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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
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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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#include <stdio.h>
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#include <time.h>
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#include <chrono>
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using std::cout;
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using std::endl;
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#include <pthread.h>
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#include <sys/time.h>
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#include <arpa/inet.h>
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#include <netinet/in.h>
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#include <net/if.h>
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#include <termios.h>
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#include <unistd.h>
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int main()
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{
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//cv::VideoCapture capture("/mnt/wang/tv00.avi");
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std::string folder_path = "/app/sd/wang/cut/"; // 图片文件夹路径
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std::string file_extension = ".jpg"; // 文件扩展名
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int total_images = 1500; // 总图片数量
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std::stringstream filename;
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filename << folder_path << std::setw(4) << std::setfill('0') << 1 << file_extension;
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printf("filename:%s\n",filename.str().c_str());
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// 读取图像
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cv::Mat image = cv::imread(filename.str());
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int nWidth = int(image.cols);
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int nHeight = int(image.rows);
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printf("nWidth = %d,nHeight = %d\n",nWidth,nHeight);
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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.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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unsigned char* pY8Data = new unsigned char[nWidth * nHeight];
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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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std::stringstream filename;
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filename << folder_path << std::setw(4) << std::setfill('0') << stInputPara.unFrmId << file_extension;
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// 读取图像
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cv::Mat frame = cv::imread(filename.str());
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printf("read %s\n",filename.str());
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if(frame.empty())
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break;
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cv::Mat srcGray(nHeight,nWidth,CV_8UC1);
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cv::cvtColor(frame,srcGray,cv::COLOR_RGB2GRAY);
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for (size_t i = 0; i < nWidth * nHeight; i++)
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{
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pY8Data[i] = srcGray.data[i];
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}
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// 下发面锁定指令
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if (stInputPara.unFrmId == 100)
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{
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int tmpW = 20;
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int tmpH = 10;
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int tmpX = 955;
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int tmpY = 535;
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ARIDLL_LockCommand(pTracker, tmpX,tmpY,tmpW,tmpH);
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}
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cv::TickMeter tm;tm.start();
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// 构建图像类型
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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] = (unsigned char*)frame.data;
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ARIDLL_RunController(pTracker, img, stInputPara, &stOutput);
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tm.stop();
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printf("cv time = %g\n",tm.getTimeMilli());
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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.nObjW);
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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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stInputPara.bImageRataSys = true;
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stInputPara.nElevationDiff = 100;
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//cv::resize(frame,frame,cv::Size(nWidth/2,nHeight/2));
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//writer << frame;
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// imshow("res",frame);
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// cv::waitKey(2);
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}
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// if (nTrackSuc > 270 * 0.95)
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// {
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// cout << "pass" << endl;
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// }
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cout << "pass" << endl;
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return 0;
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}
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