void PTools::optimize(Panorama & pano,
utils::MultiProgressDisplay & progDisplay,
int maxIter)
{
// VariableMapVector res;
// setup data structures
aPrefs aP;
OptInfo opt;
SetAdjustDefaults(&aP);
AlignInfoWrap aInfo;
// copy pano information int libpano data structures
if (aInfo.setInfo(pano)) {
aInfo.setGlobal();
opt.numVars = aInfo.gl.numParam;
opt.numData = aInfo.gl.numPts;
opt.SetVarsToX = SetLMParams;
opt.SetXToVars = SetAlignParams;
opt.fcn = aInfo.gl.fcn;
*opt.message = 0;
DEBUG_DEBUG("starting optimizer");
RunLMOptimizer( &opt );
#ifdef DEBUG
fullPath path;
StringtoFullPath(&path, "c:/debug_optimizer.txt");
aInfo.gl.data = opt.message;
WriteResults( "debug_test", &path, &aInfo.gl, distSquared, 0);
#endif
std::ostringstream oss;
/*
oss << "optimizing images";
for (UIntVector::const_iterator it = imgs.begin(); it != imgs.end(); ++it) {
if (it + 1 != imgs.end()) {
oss << *it << ",";
} else {
oss << *it;
}
}
oss << "\n" << opt.message;
progDisplay.setMessage(oss.str());
*/
DEBUG_DEBUG("optimizer finished:" << opt.message);
pano.updateVariables(aInfo.getVariables());
pano.updateCtrlPointErrors( aInfo.getCtrlPoints());
}
}
CPVector AutoCtrlPointCreator::readUpdatedControlPoints(const std::string & file,
PT::Panorama & pano, const PT::UIntSet & imgs)
{
ifstream stream(file.c_str());
if (! stream.is_open()) {
DEBUG_ERROR("Could not open control point detector output: " << file);
return CPVector();
}
Panorama tmpp;
PanoramaMemento newPano;
int ptoVersion = 0;
newPano.loadPTScript(stream, ptoVersion, "");
tmpp.setMemento(newPano);
//check if sizes matches
if(tmpp.getNrOfImages()!=imgs.size())
{
return CPVector();
};
// create mapping between the panorama images.
vector<size_t> imgMapping(imgs.size());
size_t i=0;
for(UIntSet::const_iterator it=imgs.begin();it!=imgs.end();it++)
{
imgMapping[i++]=*it;
};
// get control points
CPVector ctrlPoints = tmpp.getCtrlPoints();
// make sure they are in correct order
for (CPVector::iterator it= ctrlPoints.begin(); it != ctrlPoints.end(); ++it) {
(*it).image1Nr = imgMapping[(*it).image1Nr];
(*it).image2Nr = imgMapping[(*it).image2Nr];
}
return ctrlPoints;
}
CPVector AutoCtrlPointCreator::readUpdatedControlPoints(const std::string & file,
PT::Panorama & pano)
{
ifstream stream(file.c_str());
if (! stream.is_open()) {
DEBUG_ERROR("Could not open autopano output: " << file);
return CPVector();
}
Panorama tmpp;
PanoramaMemento newPano;
int ptoVersion = 0;
newPano.loadPTScript(stream, ptoVersion, "");
tmpp.setMemento(newPano);
// create mapping between the panorama images.
map<unsigned int, unsigned int> imgMapping;
for (unsigned int ni = 0; ni < tmpp.getNrOfImages(); ni++) {
std::string nname = stripPath(tmpp.getImage(ni).getFilename());
for (unsigned int oi=0; oi < pano.getNrOfImages(); oi++) {
std::string oname = stripPath(pano.getImage(oi).getFilename());
if (nname == oname) {
// insert image
imgMapping[ni] = oi;
break;
}
}
if (! set_contains(imgMapping, ni)) {
DEBUG_ERROR("Could not find image " << ni << ", name: " << tmpp.getImage(ni).getFilename() << " in autopano output");
return CPVector();
}
}
// get control points
CPVector ctrlPoints = tmpp.getCtrlPoints();
// make sure they are in correct order
for (CPVector::iterator it= ctrlPoints.begin(); it != ctrlPoints.end(); ++it) {
(*it).image1Nr = imgMapping[(*it).image1Nr];
(*it).image2Nr = imgMapping[(*it).image2Nr];
}
return ctrlPoints;
}
int main(int argc, char *argv[])
{
// parse arguments
const char * optstring = "alho:npqsv:m";
int c;
string output;
bool doPairwise = false;
bool doAutoOpt = false;
bool doNormalOpt = false;
bool doLevel = false;
bool chooseProj = false;
bool quiet = false;
bool doPhotometric = false;
double hfov = 0.0;
while ((c = getopt (argc, argv, optstring)) != -1)
{
switch (c) {
case 'o':
output = optarg;
break;
case 'h':
usage(argv[0]);
return 0;
case 'p':
doPairwise = true;
break;
case 'a':
doAutoOpt = true;
break;
case 'n':
doNormalOpt = true;
break;
case 'l':
doLevel = true;
break;
case 's':
chooseProj = true;
break;
case 'q':
quiet = true;
break;
case 'v':
hfov = atof(optarg);
break;
case 'm':
doPhotometric = true;
break;
default:
abort ();
}
}
if (argc - optind != 1) {
usage(argv[0]);
return 1;
}
const char * scriptFile = argv[optind];
Panorama pano;
if (scriptFile[0] == '-') {
DocumentData::ReadWriteError err = pano.readData(std::cin);
if (err != DocumentData::SUCCESSFUL) {
cerr << "error while reading script file from stdin." << endl;
cerr << "DocumentData::ReadWriteError code: " << err << endl;
return 1;
}
} else {
ifstream prjfile(scriptFile);
if (!prjfile.good()) {
cerr << "could not open script : " << scriptFile << endl;
return 1;
}
pano.setFilePrefix(hugin_utils::getPathPrefix(scriptFile));
DocumentData::ReadWriteError err = pano.readData(prjfile);
if (err != DocumentData::SUCCESSFUL) {
cerr << "error while parsing panos tool script: " << scriptFile << endl;
cerr << "DocumentData::ReadWriteError code: " << err << endl;
return 1;
}
}
if (pano.getNrOfImages() == 0) {
cerr << "Panorama should consist of at least one image" << endl;
return 1;
}
// for bad HFOV (from autopano-SIFT)
for (unsigned i=0; i < pano.getNrOfImages(); i++) {
SrcPanoImage img = pano.getSrcImage(i);
if (img.getProjection() == SrcPanoImage::RECTILINEAR
&& img.getHFOV() >= 180)
{
// something is wrong here, try to read from exif data
double focalLength = 0;
double cropFactor = 0;
cerr << "HFOV of image " << img.getFilename() << " invalid, trying to read EXIF tags" << endl;
bool ok = img.readEXIF(focalLength, cropFactor, true, false);
if (! ok) {
if (hfov) {
img.setHFOV(hfov);
} else {
cerr << "EXIF reading failed, please specify HFOV with -v" << endl;
return 1;
}
}
pano.setSrcImage(i, img);
}
}
if(pano.getNrOfCtrlPoints()==0 && (doPairwise || doAutoOpt || doNormalOpt))
{
cerr << "Panorama have to have control points to optimise positions" << endl;
return 1;
};
if (doPairwise && ! doAutoOpt) {
// do pairwise optimisation
set<string> optvars;
optvars.insert("r");
optvars.insert("p");
optvars.insert("y");
AutoOptimise::autoOptimise(pano);
// do global optimisation
if (!quiet) std::cerr << "*** Pairwise position optimisation" << endl;
PTools::optimize(pano);
} else if (doAutoOpt) {
