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 = "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: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
);
