Parameters: Added "Reg/VarianceNormalized". Registration: Transforms are now only normalized in Registration. Added rgbd_dataset tool. MainWindow: odom inliers-only shown option. ExportCloudsDialog: ignoring intermediate nodes for texturing (if they don't have data). DatabaseViewer: "optimized" checkbox enabled in Constraints view for non-neighbor links too.

This commit is contained in:
matlabbe
2017-05-22 11:48:01 -04:00
parent 58e6424bf7
commit 385b7e3389
20 changed files with 758 additions and 155 deletions
@@ -399,6 +399,7 @@ class RTABMAP_EXP Parameters
// Common registration parameters
RTABMAP_PARAM(Reg, VarianceFromInliersCount, bool, false, "Set variance as the inverse of the number of inliers. Otherwise, the variance is computed as the average 3D position error of the inliers.");
RTABMAP_PARAM(Reg, VarianceNormalized, bool, false, "Normalize covariance values. Position variances are multiplied by norm of the transform and orientation variances are multiplied by angle of the transform.");
RTABMAP_PARAM(Reg, Strategy, int, 0, "0=Vis, 1=Icp, 2=VisIcp");
RTABMAP_PARAM(Reg, Force3DoF, bool, false, "Force 3 degrees-of-freedom transform (3Dof: x,y and yaw). Parameters z, roll and pitch will be set to 0.");
@@ -63,6 +63,7 @@ public:
bool varianceFromInliersCount() const {return varianceFromInliersCount_;}
bool force3DoF() const {return force3DoF_;}
bool covarianceNormalized() const {return covarianceNormalized_;}
// take ownership!
void setChildRegistration(Registration * child);
@@ -104,6 +105,7 @@ protected:
private:
bool varianceFromInliersCount_;
bool covarianceNormalized_;
bool force3DoF_;
Registration * child_;
+1 -1
View File
@@ -117,7 +117,7 @@ Link Link::merge(const Link & link, Type outputType) const
link.to(),
outputType,
transform_.isNull()?Transform():transform_ * link.transform(), // FIXME, should be inf1^-1(inf1*t1 + inf2*t2)
transform_.isNull()?cv::Mat::eye(6,6,CV_64FC1):infMatrix_ + link.infMatrix());
transform_.isNull()?cv::Mat::eye(6,6,CV_64FC1):(infMatrix_.inv() + link.infMatrix().inv()).inv());
}
Link Link::inverse() const
-19
View File
@@ -2269,15 +2269,6 @@ Transform Memory::computeTransform(
info->rejectedMsg = msg;
}
}
else if(info && !transform.isIdentity())
{
//normalize variance
info->covariance *= transform.getNorm();
if(info->covariance.at<double>(0,0) < 0.0001)
{
info->covariance = cv::Mat::eye(6,6,CV_64FC1)*0.0001; // epsilon if exact transform
}
}
}
}
return transform;
@@ -2325,16 +2316,6 @@ Transform Memory::computeIcpTransform(
// compute transform fromId -> toId
std::vector<int> inliersV;
t = _registrationIcp->computeTransformation(fromS->sensorData(), toS->sensorData(), guess, info);
if(!t.isNull() && !t.isIdentity() && info)
{
// normalize variance
info->covariance *= t.getNorm();
if(info->covariance.at<double>(0,0)<=0.0)
{
info->covariance = cv::Mat::eye(6,6,CV_64FC1)*0.0001; // epsilon if exact transform
}
}
}
else
{
-6
View File
@@ -529,12 +529,6 @@ Transform Odometry::process(SensorData & data, const Transform & guessIn, Odomet
info->distanceTravelled = distanceTravelled_;
}
info->covariance *= t.getNorm();
if(info->covariance.at<double>(0,0)<=0.0)
{
info->covariance = cv::Mat::eye(6,6,CV_64FC1)*0.0001; // epsilon if exact transform
}
return _pose *= t; // update
}
else if(_resetCurrentCount > 0)
-1
View File
@@ -250,7 +250,6 @@ Transform OdometryF2M::computeTransform(
UASSERT_MSG(bundlePoses.find(lastFrame_->id()) == bundlePoses.end(),
uFormat("Frame %d already added! Make sure the input frames have unique IDs!", lastFrame_->id()).c_str());
regInfo.covariance *= transform.getNorm();
