Files
q3DMASC/q3DMASC.cpp
T
Daniel Girardeau-Montaut 9924e0d651 Glitch fixes
2018-11-05 00:11:27 +01:00

341 lines
10 KiB
C++

//##########################################################################
//# #
//# CLOUDCOMPARE PLUGIN: q3DMASC #
//# #
//# This program is free software; you can redistribute it and/or modify #
//# it under the terms of the GNU General Public License as published by #
//# the Free Software Foundation; version 2 or later of the License. #
//# #
//# This program is distributed in the hope that it will be useful, #
//# but WITHOUT ANY WARRANTY; without even the implied warranty of #
//# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
//# GNU General Public License for more details. #
//# #
//# COPYRIGHT: Dimitri Lague / CNRS / UEB #
//# #
//##########################################################################
#include "q3DMASC.h"
//local
#include "q3DMASCDisclaimerDialog.h"
#include "q3DMASCClassifier.h"
#include "q3DMASCTools.h"
#include "qClassify3DMASCDialog.h"
//qCC_db
#include <ccPointCloud.h>
#include <ccProgressDialog.h>
//Qt
#include <QtGui>
#include <QtCore>
#include <QApplication>
#include <QFileDialog>
q3DMASCPlugin::q3DMASCPlugin(QObject* parent/*=0*/)
: QObject(parent)
, ccStdPluginInterface( ":/CC/plugin/q3DMASCPlugin/info.json" )
, m_classifyAction(0)
, m_trainAction(0)
{
}
void q3DMASCPlugin::onNewSelection(const ccHObject::Container& selectedEntities)
{
if (m_classifyAction)
{
//classification: only one point cloud
//m_classifyAction->setEnabled(selectedEntities.size() == 1 && selectedEntities[0]->isA(CC_TYPES::POINT_CLOUD));
m_classifyAction->setEnabled(m_app->dbRootObject()->getChildrenNumber() != 0);
}
if (m_trainAction)
{
//m_trainAction->setEnabled(m_app && m_app->dbRootObject() && m_app->dbRootObject()->getChildrenNumber() != 0); //need some loaded entities to train the classifier!
m_trainAction->setEnabled(true);
}
m_selectedEntities = selectedEntities;
}
QList<QAction*> q3DMASCPlugin::getActions()
{
QList<QAction*> group;
if (!m_trainAction)
{
m_trainAction = new QAction("Train classifier", this);
m_trainAction->setToolTip("Train classifier");
m_trainAction->setIcon(QIcon(QString::fromUtf8(":/CC/plugin/q3DMASCPlugin/iconCreate.png")));
connect(m_trainAction, SIGNAL(triggered()), this, SLOT(doTrainAction()));
}
group.push_back(m_trainAction);
if (!m_classifyAction)
{
m_classifyAction = new QAction("Classify", this);
m_classifyAction->setToolTip("Classify cloud");
m_classifyAction->setIcon(QIcon(QString::fromUtf8(":/CC/plugin/q3DMASCPlugin/iconClassify.png")));
connect(m_classifyAction, SIGNAL(triggered()), this, SLOT(doClassifyAction()));
}
group.push_back(m_classifyAction);
return group;
}
void q3DMASCPlugin::doClassifyAction()
{
if (!m_app)
{
assert(false);
return;
}
//disclaimer accepted?
if (!ShowClassifyDisclaimer(m_app))
{
return;
}
QString inputFilename;
{
QSettings settings;
settings.beginGroup("3DMASC");
QString inputPath = settings.value("FilePath", QCoreApplication::applicationDirPath()).toString();
inputFilename = QFileDialog::getOpenFileName(m_app->getMainWindow(), "Load 3DMASC classifier file", inputPath, "*.txt");
if (inputFilename.isNull())
{
//process cancelled by the user
return;
}
settings.setValue("FilePath", QFileInfo(inputFilename).absolutePath());
settings.endGroup();
}
QSet<QString> cloudLabels;
if (!masc::Tools::LoadClassifierCloudLabels(inputFilename, cloudLabels))
{
m_app->dispToConsole("Failed to read classifier file (see Console)", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
if (cloudLabels.empty())
{
m_app->dispToConsole("Invalid classifier file (no cloud label defined)", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
else if (cloudLabels.size() > 3)
{
m_app->dispToConsole("This classifier uses more than 3 clouds (the GUI version cannot handle it)", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
//now show a dialog where the user will be able to set the cloud roles
Classify3DMASCDialog classifDlg(m_app);
classifDlg.setCloudRoles(cloudLabels);
classifDlg.classifierFileLineEdit->setText(inputFilename);
if (!classifDlg.exec())
{
//process cancelled by the user
return;
}
masc::Tools::NamedClouds clouds;
QString mainCloudLabel;
classifDlg.getClouds(clouds, mainCloudLabel);
masc::Feature::Set features;
masc::Classifier classifier;
if (!masc::Tools::LoadClassifier(inputFilename, clouds, features, classifier, m_app->getMainWindow()))
{
return;
}
//the 'main cloud' is the cloud that should be classified
masc::CorePoints corePoints;
corePoints.origin = corePoints.cloud = clouds[mainCloudLabel];
//prepare the main cloud
ccProgressDialog pDlg(true, m_app->getMainWindow());
pDlg.setAutoClose(false); //we don't want the progress dialog to 'pop' for each feature
QString error;
if (!masc::Tools::PrepareFeatures(corePoints, features, error, &pDlg))
{
m_app->dispToConsole(error, ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
pDlg.close();
QCoreApplication::processEvents();
pDlg.setAutoClose(true); //restore the default behavior of the progress dialog
//apply classifier
{
QString errorMessage;
if (!classifier.classify(features, corePoints.cloud, errorMessage, m_app->getMainWindow()))
{
m_app->dispToConsole(errorMessage, ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
}
}
void q3DMASCPlugin::doTrainAction()
{
//disclaimer accepted?
