Use Session in resource handler, ASP.Net

The handler must extend this interface in order to use context.Session:

System.Web.SessionState.IReadOnlySessionState

kmeans2 opencv

void main( int argc, char** argv )
{
    #define MAX_CLUSTERS 5
   
   
    //read from file
    vector< vector < float > > descriptor;
    vector classes;
    ifstream f;
    f.open("c:\\bayes2.txt");
    while(f)
    {
        string str = "";
        f>>str;
        vector desc;
        size_t found = str.find(",");
        while(found<100 && found>0)
        {
            string t = str.substr(0,found);
            desc.push_back(strtod(t.c_str(), NULL));
            str = str.substr(found+1);
            found = str.find(",");
        }
        if(desc.size()>0)
        {
            descriptor.push_back(desc);
            classes.push_back(strtod(str.c_str(), NULL));
        }
    }
    f.close();
   
   

        int k, cluster_count = MAX_CLUSTERS;
        int i, sample_count = descriptor.size(),num_features = descriptor[0].size();
       

       
        CvMat* points = cvCreateMat( sample_count, num_features, CV_32FC2 );
        CvMat* clusters = cvCreateMat( sample_count, 1, CV_32SC1 );


        for(int i=0;i
            {
              for(int j=0;j
                 CV_MAT_ELEM(*points,float,i,j)=descriptor[i][j];
            }
           
        cvKMeans2( points, cluster_count, clusters,
                   cvTermCriteria( CV_TERMCRIT_EPS+CV_TERMCRIT_ITER, 200, 1.0 ));


        for (int i=0; i
                cout << "i*: " << i << " " << (clusters->data.i[i]) << " "<< endl;
        }
               

        cvReleaseMat( &points );
        cvReleaseMat( &clusters );

 }

View AVI in browser (IE)

http://www.beansoftware.com/ASP.NET-Tutorials/Media-Player.aspx

IE

< OBJECT width="300px" height="250px" CLASSID="CLSID:6BF52A52-394A-11d3-B153-00C04F79FAA6" VIEWASTEXT >
< PARAM name="autoStart" value="True">
< PARAM name="URL" value="movie.avi">
< PARAM name="enabled" value="True">
< PARAM name="balance" value="0">
< PARAM name="currentPosition" value="0">
< PARAM name="enableContextMenu" value="True">
< PARAM name="fullScreen" value="False">
< PARAM name="mute" value="False">
< PARAM name="playCount" value="1">
< PARAM name="rate" value="1">
< PARAM name="stretchToFit" value="False">
< PARAM name="uiMode" value="full">


< img dynsrc="movie.avi" >

Read Movie and frames using Open-CV

int main( int argc, char** argv )
{


CvCapture* capture = 0;
IplImage *frame, *frame_copy = 0;
static CvMemStorage* storage = cvCreateMemStorage(0);

capture = cvCaptureFromAVI( "G:\FlickAnimation.avi" );
cvNamedWindow( "Picture:", 1 );

int index = 0;
if( capture )
{
for(;;)
{
if( !cvGrabFrame( capture ))
break;
frame = cvRetrieveFrame( capture );


if( !frame )
    break;
else
    {
        index++;
        //save image
        std::string s;
        std::stringstream out;
        out << index;
        s = out.str();
        string location = "G:\\movie\\"+s+".jpg";
        cvSaveImage(location.c_str(),frame);
    }
if( !frame_copy )
    frame_copy = cvCreateImage(cvSize(frame->width,frame->height), IPL_DEPTH_8U, frame->nChannels );

if( frame->origin == IPL_ORIGIN_TL )
    cvCopy( frame, frame_copy, 0 );
else
    cvFlip( frame, frame_copy, 0 );

cvShowImage("Picture:",frame_copy);


// Varying this will vary the speed of the avi file
if( cvWaitKey( 20 ) >= 0 )
break;
}

cvReleaseImage( &frame_copy );
cvReleaseCapture( &capture );
}

cvClearMemStorage( storage );
cvDestroyWindow("Picture:");
}

Events in UserControls

CMD Windows NET USE

net use y: /delete

net use Y: \\DRIVE\FOLDER qazwsx /USER:DOMAIN\user

SVM in OpenCV

   

0.1,0.12,0.43,0.11,0.13,0
0.1,0.2,0.4,0.1,0.3,0
0.12,0.22,0.41,0.12,0.32,0
0.31,0.23,0.44,0.21,0.23,0
0.13,0.23,0.43,0.13,0.23,0
0.14,0.24,0.44,0.14,0.34,0
0.14,0.42,0.44,0.14,0.34,0
0.51,0.52,0.54,0.51,0.53,0
0.51,0.52,0.54,0.51,0.53,1
0.52,0.58,0.57,0.54,0.55,1
0.53,0.54,0.55,0.56,0.54,1
0.53,0.57,0.59,0.59,0.59,1
0.69,0.62,0.69,0.69,0.53,2
0.61,0.62,0.54,0.59,0.53,2
0.71,0.72,0.74,0.51,0.53,2
0.81,0.82,0.84,0.81,0.83,2
0.85,0.82,0.85,0.81,0.83,2
0.85,0.92,0.85,0.81,0.93,2
0.95,0.82,0.85,0.91,0.83,2

- last columns represent classes and first columns represent features


vector> descriptor;
    vector classes;
    ifstream f;
    f.open("c:\\bayes.txt");
    while(f)
    {
        string str = "";
        f>>str;
        vector desc;
        size_t found = str.find(",");
        while(found<100 && found>0)
        {
            string t = str.substr(0,found);
            desc.push_back(strtod(t.c_str(), NULL));
            str = str.substr(found+1);
            found = str.find(",");
        }
        if(desc.size()>0)
        {
            descriptor.push_back(desc);
            classes.push_back(strtod(str.c_str(), NULL));
        }
    }
    f.close();
   
    vector v;
    v.push_back(0.9481);
    v.push_back(0.9432);
    v.push_back(0.434);
    v.push_back(0.0531);
    v.push_back(0.533);
   
    int num_samples = descriptor.size();
    int num_features = descriptor[0].size();
   
    CvMat* data = cvCreateMat( num_samples, num_features, CV_32F );
    CvMat* responses = cvCreateMat( descriptor.size(), 1, CV_32F );
   
    for(int i=0;i
        {
          for(int j=0;j
             CV_MAT_ELEM(*data,float,i,j)=descriptor[i][j];
         CV_MAT_ELEM(*responses,float,i,0)=classes[i];
        }
       
       
   // initialize parameters
   CvTermCriteria crit;
   crit.epsilon = CV_TERMCRIT_EPS;
   crit.max_iter = 1000;
   crit.type = 1;
  
   CvSVMParams params;
  
   params.svm_type = CvSVM::C_SVC;
   params.kernel_type = CvSVM::RBF;
   params.gamma = 0.1;
   params.C = 3;
   params.nu = 0.1;
   params.term_crit = crit;
    

   CvMat* sample = cvCreateMat( 1,num_features, CV_32F );
   for(int j=0;j
             CV_MAT_ELEM(*sample,float,0,j)=v[j];

   CvSVM SVM;
   SVM.train(data,responses,0,0,params);
   float   r = SVM.predict( sample );
  
  
   SVM.clear();
   cvReleaseMat(&sample);
   cvReleaseMat(&data);
   cvReleaseMat(&responses);