if (!quiet) std::cerr << "*** Adaptive geometric optimisation" << endl;
SmartOptimise::smartOptimize(pano);
} else if (doNormalOpt) {
if (!quiet) std::cerr << "*** Optimising parameters specified in PTO file" << endl;
PTools::optimize(pano);
} else {
if (!quiet) std::cerr << "*** Geometric parameters not optimized" << endl;
}
if (doLevel)
{
bool hasVerticalLines=false;
CPVector allCP=pano.getCtrlPoints();
if(allCP.size()>0 && (doPairwise || doAutoOpt || doNormalOpt))
{
for(size_t i=0;i<allCP.size() && !hasVerticalLines;i++)
{
hasVerticalLines=(allCP[i].mode==ControlPoint::X);
};
};
// straighten only if there are no vertical control points
if(hasVerticalLines)
{
cout << "Skipping automatic leveling because of existing vertical control points." << endl;
}
else
{
StraightenPanorama(pano).run();
CenterHorizontally(pano).run();
};
}
if (chooseProj) {
PanoramaOptions opts = pano.getOptions();
double hfov, vfov;
CalculateFitPanorama fitPano = CalculateFitPanorama(pano);
fitPano.run();
opts.setHFOV(fitPano.getResultHorizontalFOV());
opts.setHeight(roundi(fitPano.getResultHeight()));
vfov = opts.getVFOV();
hfov = opts.getHFOV();
// avoid perspective projection if field of view > 100 deg
double mf = 100;
if (vfov < mf) {
// cylindrical or rectilinear
if (hfov < mf) {
opts.setProjection(PanoramaOptions::RECTILINEAR);
} else {
opts.setProjection(PanoramaOptions::CYLINDRICAL);
}
}
// downscale pano a little
double sizeFactor = 0.7;
pano.setOptions(opts);
double w = CalculateOptimalScale::calcOptimalScale(pano);
opts.setWidth(roundi(opts.getWidth()*w*sizeFactor), true);
pano.setOptions(opts);
}
if(doPhotometric)
{
// photometric estimation
PanoramaOptions opts = pano.getOptions();
int nPoints = 200;
int pyrLevel=3;
bool randomPoints = true;
nPoints = nPoints * pano.getNrOfImages();
std::vector<vigra_ext::PointPairRGB> points;
ProgressDisplay *progressDisplay;
if(!quiet)
progressDisplay=new StreamProgressDisplay(std::cout);
else
progressDisplay=new DummyProgressDisplay();
try
{
loadImgsAndExtractPoints(pano, nPoints, pyrLevel, randomPoints, *progressDisplay, points, !quiet);
}
catch (std::exception & e)
{
cerr << "caught exception: " << e.what() << endl;
return 1;
};
if(!quiet)
cout << "\rSelected " << points.size() << " points" << endl;
if (points.size() == 0)
{
cerr << "Error: no overlapping points found, exiting" << endl;
return 1;
}
progressDisplay->startSubtask("Photometric Optimization", 0.0);
// first, ensure that vignetting and response coefficients are linked
const HuginBase::ImageVariableGroup::ImageVariableEnum vars[] = {
HuginBase::ImageVariableGroup::IVE_EMoRParams,
HuginBase::ImageVariableGroup::IVE_ResponseType,
HuginBase::ImageVariableGroup::IVE_VigCorrMode,
HuginBase::ImageVariableGroup::IVE_RadialVigCorrCoeff,
HuginBase::ImageVariableGroup::IVE_RadialVigCorrCenterShift
};
HuginBase::StandardImageVariableGroups variable_groups(pano);
HuginBase::ImageVariableGroup & lenses = variable_groups.getLenses();
for (size_t i = 0; i < lenses.getNumberOfParts(); i++)
{
std::set<HuginBase::ImageVariableGroup::ImageVariableEnum> links_needed;
links_needed.clear();
for (int v = 0; v < 5; v++)
{
if (!lenses.getVarLinkedInPart(vars[v], i))
{
links_needed.insert(vars[v]);
}
};
if (!links_needed.empty())
{
std::set<HuginBase::ImageVariableGroup::ImageVariableEnum>::iterator it;
for (it = links_needed.begin(); it != links_needed.end(); it++)
{
lenses.linkVariablePart(*it, i);
}
}
}
HuginBase::SmartPhotometricOptimizer::PhotometricOptimizeMode optmode =
HuginBase::SmartPhotometricOptimizer::OPT_PHOTOMETRIC_LDR;
if (opts.outputMode == PanoramaOptions::OUTPUT_HDR)
{
optmode = HuginBase::SmartPhotometricOptimizer::OPT_PHOTOMETRIC_HDR;
}
SmartPhotometricOptimizer photoOpt(pano, progressDisplay, pano.getOptimizeVector(), points, optmode);
photoOpt.run();
// calculate the mean exposure.
opts.outputExposureValue = CalculateMeanExposure::calcMeanExposure(pano);
pano.setOptions(opts);
progressDisplay->finishSubtask();
delete progressDisplay;
};
// write result
OptimizeVector optvec = pano.getOptimizeVector();
UIntSet imgs;
fill_set(imgs,0, pano.getNrOfImages()-1);
if (output != "") {
ofstream of(output.c_str());
pano.printPanoramaScript(of, optvec, pano.getOptions(), imgs, false, hugin_utils::getPathPrefix(scriptFile));
} else {
pano.printPanoramaScript(cout, optvec, pano.getOptions(), imgs, false, hugin_utils::getPathPrefix(scriptFile));
}
return 0;
}
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;
}
int main(int argc, char* argv[])
{
// parse arguments
const char* optstring = "o:i:l:h";
static struct option longOptions[] =
{
{"output", required_argument, NULL, 'o' },
{"image", required_argument, NULL, 'i' },
{"lines", required_argument, NULL, 'l' },
{"help", no_argument, NULL, 'h' },
0
};
UIntSet cmdlineImages;
int c;
int optionIndex = 0;
int nrLines = 5;
string output;
while ((c = getopt_long (argc, argv, optstring, longOptions,&optionIndex)) != -1)
{
switch (c)
{
case 'o':
output = optarg;
break;
case 'h':
usage(argv[0]);
return 0;
case 'i':
{
int imgNr=atoi(optarg);
if((imgNr==0) && (strcmp(optarg,"0")!=0))
{
cerr << "Could not parse image number.";
return 1;
};
cmdlineImages.insert(imgNr);
};
break;
case 'l':
nrLines=atoi(optarg);
if(nrLines<1)
{
cerr << "Could not parse number of lines.";
return 1;
};
break;
case ':':
cerr <<"Option " << longOptions[optionIndex].name << " requires a number" << endl;
return 1;
break;
case '?':
break;
default:
abort ();
}
}
if (argc - optind != 1)
{
cout << "Warning: " << argv[0] << " can only work on one project file at one time" << endl << endl;
usage(argv[0]);
return 1;
};
string input=argv[optind];
// read panorama
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;
}
if(pano.getNrOfImages()==0)
{
cerr << "error: project file does not contains any image" << endl;
cerr << "aborting processing" << endl;
return 1;
};
std::vector<size_t> imagesToProcess;
if(cmdlineImages.size()==0)
{
//no image given, process all
for(size_t i=0;i<pano.getNrOfImages();i++)
{
imagesToProcess.push_back(i);
};
}
else
{
//check, if given image numbers are valid
for(UIntSet::const_iterator it=cmdlineImages.begin();it!=cmdlineImages.end();it++)
{
if((*it)>=0 && (*it)<pano.getNrOfImages())
{
