// 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[] // 读取avi视频进行测试 #include "NeoArithStandardDll.h" #include "utils.h" #include #include #include #include #include #include "opencv2/opencv.hpp" using std::cout; using std::endl; using std::string; int main(int argc,char *argv[]) { cv::VideoCapture capture(argv[1]); printf("argv[0]:%s\n",argv[1]); int nWidth = int(capture.get(cv::CAP_PROP_FRAME_WIDTH)); int nHeight = int(capture.get(cv::CAP_PROP_FRAME_HEIGHT)); // 创建算法句柄 ArithHandle pTracker = STD_CreatEOArithHandle(); // 初始化为凝视-对地模式 ARIDLL_EOArithInitWithMode(pTracker,nWidth,nHeight,GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_RGB_PACKED, GLB_SYS_MODE::GLB_SYS_STARE,GLB_SCEN_MODE::GLB_SCEN_GROUND); // 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 nTrackSuc = 0; cv::Mat frame; while(1) { stInputPara.unFrmId++; capture.read(frame); if(frame.empty()) break; // 下发面锁定指令 if (stInputPara.unFrmId == 10) { ARIDLL_LockCommand(pTracker, 228*2,279*2,40,25); } // 构建图像类型 GD_VIDEO_FRAME_S img = { 0 }; img.enPixelFormat = GD_PIXEL_FORMAT_E::GD_PIXEL_FORMAT_RGB_PACKED; img.u32Width = nWidth; img.u32Height = nHeight; img.u32Stride[0] = img.u32Width * 3; img.u64VirAddr[0] = frame.data; // 运行算法主控逻辑API ARIDLL_RunController(pTracker, img, stInputPara, &stOutput); auto trackerOut = stOutput.stTrackers[0]; cv::Rect outRect; outRect.width = MAX(15,(int)trackerOut.nObjW); outRect.height= MAX(15, (int)trackerOut.nObjH); outRect.x = (int)trackerOut.nX-outRect.width/2; outRect.y = (int)trackerOut.nY-outRect.height/2; cv::rectangle(frame,outRect,cv::Scalar(0,0,255)); //cv::resize(frame,frame,cv::Size(nWidth/2,nHeight/2)); //imshow("res",frame); //cv::waitKey(2); } if(fabs(stOutput.stTrackers[0].nX - 1508) < 20 && fabs(stOutput.stTrackers[0].nY - 750) < 20) { cout << "pass" << endl; } return 0; }