void Ftr::toViz( vecFtr &ftrs, const char *dirname )
{
char fname[1024];
Matrixu img;
for( uint k=0; k<ftrs.size(); k++ ){
sprintf_s(fname,"%s/ftr%05d.png",dirname,k);
img = ftrs[k]->toViz();
img.SaveImage(fname);
}
}
void Ftr::compute( SampleSet &samples, const vecFtr &ftrs)
{
int numftrs = ftrs.size();
int numsamples = samples.size();
if( numsamples==0 ) return;
samples.resizeFtrs(numftrs);
#pragma omp parallel for
for( int ftr=0; ftr<numftrs; ftr++ ){
//#pragma omp parallel for
for( int k=0; k<numsamples; k++ ){
samples.getFtrVal(k,ftr) = ftrs[ftr]->compute(samples[k]);
}
}
}
/*
* Compute filter values for all samples in SampleSet.
* Directly modify _ftrVals in input SampleSet.
*/
void Ftr::computeAll(SampleSet &samples, const vecFtr &ftrs) {
int numftrs = ftrs.size();
int numsamples = samples.size();
if (numsamples == 0)
return;
fprintf(stderr, "compute %d feature values for all %d samples \n", numftrs, numsamples);
samples._ftrVals.zeros(numsamples, numftrs);
// #pragma omp parallel for
for (int j = 0; j < numftrs; j++) {
for (int i = 0; i < numsamples; i++) {
samples._ftrVals(i, j) = ftrs[j]->compute(samples[i]);
;
}
}
}
void Ftr::deleteFtrs( vecFtr ftrs )
{
for( uint k=0; k<ftrs.size(); k ++ )
delete ftrs[k];
}
