stride size
#else
#if(defined YOLOV5 && YOLOV5==false)
	const float netAnchors[3][6] = { {12, 16, 19, 36, 40, 28},{36, 75, 76, 55, 72, 146},{142, 110, 192, 243, 459, 401} }; //yolov7-P5 anchors
#else
	const float netAnchors[3][6] = { { 10, 13, 16, 30, 33, 23 }, { 30, 61, 62, 45, 59, 119 }, { 116, 90, 156, 198, 373, 326 } };//yolov5-P5 anchors
#endif
	const int netWidth = 640;   //ONNX图片输入宽度
	const int netHeight = 640;  //ONNX图片输入高度
	const int strideSize = 3;   //stride size
#endif // YOLO_P6

	const float netStride[4] = { 8, 16.0,32,64 };

	float boxThreshold = 0.25;
	float classThreshold = 0.25;
	float nmsThreshold = 0.45;
	float nmsScoreThreshold = boxThreshold * classThreshold;

	std::vector<std::string> className = { "person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light",
		"fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow",
		"elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee",
		"skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard",
		"tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple",
		"sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch",
		"potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone",
		"microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear",
		"hair drier", "toothbrush" };
};

#include<math.h>

#define USE_CUDA true //use opencv-cuda

using namespace std;
using namespace cv;
using namespace dnn;


int main()
{
	system("pause");
	std::cout<<"enter yolo "<<std::endl;
	string img_path = "./images/bus.jpg";

#if(defined YOLOV5 && YOLOV5==true)
	string model_path = "models/yolov5s.onnx";
#else
	string model_path = "models/yolov7.onnx";
#endif


	Yolo test;
	Net net;
	if (test.Yolo::readModel(net, model_path, USE_CUDA)) {
		cout << "read net ok!" << endl;
	}
	else {
		cout << "read onnx model failed!";
		return -1;
	}

	//生成随机颜色
	vector<Scalar> color;
	srand(time(0));
	for (int i = 0; i < 80; i++) {
		int b = rand() % 256;
		int g = rand() % 256;
		int r = rand() % 256;
		color.push_back(Scalar(b, g, r));
	}
	vector<Output> result;
	Mat img = imread(img_path);

	if (test.Detect(img, net, result)) {
		test.drawPred(img, result, color);

	}
	else {
		cout << "Detect Failed!" << endl;
	}
	std::cout<<"detected failed "<<std::endl;
	system("pause");
	return 0;
}

During this process, many problems were encountered. First, the "args" option in taks.json, of which 

"-g",
"${fileDirname}\\*.cpp",

Writing like this means compiling all .cpp files under the compiled file. If it is .c, it will compile all c files. If you don’t write this way, it will only compile main.cpp, and an error will be reported.