imagesToProcess.push_back(*it);
};
};
};
if(imagesToProcess.size()==0)
{
cerr << "No image to process found" << endl << "Stopping processing" << endl;
return 1;
};
PT_setProgressFcn(ptProgress);
PT_setInfoDlgFcn(ptinfoDlg);
cout << argv[0] << " is searching for vertical lines" << endl;
#if _WINDOWS
//multi threading of image loading results sometime in a race condition
//try to prevent this by initialisation of codecManager before
//running multi threading part
std::string s=vigra::impexListExtensions();
#endif
#ifdef HAS_PPL
size_t nrCPS=pano.getNrOfCtrlPoints();
Concurrency::parallel_for<size_t>(0,imagesToProcess.size(),[&pano,imagesToProcess,nrLines](size_t i)
#else
for(size_t i=0;i<imagesToProcess.size();i++)
#endif
{
unsigned int imgNr=imagesToProcess[i];
cout << "Working on image " << pano.getImage(imgNr).getFilename() << endl;
// now load and process all images
vigra::ImageImportInfo info(pano.getImage(imgNr).getFilename().c_str());
HuginBase::CPVector foundLines;
if(info.isGrayscale())
{
foundLines=LoadGrayImageAndFindLines(info, pano, imgNr, nrLines);
}
else
{
if(info.isColor())
{
//colour images
foundLines=LoadImageAndFindLines(info, pano, imgNr, nrLines);
}
else
{
std::cerr << "Image " << pano.getImage(imgNr).getFilename().c_str() << " has "
<< info.numBands() << " channels." << std::endl
<< "Linefind works only with grayscale or color images." << std::endl
<< "Skipping image." << std::endl;
};
};
#ifndef HAS_PPL
cout << "Found " << foundLines.size() << " vertical lines" << endl;
#endif
if(foundLines.size()>0)
{
for(CPVector::const_iterator cpIt=foundLines.begin(); cpIt!=foundLines.end(); cpIt++)
{
pano.addCtrlPoint(*cpIt);
};
};
}
#ifdef HAS_PPL
);
void OptimizePhotometricPanel::runOptimizer(const UIntSet & imgs)
{
DEBUG_TRACE("");
int mode = m_mode_cb->GetSelection();
// check if vignetting and response are linked, display a warning if they are not
// The variables to check:
const HuginBase::ImageVariableGroup::ImageVariableEnum vars[] = {
HuginBase::ImageVariableGroup::IVE_EMoRParams,
HuginBase::ImageVariableGroup::IVE_ResponseType,
HuginBase::ImageVariableGroup::IVE_VigCorrMode,
HuginBase::ImageVariableGroup::IVE_RadialVigCorrCoeff,
HuginBase::ImageVariableGroup::IVE_RadialVigCorrCenterShift
};
// keep a list of commands needed to fix it:
std::vector<PT::PanoCommand *> commands;
HuginBase::ConstImageVariableGroup & lenses = variable_groups->getLenses();
for (size_t i = 0; i < lenses.getNumberOfParts(); i++)
{
std::set<HuginBase::ImageVariableGroup::ImageVariableEnum> links_needed;
links_needed.clear();
for (int v = 0; v < 5; v++)
{
if (!lenses.getVarLinkedInPart(vars[v], i))
{
links_needed.insert(vars[v]);
}
};
if (!links_needed.empty())
{
commands.push_back(new PT::LinkLensVarsCmd(*m_pano, i, links_needed));
}
}
// if the list of commands is empty, all is good and we don't need a warning.
if (!commands.empty()) {
int ok = wxMessageBox(_("The same vignetting and response parameters should\nbe applied for all images of a lens.\nCurrently each image can have different parameters.\nLink parameters?"), _("Link parameters"), wxYES_NO | wxICON_INFORMATION);
if (ok == wxYES) {
// perform all the commands we stocked up earilier.
for (std::vector<PT::PanoCommand *>::iterator it = commands.begin();
it != commands.end(); it++)
{
GlobalCmdHist::getInstance().addCommand(*it);
}
} else {
// free all the commands, the user doesn't want them used.
for (std::vector<PT::PanoCommand *>::iterator it = commands.begin();
it != commands.end(); it++)
{
delete *it;
}
}
}
Panorama optPano = m_pano->getSubset(imgs);
PanoramaOptions opts = optPano.getOptions();
OptimizeVector optvars;
if(mode==OPT_CUSTOM)
{
optvars = getOptimizeVector();
if (optPano.getNrOfImages() != m_pano->getNrOfImages())
{
OptimizeVector o = optvars;
optvars.clear();
for (UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); ++it)
{
optvars.push_back(o[*it]);
}
}
unsigned int countVar=0;
for(unsigned int i=0;i<optvars.size();i++)
{
countVar+=optvars[i].size();
};
if(countVar==0)
{
wxMessageBox(_("You selected no parameters to optimize.\nTherefore optimization will be canceled."), _("Exposure optimization"), wxOK | wxICON_INFORMATION);
return;
};
};
std::vector<vigra_ext::PointPairRGB> m_points;
// extract points only if not done previously
long nPoints = 200;
wxConfigBase::Get()->Read(wxT("/OptimizePhotometric/nRandomPointsPerImage"), & nPoints);
// get parameters for estimation.
nPoints = wxGetNumberFromUser(_("The vignetting and exposure correction is determined by analysing color values in the overlapping areas.\nTo speed up the computation, only a random subset of points is used."),
_("Number of points per image"),
_("Photometric optimization"), nPoints, 0, 32000,
this);
if (nPoints < 0) {
return;
}
wxConfigBase::Get()->Write(wxT("/OptimizePhotometric/nRandomPointsPerImage"),nPoints);
ProgressReporterDialog progress(5.0, _("Photometric alignment"), _("Loading images"));
progress.Show();
nPoints = nPoints * optPano.getNrOfImages();
// get the small images
std::vector<vigra::FRGBImage *> srcImgs;
for (size_t i=0; i < optPano.getNrOfImages(); i++) {
ImageCache::EntryPtr e = ImageCache::getInstance().getSmallImage(optPano.getImage(i).getFilename());
vigra::FRGBImage * img = new FRGBImage;
if (!e) {
wxMessageBox(_("Error: could not load all images"), _("Error"));
return;
}
if (e->image8 && e->image8->width() > 0) {
reduceToNextLevel(*(e->image8), *img);
transformImage(vigra::srcImageRange(*img), vigra::destImage(*img),
vigra::functor::Arg1()/vigra::functor::Param(255.0));
} else if (e->image16 && e->image16->width() > 0) {
reduceToNextLevel(*(e->image16), *img);
transformImage(vigra::srcImageRange(*img), vigra::destImage(*img),
vigra::functor::Arg1()/vigra::functor::Param(65535.0));
} else {
reduceToNextLevel(*(e->imageFloat), *img);
}
srcImgs.push_back(img);
}
bool randomPoints = true;
extractPoints(optPano, srcImgs, nPoints, randomPoints, progress, m_points);
if (m_points.size() == 0) {
wxMessageBox(_("Error: no overlapping points found, Photometric optimization aborted"), _("Error"));
return;
}
double error = 0;
try {
//wxBusyCursor busyc;
if (mode != OPT_CUSTOM) {
// run automatic optimisation
// ensure that we have a valid anchor.
