mirror of
https://github.com/dgirardeau/q3DMASC.git
synced 2026-08-30 00:50:49 +08:00
719 lines
19 KiB
C++
719 lines
19 KiB
C++
//##########################################################################
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//# #
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//# CLOUDCOMPARE PLUGIN: q3DMASC #
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//# #
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//# This program is free software; you can redistribute it and/or modify #
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//# it under the terms of the GNU General Public License as published by #
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//# the Free Software Foundation; version 2 or later of the License. #
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//# #
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//# This program is distributed in the hope that it will be useful, #
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//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
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//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
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//# GNU General Public License for more details. #
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//# #
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//# COPYRIGHT: Dimitri Lague / CNRS / UEB #
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//# #
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//##########################################################################
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#include "q3DMASCTools.h"
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//Local
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#include "PointFeature.h"
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#include "NeighborhoodFeature.h"
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#include "DualCloudFeature.h"
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#include "ContextBasedFeature.h"
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//qCC_io
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#include <FileIOFilter.h>
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#include <LASFields.h>
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//qCC_db
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#include <ccScalarField.h>
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#include <ccPointCloud.h>
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//Qt
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#include <QTextStream>
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#include <QFile>
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#include <QFileInfo>
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#include <QDir>
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//system
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#include <assert.h>
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using namespace masc;
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bool Tools::SaveFeatureDescriptors(QString filename, const Feature::Set& features)
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{
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QFile file(filename);
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if (!file.open(QFile::Text | QFile::WriteOnly))
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{
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ccLog::Warning(QString("Can't open file '%1' for writing").arg(filename));
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return false;
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}
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QTextStream stream(&file);
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//header
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stream << "#3DMASC classifier" << endl;
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return true;
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}
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bool Tools::LoadFile( QString filename,
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Feature::Set& rawFeatures,
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std::vector<ccPointCloud*>& loadedClouds,
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CorePoints& corePoints)
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{
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QFileInfo fi(filename);
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if (!fi.exists())
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{
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ccLog::Warning(QString("Can't find file '%1'").arg(filename));
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return false;
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}
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QFile file(filename);
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if (!file.open(QFile::Text | QFile::ReadOnly))
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{
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ccLog::Warning(QString("Can't open file '%1'").arg(filename));
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return false;
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}
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try
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{
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assert(rawFeatures.empty());
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std::vector<double> scales;
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QMap<QString, ccPointCloud* > clouds;
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QTextStream stream(&file);
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for (int lineNumber = 0; ; ++lineNumber)
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{
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QString line = stream.readLine();
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if (line.isNull())
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{
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//eof
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break;
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}
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++lineNumber;
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if (line.startsWith("#"))
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{
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//comment
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continue;
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}
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//strip out the potential comment at the end of the line as well
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int commentIndex = line.indexOf('#');
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if (commentIndex >= 0)
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line = line.left(commentIndex);
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QString upperLine = line.toUpper();
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if (upperLine.startsWith("CLOUD:")) //clouds
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{
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QString command = line.mid(6);
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QStringList tokens = command.split('=');
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if (tokens.size() != 2)
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{
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ccLog::Warning("Malformed file: expecting 2 tokens after 'cloud:' on line #" + QString::number(lineNumber));
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return false;
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}
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QString pcName = tokens[0].trimmed();
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QString pcFilename = fi.absoluteDir().absoluteFilePath(tokens[1].trimmed());
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//try to open the cloud
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{
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FileIOFilter::LoadParameters parameters;
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parameters.alwaysDisplayLoadDialog = false;
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CC_FILE_ERROR error = CC_FERR_NO_ERROR;
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ccHObject* object = FileIOFilter::LoadFromFile(pcFilename, parameters, error);
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if (error != CC_FERR_NO_ERROR || !object)
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{
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//error message already issued
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if (object)
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delete object;
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return false;
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}
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ccHObject::Container cloudsInFile;
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object->filterChildren(cloudsInFile, false, CC_TYPES::POINT_CLOUD, true);
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if (cloudsInFile.empty())
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{
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ccLog::Warning("File doesn't contain a single cloud");
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delete object;
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return false;
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}
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else if (cloudsInFile.size() > 1)
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{
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ccLog::Warning("File contains more than one cloud, only the first one will be kept");
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}
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ccPointCloud* pc = static_cast<ccPointCloud*>(cloudsInFile.front());
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for (size_t i = 1; i < cloudsInFile.size(); ++i)
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{
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delete cloudsInFile[i];
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}
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if (pc->getParent())
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pc->getParent()->detachChild(pc);
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pc->setName(pcName); //DGM: warning, may not be acceptable in the GUI version?
