Shabrina's profile - activity

opencv version 2.4.9. coor is vector<Point2f>, src_1 is mat that contain result of median.

if I don't use setMouseCallback("Medblur",on_mouse,0); in do while, this system can't read a frame.. thanks

I have image matrix, then The will create a polylines with right klik on mouse when I already determine the some point. this is the code.

void on_mouse(int event,int x,int y,int flags,void *ustc)
    {
        //Point pt;//mouse position;
        char coordinate[100];

        if (event == CV_EVENT_LBUTTONDOWN)
        {
            pt = Point2f(x,y);
            cout<<x<<" "<<y<<endl;
            coor.push_back(pt);
            //cout<< coor << endl;

            cv::FileStorage simpan("template.txt", cv::FileStorage::WRITE);
            cv::write(simpan,"Point",coor);
            simpan.release();

            circle(src_1,pt,3,Scalar(0,255,50),CV_FILLED,CV_AA,0);
            //src.copyTo(src);
            imshow("Medblur",src_1);
            }

        if(event==CV_EVENT_RBUTTONDOWN)
        {
            polylines(src_1,coor,false,Scalar(255,255,255),2,150,0);
        }
    }

    int main(int argc, char** argv){
    CvCapture* capture= cvCaptureFromFile("D:/Kuliah/SMT 7/TA/data/Data Input/1.avi");
    int loop=0, count=0;
    std::string suffix = ".jpg";
    IplImage* jt =NULL;
    char fname[10];

    FileStorage smp30("template.txt", cv::FileStorage::READ);
    ab[30] = smp30["Point"];
    read(ab[30],jnt[30]);
    do
    {   
        std::stringstream ss;
        jt= cvQueryFrame(capture);
        src= cv::cvarrToMat(jt);
        //src = imread("tresh.jpg",1);
        medianBlur(src,src_1,3);
        //double ai=PSNR(src,ln);
        //cout<<count<<"\t"<<ai<<"\n";
        threshold(src_1,src_2,40,130,CV_THRESH_BINARY);
        //cvtColor(src, src, COLOR_BGR2GRAY);
        imshow("Medblur",src_1);
        imshow("Thresh",src_2);
        imshow("Asli",src);
        setMouseCallback("Medblur",on_mouse,0);

        waitKey(0);
    }
    while (jt !=NULL);

}

and this is the error

OpenCV Error: Assertion failed (p.checkVector(2, CV_32S) >= 0) in cv::polylines, file ........\opencv\modules\core\src\drawing.cpp, line 2067

thanks :)) I really need help. Thank you for your attention.

I have an empty matrix that name q_bar, then I will add q_bar with matrix (b_bar.mul(evec)). Evec matrix has 5 row and 5 column.
Then the system said that "no operator "+" matches these operands.

Mat rata, Qnew, yminq,q_bar, evec,etrans,b_bar, q_new,qbaru, input, y_bar;
FileStorage smp0("mall.txt", cv::FileStorage::READ);
FileStorage smp1("evecall.txt", cv::FileStorage::READ);
FileStorage smp2("a0.txt", cv::FileStorage::READ);
    ab[0] = smp0["Point"];
    ab[1] = smp1["Point"];
    ab[2] = smp2["Point"];
read(ab[0],pointz);
read(ab[1],evec);
read(ab[2],jnt[0]);

t2=t;
    t.clear();
    etrans = evec.t();
    Qnew = Mat (t2).reshape(0,5);
    yminq = Qnew - q_bar;
    b_bar = etrans.mul(yminq);
    q_new = q_bar + (b_bar.mul(evec));

I dont know why, this source code suddenly error when I move to other project.

Then I try to use add function, the system get error. this is the error

OpenCV Error: Sizes of input arguments do not match (The operation is neither 'array op array' (where arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array') in cv::arithm_op, file ........\opencv\modules\core\src\arithm.cpp, line 1287

How to use hidden markov model to track the heart cavity? Track the heart cavity into sistole and diastole. white polyline is the data training from keypoints.