if (!ShowTrainDisclaimer(m_app))
return;
masc::TrainParameters params;
if (params.testDataRatio < 0 || params.testDataRatio > 0.99f)
{
m_app->dispToConsole("Invalid test data ratio", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
QString inputFilename;
{
QSettings settings;
settings.beginGroup("3DMASC");
QString inputPath = settings.value("FilePath", QCoreApplication::applicationDirPath()).toString();
inputFilename = QFileDialog::getOpenFileName(m_app->getMainWindow(), "Load 3DMASC training file", inputPath, "*.txt");
if (inputFilename.isNull())
{
//process cancelled by the user
return;
}
settings.setValue("FilePath", QFileInfo(inputFilename).absolutePath());
settings.endGroup();
}
std::vector<ccPointCloud*> loadedClouds;
masc::CorePoints corePoints;
masc::Feature::Set features;
if (!masc::Tools::LoadTrainingFile(inputFilename, features, loadedClouds, corePoints))
{
while (!loadedClouds.empty())
{
delete loadedClouds.back();
loadedClouds.pop_back();
}
return;
}
//add the loaded clouds to the main DB (so that we don't need to handle them anymore)
ccHObject* group = new ccHObject("3DMASC");
for (ccPointCloud* pc : loadedClouds)
{
group->addChild(pc);
}
ccProgressDialog pDlg(true, m_app->getMainWindow());
if (!corePoints.prepare(&pDlg))
{
m_app->dispToConsole("Failed to compute/prepare the core points!", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
delete group;
return;
}
if (corePoints.cloud != corePoints.origin)
{
//auto-hide the other clouds
for (ccPointCloud* pc : loadedClouds)
{
pc->setEnabled(false);
}
//set an explicit name for the core points
QString corePointsName = corePoints.origin->getName();
switch (corePoints.selectionMethod)
{
case masc::CorePoints::NONE:
break;
case masc::CorePoints::RANDOM:
corePointsName += "_SS_Random@" + QString::number(corePoints.selectionParam);
break;
case masc::CorePoints::SPATIAL:
corePointsName += "_SS_Spatial@" + QString::number(corePoints.selectionParam);
break;
default:
assert(false);
}
corePoints.cloud->setName(QString("Core points (%1)").arg(corePointsName));
group->addChild(corePoints.cloud);
}
m_app->addToDB(group);
QCoreApplication::processEvents();
pDlg.setAutoClose(false); //we don't want the progress dialog to 'pop' for each feature
QString error;
if (!masc::Tools::PrepareFeatures(corePoints, features, error, &pDlg))
{
m_app->dispToConsole(error, ccMainAppInterface::ERR_CONSOLE_MESSAGE);
delete group;
return;
}
pDlg.close();
QCoreApplication::processEvents();
pDlg.setAutoClose(true); //restore the default behavior of the progress dialog
//randomly select the training points
QScopedPointer<CCLib::ReferenceCloud> trainSubset(new CCLib::ReferenceCloud(corePoints.cloud));
QScopedPointer<CCLib::ReferenceCloud> testSubset(new CCLib::ReferenceCloud(corePoints.cloud));
if (!masc::Tools::RandomSubset(corePoints.cloud, params.testDataRatio, testSubset.data(), trainSubset.data()))
{
m_app->dispToConsole("Not enough memory", ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
//train the classifier
masc::Classifier classifier;
{
QString errorMessage;
if (!classifier.train(corePoints.cloud, params.rt, features, errorMessage, trainSubset.data(), m_app->getMainWindow()))
{
m_app->dispToConsole(errorMessage, ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
QString outputFilename;
{
QSettings settings;
settings.beginGroup("3DMASC");
QString outputPath = settings.value("FilePath", QCoreApplication::applicationDirPath()).toString();
outputFilename = QFileDialog::getSaveFileName(m_app->getMainWindow(), "Save 3DMASC classifier", outputPath, "*.txt");
if (outputFilename.isNull())
{
//process cancelled by the user
return;
}
settings.setValue("FilePath", QFileInfo(outputFilename).absolutePath());
settings.endGroup();
}
//save the classifier
if (masc::Tools::SaveClassifier(outputFilename, features, classifier, m_app->getMainWindow()))
{
m_app->dispToConsole("Classifier succesfully saved to " + outputFilename, ccMainAppInterface::STD_CONSOLE_MESSAGE);
}
}
//test classifier
{
masc::Classifier::AccuracyMetrics metrics;
QString errorMessage;
if (!classifier.evaluate(features, testSubset.data(), metrics, errorMessage, m_app->getMainWindow()))
{
m_app->dispToConsole(errorMessage, ccMainAppInterface::ERR_CONSOLE_MESSAGE);
return;
}
m_app->dispToConsole(QString("Correct = %1 / %2 --> accuracy = %3").arg(metrics.goodGuess).arg(metrics.sampleCount).arg(metrics.ratio), ccMainAppInterface::STD_CONSOLE_MESSAGE);
}
}
void q3DMASCPlugin::registerCommands(ccCommandLineInterface* cmd)
{
if (!cmd)
{
assert(false);
return;
}
//cmd->registerCommand(ccCommandLineInterface::Command::Shared(new CommandCanupoClassif));
}