bundleLinks.insert(std::make_pair(bundlePoses_.rbegin()->first, Link(bundlePoses_.rbegin()->first, lastFrame_->id(), Link::kNeighbor, bundlePoses_.rbegin()->second.inverse()*transform, regInfo.covariance.inv())));
bundlePoses.insert(std::make_pair(lastFrame_->id(), transform));
+35 -2
View File
@@ -62,6 +62,7 @@ Registration * Registration::create(Registration::Type & type, const ParametersM
Registration::Registration(const ParametersMap & parameters, Registration * child) :
varianceFromInliersCount_(Parameters::defaultRegVarianceFromInliersCount()),
covarianceNormalized_(Parameters::defaultRegVarianceNormalized()),
force3DoF_(Parameters::defaultRegForce3DoF()),
child_(child)
{
@@ -78,6 +79,7 @@ Registration::~Registration()
void Registration::parseParameters(const ParametersMap & parameters)
{
Parameters::parse(parameters, Parameters::kRegVarianceFromInliersCount(), varianceFromInliersCount_);
Parameters::parse(parameters, Parameters::kRegVarianceNormalized(), covarianceNormalized_);
Parameters::parse(parameters, Parameters::kRegForce3DoF(), force3DoF_);
if(child_)
{
@@ -193,6 +195,11 @@ Transform Registration::computeTransformationMod(
Transform t = computeTransformationImpl(from, to, guess, info);
if(info.covariance.empty())
{
info.covariance = cv::Mat::eye(6,6,CV_64FC1);
}
if(varianceFromInliersCount_)
{
if(info.icpInliersRatio)
@@ -203,12 +210,38 @@ Transform Registration::computeTransformationMod(
{
info.covariance = cv::Mat::eye(6,6,CV_64FC1)*(info.inliers > 0?1.0/double(info.inliers):1.0);
}
if(info.covariance.at<double>(0,0)<0.0001)
}
if(covarianceNormalized_)
{
// normalize variance
UASSERT(info.covariance.cols == 6 && info.covariance.rows == 6);
float norm = t.getNorm();
if(norm > 0.0f)
{
info.covariance =cv::Mat::eye(6,6,CV_64FC1)*0.0001; // epsilon if exact transform
cv::Mat(info.covariance, cv::Range(0,3), cv::Range(0,3)) *= norm;
}
float angle = t.getAngle();
if(angle > 0.0f)
{
cv::Mat(info.covariance, cv::Range(3,6), cv::Range(3,6)) *= angle;
}
}
double epsilon = 0.000001;
if(info.covariance.at<double>(0,0)<=0.0)
info.covariance.at<double>(0,0) = epsilon; // epsilon if exact transform
if(info.covariance.at<double>(1,1)<=0.0)
info.covariance.at<double>(1,1) = epsilon; // epsilon if exact transform
if(info.covariance.at<double>(2,2)<=0.0)
info.covariance.at<double>(2,2) = epsilon; // epsilon if exact transform
if(info.covariance.at<double>(3,3)<=0.0)
info.covariance.at<double>(3,3) = epsilon; // epsilon if exact transform
if(info.covariance.at<double>(4,4)<=0.0)
info.covariance.at<double>(4,4) = epsilon; // epsilon if exact transform
if(info.covariance.at<double>(5,5)<=0.0)
info.covariance.at<double>(5,5) = epsilon; // epsilon if exact transform
if(child_)
{
if(!t.isNull())
+23 -3
View File
@@ -1291,10 +1291,30 @@ Transform RegistrationVis::computeTransformationImpl(
poses.insert(std::make_pair(1, Transform::getIdentity()));
poses.insert(std::make_pair(2, transforms[0]));
links.insert(std::make_pair(1, Link(1, 2, Link::kNeighbor, transforms[0], (covariances[0]*transforms[0].getNorm()).inv())));
cv::Mat cov = covariances[0].clone();
if(covarianceNormalized())
{
cv::Mat(cov, cv::Range(0,3), cv::Range(0,3)) *= transform.getNorm();
cv::Mat(cov, cv::Range(3,6), cv::Range(3,6)) *= transform.getAngle();
}
if(cov.at<double>(0,0)<=0.0)
{
cov = cv::Mat::eye(6,6,CV_64FC1)*0.000001; // epsilon if exact transform
}
links.insert(std::make_pair(1, Link(1, 2, Link::kNeighbor, transforms[0], cov.inv())));
if(!transforms[1].isNull() && inliers[1].size())
{
links.insert(std::make_pair(2, Link(2, 1, Link::kNeighbor, transforms[1], (covariances[1]*transforms[1].getNorm()).inv())));
cov = covariances[1].clone();
if(covarianceNormalized())
{
cv::Mat(cov, cv::Range(0,3), cv::Range(0,3)) *= transform.getNorm();