PanoramaOptions opts = optPano.getOptions();
if (opts.colorReferenceImage >= optPano.getNrOfImages()) {
opts.colorReferenceImage = 0;
optPano.setOptions(opts);
}
smartOptimizePhotometric(optPano, PhotometricOptimizeMode(mode),
m_points, progress, error);
} else {
// optimize selected parameters
optimizePhotometric(optPano, optvars,
m_points, progress, error);
}
} catch (std::exception & error) {
wxMessageBox(_("Internal error during photometric optimization:\n") + wxString(error.what(), wxConvLocal), _("Internal error"));
}
progress.Close();
// display information about the estimation process:
int ret = wxMessageBox(wxString::Format(_("Photometric optimization results:\nAverage difference (RMSE) between overlapping pixels: %.2f gray values (0..255)\n\nApply results?"), error*255),
_("Photometric optimization finished"), wxYES_NO | wxICON_INFORMATION,this);
if (ret == wxYES) {
DEBUG_DEBUG("Applying vignetting corr");
// TODO: merge into a single update command
const VariableMapVector & vars = optPano.getVariables();
GlobalCmdHist::getInstance().addCommand(
new PT::UpdateImagesVariablesCmd(*m_pano, imgs, vars)
);
//now update panorama exposure value
PanoramaOptions opts = m_pano->getOptions();
opts.outputExposureValue = calcMeanExposure(*m_pano);
GlobalCmdHist::getInstance().addCommand(
new PT::SetPanoOptionsCmd(*m_pano, opts)
);
}
}
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;
};
int main(int argc, char* argv[])
{
// parse arguments
const char* optstring = "o:t:h";
enum
{
MINOVERLAP=1000
};
static struct option longOptions[] =
{
{"output", required_argument, NULL, 'o' },
{"template", required_argument, NULL, 't'},
{"help", no_argument, NULL, 'h' },
0
};
int c;
int optionIndex = 0;
string output;
string templateFile;
while ((c = getopt_long (argc, argv, optstring, longOptions,&optionIndex)) != -1)
{
switch (c)
{
case 'o':
output = optarg;
break;
case 't':
templateFile = optarg;
if(!hugin_utils::FileExists(templateFile))
{
cerr << "Error: Template \"" << templateFile << "\" not found." << endl;
return 1;
};
break;
case 'h':
usage(argv[0]);
return 0;
case ':':
cerr <<"Option " << longOptions[optionIndex].name << " requires a parameter" << endl;
return 1;
break;
case '?':
break;
default:
abort ();
}
}
if (argc - optind == 0)
{
cout << "Error: No project file given." << endl;
return 1;
};
if (argc - optind != 1)
{
cout << "Error: pto_template can only work on one project file at one time" << endl;
return 1;
};
if (templateFile.length()==0)
{
cerr << "Error: No template given." << endl;
return 1;
};
string input=argv[optind];
// read panorama
Panorama pano;
ifstream prjfile(input.c_str());
if (!prjfile.good())
{
cerr << "Error: 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;
}
if(pano.getNrOfImages()==0)
{
cerr << "Error: project file does not contains any image" << endl;
cerr << "aborting processing" << endl;
return 1;
};
Panorama newPano;
ifstream templateStream(templateFile.c_str());
if (!templateStream.good())
{
cerr << "Error: could not open template script : " << templateFile << endl;
return 1;
}
newPano.setFilePrefix(hugin_utils::getPathPrefix(templateFile));
err = newPano.readData(templateStream);
if (err != DocumentData::SUCCESSFUL)
{
cerr << "Error while parsing template script: " << templateFile << endl;
cerr << "DocumentData::ReadWriteError code: " << err << endl;
return 1;
}
if (pano.getNrOfImages() != newPano.getNrOfImages())
{
cerr << "Error: template expects " << newPano.getNrOfImages() << " images," << endl
<< " current project contains " << pano.getNrOfImages() << " images" << endl
<< " Could not apply template" << endl;
return false;
}
// check image sizes, and correct parameters if required.
for (unsigned int i = 0; i < newPano.getNrOfImages(); i++)
{
// check if image size is correct
const SrcPanoImage & oldSrcImg = pano.getImage(i);
SrcPanoImage newSrcImg = newPano.getSrcImage(i);
// just keep the file name
newSrcImg.setFilename(oldSrcImg.getFilename());
if (oldSrcImg.getSize() != newSrcImg.getSize())
{
// adjust size properly.
newSrcImg.resize(oldSrcImg.getSize());
}
newPano.setSrcImage(i, newSrcImg);
}
// keep old control points.
newPano.setCtrlPoints(pano.getCtrlPoints());
//write output
UIntSet imgs;
fill_set(imgs, 0, newPano.getNrOfImages()-1);
// Set output .pto filename if not given
if (output=="")
{
output=input.substr(0,input.length()-4).append("_template.pto");
}
ofstream of(output.c_str());
newPano.printPanoramaScript(of, newPano.getOptimizeVector(), newPano.getOptions(), imgs, false, hugin_utils::getPathPrefix(input));
cout << endl << "Written output to " << output << endl;
return 0;
}
CPVector AutoPanoKolor::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
wxString autopanoExe = setting.GetProg();
// write default autopano.kolor.com flags
wxString autopanoArgs = setting.GetArgs();
string imgFiles;
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); it++)
{
imgFiles.append(" ").append(quoteFilename(pano.getImage(*it).getFilename()));
}
wxString ptofilepath = wxFileName::CreateTempFileName(wxT("ap_res"));
wxFileName ptofn(ptofilepath);
wxString ptofile = ptofn.GetFullName();
autopanoArgs.Replace(wxT("%o"), ptofile);
wxString tmp;
tmp.Printf(wxT("%d"), nFeatures);
autopanoArgs.Replace(wxT("%p"), tmp);
SrcPanoImage firstImg = pano.getSrcImage(*imgs.begin());
tmp.Printf(wxT("%f"), firstImg.getHFOV());
autopanoArgs.Replace(wxT("%v"), tmp);
tmp.Printf(wxT("%d"), (int) firstImg.getProjection());
autopanoArgs.Replace(wxT("%f"), tmp);
autopanoArgs.Replace(wxT("%i"), wxString (imgFiles.c_str(), HUGIN_CONV_FILENAME));
wxString tempdir = ptofn.GetPath();
autopanoArgs.Replace(wxT("%d"), ptofn.GetPath());
wxString cmd;
cmd.Printf(wxT("%s %s"), wxQuoteFilename(autopanoExe).c_str(), autopanoArgs.c_str());
#ifdef __WXMSW__
if (cmd.size() > 32766) {
CPMessage(_("Command line for control point detector too long.\nThis is a Windows limitation\nPlease select less images, or place the images in a folder with\na shorter pathname"),
_("Too many images selected"), parent);
return cps;
}
#endif
DEBUG_DEBUG("Executing: " << cmd.c_str());
wxArrayString arguments = wxCmdLineParser::ConvertStringToArgs(cmd);
if (arguments.GetCount() > 127) {
DEBUG_ERROR("Too many arguments for call to wxExecute()");
DEBUG_ERROR("Try using the %s parameter in preferences");
CPMessage(wxString::Format(_("Too many arguments (images). Try using the %%s parameter in preferences.\n\n Could not execute command: %s"), autopanoExe.c_str()), _("wxExecute Error"), parent);
return cps;
}
ret_value = 0;
// use MyExternalCmdExecDialog
ret_value = CPExecute(autopanoExe, autopanoArgs, _("finding control points"), parent);
if (ret_value == HUGIN_EXIT_CODE_CANCELLED) {
return cps;
} else if (ret_value == -1) {
CPMessage( wxString::Format(_("Could not execute command: %s"),cmd.c_str()), _("wxExecute Error"), parent);
return cps;
} else if (ret_value > 0) {
CPMessage(wxString::Format(_("Command: %s\nfailed with error code: %d"),cmd.c_str(),ret_value),
_("wxExecute Error"), parent);
return cps;
}
ptofile = ptofn.GetFullPath();
ptofile.append(wxT("0.oto"));
if (! wxFileExists(ptofile.c_str()) ) {
CPMessage(wxString::Format(_("Could not open %s for reading\nThis is an indicator that the control point detector call failed,\nor incorrect command line parameters have been used.\n\nExecuted command: %s"),ptofile.c_str(),cmd.c_str()),
_("Control point detector failure"), parent );
return cps;
}
// read and update control points
cps = readUpdatedControlPoints((const char *)ptofile.mb_str(HUGIN_CONV_FILENAME), pano);
if (!wxRemoveFile(ptofile)) {
DEBUG_DEBUG("could not remove temporary file: " << ptofile.c_str());
}
return cps;
}
CPVector AutoPanoSift::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size() == 0) {
return cps;
}
// create suitable command line..
