コード例 #1
0
ファイル: Bam.c プロジェクト: dwhobrey/NeuralNetLanguage
void dsp_stats(NSLNSLnet *net)
{ int rr,qq,pp,nn,num,parts,flds,outnum=0,probnum=0;
  hop_ctrl_ds *hp=nsl_drv(hop_ctrl_ds); bio_ds *np=(&hp->nio);
  float val,hamap,hamai,phamap,phamai,ham,prob;
  flds=np->fld_siz; num=dsi(np->flda,hop_tree_ds,size.part);
  parts=flds/num; ++stats;
  for(rr=0;rr<num_pats;++rr)
    {hamap=(float)0.0; hamai=(float)0.0; phamap=(float)0.0; phamai=(float)0.0;
     for(pp=0;pp<parts;++pp)
      {for(qq=0;qq<num;++qq)
         {nn=pp*num+qq;
          val=(float)((quant)qua(np->flda+pp,hop_tree_ds,part[qq].output))
            /((float)QSCALE);
          hamap+=diff((float)patsa[rr][nn],val);  val=(float)1.0-val;
          hamai+=diff((float)patsa[rr][nn],val);
          val=(float)((quant)qua(np->fldb+pp,hop_tree_ds,part[qq].output))
            /((float)QSCALE);
          hamap+=diff((float)patsb[rr][nn],val);  val=(float)1.0-val;
          hamai+=diff((float)patsb[rr][nn],val);
          val=dsf(np->ctrl,hop_ctrl_ds,output[nn]);
          phamap+=diff((float)patsa[rr][nn],val);  val=(float)1.0-val;
          phamai+=diff((float)patsa[rr][nn],val);
          val=dsf(np->ctrl,hop_ctrl_ds,output[nn+flds]);
          phamap+=diff((float)patsb[rr][nn],val);  val=(float)1.0-val;
          phamai+=diff((float)patsb[rr][nn],val);
         }
      }
    if(rr==0) {ham=hamap; prob=phamap;}
    if(hamap<ham) {outnum=2*rr; ham=hamap;}
    if(hamai<ham) {outnum=2*rr+1; ham=hamai;}
    if(phamap<prob) {probnum=2*rr; prob=phamap;}
    if(phamai<prob) {probnum=2*rr+1; prob=phamai;}
    }
  fprintf(bam_logfp,"%d,%d,%.3f,%.3f,%d,%d,",
     stats,curcc,ham,prob,outnum,probnum);
  dsp_table();
  clr_table();
}
コード例 #2
0
  void FluctuatingChargePropagator::initialize() {
    if (info_->usesFluctuatingCharges()) {
      if (info_->getNFluctuatingCharges() > 0) {
        hasFlucQ_ = true;
	fqConstraints_ = new FluctuatingChargeConstraints(info_);
	fqConstraints_->setConstrainRegions(fqParams_->getConstrainRegions());
      }
    }
    
    if (!hasFlucQ_) {
      initialized_ = true;
      return;
    }

    // SimInfo::MoleculeIterator i;
    // Molecule::FluctuatingChargeIterator  j;
    // Molecule* mol;
    // Atom* atom;
    //  
    // For single-minima flucq, this ensures a net neutral system, but
    // for multiple minima, this is no longer the right thing to do:
    //
    // for (mol = info_->beginMolecule(i); mol != NULL; 
    //      mol = info_->nextMolecule(i)) {
    //   for (atom = mol->beginFluctuatingCharge(j); atom != NULL;
    //        atom = mol->nextFluctuatingCharge(j)) {
    //     atom->setFlucQPos(0.0);
    //     atom->setFlucQVel(0.0);
    //   }
    // }
    
    FluctuatingChargeObjectiveFunction flucQobjf(info_, forceMan_, 
                                                 fqConstraints_);

    DynamicVector<RealType> initCoords = flucQobjf.setInitialCoords();
    Problem problem(flucQobjf, *(new NoConstraint()), *(new NoStatus()), 
                    initCoords);