cv::Mat(cov, cv::Range(3,6), cv::Range(3,6)) *= transform.getAngle();
}
if(cov.at<double>(0,0)<=0.0)
{
cov = cv::Mat::eye(6,6,CV_64FC1)*0.000001; // epsilon if exact transform
}
links.insert(std::make_pair(2, Link(2, 1, Link::kNeighbor, transforms[1], cov.inv())));
}
std::map<int, Transform> optimizedPoses;
@@ -1450,7 +1470,7 @@ Transform RegistrationVis::computeTransformationImpl(
info.inliers = inliersCount;
info.matches = matchesCount;
info.rejectedMsg = msg;
info.covariance = covariance.at<double>(0,0)>0.0001?covariance:cv::Mat::eye(6,6,CV_64FC1)*0.0001; // epsilon if exact transform
info.covariance = covariance;
UDEBUG("transform=%s", transform.prettyPrint().c_str());
return transform;
+1 -1
View File
@@ -589,7 +589,7 @@ void RtabmapThread::addData(const OdometryEvent & odomEvent)
double maxTransVar = odomEvent.transVariance();
if(maxRotVar != 1.0f && maxTransVar != 1.0f && !covariance_.empty())
{
covariance_ = (covariance_.inv() + odomEvent.covariance().inv()).inv();
covariance_ += odomEvent.covariance();
}
else
{
@@ -149,6 +149,7 @@ public:
bool isCacheSavedInFigures() const;
bool notifyWhenNewGlobalPathIsReceived() const;
int getOdomQualityWarnThr() const;
bool isOdomOnlyInliersShown() const;
bool isPosteriorGraphView() const;
int getOdomRegistrationApproach() const;
bool isOdomDisabled() const;
+21 -20
View File
@@ -2206,6 +2206,10 @@ void DatabaseViewer::detectMoreLoopClosures()
}
}
progressDialog->incrementStep();
if(i%100)
{
QApplication::processEvents();
}
}
UINFO("Iteration %d/%d: added %d loop closures.", n+1, iterations, (int)addedLinks.size()/2);
progressDialog->appendText(tr("Iteration %1/%2: Detected %3 loop closures!").arg(n+1).arg(iterations).arg(addedLinks.size()/2));
@@ -3321,30 +3325,27 @@ void DatabaseViewer::updateConstraintView(
.arg(sqrt(link.rotVariance()))
.arg(sqrt(link.transVariance())));
ui_->label_constraint->setText(QString("%1").arg(t.prettyPrint().c_str()).replace(" ", "\n"));
if((link.type() == Link::kNeighbor || link.type() == Link::kNeighborMerged) &&
graphes_.size() &&
if(graphes_.size() &&
(int)graphes_.size()-1 == ui_->horizontalSlider_iterations->maximum())
{
std::map<int, rtabmap::Transform> & graph = uValueAt(graphes_, ui_->horizontalSlider_iterations->value());
if(link.type() == Link::kNeighbor || link.type() == Link::kNeighborMerged)
{
std::map<int, rtabmap::Transform>::iterator iterFrom = graph.find(link.from());
std::map<int, rtabmap::Transform>::iterator iterTo = graph.find(link.to());
if(iterFrom != graph.end() && iterTo != graph.end())
{
ui_->checkBox_showOptimized->setEnabled(true);
Transform topt = iterFrom->second.inverse()*iterTo->second;
float diff = topt.getDistance(t);
Transform v1 = t.rotation()*Transform(1,0,0,0,0,0);
Transform v2 = topt.rotation()*Transform(1,0,0,0,0,0);
float a = pcl::getAngle3D(Eigen::Vector4f(v1.x(), v1.y(), v1.z(), 0), Eigen::Vector4f(v2.x(), v2.y(), v2.z(), 0));
a = (a *180.0f) / CV_PI;
ui_->label_constraint_opt->setText(QString("%1\n(error=%2% a=%3)").arg(QString(topt.prettyPrint().c_str()).replace(" ", "\n")).arg((diff/t.getNorm())*100.0f).arg(a));
if(ui_->checkBox_showOptimized->isChecked())
{
t = topt;
}
std::map<int, rtabmap::Transform>::iterator iterFrom = graph.find(link.from());
std::map<int, rtabmap::Transform>::iterator iterTo = graph.find(link.to());
if(iterFrom != graph.end() && iterTo != graph.end())
{
ui_->checkBox_showOptimized->setEnabled(true);
Transform topt = iterFrom->second.inverse()*iterTo->second;
float diff = topt.getDistance(t);
Transform v1 = t.rotation()*Transform(1,0,0,0,0,0);
Transform v2 = topt.rotation()*Transform(1,0,0,0,0,0);