wxString autopanoExe = GetProgPath(setting.GetProg());
if(setting.IsTwoStepDetector())
{
std::vector<wxString> keyFiles(pano.getNrOfImages());
cps=automatch(setting, pano, imgs, nFeatures, keyFiles, ret_value, parent);
Cleanup(setting, pano, imgs, keyFiles, parent);
return cps;
};
wxString autopanoArgs = setting.GetArgs();
// TODO: create a secure temporary filename here
wxString ptofile = wxFileName::CreateTempFileName(wxT("ap_res"));
autopanoArgs.Replace(wxT("%o"), ptofile);
wxString tmp;
tmp.Printf(wxT("%d"), nFeatures);
autopanoArgs.Replace(wxT("%p"), tmp);
SrcPanoImage firstImg = pano.getSrcImage(*imgs.begin());
tmp.Printf(wxT("%f"), firstImg.getHFOV());
autopanoArgs.Replace(wxT("%v"), tmp);
tmp.Printf(wxT("%d"), (int) firstImg.getProjection());
autopanoArgs.Replace(wxT("%f"), tmp);
long idx = autopanoArgs.Find(wxT("%namefile")) ;
DEBUG_DEBUG("find %namefile in '"<< autopanoArgs.mb_str(wxConvLocal) << "' returned: " << idx);
bool use_namefile = idx >=0;
idx = autopanoArgs.Find(wxT("%i"));
DEBUG_DEBUG("find %i in '"<< autopanoArgs.mb_str(wxConvLocal) << "' returned: " << idx);
bool use_params = idx >=0;
idx = autopanoArgs.Find(wxT("%s"));
bool use_inputscript = idx >=0;
if (! (use_namefile || use_params || use_inputscript)) {
CPMessage(_("Please use %namefile, %i or %s to specify the input files for the control point detector"),
_("Error in control point detector command"), parent);
return cps;
}
wxFile namefile;
wxString namefile_name;
if (use_namefile) {
// create temporary file with image names.
namefile_name = wxFileName::CreateTempFileName(wxT("ap_imgnames"), &namefile);
DEBUG_DEBUG("before replace %namefile: " << autopanoArgs.mb_str(wxConvLocal));
autopanoArgs.Replace(wxT("%namefile"), namefile_name);
DEBUG_DEBUG("after replace %namefile: " << autopanoArgs.mb_str(wxConvLocal));
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); it++)
{
namefile.Write(wxString(pano.getImage(*it).getFilename().c_str(), HUGIN_CONV_FILENAME));
namefile.Write(wxT("\r\n"));
}
// close namefile
if (namefile_name != wxString(wxT(""))) {
namefile.Close();
}
} else {
string imgFiles;
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); it++)
{
imgFiles.append(" ").append(quoteFilename(pano.getImage(*it).getFilename()));
}
autopanoArgs.Replace(wxT("%i"), wxString (imgFiles.c_str(), HUGIN_CONV_FILENAME));
}
wxString ptoinfile_name;
if (use_inputscript) {
wxFile ptoinfile;
ptoinfile_name = wxFileName::CreateTempFileName(wxT("ap_inproj"));
autopanoArgs.Replace(wxT("%s"), ptoinfile_name);
ofstream ptoinstream(ptoinfile_name.mb_str(wxConvFile));
//delete all existing control points in temp project
//otherwise the existing control points will be loaded again
Panorama tempPano=pano.duplicate();
CPVector emptyCPV;
tempPano.setCtrlPoints(emptyCPV);
tempPano.printPanoramaScript(ptoinstream, tempPano.getOptimizeVector(), tempPano.getOptions(), imgs, false);
}
#ifdef __WXMSW__
if (autopanoArgs.size() > 32000) {
CPMessage(_("Command line for control point detector too long.\nThis is a Windows limitation\nPlease select less images, or place the images in a folder with\na shorter pathname"),
_("Too many images selected"), parent );
return cps;
}
#endif
wxString cmd = autopanoExe + wxT(" ") + autopanoArgs;
DEBUG_DEBUG("Executing: " << autopanoExe.mb_str(wxConvLocal) << " " << autopanoArgs.mb_str(wxConvLocal));
wxArrayString arguments = wxCmdLineParser::ConvertStringToArgs(autopanoArgs);
if (arguments.GetCount() > 127) {
DEBUG_ERROR("Too many arguments for call to wxExecute()");
DEBUG_ERROR("Try using the %%s parameter in preferences");
CPMessage(wxString::Format(_("Too many arguments (images). Try using the %%s parameter in preferences.\n\n Could not execute command: %s"), autopanoExe.c_str()), _("wxExecute Error"), parent);
return cps;
}
ret_value = 0;
// use MyExternalCmdExecDialog
ret_value = CPExecute(autopanoExe, autopanoArgs, _("finding control points"), parent);
if (ret_value == HUGIN_EXIT_CODE_CANCELLED) {
return cps;
} else if (ret_value == -1) {
CPMessage( wxString::Format(_("Could not execute command: %s"),cmd.c_str()), _("wxExecute Error"), parent);
return cps;
} else if (ret_value > 0) {
CPMessage(wxString::Format(_("Command: %s\nfailed with error code: %d"),cmd.c_str(),ret_value),
_("wxExecute Error"), parent);
return cps;
}
if (! wxFileExists(ptofile.c_str())) {
CPMessage(wxString::Format(_("Could not open %s for reading\nThis is an indicator that the control point detector call failed,\nor incorrect command line parameters have been used.\n\nExecuted command: %s"),ptofile.c_str(),cmd.c_str()),
_("Control point detector failure"), parent );
return cps;
}
// read and update control points
if(use_inputscript)
{
cps = readUpdatedControlPoints((const char*)ptofile.mb_str(HUGIN_CONV_FILENAME), pano, imgs);
}
else
{
cps = readUpdatedControlPoints((const char *)ptofile.mb_str(HUGIN_CONV_FILENAME), pano);
};
if (namefile_name != wxString(wxT(""))) {
namefile.Close();
wxRemoveFile(namefile_name);
}
if (ptoinfile_name != wxString(wxT(""))) {
wxRemoveFile(ptoinfile_name);
}
if (!wxRemoveFile(ptofile)) {
DEBUG_DEBUG("could not remove temporary file: " << ptofile.c_str());
}
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;
};
CPVector AutoPanoSiftPreAlign::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
std::vector<wxString> keyFiles(pano.getNrOfImages());
return automatch(setting, pano, imgs, nFeatures, keyFiles, ret_value, parent);
};
int main(int argc, char* argv[])
{
// parse arguments
const char* optstring = "o:p:f:c:s:lh";
static struct option longOptions[] =
{
{"output", required_argument, NULL, 'o' },
{"projection", required_argument, NULL, 'p' },
{"fov", required_argument, NULL, 'f' },
{"crop", required_argument, NULL, 'c' },
{"stacklength", required_argument, NULL, 's' },
{"linkstacks", no_argument, NULL, 'l' },
{"distortion", no_argument, NULL, 300 },
{"vignetting", no_argument, NULL, 301 },
{"help", no_argument, NULL, 'h' },
0
};
int c;
int optionIndex = 0;
string output;
int projection=-1;
float fov=-1;
int stackLength=1;
bool linkStacks=false;
vigra::Rect2D cropRect(0,0,0,0);
bool loadDistortion=false;
bool loadVignetting=false;
while ((c = getopt_long (argc, argv, optstring, longOptions,&optionIndex)) != -1)
{
switch (c)
{
case 'o':
output = optarg;
break;
case 'h':
usage(argv[0]);
return 0;
case 'p':
{
projection=atoi(optarg);
if((projection==0) && (strcmp(optarg,"0")!=0))
{
cerr << "Could not parse image number.";
return 1;
};
if(projection<0)
{
cerr << "Invalid projection number." << endl;
return 1;
};
};
break;
case 'f':
fov=atof(optarg);
if(fov<1 || fov>360)
{
cerr << "Invalid field of view";
return 1;
};
break;
case 'c':
{
int left, right, top, bottom;
int n=sscanf(optarg, "%d,%d,%d,%d", &left, &right, &top, &bottom);
if (n==4)
{
if(right>left && bottom>top)
{
cropRect.setUpperLeft(vigra::Point2D(left,top));
cropRect.setLowerRight(vigra::Point2D(right,bottom));
}
else
{
cerr << "Invalid crop area" << endl;
