eigen跟踪MILTracker代码分析

调用跟踪方法再Main.cpp中：
 while (vot_io.getNextImage(frameOrig) == 1){
 resize(frameOrig, frame, Size(conf.frameWidth, conf.frameHeight));
 
 tracker.Track(frame); 跟踪方法：
Tracker.cpp

void Tracker::Track(const cv::Mat& frame)
{


耗时操作：
m_pLearner->Eval(sample, scores);


Eval 中fvs.size()有时为2850，循环估计，耗时

void LaRank::Eval(const MultiSample& sample, std::vector<double>& results)
{
 const FloatRect& centre(sample.GetRects()[0]);
 vector<VectorXd> fvs;
 double tt = (double)cvGetTickCount();
 const_cast<Features&>(m_features).Eval(sample, fvs);
 results.resize(fvs.size());
 //  算法过程
 tt = (double)cvGetTickCount() - tt;
 printf( "run time1 = %fms fvs.size:%d\n", tt/(cvGetTickFrequency()*1000),fvs.size() );
 for (int i = 0; i < (int)fvs.size(); ++i)
 {
 // express y in coord frame of centre sample
 FloatRect y(sample.GetRects()[i]);
 y.Translate(-centre.XMin(), -centre.YMin());
 results[i] = Evaluate(fvs[i], y);
 if(i%200==0){
 tt = (double)cvGetTickCount() - tt;
 printf( "run time%d = %fms\n",i, tt/(cvGetTickFrequency()*1000) );
 }
 }
 //  算法过程
// tt = (double)cvGetTickCount() - tt;
// printf( "run time2 = %fms\n", tt/(cvGetTickFrequency()*1000) );
}

文章来源: blog.csdn.net，作者：网奇，版权归原作者所有，如需转载，请联系作者。

原文链接：blog.csdn.net/jacke121/article/details/60469407