コード例 #1
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;
}
コード例 #2
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;
}
コード例 #3
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
    );