return 1;
};
}
else
{
cerr << "Could not parse crop values" << endl;
return 1;
};
};
break;
case 's':
stackLength=atoi(optarg);
if(stackLength<1)
{
cerr << "Could not parse stack length." << endl;
return 1;
};
break;
case 'l':
linkStacks=true;
break;
case 300:
loadDistortion=true;
break;
case 301:
loadVignetting=true;
break;
case ':':
cerr <<"Option " << longOptions[optionIndex].name << " requires a number" << endl;
return 1;
break;
case '?':
break;
default:
abort ();
}
}
if (argc - optind < 1)
{
usage(argv[0]);
return 1;
};
cout << "Generating pto file..." << endl;
cout.flush();
std::vector<string> filelist;
while(optind<argc)
{
string input;
#ifdef _WINDOWS
//do globbing
input=GetAbsoluteFilename(argv[optind]);
char drive[_MAX_DRIVE];
char dir[_MAX_DIR];
char fname[_MAX_FNAME];
char ext[_MAX_EXT];
char newFile[_MAX_PATH];
_splitpath(input.c_str(), drive, dir, NULL, NULL);
struct _finddata_t finddata;
intptr_t findhandle = _findfirst(input.c_str(), &finddata);
if (findhandle != -1)
{
do
{
//ignore folder, can be happen when using *.*
if((finddata.attrib & _A_SUBDIR)==0)
{
_splitpath(finddata.name, NULL, NULL, fname, ext);
_makepath(newFile, drive, dir, fname, ext);
//check if valid image file
if(vigra::isImage(newFile))
{
filelist.push_back(std::string(newFile));
};
};
}
while (_findnext(findhandle, &finddata) == 0);
_findclose(findhandle);
}
#else
input=argv[optind];
if(hugin_utils::FileExists(input))
{
if(vigra::isImage(input.c_str()))
{
filelist.push_back(GetAbsoluteFilename(input));
};
};
#endif
optind++;
};
if(filelist.size()==0)
{
cerr << "No valid image files given." << endl;
return 1;
};
//sort filenames
sort(filelist.begin(),filelist.end(),doj::alphanum_less());
if(projection<0)
{
InitLensDB();
};
Panorama pano;
for(size_t i=0; i<filelist.size();i++)
{
SrcPanoImage srcImage;
cout << "Reading " << filelist[i] << "..." << endl;
srcImage.setFilename(filelist[i]);
try
{
vigra::ImageImportInfo info(filelist[i].c_str());
if(info.width()==0 || info.height()==0)
{
cerr << "ERROR: Could not decode image " << filelist[i] << endl
<< "Skipping this image." << endl << endl;
continue;
}
srcImage.setSize(info.size());
std::string pixelType=info.getPixelType();
if((pixelType=="UINT8") || (pixelType=="UINT16") || (pixelType=="INT16"))
{
srcImage.setResponseType(HuginBase::SrcPanoImage::RESPONSE_EMOR);
}
else
{
srcImage.setResponseType(HuginBase::SrcPanoImage::RESPONSE_LINEAR);
};
}
catch(std::exception & e)
{
cerr << "ERROR: caught exception: " << e.what() << endl;
cerr << "Could not read image information for file " << filelist[i] << endl;
cerr << "Skipping this image." << endl << endl;
continue;
};
srcImage.readEXIF();
srcImage.applyEXIFValues();
if(projection>=0)
{
srcImage.setProjection((HuginBase::BaseSrcPanoImage::Projection)projection);
}
else
{
srcImage.readProjectionFromDB();
};
if(fov>0)
{
srcImage.setHFOV(fov);
if(srcImage.getCropFactor()==0)
{
srcImage.setCropFactor(1.0);
};
}
else
{
//set plausible default value if they could not read from exif
if(srcImage.getExifFocalLength()==0 || srcImage.getCropFactor()==0)
{
cout << "\tNo value for field of view found in EXIF data. " << endl
<< "\tAssuming a HFOV of 50 degrees. " << endl;
srcImage.setHFOV(50);
srcImage.setCropFactor(1.0);
};
};
if(cropRect.width()>0 && cropRect.height()>0)
{
if(srcImage.isCircularCrop())
{
srcImage.setCropMode(SrcPanoImage::CROP_CIRCLE);
}
else
{
srcImage.setCropMode(SrcPanoImage::CROP_RECTANGLE);
};
srcImage.setAutoCenterCrop(false);
srcImage.setCropRect(cropRect);
};
if(loadDistortion)
{
if(srcImage.readDistortionFromDB())
{
cout << "\tRead distortion data from lensfun database." << endl;
}
else
{
cout << "\tNo valid distortion data found in lensfun database." << endl;
};
};
if(loadVignetting)
{
if(srcImage.readVignettingFromDB())
{
cout << "\tRead vignetting data from lensfun database." << endl;
}
else
{
cout << "\tNo valid vignetting data found in lensfun database." << endl;
};
};
pano.addImage(srcImage);
};
if(pano.getNrOfImages()==0)
{
cerr << "Adding images to project files failed." << endl;
HuginBase::LensDB::LensDB::Clean();
return 1;
};
//link lenses
if(pano.getNrOfImages()>1)
{
double redBalanceAnchor=pano.getImage(pano.getOptions().colorReferenceImage).getExifRedBalance();
double blueBalanceAnchor=pano.getImage(pano.getOptions().colorReferenceImage).getExifBlueBalance();
if(fabs(redBalanceAnchor)<1e-2)
{
redBalanceAnchor=1;
};
if(fabs(blueBalanceAnchor)<1e-2)
{
blueBalanceAnchor=1;
};
StandardImageVariableGroups variable_groups(pano);
ImageVariableGroup& lenses = variable_groups.getLenses();
for(size_t i=1;i<pano.getNrOfImages();i++)
{
int image=-1;
const SrcPanoImage & srcImg=pano.getImage(i);
for(size_t j=0;j<i;j++)
{
const SrcPanoImage & compareImg=pano.getImage(j);
if(srcImg.getHFOV()==compareImg.getHFOV() &&
srcImg.getProjection()==compareImg.getProjection() &&
srcImg.getExifModel()==compareImg.getExifModel() &&
srcImg.getExifMake()==compareImg.getExifMake() &&
srcImg.getSize()==compareImg.getSize())
{
image=j;
break;
};
};
if(image!=-1)
{
SrcPanoImage img=pano.getSrcImage(i);
double ev=img.getExposureValue();
lenses.switchParts(i,lenses.getPartNumber(image));
lenses.unlinkVariableImage(HuginBase::ImageVariableGroup::IVE_ExposureValue, i);
img.setExposureValue(ev);
lenses.unlinkVariableImage(HuginBase::ImageVariableGroup::IVE_WhiteBalanceRed, i);
lenses.unlinkVariableImage(HuginBase::ImageVariableGroup::IVE_WhiteBalanceBlue, i);
img.setWhiteBalanceRed(img.getExifRedBalance()/redBalanceAnchor);
img.setWhiteBalanceBlue(img.getExifBlueBalance()/blueBalanceAnchor);
pano.setSrcImage(i, img);
};
};
cout << endl << "Assigned " << lenses.getNumberOfParts() << " lenses." << endl;
if(lenses.getNumberOfParts()>1 && stackLength>1)
{
cout << "Project contains more than one lens, but you requested to assign" << endl
<< "stacks. This is not supported. Therefore stacks will not be" << endl
<< "assigned." << endl << endl;
stackLength=1;
};
};
//link stacks
if(pano.getNrOfImages()>1 && stackLength>1)
{
stackLength=std::min<int>(stackLength,pano.getNrOfImages());
int stackCount=pano.getNrOfImages() / stackLength;
if(pano.getNrOfImages() % stackLength > 0)
{
stackCount++;
};
if(stackCount<pano.getNrOfImages())
{
for(size_t stackNr=0;stackNr<stackCount;stackNr++)
{
size_t firstImgStack=stackNr*stackLength;
for(size_t i=0;i<stackLength;i++)
{
if(firstImgStack+i<pano.getNrOfImages())
{
pano.linkImageVariableStack(firstImgStack,firstImgStack+i);
if(linkStacks)
{
pano.linkImageVariableYaw(firstImgStack,firstImgStack+i);
pano.linkImageVariablePitch(firstImgStack,firstImgStack+i);
pano.linkImageVariableRoll(firstImgStack,firstImgStack+i);
};
};
};
};
cout << "Assigned " << stackCount << " stacks." << endl;
};
};
//set output exposure value
PanoramaOptions opt = pano.getOptions();
opt.outputExposureValue = CalculateMeanExposure::calcMeanExposure(pano);
pano.setOptions(opt);
// set optimizer switches
pano.setOptimizerSwitch(HuginBase::OPT_PAIR);