    EndCriteria endCriteria(1000, 100, 1e-5, 1e-5, 1e-5);       

    OptimizationMethod* minim = OptimizationFactory::getInstance()->createOptimization("SD", info_);

    DumpStatusFunction dsf(info_);  // we want a dump file written
                                    // every iteration
    minim->minimize(problem, endCriteria);
    cerr << "back from minim\n";
    initialized_ = true;
  }
コード例 #3
0
ファイル: vmdatasource.cpp プロジェクト: 01org/vmf
void initialize()
{
    shared_ptr<IDataSourceFactory> dsf(static_cast<IDataSourceFactory*>(new XMPDataSourceFactory()));
    Initialize(dsf);
}
void MultipleDatasetComparisonSecondExperiment::runExperiment(std::string outputDir)
{
	// Set up the image filters
	DownsampleFilter dsf(64, 64);	// Dataset images are in a 1:1 ratio.
	GreyscaleFilter gf;
	std::list<ImageFilterInterface*> filters;
	filters.push_back(&dsf);
	filters.push_back(&gf);

	// Load the reference dataset
	std::unique_ptr<CachedDataset> referenceDataset = loadDataset(
		MultipleDatasetComparisonSecondExperiment::TIME_OF_DAY_NOON,
		MultipleDatasetComparisonSecondExperiment::PASS_BASELINE,
		filters);
	std::cout << "Loaded reference dataset... (" << referenceDataset->count() << " images)" << std::endl;

	// Set up the place recognition object, salience mask generator, and output image
	PlaceRecognition placerecog;
	SumOfAbsoluteDifferencesMatcher sadMatcher;
	cv::Mat diagonalMatrix;
	float performance;

	// Create a RapidJson document to write the results into.
	rapidjson::Document results(rapidjson::kObjectType);

	// Set some standard criteria for considering two images to have a 'similar' location
	SimilarityCriteria similarityCriteria(300.0);

	// For each test time of day, for each pass through, measure the performance
	// This will match the reference set against itself
	for (int timeOfDay = MultipleDatasetComparisonSecondExperiment::TIME_OF_DAY_DAWN;
	timeOfDay <= MultipleDatasetComparisonSecondExperiment::TIME_OF_DAY_SUNSET; ++timeOfDay)
	{
		std::string timeOfDayString = getTimeOfDayString(timeOfDay);
		rapidjson::Value nestedResults(rapidjson::kObjectType);

		for (int pass = MultipleDatasetComparisonSecondExperiment::PASS_FIRST;
		pass <= MultipleDatasetComparisonSecondExperiment::PASS_LAST; ++pass)
		{
			std::string passString = getPassString(pass);
			std::unique_ptr<CachedDataset> queryDataset = loadDataset(timeOfDay, pass, filters);
			std::cout << "Loaded test dataset \"" << timeOfDayString << "\" subset \"" << passString << "\" (" << queryDataset->count() << " images)" << std::endl;

			performance = placerecog.generateDiagonalMatrix(*referenceDataset, *queryDataset, sadMatcher, similarityCriteria, diagonalMatrix);
			writeFloatImage(outputDir + "\\diagonal matrix " + timeOfDayString + " " + passString + ".png", diagonalMatrix);
			std::cout << "Matching accuracy for " << timeOfDayString << " " << passString << ": " << (performance * 100) << "%" << std::endl;

			nestedResults.AddMember(
				rapidjson::Value(passString.c_str(), results.GetAllocator()).Move(),
				performance,
				results.GetAllocator());
		}

		results.AddMember(
			rapidjson::Value(timeOfDayString.c_str(), results.GetAllocator()).Move(),
			nestedResults,
			results.GetAllocator());
	}

	// Serialze the json output.
	rapidjson::StringBuffer jsonBuffer;
	rapidjson::PrettyWriter<rapidjson::StringBuffer> jsonWriter(jsonBuffer);
	results.Accept(jsonWriter);

