int processSet(Params *par, vector<char *> filenames, int findex, vector<BB> &bbs, clock_t start_t){
// cout << "TEST\n";
vector<DARY *> images;
// cout << " OK 0 " << findex << " "<< filenames[findex]<< endl;
//int t0 = printRuntime(start_t, clock(), "testpoint0");
loadImages(filenames, findex, images, par);
// cout << " OK 1 " << endl;
//int t1 = printRuntime(t0, clock(), "testpoint1");
if(findex>0){ computeDifferences(images); }
// cout << " OK 2 " << endl;
//int t2 = printRuntime(t1, clock(), "testpoint2");
normalizeDifference(images);
//int t3 = printRuntime(t2, clock(), "testpoint3");
DARY *output = new DARY(images[0]->y(),images[0]->x(),UCHAR1FLOAT1);
output->set(0.0);
// cout << " OK 3 " << endl;
detectDifferences(images, output, par->getValue("diff_thres.int"), par->getValue("median_size.int"));
//int t4 = printRuntime(t3, clock(), "testpoint4");
// Detect using HOG (histogram of oriented gradients)
if((int)par->getValue("match_images.int")){ matchImages(images,output); }
for(uint i=0; i<images.size(); i++){ delete images[i];images.clear(); }
// cout << " OK 4 " << endl;
// Bounding box method
int labels;
labelSegments(output, labels);
//int t5 = printRuntime(t4, clock(), "testpoint5");
int sel=-1;
if(labels>1){
findBBs(output,bbs,labels);
sel=selectBBs(bbs, par);
// if(bbs.size()>0){ sel=0; }
}
// cout << " OK 4 " << endl;
//int t6 = printRuntime(t5, clock(), "testpoint6");
if(findex==-1){ findex=1; }
// coutBB used in drawBB prints to terminal
if((int)par->getValue("draw_images.int")){ drawBB(filenames[findex],output,bbs,sel); }
//int t7 = printRuntime(t6, clock(), "testpoint7");
//int t8 = printRuntime(start_t, clock(), "out of total");
delete output;
return sel;
}
Stitcher::Status Stitcher::estimateTransform(InputArray images, const vector<vector<Rect> > &rois)
{
images.getMatVector(imgs_);
rois_ = rois;
Status status;
if ((status = matchImages()) != OK)
return status;
estimateCameraParams();
return OK;
}
int main(int argc, char *argv[])
{
if (!CmdLnArgs.parse(argc, argv))
{
printf("Usage: ./main (--match <ix> | --time-desc <#it> | --time-match <#it> <#pts>)\n\n");
return 1;
}
if (CmdLnArgs.right_img_ix)
matchImages(CmdLnArgs.right_img_ix);
else if (CmdLnArgs.desc_timing_nit)
timeDescription(CmdLnArgs.desc_timing_nit);
else if (CmdLnArgs.match_timing_nit)
timeMatching(CmdLnArgs.match_timing_nit, CmdLnArgs.match_timing_npts);
return 0;
}
Stitcher::Status Stitcher::estimateTransform(InputArrayOfArrays images, InputArrayOfArrays masks)
{
CV_INSTRUMENT_REGION();
images.getUMatVector(imgs_);
masks.getUMatVector(masks_);
Status status;
if ((status = matchImages()) != OK)
return status;
if ((status = estimateCameraParams()) != OK)
return status;
return OK;
}
