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;
}
SmallRemappedImageCache::MRemappedImage *
SmallRemappedImageCache::getRemapped(const PanoramaData& pano,
const PanoramaOptions & popts,
unsigned int imgNr,
vigra::Rect2D outputROI,
AppBase::MultiProgressDisplay& progress)
{
// always map to HDR mode. curve and exposure is applied in preview window, for speed
PanoramaOptions opts = popts;
opts.outputMode = PanoramaOptions::OUTPUT_HDR;
opts.outputExposureValue = 0.0;
// return old image, if already in cache and if it has changed since the last rendering
if (set_contains(m_images, imgNr)) {
// return cached image if the parameters of the image have not changed
SrcPanoImage oldParam = m_imagesParam[imgNr];
if (oldParam == pano.getSrcImage(imgNr)
&& m_panoOpts[imgNr].getHFOV() == opts.getHFOV()
&& m_panoOpts[imgNr].getWidth() == opts.getWidth()
&& m_panoOpts[imgNr].getHeight() == opts.getHeight()
&& m_panoOpts[imgNr].getProjection() == opts.getProjection()
&& m_panoOpts[imgNr].getProjectionParameters() == opts.getProjectionParameters()
)
{
DEBUG_DEBUG("using cached remapped image " << imgNr);
return m_images[imgNr];
}
}
ImageCache::getInstance().softFlush();
typedef BasicImageView<RGBValue<unsigned char> > BRGBImageView;
// typedef NumericTraits<PixelType>::RealPromote RPixelType;
// remap image
DEBUG_DEBUG("remapping image " << imgNr);
// load image
const SrcPanoImage & img = pano.getImage(imgNr);
ImageCache::EntryPtr e = ImageCache::getInstance().getSmallImage(img.getFilename().c_str());
if ( (e->image8->width() == 0) && (e->image16->width() == 0) && (e->imageFloat->width() == 0) ) {
throw std::runtime_error("could not retrieve small source image for preview generation");
}
Size2D srcImgSize;
if (e->image8->width() > 0)
srcImgSize = e->image8->size();
else if (e->image16->width() > 0)
srcImgSize = e->image16->size();
else
srcImgSize = e->imageFloat->size();
MRemappedImage *remapped = new MRemappedImage;
SrcPanoImage srcPanoImg = pano.getSrcImage(imgNr);
// adjust distortion parameters for small preview image
srcPanoImg.resize(srcImgSize);
FImage srcFlat;
// use complete image, by supplying an empty mask image
BImage srcMask;
if (img.getVigCorrMode() & SrcPanoImage::VIGCORR_FLATFIELD) {
ImageCache::EntryPtr e = ImageCache::getInstance().getSmallImage(img.getFlatfieldFilename().c_str());
if (!e) {
throw std::runtime_error("could not retrieve flatfield image for preview generation");
}
if (e->image8->width()) {
srcFlat.resize(e->image8->size());
copyImage(srcImageRange(*(e->image8),
RGBToGrayAccessor<RGBValue<UInt8> >()),
destImage(srcFlat));
} else if (e->image16->width()) {
srcFlat.resize(e->image16->size());
copyImage(srcImageRange(*(e->image16),
RGBToGrayAccessor<RGBValue<vigra::UInt16> >()),
destImage(srcFlat));
} else {
srcFlat.resize(e->imageFloat->size());
copyImage(srcImageRange(*(e->imageFloat),
RGBToGrayAccessor<RGBValue<float> >()),
destImage(srcFlat));
}
}
progress.pushTask(AppBase::ProgressTask("remapping", "", 0));
// compute the bounding output rectangle here!
vigra::Rect2D outROI = estimateOutputROI(pano, opts, imgNr);
DEBUG_DEBUG("srcPanoImg size: " << srcPanoImg.getSize() << " pano roi:" << outROI);
if (e->imageFloat->width()) {
// remap image
remapImage(*(e->imageFloat),
srcMask,
srcFlat,
srcPanoImg,
opts,
outROI,
*remapped,
progress);
} else if (e->image16->width()) {
// remap image
remapImage(*(e->image16),
srcMask,
srcFlat,
srcPanoImg,
opts,
outROI,
*remapped,
progress);
} else {
remapImage(*(e->image8),
srcMask,
srcFlat,
srcPanoImg,
opts,
outROI,
*remapped,
progress);
}
progress.popTask();
m_images[imgNr] = remapped;
m_imagesParam[imgNr] = pano.getSrcImage(imgNr);
m_panoOpts[imgNr] = opts;
return remapped;
}