float a = pcl::getAngle3D(Eigen::Vector4f(v1.x(), v1.y(), v1.z(), 0), Eigen::Vector4f(v2.x(), v2.y(), v2.z(), 0));
a = (a *180.0f) / CV_PI;
ui_->label_constraint_opt->setText(QString("%1\n(error=%2% a=%3)").arg(QString(topt.prettyPrint().c_str()).replace(" ", "\n")).arg((diff/t.getNorm())*100.0f).arg(a));
if(ui_->checkBox_showOptimized->isChecked())
{
t = topt;
}
}
}
+54 -49
View File
@@ -1071,6 +1071,8 @@ bool ExportCloudsDialog::getExportedClouds(
parameters,
has2dScans);
std::set<int> validCameras = uKeysSet(clouds);
UDEBUG("");
if(_canceled)
{
@@ -1915,60 +1917,63 @@ bool ExportCloudsDialog::getExportedClouds(
std::map<int, std::vector<CameraModel> > cameraModels;
for(std::map<int, Transform>::iterator jter=cameras.begin(); jter!=cameras.end(); ++jter)
{
std::vector<CameraModel> models;
StereoCameraModel stereoModel;
bool cacheHasCompressedImage = false;
if(cachedSignatures.contains(jter->first))
if(validCameras.find(jter->first) != validCameras.end())
{
const SensorData & data = cachedSignatures.find(jter->first)->sensorData();
models = data.cameraModels();
stereoModel = data.stereoCameraModel();
cacheHasCompressedImage = !data.imageCompressed().empty();
}
else if(_dbDriver)
{
_dbDriver->getCalibration(jter->first, models, stereoModel);
}
if(stereoModel.isValidForProjection())
{
models.clear();
models.push_back(stereoModel.left());
}
else if(models.size() == 0 || !models[0].isValidForProjection())
{
models.clear();
}
if(!jter->second.isNull() && models.size())
{
if(models[0].imageWidth() == 0 || models[0].imageHeight() == 0)
std::vector<CameraModel> models;
StereoCameraModel stereoModel;
bool cacheHasCompressedImage = false;
if(cachedSignatures.contains(jter->first))
{
// we are using an old database format (image size not saved in calibrations), we should
// uncompress images to get their size
cv::Mat img;
if(cacheHasCompressedImage)
{
cachedSignatures.find(jter->first)->sensorData().uncompressDataConst(&img, 0);
}
else if(_dbDriver)
{
SensorData data;
_dbDriver->getNodeData(jter->first, data, true, false, false, false);
data.uncompressDataConst(&img, 0);
}
cv::Size imageSize = img.size();
imageSize.width /= models.size();
for(unsigned int i=0; i<models.size(); ++i)
{
models[i].setImageSize(imageSize);
}
const SensorData & data = cachedSignatures.find(jter->first)->sensorData();
models = data.cameraModels();
stereoModel = data.stereoCameraModel();
cacheHasCompressedImage = !data.imageCompressed().empty();
}
else if(_dbDriver)
{
_dbDriver->getCalibration(jter->first, models, stereoModel);
}
if(models[0].imageWidth() != 0 && models[0].imageHeight() != 0)
if(stereoModel.isValidForProjection())
{
cameraPoses.insert(std::make_pair(jter->first, jter->second));
cameraModels.insert(std::make_pair(jter->first, models));
models.clear();
models.push_back(stereoModel.left());
}
else if(models.size() == 0 || !models[0].isValidForProjection())
{
models.clear();
}
if(!jter->second.isNull() && models.size())
{
if(models[0].imageWidth() == 0 || models[0].imageHeight() == 0)
{
// we are using an old database format (image size not saved in calibrations), we should
// uncompress images to get their size
cv::Mat img;
if(cacheHasCompressedImage)
{
cachedSignatures.find(jter->first)->sensorData().uncompressDataConst(&img, 0);
}
else if(_dbDriver)
{
SensorData data;
_dbDriver->getNodeData(jter->first, data, true, false, false, false);
data.uncompressDataConst(&img, 0);
}
cv::Size imageSize = img.size();
imageSize.width /= models.size();
for(unsigned int i=0; i<models.size(); ++i)
{
models[i].setImageSize(imageSize);
}
}
if(models[0].imageWidth() != 0 && models[0].imageHeight() != 0)
{
cameraPoses.insert(std::make_pair(jter->first, jter->second));