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clouds.insert(pcName, pc);
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loadedClouds.push_back(pc);
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}
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}
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else if (upperLine.startsWith("CORE_POINTS:")) //core points
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{
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if (corePoints.origin)
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{
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ccLog::Warning("Malformed file: can't declare core points twice! (line #" + QString::number(lineNumber) + ")");
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return false;
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}
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QString command = line.mid(12);
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QStringList tokens = command.split('_');
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if (tokens.empty())
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{
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ccLog::Warning("Malformed file: expecting tokens after 'core_points:' on line #" + QString::number(lineNumber));
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return false;
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}
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QString pcName = tokens[0].trimmed();
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if (!clouds.contains(pcName))
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{
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ccLog::Warning(QString("Malformed file: unknown cloud '%1' on line #%2 (make sure it is declared before the core points)").arg(pcName).arg(lineNumber));
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return false;
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}
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corePoints.origin = clouds[pcName];
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//should we sub-sample the origin cloud?
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if (tokens.size() > 1)
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{
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if (tokens[1].toUpper() == "SS")
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{
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if (tokens.size() < 3)
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{
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ccLog::Warning("Malformed file: missing token after 'SS' on line #" + QString::number(lineNumber));
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return false;
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}
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QString options = tokens[2];
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if (options.startsWith('R'))
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{
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corePoints.selectionMethod = CorePoints::RANDOM;
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}
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else if (options.startsWith('S'))
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{
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corePoints.selectionMethod = CorePoints::SPATIAL;
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}
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else
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{
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ccLog::Warning("Malformed file: unknown option after 'SS' on line #" + QString::number(lineNumber));
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return false;
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}
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//read the subsampling parameter (ignore the first character)
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bool ok = false;
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corePoints.selectionParam = options.mid(1).toDouble(&ok);
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if (!ok)
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{
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ccLog::Warning("Malformed file: expecting a number after 'SS_X' on line #" + QString::number(lineNumber));
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return false;
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}
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} //end of subsampling options
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}
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}
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else if (upperLine.startsWith("SCALES:")) //scales
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{
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if (!scales.empty())
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{
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ccLog::Warning("Malformed file: scales defined twice (line #" + QString::number(lineNumber) + ")");
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return false;
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}
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QString command = line.mid(7);
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QStringList tokens = command.split(';');
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if (tokens.empty())
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{
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ccLog::Warning("Malformed file: expecting at least one token after 'scales:' on line #" + QString::number(lineNumber));
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return false;
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}
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for (const QString& token : tokens)
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{
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if (token.contains(':'))
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{
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//it's probably a range
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QStringList subTokens = token.trimmed().split(':');
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if (subTokens.size() != 3)
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{
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ccLog::Warning(QString("Malformed file: expecting 3 tokens for a range of scales (%1)").arg(token));
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return false;
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}
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bool ok[3] = { true, true, true };
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double start = subTokens[0].trimmed().toDouble(ok);
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double step = subTokens[1].toDouble(ok + 1);
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double stop = subTokens[2].toDouble(ok + 2);
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if (!ok[0] || !ok[1] || !ok[2])
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{
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ccLog::Warning(QString("Malformed file: invalid values in scales range (%1) on line #%2").arg(token).arg(lineNumber));
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return false;
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}
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if (stop < start || step <= 1.0 - 6)
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{
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ccLog::Warning(QString("Malformed file: invalid range (%1) on line #%2").arg(token).arg(lineNumber));
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return false;
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}
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for (double v = start; v <= stop + 1.0e-6; v += step)
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{
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scales.push_back(v);
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}
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}
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else
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{
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bool ok = true;
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double v = token.trimmed().toDouble(&ok);
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if (!ok)
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{
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ccLog::Warning(QString("Malformed file: invalid scale value (%1) on line #%2").arg(token).arg(lineNumber));
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return false;
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}
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scales.push_back(v);
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}
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}
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scales.shrink_to_fit();
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}
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else if (upperLine.startsWith("FEATURE:")) //feature
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{
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QString command = line.mid(8);
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QStringList tokens = command.split('_');
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if (tokens.empty())
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{
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ccLog::Warning("Malformed file: expecting at least one token after 'feature:' on line #" + QString::number(lineNumber));