pano.setPhotometricOptimizerSwitch(HuginBase::OPT_EXPOSURE | HuginBase::OPT_VIGNETTING | HuginBase::OPT_RESPONSE);
//output
if(output=="")
{
output=hugin_utils::stripExtension(pano.getImage(0).getFilename());
if(pano.getNrOfImages()>1)
{
output.append("-");
output.append(hugin_utils::stripExtension(hugin_utils::stripPath(pano.getImage(pano.getNrOfImages()-1).getFilename())));
};
output=output.append(".pto");
};
output=GetAbsoluteFilename(output);
//write output
UIntSet imgs;
fill_set(imgs,0, pano.getNrOfImages()-1);
ofstream of(output.c_str());
pano.printPanoramaScript(of, pano.getOptimizeVector(), pano.getOptions(), imgs, false, hugin_utils::getPathPrefix(output));
cout << endl << "Written output to " << output << endl;
HuginBase::LensDB::LensDB::Clean();
return 0;
}
int main()
{
FeaturesService featuresService = FeaturesService();
string imagename = "0";
vector<string> imagenames;
vector<Mat> images, imagesnocolor;
vector<vector<Matches>> imagesmatches;
vector<vector<int>> relatedImages;
vector<set<int>> panoramas;
vector<vector<Matches>> panoramasmatches;
unsigned int numImages;
while (imagename.compare("") != 0 && imagename.compare("-1") != 0) {
cout << "Insert image path to load (insert -1 to start loading predetermined images or just ENTER to finish the list of images): ";
cin >> imagename;
imagenames.push_back(imagename);
}
if (imagename.compare("-1") == 0) {
imagenames.push_back("./yosemite2.jpg");
imagenames.push_back("./yosemite1.jpg");
imagenames.push_back("./b.JPG");
imagenames.push_back("./yosemite3.jpg");
imagenames.push_back("./a.JPG");
imagenames.push_back("./yosemite4.jpg");
imagenames.push_back("./yosemite5.jpg");
imagenames.push_back("./raufusskauz.JPG");
imagenames.push_back("./yosemite6.jpg");
imagenames.push_back("./yosemite7.jpg");
imagenames.push_back("./c.JPG");
}
cout << "Loading images" << endl;
imagenames = featuresService.loadImagesArray(imagenames, images, imagesnocolor);
numImages = imagenames.size();
cout << "Computing homographies" << endl;
featuresService.computeMatchesAndHomography(imagesnocolor, imagesmatches);
featuresService.computeRelatedImages(imagesmatches, relatedImages);
featuresService.computePanoramas(relatedImages, panoramasmatches, imagesmatches);
cout << "Related images" << endl;
vector<Panorama> panoramasfinales;
int lastadded;
cout << "Creating panoramas" << endl;
for (int itout = 0; itout < panoramasmatches.size(); itout++) {
Panorama newpanorama;
newpanorama.addImage(panoramasmatches[itout][0].getImage2(), images[panoramasmatches[itout][0].getImage2().getImgNumber()]);
lastadded = panoramasmatches[itout][0].getImage2().getImgNumber();
panoramasmatches[itout].erase(panoramasmatches[itout].begin());
int size = panoramasmatches[itout].size();
for (int i = 0; i < size; i++) {
for (int itin = 0; itin < panoramasmatches[itout].size(); itin++) {
if (panoramasmatches[itout][itin].getImage1().getImgNumber() == lastadded) {
newpanorama.addImage(panoramasmatches[itout][itin].getImage2(), images[panoramasmatches[itout][itin].getImage2().getImgNumber()]);
lastadded = panoramasmatches[itout][itin].getImage2().getImgNumber();
break;
}
}
}
Mat destiny;
bilateralFilter(newpanorama.getPanorama(), destiny, 5, 20,20);
newpanorama.setPanorama(destiny);
panoramasfinales.insert(panoramasfinales.end(), newpanorama);
}
cout << "Showing panoramas" << endl;
for (unsigned int i = 0; i < panoramasfinales.size(); i++) {
string nombre = "Resultado";
nombre.append(to_string(i));
imshow(nombre, panoramasfinales[i].getPanorama());
}
waitKey(0);
system("pause");
}
int main(int argc, char* argv[])
{
// Exit with usage unless filename given as argument
if (argc < 2)
{
usage();
}
unsigned int i = 1, mask = 0;
double threshold = 0.5;
vector<string> images_to_mask;
string pto_file = (""),output_pto = ("");
string mask_format = ("PNG");
string model_file = ("celeste.model");
int course_fine = 0;
int resize_dimension=800;
// Deal with arguments
// parse arguments
int c;
const char * optstring = "i:o:d:s:t:m:f:r:h";
while ((c = getopt (argc, argv, optstring)) != -1)
{
switch(c)
{
case 'h':
usage();
break;
case 'i':
pto_file=optarg;
break;
case 'o':
output_pto=optarg;
break;
case 't':
threshold = atof(optarg);
if(threshold<=0 || threshold>1)
{
cerr << "Invalid parameter: threshold (-t) should be between 0 and 1" << std::endl;
return 1;
};
break;
case 'm':
mask = atoi(optarg);
if(mask<0 || mask>1)
{
cerr << "Invalid parameter: mask parameter (-m) can only be 0 or 1" << std::endl;
return 1;
};
break;
case 'f':
mask_format = optarg;
break;
case 'd':
model_file = optarg;
break;
case 'r':
course_fine = atoi(optarg);
break;
case 's':
resize_dimension = atoi(optarg);
if(resize_dimension<100)
{
cerr << "Invalid parameter: maximum dimension (-s) should be bigger than 100" << std::endl;
return 1;
};
break;
case ':':
cerr <<"Missing parameter for parameter " << argv[optind] << endl;
return 1;
break;
case '?': /* invalid parameter */
return 1;
break;
default: /* unknown */
usage();
};
};
while(optind<argc)
{
images_to_mask.push_back(argv[optind]);
optind++;
};
if(images_to_mask.size()==0 && pto_file.empty())
{
cout << "No project file or image files given."<< endl;
return 1;
};
// Check model file
if (!fileexists(model_file)){
#if _WINDOWS
char buffer[MAX_PATH];//always use MAX_PATH for filepaths
GetModuleFileName(NULL,buffer,sizeof(buffer));
string working_path=(buffer);
string install_path_model="";
//remove filename
std::string::size_type pos=working_path.rfind("\\");
if(pos!=std::string::npos)
{
working_path.erase(pos);
//remove last dir: should be bin
pos=working_path.rfind("\\");
if(pos!=std::string::npos)
{
working_path.erase(pos);
//append path delimiter and path
working_path.append("\\share\\hugin\\data\\");
install_path_model=working_path;
}
}
#elif defined MAC_SELF_CONTAINED_BUNDLE
char path[PATH_MAX + 1];
uint32_t size = sizeof(path);
string install_path_model("");
if (_NSGetExecutablePath(path, &size) == 0)
{
install_path_model=dirname(path);
install_path_model.append("/../Resources/xrc/");
}
#else
string install_path_model = (INSTALL_DATA_DIR);
#endif
install_path_model.append(model_file);
if (!fileexists(install_path_model)){
cout << endl << "Couldn't open SVM model file " << model_file << endl;
cout << "Also tried " << install_path_model << endl << endl;
exit(1);
}else{
model_file = install_path_model;
}
}
// Set output .pto filename if not given
if (output_pto == ("") && pto_file != ("")){
output_pto = pto_file.substr(0,pto_file.length()-4).append("_celeste.pto");
}
// Convert mask format to upper case
transform(mask_format.begin(), mask_format.end(), mask_format.begin(),(int(*)(int)) toupper);
if (mask_format == ("JPG")){
mask_format = ("JPEG");
}
if (mask_format != ("PNG") &&mask_format != ("BMP") && mask_format != ("GIF") && mask_format != ("JPEG") && mask_format != ("TIFF")){
mask_format = ("TIFF");
}
// Print some stuff out
cout << endl << "Celeste: Removes cloud-like control points from Hugin project files and creates image masks" << endl;