I got confused and dont know how the hidden markov model works and implementing. If you have any suggestions, What is a good method for tracking other than optical flow?

I really need your advice, because I am newbie in opencv. Thanks :))

thank you for your information.

I use opencv 2.4.9

I have Matrix then I will convert to Cvarr*. this is the code

Mat src;
IplImage tmp=src, *pro_image1;
FileStorage smp0("e5.txt", cv::FileStorage::READ);
ab[0] = smp0["Point"];
int i,x,y,minX=320,maxX=0,minY=240,maxY=0;
double ri,nd=0,nt=0,out;
int A=0;
int jumRandom=10000;
CvPoint2D32f pt;
CvPoint *p;
CvMemStorage* mem_storage = NULL;
CvSeq *c=NULL;
CvSeq *first_contour = NULL;
CvPoint pt1, pt2;
read(ab[0],jnt[0]);
polylines(src, jnt[0],false,Scalar(0,0,255),2,150,0);
pro_image1 = cvCreateImage (cvGetSize(tmp), 8, 1);

and this is the error.

Error 10 error C2664: 'cvGetSize' : cannot convert parameter 1 from 'IplImage' to 'const CvArr *'

Blockquote

I dont know how to convert this. your help is very important for me :)). thanks

I have matrix that is the training data. The content of the data is point landmark. the data that save in rt matrix. then, I have new image from src matrix.

 void mean(Mat src){
    Mat rt, simpan, cascade;
    Point pt=Point2f(x,y), sm;
    FileStorage sv0("mall.txt", cv::FileStorage::READ);
    mens = sv0["Point"];
    read(mens,rt);

    Mat img_1 = rt;
    Mat img_2 = src;
  int minHessian = 400;

  SurfFeatureDetector detector( minHessian );

  std::vector<KeyPoint> keypoints_1, keypoints_2;

  detector.detect( img_1, keypoints_1 );
  detector.detect( img_2, keypoints_2 );

  //-- Step 2: Calculate descriptors (feature vectors)
  SurfDescriptorExtractor extractor;

  Mat descriptors_1, descriptors_2;

  extractor.compute( img_1, keypoints_1, descriptors_1 );
  extractor.compute( img_2, keypoints_2, descriptors_2 );

  //-- Step 3: Matching descriptor vectors using FLANN matcher
  FlannBasedMatcher matcher;
  std::vector< DMatch > matches;
  matcher.match( descriptors_1, descriptors_2, matches );

  double max_dist = 0; double min_dist = 100;

  //-- Quick calculation of max and min distances between keypoints
  for( int i = 0; i < descriptors_1.rows; i++ )
  { double dist = matches[i].distance;
    if( dist < min_dist ) min_dist = dist;
    if( dist > max_dist ) max_dist = dist;
  }

  printf("-- Max dist : %f \n", max_dist );
  printf("-- Min dist : %f \n", min_dist );

  std::vector< DMatch > good_matches;

  for( int i = 0; i < descriptors_1.rows; i++ )
  { if( matches[i].distance <= max(2*min_dist, 0.02) )
    { good_matches.push_back( matches[i]); }
  }

  //-- Draw only "good" matches
  Mat img_matches;
  drawMatches( img_1, keypoints_1, img_2, keypoints_2,
               good_matches, img_matches, Scalar::all(-1), Scalar::all(-1),
               vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS );

  //-- Show detected matches
  imshow( "Good Matches", img_matches );

  for( int i = 0; i < (int)good_matches.size(); i++ )
  { printf( "-- Good Match [%d] Keypoint 1: %d  -- Keypoint 2: %d  \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }


    //imshow("Segmentasi",src);
}

I will track the new image with the training data, but the code was be break. this is the image

the data training is red color. and this is the error

OpenCV Error: Assertion failed (!img.empty() && img.depth() == CV_8U) in cv::SURF::operator (), file ........\opencv\modules\nonfree\src\surf.cpp,

thank you.