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return false;
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}
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Feature::Shared feature;
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//read the type
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QString typeStr = tokens[0].trimmed().toUpper();
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{
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for (int iteration = 0; iteration < 1; ++iteration) //fake loop for easy break
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{
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PointFeature::PointFeatureType pointFeatureType = PointFeature::FromUpperString(typeStr);
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if (pointFeatureType != PointFeature::Invalid)
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{
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//we have a point feature
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PointFeature* pointFeature = new PointFeature(pointFeatureType);
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//specific case: 'SF#'
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if (pointFeatureType == PointFeature::SF)
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{
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QString sfIndexStr = typeStr.mid(2);
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bool ok = true;
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int sfIndex = sfIndexStr.toInt(&ok);
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if (!ok)
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{
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ccLog::Warning(QString("Malformed file: expecting a valid integer value after 'SF' on line #%1").arg(lineNumber));
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delete pointFeature;
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return false;
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}
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pointFeature->sourceSFIndex = sfIndex;
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}
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feature.reset(pointFeature);
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break;
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}
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NeighborhoodFeature::NeighborhoodFeatureType neighborhoodFeatureType = NeighborhoodFeature::FromUpperString(typeStr);
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if (neighborhoodFeatureType != NeighborhoodFeature::Invalid)
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{
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//we have a neighborhood feature
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feature = NeighborhoodFeature::Shared(new NeighborhoodFeature(neighborhoodFeatureType));
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break;
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}
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ContextBasedFeature::ContextBasedFeatureType contextBasedFeatureType = ContextBasedFeature::FromUpperString(typeStr);
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if (contextBasedFeatureType != ContextBasedFeature::Invalid)
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{
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//we have a context-based feature
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feature = ContextBasedFeature::Shared(new ContextBasedFeature(contextBasedFeatureType));
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break;
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}
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DualCloudFeature::DualCloudFeatureType dualCloudFeatureType = DualCloudFeature::FromUpperString(typeStr);
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if (dualCloudFeatureType != DualCloudFeature::Invalid)
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{
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//we have a dual cloud feature
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feature = DualCloudFeature::Shared(new DualCloudFeature(dualCloudFeatureType));
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break;
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}
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if (!feature)
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{
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ccLog::Warning(QString("Malformed file: unrecognized token '%1' after 'feature:' on line #%2").arg(typeStr).arg(lineNumber));
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return false;
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}
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}
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}
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assert(feature);
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//read the scales
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bool useAllScales = false;
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{
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QString scaleStr = tokens[1].toUpper();
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if (!scaleStr.startsWith("SC"))
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{
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ccLog::Warning(QString("Malformed file: unrecognized token '%1' (expecting the scale descriptor 'SC...' on line #%2").arg(typeStr).arg(lineNumber));
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return false;
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}
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if (scaleStr == "SC0")
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{
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//no scale
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}
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else if (scaleStr == "SCX")
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{
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//all scales
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useAllScales = true;
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}
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else
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{
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//read the specific scale index
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bool ok = true;
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feature->scale = scaleStr.mid(2).toDouble(&ok);
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if (!ok)
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{
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ccLog::Warning(QString("Malformed file: expecting a valid number after 'SC:' on line #%1").arg(lineNumber));
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return false;
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}
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}
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}
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//process the next tokens (may not be ordered)
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int cloudCount = 0;
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bool statDefined = false;
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bool mathDefined = false;
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for (int i = 2; i < tokens.size(); ++i)
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{
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QString token = tokens[i].trimmed().toUpper();
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//is the token a 'stat' one?
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if (!statDefined)
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{
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if (token == "MEAN")
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{
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feature->stat = Feature::MEAN;
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statDefined = true;
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}
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else if (token == "MODE")
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{
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feature->stat = Feature::MODE;
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statDefined = true;
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}
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else if (token == "STD")
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{
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feature->stat = Feature::STD;
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statDefined = true;
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}
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else if (token == "RANGE")
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{
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feature->stat = Feature::RANGE;
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statDefined = true;
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}
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else if (token == "SKEW")
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{
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feature->stat = Feature::SKEW;
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statDefined = true;
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}
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if (statDefined)
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{
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continue;
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}
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}
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//is the token a cloud name?