cout << "using Support Vector Machines." << endl;
cout << endl << "Version " << DISPLAY_VERSION << endl << endl;
cout << "Arguments:" << endl;
cout << "Input Hugin file:\t" << pto_file << endl;
cout << "Output Hugin file:\t" << output_pto << endl;
cout << "SVM model file:\t\t" << model_file << endl;
cout << "Max dimension:\t\t" << resize_dimension << endl;
cout << "SVM threshold:\t\t" << threshold << endl;
cout << "Create PTO masks:\t";
if (mask){
cout << "Yes" << endl;
}else{
cout << "No" << endl;
}
cout << "Mask format:\t\t" << mask_format << endl;
cout << "Filter radius:\t\t";
// Mask resolution
int radius;
if (course_fine)
{
radius = 10;
cout << "Small" << endl << endl;
}
else
{
radius=20;
cout << "Large" << endl << endl;
}
// Convert mask format to lower case
cout << "Converting mask format to lower case..." << endl;
transform(mask_format.begin(), mask_format.end(), mask_format.begin(),(int(*)(int)) tolower);
// Vectors to store SVM responses and PTO file info etc
vector<string> images,pto_file_top,pto_file_cps,pto_file_end;
vector<double> svm_responses;
cout << "Loading SVMmodel..." << endl;
struct celeste::svm_model* model;
if(!celeste::loadSVMmodel(model,model_file))
{
cerr << "Could not load SVMmodel" << endl;
return 1;
};
// Mask images
if (images_to_mask.size())
{
cout << "Masking images..." << endl << endl;
for (unsigned int l = 0; l < images_to_mask.size(); l++)
{
std::string imagefile=images_to_mask[l];
try
{
cout << "Opening image file:\t" << imagefile << endl;
// Read image given and convert to UInt16
vigra::UInt16RGBImage in=loadAndConvertImage(imagefile);
if(in.width()==0 || in.height()==0)
{
continue;
};
// Create mask file name
string mask_name = generateMaskName(imagefile,mask_format);
cout << "Generating mask:\t" << mask_name << endl;
// Create mask
vigra::BImage mask=celeste::getCelesteMask(model,in,radius,threshold,resize_dimension);
exportImage(srcImageRange(mask), vigra::ImageExportInfo(mask_name.c_str()).setPixelType("UINT8"));
}
catch (vigra::StdException & e)
{
// catch any errors that might have occured and print their reason
cout << "Unable to open file:\t" << imagefile << endl << endl;
cout << e.what() << endl << endl;
};
};
};
// Process PTO file
if (pto_file != (""))
{
cout << "Parsing Hugin project file " << pto_file << endl << endl;
Panorama pano;
ifstream prjfile(pto_file.c_str());
if (!prjfile.good())
{
cerr << "could not open script : " << pto_file << endl;
celeste::destroySVMmodel(model);
return 1;
}
pano.setFilePrefix(hugin_utils::getPathPrefix(pto_file));
DocumentData::ReadWriteError err = pano.readData(prjfile);
if (err != DocumentData::SUCCESSFUL)
{
cerr << "error while parsing panos tool script: " << pto_file << endl;
cerr << "DocumentData::ReadWriteError code: " << err << endl;
celeste::destroySVMmodel(model);
return 1;
}
cout << "Done parsing Hugin step 1" << endl;
for(unsigned int i=0;i<pano.getNrOfImages();i++)
{
CPointVector cps=pano.getCtrlPointsVectorForImage(i);
if(cps.size()>0 || mask)
{
try
{
string imagefile=pano.getImage(i).getFilename();
vigra::UInt16RGBImage in=loadAndConvertImage(imagefile);
if(in.width()==0 || in.height()==0)
{
continue;
};
if(cps.size()>0)
{
UIntSet cloudCP=celeste::getCelesteControlPoints(model,in,cps,radius,threshold,resize_dimension);
if(cloudCP.size()>0)
{
for(UIntSet::reverse_iterator it=cloudCP.rbegin();it!=cloudCP.rend();++it)
{
pano.removeCtrlPoint(*it);
};
};
};
if(mask)
{
string mask_name = generateMaskName(imagefile,mask_format);
// Create mask
vigra::BImage mask=celeste::getCelesteMask(model,in,radius,threshold,resize_dimension);
exportImage(srcImageRange(mask), vigra::ImageExportInfo(mask_name.c_str()).setPixelType("UINT8"));
};
}
catch (vigra::StdException & e)
{
// catch any errors that might have occured and print their reason
cout << "Unable to open file:\t" << pano.getImage(i).getFilename() << endl << endl;
cout << e.what() << endl << endl;
};
};
};
cout << "about to write new pto file" << endl;
// write new pto file
ofstream of(output_pto.c_str());
UIntSet imgs;
cout << "fill_set..." << endl;
fill_set(imgs,0, pano.getNrOfImages()-1);
cout << "printing..." << endl;
pano.printPanoramaScript(of, pano.getOptimizeVector(), pano.getOptions(), imgs, false, hugin_utils::getPathPrefix(pto_file));
cout << endl << "Written file " << output_pto << endl << endl;
}
celeste::destroySVMmodel(model);
return(0);
}
CPVector AutoPanoSiftStack::automatch(CPDetectorSetting &setting, Panorama & pano, const UIntSet & imgs,
int nFeatures, int & ret_value, wxWindow *parent)
{
CPVector cps;
if (imgs.size() == 0) {
return cps;
};
std::vector<stack_img> stack_images;
HuginBase::StandardImageVariableGroups* variable_groups = new HuginBase::StandardImageVariableGroups(pano);
for(UIntSet::const_iterator it = imgs.begin(); it != imgs.end(); it++)
{
unsigned int stack_nr=variable_groups->getStacks().getPartNumber(*it);
//check, if this stack is already in list
bool found=false;
unsigned int index=0;
for(index=0;index<stack_images.size();index++)
{
found=(stack_images[index].layer_nr==stack_nr);
if(found)
break;
};
if(!found)
{
//new stack
stack_images.resize(stack_images.size()+1);
index=stack_images.size()-1;
//add new stack
stack_images[index].layer_nr=stack_nr;
};
//add new image
unsigned int new_image_index=stack_images[index].images.size();
stack_images[index].images.resize(new_image_index+1);
stack_images[index].images[new_image_index].img_nr=*it;
stack_images[index].images[new_image_index].ev=pano.getImage(*it).getExposure();
};
delete variable_groups;
//get image with median exposure for search with cp generator
UIntSet images_layer;
for(unsigned int i=0;i<stack_images.size();i++)
{
std::sort(stack_images[i].images.begin(),stack_images[i].images.end(),sort_img_ev);
unsigned int index=0;
if(stack_images[i].images[0].ev!=stack_images[i].images[stack_images[i].images.size()-1].ev)
{
index=stack_images[i].images.size() / 2;
};
images_layer.insert(stack_images[i].images[index].img_nr);
};
//generate cp for median exposure
ret_value=0;
if(images_layer.size()>1)
{
AutoPanoSift matcher;
cps=matcher.automatch(setting, pano, images_layer, nFeatures, ret_value, parent);
if(ret_value!=0)
return cps;
};
//now work on all stacks
if(!setting.GetProgStack().IsEmpty())
{
CPDetectorSetting stack_setting;
stack_setting.SetType(CPDetector_AutoPanoSift);
stack_setting.SetProg(setting.GetProgStack());
stack_setting.SetArgs(setting.GetArgsStack());
for(unsigned int i=0;i<stack_images.size();i++)
{
UIntSet images_stack;
images_stack.clear();
for(unsigned int j=0;j<stack_images[i].images.size();j++)
images_stack.insert(stack_images[i].images[j].img_nr);
if(images_stack.size()>1)
{
AutoPanoSift matcher;
CPVector new_cps=matcher.automatch(stack_setting, pano, images_stack, nFeatures, ret_value, parent);
if(new_cps.size()>0)
AddControlPointsWithCheck(cps,new_cps);
if(ret_value!=0)
return cps;
};
};
}
return cps;
};
