// 单目标对空跟踪流程测试，关注跟踪器FPS

#include "NeoArithStandardDll.h"
#include "utils.h"
#include <iostream>
#include <memory>
#include <string.h>
#include <algorithm>
#include <thread>
#include "opencv2/opencv.hpp"
using std::cout;
using std::endl;
int main()
{
    // 产生一个仿真Y16数据
	int nWidth = 640;
	int nHeight = 512;
	SimTargetImage_Y16 factory(nWidth, nHeight);
	factory.setBackGround(5000, 10);


    // 创建算法句柄
	ArithHandle pTracker = STD_CreatEOArithHandle();
    // 初始化为凝视-对空模式
	ARIDLL_EOArithInitWithMode(pTracker,nWidth,nHeight,GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_GRAY_Y16,
	GLB_SYS_MODE::GLB_SYS_STARE,GLB_SCEN_MODE::GLB_SCEN_SKY);

    // 算法输入部分
	ARIDLL_INPUTPARA stInputPara = { 0 };
	stInputPara.unFrmId++;
	stInputPara.stCameraInfo.fPixelSize = 15;
	stInputPara.stCameraInfo.nFocus = 300;

    // 算法输出部分
	ARIDLL_OUTPUT stOutput = { 0 };


    // 模拟算法执行流程
	int nDetSuc = 0;
	for (int i = 0; i < 300; i++)
	{
		stInputPara.unFrmId++;

        // 创建小目标
		factory.setBackGround(5000, 10);

		int X0 = 20;
		int Y0 = 20;
		// 叠加一串小目标
		for (int i = 0; i < 10; i++)
		{
			factory.addTarget(X0 + i * 30, Y0 + i * 30, 3, 3, 6500);
		}

		// 叠加两个面目标
		factory.addTarget(80, 400 , 7, 9, 7500);
		factory.addTarget(400, 80 , 9, 6, 7500);

		// 创建

        // 构建图像类型
		GD_VIDEO_FRAME_S img = { 0 };
		img.enPixelFormat = GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_GRAY_Y16;
		img.u32Width = nWidth;
		img.u32Height = nHeight;
		img.u32Stride[0] = img.u32Width * 2;
		img.u64VirAddr[0] = (UBYTE8*)factory.getImageData();


		// 红外目标检测API调用
		int targetNum = 0;
        targetNum = ARIDLL_SearchFrameTargets(pTracker, img);


		if (targetNum ==12)
		{
			nDetSuc++;
		}
		
	}

	if (nDetSuc > 1)
	{
		cout << "pass" << endl;
	}


	return 0;
}