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if (cloudCount < 2)
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{
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bool cloudNameMatches = false;
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for (QMap<QString, ccPointCloud* >::const_iterator it = clouds.begin(); it != clouds.end(); ++it)
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{
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QString key = it.key().toUpper();
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if (key == token)
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{
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if (cloudCount == 0)
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{
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feature->cloud1 = it.value();
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feature->cloud1Label = key;
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}
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else if (cloudCount == 1)
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{
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feature->cloud2 = it.value();
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feature->cloud2Label = key;
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}
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else
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{
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//we can't fall here
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assert(false);
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}
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++cloudCount;
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cloudNameMatches = true;
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break;
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}
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}
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if (cloudNameMatches)
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{
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continue;
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}
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}
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//is the token a 'math' one?
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if (!mathDefined)
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{
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if (token == "MINUS")
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{
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feature->op = Feature::MINUS;
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mathDefined = true;
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}
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else if (token == "PLUS")
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{
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feature->op = Feature::PLUS;
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mathDefined = true;
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}
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else if (token == "DIVIDE")
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{
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feature->op = Feature::DIVIDE;
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mathDefined = true;
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}
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else if (token == "MULTIPLY")
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{
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feature->op = Feature::MULTIPLY;
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mathDefined = true;
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}
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if (mathDefined)
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{
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continue;
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}
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}
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//is the token a 'context' descriptor?
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if (feature->getType() == Feature::Type::ContextBasedFeature && token.startsWith("CTX"))
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{
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//read the context label
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QString ctxLabelStr = token.mid(2);
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bool ok = true;
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int ctxLabel = ctxLabelStr.toInt(&ok);
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if (!ok)
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{
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ccLog::Warning(QString("Malformed file: expecting a valid integer value after 'CTX' on line #%1").arg(lineNumber));
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return false;
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}
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static_cast<ContextBasedFeature*>(feature.data())->ctxClassLabel = ctxLabel;
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continue;
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}
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//if we are here, it means we couldn't find a correspondance for the current token
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ccLog::Warning(QString("Malformed file: unrecognized or unexpected token '%1' on line #%2").arg(token).arg(lineNumber));
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return false;
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}
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//now create the various versions of rules (if any)
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if (useAllScales)
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{
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if (scales.empty())
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{
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ccLog::Warning("Malformed file: 'SCx' token used but not scales were defined" + QString(" (line %1)").arg(lineNumber));
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return false;
