vector<UIntSet> getHDRStacks(const PanoramaData & pano, UIntSet allImgs, PanoramaOptions opts)
{
vector<UIntSet> result;
// if no images are available, return empty result vector
if ( allImgs.empty() )
{
return result;
}
UIntSet stack;
CalculateImageOverlap overlap(&pano);
overlap.calculate(10); // we are testing 10*10=100 points
do {
unsigned srcImg = *(allImgs.begin());
stack.insert(srcImg);
allImgs.erase(srcImg);
// find all images that have a suitable overlap.
for (UIntSet::iterator it = allImgs.begin(); it != allImgs.end(); ) {
unsigned srcImg2 = *it;
++it;
if(overlap.getOverlap(srcImg,srcImg2)>opts.outputStacksMinOverlap)
{
stack.insert(srcImg2);
allImgs.erase(srcImg2);
}
}
result.push_back(stack);
stack.clear();
} while (allImgs.size() > 0);
return result;
}
vector<UIntSet> getExposureLayers(const PanoramaData & pano, UIntSet allImgs, PanoramaOptions opts)
{
vector<UIntSet> result;
// if no images are available, return empty result vector
if ( allImgs.empty() )
{
return result;
}
UIntSet stack;
do {
unsigned srcImg = *(allImgs.begin());
stack.insert(srcImg);
allImgs.erase(srcImg);
// find all images that have a suitable overlap.
SrcPanoImage simg = pano.getSrcImage(srcImg);
double maxEVDiff = opts.outputLayersExposureDiff;
for (UIntSet::iterator it = allImgs.begin(); it != allImgs.end(); ) {
unsigned srcImg2 = *it;
++it;
SrcPanoImage simg2 = pano.getSrcImage(srcImg2);
if ( fabs(simg.getExposureValue() - simg2.getExposureValue()) < maxEVDiff )
{
stack.insert(srcImg2);
allImgs.erase(srcImg2);
}
}
result.push_back(stack);
stack.clear();
} while (allImgs.size() > 0);
return result;
}
int main(int argc, char *argv[])
{
// parse arguments
const char * optstring = "o:hn:pws";
int c;
string output;
bool onlyPair = false;
bool wholePano = false;
bool skipOptimisation = false;
double n = 2.0;
while ((c = getopt (argc, argv, optstring)) != -1)
{
switch (c) {
case 'o':
output = optarg;
break;
case 'h':
usage(argv[0]);
return 0;
case 'n':
n = atof(optarg);
if(n==0)
{
cerr <<"Invalid parameter: " << optarg << " is not valid real number" << endl;
return 1;
};
if (n<1.0)
{
cerr << "Invalid parameter: n must be at least 1" << endl;
return 1;
};
break;
case 'p':
onlyPair= true;
break;
case 'w':
wholePano = true;
break;
case 's':
skipOptimisation = true;
break;
case ':':
cerr <<"Option -n requires a number" << endl;
return 1;
break;
case '?':
break;
default:
abort ();
}
}
if (argc - optind != 1)
{
usage(argv[0]);
return 1;
};
if (onlyPair && wholePano)
{
cerr << "Options -p and -w can't used together" << endl;
return 1;
};
string input=argv[optind];
Panorama pano;
ifstream prjfile(input.c_str());
if (!prjfile.good()) {
cerr << "could not open script : " << input << endl;
return 1;
}
pano.setFilePrefix(hugin_utils::getPathPrefix(input));
DocumentData::ReadWriteError err = pano.readData(prjfile);
if (err != DocumentData::SUCCESSFUL) {
cerr << "error while parsing panos tool script: " << input << endl;
cerr << "DocumentData::ReadWriteError code: " << err << endl;
return 1;
}
size_t nrImg=pano.getNrOfImages();
if (nrImg < 2)
{
cerr << "Panorama should consist of at least two images" << endl;
return 1;
}
if (pano.getNrOfCtrlPoints() < 3)
{
cerr << "Panorama should contain at least 3 control point" << endl;
};
size_t cpremoved1=0;
UIntSet CPtoRemove;
// step 1 with pairwise optimisation
if(!wholePano)
{
CPtoRemove=getCPoutsideLimit_pair(pano,n);
if (CPtoRemove.size()>0)
