Code and operation result is as follows, don't know why imshow there is no output, when debugging, also didn't find any questions, just contact this side is white, wish everyone a great god
# include & lt; Iostream>
# include & lt; Algorithm>

# include & lt; Opencv2/core/core. Hpp>
# include & lt; Opencv2 highgui/highgui. Hpp>
#include
#include
#include
# include "math. H"
#include
H # include "Windows."
# include "kcftracker. HPP
"
//# pragma comment (lib, "opencv_world310d. Lib")

using namespace std;
Using the namespace CV;
Using the namespace xfeatures2d;




Int main (int arg c, char * argv []) {

//if (arg c & gt; 5) return - 1;

Bool HOG=true;
Bool FIXEDWINDOW=false;
Bool MULTISCALE=true;
Bool SILENT=true;
Bool LAB=false;

//for (int I=0; i //if (STRCMP (argv [I], "hog")==0)
//HOG=true;
//if (STRCMP (argv [I], "fixed_window")==0)
//FIXEDWINDOW=true;
//if (STRCMP (argv [I], "singlescale")==0)
//MULTISCALE=false;
//if (STRCMP (argv [I], "show")==0)
//SILENT=false;
//if (STRCMP (argv [I], "lab")==0) {
//LAB=true;
//HOG=true;
//}
//if (STRCMP (argv [I], "gray")==0)
//HOG=false;
//}

//Create KCFTracker object
KCFTracker tracker (HOG, FIXEDWINDOW, MULTISCALE, LAB);

//set the input video
STD: : string video="E:/shiyan. Mp4"; E://data////"trackingData//tracking_clip mp4"; E:////"dudek. Webm";//argv [1].
VideoCapture cap (video);//open video file

Mat frame;
Mat src1, src2, DST;

//get bounding box
Cap & gt;> Frame;//read the first frame of video

Mat src11=imread (" D:/tupian1. JPG ", IMREAD_REDUCED_COLOR_4);
Mat src21=frame;

CvtColor (src11, src1, CV_BGR2GRAY);
CvtColor (src21, src2, CV_BGR2GRAY);
Clock_t start and finish;
Double totaltime.
Start=clock ();
Ptr The orb=SIFT: : create ();//set the image registration algorithm
//the begin
Vector Keypoints1 keypoints2;
Mat descriptors1 descriptors2;
The orb - & gt; DetectAndCompute (src1, Mat (), keypoints1 descriptors1);
The orb - & gt; DetectAndCompute (src2, Mat (), keypoints2 descriptors2);

BFMatcher matcher.//set the similarity evaluation parameter
Vector Matches1;

The matcher. Match (descriptors1 descriptors2, matches1);

Sort (matches1. The begin (), matches1 end ());

Vector QueryIdxs (matches1. The size ()), trainIdxs (matches1. The size ());
For (size_t I=0; i {
QueryIdxs [I]=matches1 [I] queryIdx;
TrainIdxs [I]=matches1 [I] trainIdx;
}

Mat H12;//transformation matrix
VectorVectorFloat ransacReprojThreshold=3;//reject threshold

H12=findHomography (Mat (points1), Mat (points2), RHO, 3);//set to remove false matching algorithm (RANSAC/PROSAC (RHO))
/* cout & lt; <"\ n the program running time for" & lt;
Vector MatchesMask (matches1. The size (), 0).
Mat points1t;
PerspectiveTransform (Mat (points1), points1t, H12);//transmission transform
For (size_t I=0; i '{
If (norm (points2 [I] - points1t. At{
MatchesMask [I]=1;
}
}
//drawMatches (src1, keypoints1, src2, keypoints2, matches1, match_img2, Scalar: : (1), all Scalar: : (1), all matchesMask);

The vector & lt; KeyPoint> RR_KP1 RR_KP2;
Vector RR_matches;
Int mask_sum=0;

Double sumloss=0;
For (size_t I=0; i {
If (matchesMask [I]!=0)
{
Sumloss +=norm (points2 [I] - points1t. AtMask_sum + +;
}
}
Sumloss=sumloss/(mask_sum - 1);

//cout & lt; <"Rmse=" & lt;
WaitKey (0);

int count=0;
For (size_t I=0; i {
If (matchesMask [I]==1)
{
count++;
}
}
//cout & lt; <"Remove the false match after match point" & lt;
STD: : vectorObj_corners [0]=cvPoint (0, 0);
Obj_corners [1]=cvPoint (src1. Cols, 0);
Obj_corners [2]=cvPoint (src1. Cols, src1. Rows);
Obj_corners [3]=cvPoint (0, src1. Rows);

STD: : vectorPerspectiveTransform (obj_corners scene_corners, H12);//by transmission transformation to find objects
Scene_corners line (src21, scene_corners [0], [1], the Scalar (0, 0, 255), 2);
, scene_corners line (src21, scene_corners [1] [2], the Scalar (0, 0, 255), 2);
Scene_corners line (src21, scene_corners [2], [3], the Scalar (0, 0, 255), 2);
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