I have a dialog based like this.

then I will, open video file using button click "Open File" then the name of file writed in edit box file name. and the video loaded in static picture, left side.

thank you :))

thank you, for your answer. That's very helpful

yes, I wan to merge this 2 matrices

I have 2 matrix, egnvecx and egnvecy. egnvecx :

[0.52065742, 0.39711261, 0.75578946, 0;
  -0.42713234, 0.88765043, -0.17214788, 0;
  0, 0, 0, 1;
  0.73923874, 0.233192, -0.63178128, 0]

egnvecy :

[1, 0, 0, 0;
  0, 1, 0, 0;
  0, 0, 1, 0;
  0, 0, 0, 1]

Then, I will save this matrix into array it contain x and y. But I dont know how the step is. this the code will be error.

Mat data_pts = Mat(4,4, CV_32F);
    for (int i = 0; i < data_pts.rows; ++i)
    {
        for (int x=0; x<data_pts.cols; x++){
            data_pts.at<float>(i,x) = egnvecx.ptr<float>(i,x);  
            data_pts.at<float>(i,x) = egnvecy.ptr<float>(i,x);  
        }
    }
    cout << data_pts;

thank you :))

I have Matrix 4x4 like this

[0, 0, 0, 0, 0.5, 0, 0, 0; 0, 0, 0.25, 0, 0.25, 0, 0, 0; 0.5, 0, 0.25, 0, 0.25, 0, 0, 0; 0, 0, 0, 0, 0, 0, 0, 0]

every column contais x and y. Then I will change this matrix to matrix 2nx2n. But I dont know how the step is. Please help me. Thank you :))

Thank you the problem was solved, I get the misplace to initialize yesterday. Thank you for your attention :))

I have vector ay[4] , then I get the mean of vector. So, I change the vector to matrix. like this

Mat total,rata;
total =  Mat(ay[1]) + Mat(ay[2]) + Mat(ay[3]);
rata = total/3;
cout <<"Total"<< total << endl;
cout <<"Rata"<< rata << endl;

Then, I use the mean of matrix for get the deviation, this is the code.

Mat dev[4], chg[4];
for (int abc=0; abc<4; abc++){
    chg[abc] = Mat(ay[abc]);
}
for(int s=0; s<4;s++){
    cv::subtract(chg[s],rata,dev[s]);
}
cout << "Data" << dev[1] << endl;

when, I operation this code. the program was break. and this is the error

OpenCV Error: Sizes of input arguments do not match (The operation is neither 'array op array' (where arrays have the same size and the same number of channels), nor 'array op scalar', nor 'scalar op array') in cv::arithm_op, file ........\opencv\modules\core\src\arithm.cpp, line 1287

I dont know why, but that are have the same initialization. Thanks.

I want to get eigenvalue and eigenvector. But it breaks. this is my part of code.

Mat covmat=((matdev*matdev.t())/3); //data float matrix 5*5, this's working. but when I add with PCA function. It's break.
PCA pt_pca(covmat, Mat(), CV_PCA_DATA_AS_ROW, 0);
            Mat pt_eig_vals = pt_pca.eigenvalues;
            for (int i = 0; i < 4; ++i)
            cout << pt_eig_vals.at<float>(i, 0) <<endl;

This is the error. OpenCV error: Assertion Failed <data.channerls&lt;&gt; =="1"> in unknown function, file ......\src\opencv\modules\core\src\matmul.cpp

Please somebody help me :(. Thanks

I just trying these code but the program still break.

I have matrix 1x16. I will reshape this matrix to 4x4. How can I reshape this matrix? I just use this code, but the program was break.

//transpose 
    Mat det0 = Mat(d1);
    Mat dt1;
    dt1 = det0.reshape(0,4);
    cout << " Sebelum transpose "<<det0 <<endl;
    cout << "coba" << dt1 <<endl;

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