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}
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feature->scale = scales.front();
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//we will duplicate the original feature AFTER having checked its consistency!
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}
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//now check the consistency of the rule
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QString errorMessage;
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if (!feature->checkValidity(errorMessage))
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{
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ccLog::Warning("Malformed feature: " + errorMessage + QString(" (line %1)").arg(lineNumber));
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return false;
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}
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//save it
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rawFeatures.push_back(feature);
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if (useAllScales)
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{
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for (size_t i = 1; i < scales.size(); ++i)
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{
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//copy the original rule
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Feature::Shared newFeature = feature->clone();
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newFeature->scale = scales[i];
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//as we only change the scale value, all the duplicated features should be valid
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assert(newFeature->checkValidity(errorMessage));
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rawFeatures.push_back(newFeature);
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}
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}
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}
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else
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{
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ccLog::Warning(QString("Line #%1: unrecognized token/command: ").arg(lineNumber) + (line.length() < 10 ? line : line.left(10) + "..."));
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return false;
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}
|
|
}
|
|
}
|
|
catch (const std::bad_alloc&)
|
|
{
|
|
ccLog::Warning("Not enough memory");
|
|
return false;
|
|
}
|
|
|
|
rawFeatures.shrink_to_fit();
|
|
|
|
return true;
|
|
}
|
|
|
|
CCLib::ScalarField* Tools::RetrieveSF(const ccPointCloud* cloud, const QString& sfName, bool caseSensitive/*=true*/)
|
|
{
|
|
if (!cloud)
|
|
{
|
|
assert(false);
|
|
return nullptr;
|
|
}
|
|
int sfIdx = -1;
|
|
if (caseSensitive)
|
|
{
|
|
sfIdx = cloud->getScalarFieldIndexByName(qPrintable(sfName));
|
|
}
|
|
else
|
|
{
|
|
QString sfNameUpper = sfName.toUpper();
|
|
for (unsigned i = 0; i < cloud->getNumberOfScalarFields(); ++i)
|
|
{
|
|
if (QString(cloud->getScalarField(i)->getName()).toUpper() == sfNameUpper)
|
|
{
|
|
sfIdx = static_cast<int>(i);
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
if (sfIdx >= 0)
|
|
{
|
|
return cloud->getScalarField(sfIdx);
|
|
}
|
|
else
|
|
{
|
|
return nullptr;
|
|
}
|
|
}
|
|
|
|
bool Tools::PrepareFeatures(const CorePoints& corePoints, Feature::Set& features, QString& error, CCLib::GenericProgressCallback* progressCb/*=nullptr*/)
|
|
{
|
|
if (features.empty() || !corePoints.origin)
|
|
{
|
|
//invalid input parameters
|
|
assert(false);
|
|
return false;
|
|
}
|
|
|
|
for (const Feature::Shared& feature : features)
|
|
{
|
|
QString errorMessage("invalid pointer");
|
|
if (!feature || !feature->checkValidity(errorMessage))
|
|
{
|
|
error = "Invalid rule/feature: " + error;
|
|
return false;
|
|
}
|
|
|
|
//prepare the feature
|
|
if (!feature->prepare(corePoints, error, progressCb))
|
|
{
|
|
//something failed (error should be up to date)
|
|
return false;
|
|
}
|
|
}
|
|
|
|
return true;
|
|
}
|
|
|
|
bool Tools::RandomSubset(ccPointCloud* cloud, float ratio, CCLib::ReferenceCloud* inRatioSubset, CCLib::ReferenceCloud* outRatioSubset)
|
|
{
|
|
if (!cloud)
|
|
{
|
|
ccLog::Warning("Invalid input cloud");
|
|
return false;
|
|
}
|
|
if (!inRatioSubset || !outRatioSubset)
|
|
{
|
|
ccLog::Warning("Invalid input refence clouds");
|
|
return false;
|
|
}
|
|
if (inRatioSubset->getAssociatedCloud() != cloud || outRatioSubset->getAssociatedCloud() != cloud)
|
|
{
|
|
ccLog::Warning("Invalid input reference clouds (associated cloud is wrong)");
|
|
return false;
|
|
}
|
|
if (ratio < 0.0f || ratio > 1.0f)
|
|
{
|
|
ccLog::Warning(QString("Invalid parameter (ratio: %1)").arg(ratio));
|
|
return false;
|
|
}
|
|
|
|
unsigned inSampleCount = static_cast<unsigned>(floor(cloud->size() * ratio));
|
|
assert(inSampleCount <= cloud->size());
|
|
unsigned outSampleCount = cloud->size() - inSampleCount;
|
|
|
|
//we draw the smallest population (faster)
|
|
unsigned targetCount = inSampleCount;
|
|
bool defaultState = false;
|
|
if (outSampleCount < inSampleCount)
|
|
{
|
|
targetCount = outSampleCount;
|
|
defaultState = true;
|
|
}
|
|
|
|
//reserve memory
|
|
std::vector<bool> pointInsideRatio;
|
|
try
|
|
{
|
|
pointInsideRatio.resize(cloud->size(), defaultState);
|
|
}
|
|
catch (const std::bad_alloc&)
|
|
{
|
|
ccLog::Warning("Not enough memory");
|
|
return false;
|
|
}
|
|
|
|
if (!inRatioSubset->reserve(inSampleCount) || !outRatioSubset->reserve(outSampleCount))
|
|
{
|
|
ccLog::Warning("Not enough memory");
|
|
inRatioSubset->clear();
|
|
outRatioSubset->clear();
|
|
return false;
|
|
}
|
|
|
|
//randomly choose the 'in' or 'out' indexes
|
|
int randIndex = 0;
|
|
unsigned randomCount = 0;
|
|
while (randomCount < targetCount)
|
|
{
|
|
randIndex = ((randIndex + std::rand()) % cloud->size());
|
|
if (pointInsideRatio[randIndex] == defaultState)
|
|
{
|
|
pointInsideRatio[randIndex] = !defaultState;
|
|
++randomCount;
|
|
}
|
|
}
|
|
|
|
//now dispatch the points
|
|
{
|
|
for (unsigned i = 0; i < cloud->size(); ++i)
|
|
{
|
|
if (pointInsideRatio[i])
|
|
inRatioSubset->addPointIndex(i);
|
|
else
|
|
outRatioSubset->addPointIndex(i);
|
|
}
|
|
assert(inRatioSubset->size() == inSampleCount);
|
|
assert(outRatioSubset->size() == outSampleCount);
|
|
}
|
|
|
|
return true;
|
|
}
|