FDiff2D CalculateFOV::calcFOV(const PanoramaData& panorama)
{
if (panorama.getNrOfImages() == 0) {
// no change
return FDiff2D(panorama.getOptions().getHFOV(), panorama.getOptions().getVFOV());
}
vigra::Size2D panoSize(360*2,180*2);
// remap into minature pano.
PanoramaOptions opts;
opts.setHFOV(360);
opts.setProjection(PanoramaOptions::EQUIRECTANGULAR);
opts.setWidth(panoSize.x);
opts.setHeight(panoSize.y);
// remap image
// DGSW - make sure the type is correct
vigra::BImage panoAlpha(panoSize.x, panoSize.y,static_cast< unsigned char >(0));
// vigra::BImage panoAlpha(panoSize.x, panoSize.y,0);
Nona::RemappedPanoImage<vigra::BImage, vigra::BImage> remapped;
UIntSet activeImgs = panorama.getActiveImages();
for (UIntSet::iterator it = activeImgs.begin(); it != activeImgs.end(); ++it) {
// for (unsigned int imgNr=0; imgNr < getNrOfImages(); imgNr++) {
// DGSW FIXME - Unreferenced
// const PanoImage & img = getImage(*it);
remapped.setPanoImage(panorama.getSrcImage(*it), opts, vigra::Rect2D(0,0,panoSize.x,panoSize.y));
//remapped.setPanoImage(*this, *it, vigra::Size2D(img.getWidth(), img.getHeight()), opts);
// calculate alpha channel
remapped.calcAlpha();
// copy into global alpha channel.
vigra::copyImageIf(vigra_ext::applyRect(remapped.boundingBox(),
vigra_ext::srcMaskRange(remapped)),
vigra_ext::applyRect(remapped.boundingBox(),
vigra_ext::srcMask(remapped)),
vigra_ext::applyRect(remapped.boundingBox(),
destImage(panoAlpha)));
// vigra::ImageExportInfo imge2("c:/hugin_calcfov_alpha.png");
// exportImage(vigra::srcImageRange(panoAlpha), imge2);
}
// get field of view
FDiff2D ul,lr;
bool found = false;
ul.x = DBL_MAX;
ul.y = DBL_MAX;
lr.x = -DBL_MAX;
lr.y = -DBL_MAX;
for (int v=0; v< panoSize.y; v++) {
for (int h=0; h < panoSize.x; h++) {
if (panoAlpha(h,v)) {
// pixel is valid
if ( ul.x > h ) {
found=true;
ul.x = h;
}
if ( ul.y > v ) {
found=true;
ul.y = v;
}
if ( lr.x < h) {
found=true;
lr.x = h;
}
if ( lr.y < v) {
found=true;
lr.y = v;
}
}
}
}
if (!found) {
// if nothing found, return current fov
return FDiff2D(panorama.getOptions().getHFOV(), panorama.getOptions().getVFOV());
}
ul=ul/2.0;
lr=lr/2.0;
ul.x = ul.x - 180;
ul.y = ul.y - 90;
lr.x = lr.x - 180;
lr.y = lr.y - 90;
FDiff2D fov (2*std::max(fabs(ul.x), fabs(lr.x)), 2*std::max(fabs(ul.y), fabs(lr.y)));
if(fov.x<40)
{
fov.x+=1;
};
return fov;
}
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;
}
void CenterHorizontally::centerHorizontically(PanoramaData& panorama)
{
vigra::Size2D panoSize(360,180);
// remap into minature pano.
PanoramaOptions opts;
opts.setHFOV(360);
opts.setProjection(PanoramaOptions::EQUIRECTANGULAR);
opts.setWidth(360);
opts.setHeight(180);
// remap image
vigra::BImage panoAlpha(panoSize);
Nona::RemappedPanoImage<vigra::BImage, vigra::BImage> remapped;
// use selected images.
const UIntSet allActiveImgs(panorama.getActiveImages());
if (allActiveImgs.empty())
{
// do nothing if there are no images
return;
}
//only check unlinked images
UIntSet activeImgs;
for (UIntSet::const_iterator it = allActiveImgs.begin(); it!= allActiveImgs.end(); ++it)
{
const SrcPanoImage & img=panorama.getImage(*it);
bool consider=true;
if(img.YawisLinked())
{
for(UIntSet::const_iterator it2=activeImgs.begin(); it2!=activeImgs.end(); ++it2)
{
if(img.YawisLinkedWith(panorama.getSrcImage(*it2)))
{
consider=false;
break;
};
};
};
if(consider)
activeImgs.insert(*it);
};
for (UIntSet::iterator it = activeImgs.begin(); it != activeImgs.end(); ++it)
{
remapped.setPanoImage(panorama.getSrcImage(*it), opts, vigra::Rect2D(0,0,360,180));
// calculate alpha channel
remapped.calcAlpha();
// copy into global alpha channel.
vigra::copyImageIf(vigra_ext::applyRect(remapped.boundingBox(),
vigra_ext::srcMaskRange(remapped)),
vigra_ext::applyRect(remapped.boundingBox(),
vigra_ext::srcMask(remapped)),
vigra_ext::applyRect(remapped.boundingBox(),
destImage(panoAlpha)));
}
// get field of view
std::vector<int> borders;
bool colOccupied = false;
for (int h=0; h < 360; h++) {
bool curColOccupied = false;
for (int v=0; v< 180; v++) {
if (panoAlpha(h,v)) {
// pixel is valid
curColOccupied = true;
}
}
if ((colOccupied && !curColOccupied) ||
(!colOccupied && curColOccupied))
{
// change in position, save point.
borders.push_back(h-180);
colOccupied = curColOccupied;
}
}
int lastidx = borders.size() -1;
if (lastidx == -1) {
// empty pano
return;
}
if (colOccupied) {
// we have reached the right border, and the pano is still valid
// shift right fragments by 360 deg
// |11 2222| -> | 222211 |
std::vector<int> newBorders;
newBorders.push_back(borders[lastidx]);
for (int i = 0; i < lastidx; i++) {
newBorders.push_back(borders[i]+360);
}
borders = newBorders;
}
const double dYaw=(borders[0] + borders[lastidx])/2;
// apply yaw shift, takes also translation parameters into account
RotatePanorama(panorama, -dYaw, 0, 0).run();
}