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// 单目标对地跟踪流程测试:将TLD从算法中剥离到外部，导致API调用形式调整int argc,char *argv[]
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// 读取avi视频进行测试
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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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using std::cout;
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using std::endl;
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using std::string;
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int main(int argc,char *argv[])
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{
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cv::VideoCapture capture(argv[1]);
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printf("argv[0]:%s\n",argv[1]);
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int nWidth = int(capture.get(cv::CAP_PROP_FRAME_WIDTH));
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int nHeight = int(capture.get(cv::CAP_PROP_FRAME_HEIGHT));
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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-对地模式
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ARIDLL_EOArithInitWithMode(pTracker,nWidth,nHeight,GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_RGB_PACKED,
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GLB_SYS_MODE::GLB_SYS_STARE,GLB_SCEN_MODE::GLB_SCEN_GROUND);
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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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cv::Mat frame;
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while(1)
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{
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stInputPara.unFrmId++;
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capture.read(frame);
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if(frame.empty())
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break;
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// 下发面锁定指令
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if (stInputPara.unFrmId == 10)
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{
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ARIDLL_LockCommand(pTracker, 228*2,279*2,40,25);
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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_RGB_PACKED;
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img.u32Width = nWidth;
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img.u32Height = nHeight;
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img.u32Stride[0] = img.u32Width * 3;
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img.u64VirAddr[0] = frame.data;
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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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auto trackerOut = stOutput.stTrackers[0];
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cv::Rect outRect;
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outRect.width = MAX(15,(int)trackerOut.nObjW);
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outRect.height= MAX(15, (int)trackerOut.nObjH);
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outRect.x = (int)trackerOut.nX-outRect.width/2;
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outRect.y = (int)trackerOut.nY-outRect.height/2;
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cv::rectangle(frame,outRect,cv::Scalar(0,0,255));
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//cv::resize(frame,frame,cv::Size(nWidth/2,nHeight/2));
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//imshow("res",frame);
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//cv::waitKey(2);
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}
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if(fabs(stOutput.stTrackers[0].nX - 1508) < 20 &&
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fabs(stOutput.stTrackers[0].nY - 750) < 20)
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{
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cout << "pass" << endl;
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}
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return 0;
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}
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