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// 单目标对空跟踪流程测试，关注跟踪器FPS
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#include "NeoArithStandardDll.h"
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#include "utils.h"
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#include <iostream>
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#include <memory>
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#include <string.h>
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#include <algorithm>
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#include <thread>
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#include "opencv2/opencv.hpp"
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#include "TestAPI_Profile.h"
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using std::cout;
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using std::endl;
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#define Test_Len 1000
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int TestAPI_SOT_Sky_Y16()
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{
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// 产生一个仿真Y16数据
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int nWidth = 640;
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int nHeight = 512;
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SimTargetImage factory(nWidth, nHeight);
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factory.setBackGround(120, 0);
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// 叠加一个初始目标
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Target t;
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t.x = 100;
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t.y = 100;
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t.width = 3;
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t.height = 3;
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t.vw = 0;
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t.vh = 0;
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t.vx = 1;
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t.vy = 1;
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t.color = cv::Scalar(255,255,255);
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factory.addTarget(t);
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//t.addTexture(cow_png,cow_png_len);
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// 创建算法句柄
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ArithHandle pTracker = STD_CreatEOArithHandle();
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// 初始化为凝视-对空模式
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ARIDLL_EOArithInitWithMode(pTracker,nWidth,nHeight,GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_GRAY_Y16,
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GLB_SYS_MODE::GLB_SYS_STARE,GLB_SCEN_MODE::GLB_SCEN_SKY);
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// 算法输入部分
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ARIDLL_INPUTPARA stInputPara = { 0 };
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stInputPara.unFrmId++;
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stInputPara.stCameraInfo.fPixelSize = 15;
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stInputPara.stCameraInfo.nFocus = 300;
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// 算法输出部分
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ARIDLL_OUTPUT stOutput = { 0 };
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// 模拟算法执行流程
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int nTrackSuc = 0;
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for (int i = 0; i < Test_Len; i++)
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{
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stInputPara.unFrmId++;
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factory.update();
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cv::Mat src = factory.getImageY16();
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Target* gt = factory.getTarget(0);
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// 下发点锁定指令
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if (i == 5)
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{
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ARIDLL_LockCommand(pTracker, (int)gt->x, (int)gt->y,0,0);
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}
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// 构建图像类型
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GD_VIDEO_FRAME_S img = { 0 };
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img.enPixelFormat = GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_GRAY_Y16;
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img.u32Width = nWidth;
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img.u32Height = nHeight;
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img.u32Stride[0] = img.u32Width * 2;
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img.u64VirAddr[0] = (UBYTE8*)src.data;
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// 红外目标检测API调用
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int targetNum = 0;
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// 目标搜索仅在搜索状态执行，保持与经典对空算法一致，用于与上一版本耗时对比
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// 新跟踪器中搜索在单独线程中不间断执行，本demo中仅展示用法，不做并行示范。
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//if (stOutput.nStatus == GLB_STATUS_SEARCH)
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{
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targetNum = ARIDLL_SearchFrameTargets(pTracker, img);
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}
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// 运行算法主控逻辑API
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ARIDLL_RunController(pTracker, img, stInputPara, &stOutput);
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std::cout << gt->x << " " << gt->y << std::endl;
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#ifdef SHOW
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// 绘制跟踪结果
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cv::Mat rgb = factory.getImageRGB();
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showArithInfo(rgb,&stOutput);
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imshow("res",rgb);
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cv::waitKey(1);
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#endif
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if (stOutput.nStatus == GLB_STATUS_TRACK && stOutput.nTrackObjCnts == 1)
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{
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if (abs(stOutput.stTrackers[0].nX - gt->x) < 5 &&
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abs(stOutput.stTrackers[0].nY - gt->y) < 5)
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{
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nTrackSuc++;
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}
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}
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}
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if (nTrackSuc > Test_Len * 0.9)
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{
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cout << "pass" << endl;
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}
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printf("Suc:%d/A:%d\n",nTrackSuc,Test_Len);
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return 0;
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} |