for(UIntSet::reverse_iterator it = CPtoRemove.rbegin(); it != CPtoRemove.rend(); ++it)
pano.removeCtrlPoint(*it);
cpremoved1=CPtoRemove.size();
};
// step 2 with optimisation of whole panorama
bool unconnected=false;
if(!onlyPair)
{
//check for unconnected images
CPGraph graph;
createCPGraph(pano, graph);
CPComponents comps;
int parts=findCPComponents(graph, comps);
if (parts > 1)
{
unconnected=true;
}
else
{
CPtoRemove.clear();
if(skipOptimisation)
{
std::cout << endl << "Skipping optimisation, current image positions will be used." << endl;
};
CPtoRemove=getCPoutsideLimit(pano,n,skipOptimisation);
if (CPtoRemove.size()>0)
for(UIntSet::reverse_iterator it = CPtoRemove.rbegin(); it != CPtoRemove.rend(); ++it)
pano.removeCtrlPoint(*it);
};
};
cout << endl;
if(!wholePano)
cout << "Removed " << cpremoved1 << " control points in step 1" << endl;
if(!onlyPair)
if(unconnected)
cout <<"Skipped step 2 because of unconnected image pairs" << endl;
else
cout << "Removed " << CPtoRemove.size() << " control points in step 2" << endl;
//write output
OptimizeVector optvec = pano.getOptimizeVector();
UIntSet imgs;
fill_set(imgs,0, pano.getNrOfImages()-1);
// Set output .pto filename if not given
if (output=="")
{
output=input.substr(0,input.length()-4).append("_clean.pto");
}
ofstream of(output.c_str());
pano.printPanoramaScript(of, optvec, pano.getOptions(), imgs, false, hugin_utils::getPathPrefix(input));
cout << endl << "Written output to " << output << endl;
return 0;
}
CPVector AutoPanoSiftMultiRow::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size() < 2)
{
return cps;
};
std::vector<wxString> keyFiles(pano.getNrOfImages());
//generate cp for every consecutive image pair
unsigned int counter=0;
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); )
{
if(counter==imgs.size()-1)
break;
counter++;
UIntSet ImagePair;
ImagePair.clear();
ImagePair.insert(*it);
it++;
ImagePair.insert(*it);
AutoPanoSift matcher;
CPVector new_cps;
new_cps.clear();
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(setting, pano, ImagePair, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(setting, pano, ImagePair, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
if(ret_value!=0)
{
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
};
// now connect all image groups
// generate temporary panorama to add all found cps
UIntSet allImgs;
fill_set(allImgs, 0, pano.getNrOfImages()-1);
Panorama optPano=pano.getSubset(allImgs);
for (CPVector::const_iterator it=cps.begin();it!=cps.end();++it)
optPano.addCtrlPoint(*it);
CPGraph graph;
createCPGraph(optPano, graph);
CPComponents comps;
int n = findCPComponents(graph, comps);
if(n>1)
{
UIntSet ImagesGroups;
for(unsigned int i=0;i<n;i++)
{
ImagesGroups.insert(*(comps[i].begin()));
if(comps[i].size()>1)
ImagesGroups.insert(*(comps[i].rbegin()));
};
AutoPanoSift matcher;
CPVector new_cps;
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(setting, optPano, ImagesGroups, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(setting, optPano, ImagesGroups, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps,&optPano);
if(ret_value!=0)
{
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
createCPGraph(optPano,graph);
n=findCPComponents(graph, comps);
};
if(n==1 && setting.GetOption())
{
//next steps happens only when all images are connected;
//now optimize panorama
PanoramaOptions opts = pano.getOptions();
opts.setProjection(PanoramaOptions::EQUIRECTANGULAR);
// calculate proper scaling, 1:1 resolution.