	// Write the json file to a string
	std::ofstream output(outputDir + "\\multiple comparison results.txt");
	output << jsonBuffer.GetString();
	output.close();
}
コード例 #5
0
ファイル: kiv_tests.cpp プロジェクト: nikola-kocic/KIV
int main(int argc, char **argv)
{
    QApplication app(argc, argv);


    int err = 0;
    {
        TestSettingsBookmarks testSettingsBookmarks;
        err = qMax(err, QTest::qExec(&testSettingsBookmarks, app.arguments()));
    }
    {
        TestPictureItemData testPictureItemData;
        err = qMax(err, QTest::qExec(&testPictureItemData, app.arguments()));
    }
    {
        TestPictureItemRaster testPictureItemRaster;
        err = qMax(err, QTest::qExec(&testPictureItemRaster, app.arguments()));
    }
    {
        TestZoomWidget testZoomWidget;
        err = qMax(err, QTest::qExec(&testZoomWidget, app.arguments()));
    }
    {
        TestZoomWidgetNoDefaults testZoomWidget;
        err = qMax(err, QTest::qExec(&testZoomWidget, app.arguments()));
    }

    const QString base_dir(
                QDir::cleanPath(QCoreApplication::applicationDirPath() +
                                QDir::separator() + "assets" +
                                QDir::separator() + "images"));
    DirStructureFixture dsf(
                DirStructureFixturePathsUnicodeOutsideBMP::getPath
                , DirStructureFixturePathsUnicodeOutsideBMP::getDirName
                , DirStructureFixtureDateTimes::getDateTime
                , DirStructureFixtureSize::getSize
                , base_dir
                );
//    InitTestData itd;
//    InitTestArchives ita = itd.makeTestData(dsf);
//    ita.createZip();
    const ArchiveExtractor archive_extractor;
    {
        TestArchiveFileListRar5 testArchiveFileListRar5(&archive_extractor, dsf, base_dir);
        err = qMax(err, QTest::qExec(&testArchiveFileListRar5, app.arguments()));
    }
    DirStructureFixture dsfZip(
                DirStructureFixturePathsUnicodeOutsideBMP::getPath
                , DirStructureFixturePathsUnicodeOutsideBMP::getDirName
                , DirStructureFixtureDateTimesLocal::getDateTime
                , DirStructureFixtureSize::getSize
                , base_dir
                );
    {
        TestArchiveFileListZip testArchiveFileListZip(&archive_extractor, dsfZip, base_dir);
        err = qMax(err, QTest::qExec(&testArchiveFileListZip, app.arguments()));
    }
    {
        TestArchiveFilesZip testArchiveFiles(&archive_extractor, dsfZip);
        err = qMax(err, QTest::qExec(&testArchiveFiles, app.arguments()));
    }
    DirStructureFixture dsfRar4(
                DirStructureFixturePathsUnicodeInsideBMP::getPath
                , DirStructureFixturePathsUnicodeInsideBMP::getDirName
                , DirStructureFixtureDateTimesLocal::getDateTime
                , DirStructureFixtureSizeUnicodeInsideBMP::getSize
                , base_dir
                );
//    ita = itd.makeTestData(dsfRar4);
//    ita.createRar4();
    {
        // TODO: Check rar4 file times behaviour
        TestArchiveFileListRar4 testArchiveFileListRar4(&archive_extractor, dsfRar4, base_dir);
        err = qMax(err, QTest::qExec(&testArchiveFileListRar4, app.arguments()));
    }
    {
        TestArchiveFilesRar4 testArchiveFilesRar4(&archive_extractor, dsfRar4);
        err = qMax(err, QTest::qExec(&testArchiveFilesRar4, app.arguments()));
    }
    return err;
}
コード例 #6
0
ファイル: Ocos.c プロジェクト: dwhobrey/NeuralNetLanguage
int ocos_probe(NSLNSLnet *net,va_list args)
{ nio_ds *np=nsl_drv(nio_ds); np->xx=0;
  dsf(np->d0,data_ds,output)=rndf(); dsf(np->d0+1,data_ds,output)=rndf();
  return(0);
}