// Otherwise optimizer distances are meaningless.
opts.setWidth(30000, false);
opts.setHeight(15000);
optPano.setOptions(opts);
int w = optPano.calcOptimalWidth();
opts.setWidth(w);
opts.setHeight(w/2);
optPano.setOptions(opts);
//generate optimize vector, optimize only yaw and pitch
OptimizeVector optvars;
const SrcPanoImage & anchorImage = optPano.getImage(opts.optimizeReferenceImage);
for (unsigned i=0; i < optPano.getNrOfImages(); i++)
{
std::set<std::string> imgopt;
if(i==opts.optimizeReferenceImage)
{
//optimize only anchors pitch, not yaw
imgopt.insert("p");
}
else
{
// do not optimize anchor image's stack for position.
if(!optPano.getImage(i).YawisLinkedWith(anchorImage))
{
imgopt.insert("p");
imgopt.insert("y");
};
};
optvars.push_back(imgopt);
}
optPano.setOptimizeVector(optvars);
// remove vertical and horizontal control points
CPVector backupOldCPS = optPano.getCtrlPoints();
CPVector backupNewCPS;
for (CPVector::const_iterator it = backupOldCPS.begin(); it != backupOldCPS.end(); it++) {
if (it->mode == ControlPoint::X_Y)
{
backupNewCPS.push_back(*it);
}
}
optPano.setCtrlPoints(backupNewCPS);
// do a first pairwise optimisation step
HuginBase::AutoOptimise::autoOptimise(optPano,false);
HuginBase::PTools::optimize(optPano);
optPano.setCtrlPoints(backupOldCPS);
//and find cp on overlapping images
//work only on image pairs, which are not yet connected
AutoPanoSiftPreAlign matcher;
CPDetectorSetting newSetting;
newSetting.SetProg(setting.GetProg());
newSetting.SetArgs(setting.GetArgs());
if(setting.IsTwoStepDetector())
{
newSetting.SetProgMatcher(setting.GetProgMatcher());
newSetting.SetArgsMatcher(setting.GetArgsMatcher());
};
newSetting.SetOption(true);
CPVector new_cps;
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(newSetting, optPano, imgs, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(newSetting, optPano, imgs, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
};
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
CPVector AutoPanoSiftPreAlign::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, std::vector<wxString> &keyFiles, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size()<2)
return cps;
DEBUG_ASSERT(keyFiles.size()==pano.getNrOfImages());
vector<UIntSet> usedImages;
usedImages.resize(pano.getNrOfImages());
if(setting.GetOption())
{
//only work on not connected image pairs
CPVector oldCps=pano.getCtrlPoints();
for(unsigned i=0;i<oldCps.size();i++)
{
if(oldCps[i].mode==ControlPoint::X_Y)
{
usedImages[oldCps[i].image1Nr].insert(oldCps[i].image2Nr);
usedImages[oldCps[i].image2Nr].insert(oldCps[i].image1Nr);
};
};
};
HuginBase::CalculateImageOverlap overlap(&pano);
overlap.calculate(10);
for(UIntSet::const_iterator it=imgs.begin();it!=imgs.end();it++)
{
UIntSet images;
images.clear();
images.insert(*it);
UIntSet::const_iterator it2=it;
for(++it2;it2!=imgs.end();it2++)
{
//check if this image pair was yet used
if(set_contains(usedImages[*it2],*it))
continue;
//now check position
if(overlap.getOverlap(*it,*it2)>0)
{
images.insert(*it2);
};
};
if(images.size()<2)
continue;
//remember image pairs for later
for(UIntSet::const_iterator img_it=images.begin();img_it!=images.end();img_it++)
for(UIntSet::const_iterator img_it2=images.begin();img_it2!=images.end();img_it2++)
usedImages[*img_it].insert(*img_it2);
AutoPanoSift matcher;
CPVector new_cps;
if(setting.IsTwoStepDetector())
new_cps=matcher.automatch(setting, pano, images, nFeatures, keyFiles, ret_value, parent);
else
new_cps=matcher.automatch(setting, pano, images, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
if(ret_value!=0)
{
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
};
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