cameraModels.insert(std::make_pair(jter->first, models));
}
}
}
}
+30 -10
View File
@@ -1120,8 +1120,13 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
bool inlier = odom.info().words.find(iter->first) != odom.info().words.end();
(*cloud)[i].r = inlier?0:255;
(*cloud)[i].g = 255;
(*cloud)[i++].b = 0;
(*cloud)[i].b = 0;
if(!_preferencesDialog->isOdomOnlyInliersShown() || inlier)
{
++i;
}
}
cloud->resize(i);
_cloudViewer->addCloud("featuresOdom", cloud, _odometryCorrection);
_cloudViewer->setCloudVisibility("featuresOdom", true);
@@ -1185,10 +1190,25 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
{
if(odom.info().type == 0)
{
_ui->imageView_odometry->setFeatures(
odom.info().words,
odom.data().depthRaw(),
Qt::yellow);
if(_preferencesDialog->isOdomOnlyInliersShown())
{
std::multimap<int, cv::KeyPoint> kpInliers;
for(unsigned int i=0; i<odom.info().wordInliers.size(); ++i)
{
kpInliers.insert(*odom.info().words.find(odom.info().wordInliers[i]));
}
_ui->imageView_odometry->setFeatures(
kpInliers,
odom.data().depthRaw(),
Qt::green);
}
else
{
_ui->imageView_odometry->setFeatures(
odom.info().words,
odom.data().depthRaw(),
Qt::yellow);
}
}
else if(odom.info().type == 1)
{
@@ -1238,7 +1258,7 @@ void MainWindow::processOdometry(const rtabmap::OdometryEvent & odom, bool dataI
if(odom.info().type == 0)
{
if(_ui->imageView_odometry->isFeaturesShown())
if(_ui->imageView_odometry->isFeaturesShown() && !_preferencesDialog->isOdomOnlyInliersShown())
{
for(unsigned int i=0; i<odom.info().wordMatches.size(); ++i)
{
@@ -5179,7 +5199,7 @@ void MainWindow::postProcessing()
if(!msg.empty())
{
UWARN("%s", msg.c_str());
_initProgressDialog->appendText(tr("%s").arg(msg.c_str()));
_initProgressDialog->appendText(tr("%1").arg(msg.c_str()));
QApplication::processEvents();
updateConstraint = false;
}
@@ -6678,7 +6698,7 @@ void MainWindow::changeState(MainWindow::State newState)
}
}
actions = _ui->menuFile->actions();
if(actions.size()==17)
if(actions.size()==16)
{
if(actions.at(2)->isSeparator())
{
@@ -6688,9 +6708,9 @@ void MainWindow::changeState(MainWindow::State newState)
{
UWARN("Menu File separators have not the same order.");
}
if(actions.at(13)->isSeparator())
if(actions.at(12)->isSeparator())
{
actions.at(13)->setVisible(!monitoring);
actions.at(12)->setVisible(!monitoring);
}
else
{
+9
View File
@@ -306,6 +306,7 @@ PreferencesDialog::PreferencesDialog(QWidget * parent) :
connect(_ui->checkBox_cacheStatistics, SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->checkBox_notifyWhenNewGlobalPathIsReceived, SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->spinBox_odomQualityWarnThr, SIGNAL(valueChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->checkBox_odom_onlyInliersShown, SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->checkBox_posteriorGraphView, SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->checkbox_odomDisabled, SIGNAL(stateChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
connect(_ui->odom_registration, SIGNAL(currentIndexChanged(int)), this, SLOT(makeObsoleteGeneralPanel()));
@@ -785,6 +786,7 @@ PreferencesDialog::PreferencesDialog(QWidget * parent) :
// Registration
_ui->loopClosure_bowVarianceFromInliersCount->setObjectName(Parameters::kRegVarianceFromInliersCount().c_str());
_ui->reg_varianceNormalized->setObjectName(Parameters::kRegVarianceNormalized().c_str());
_ui->comboBox_registrationStrategy->setObjectName(Parameters::kRegStrategy().c_str());
_ui->loopClosure_bowForce2D->setObjectName(Parameters::kRegForce3DoF().c_str());
@@ -1255,6 +1257,7 @@ void PreferencesDialog::resetSettings(QGroupBox * groupBox)
_ui->checkBox_imageRejectedShown->setChecked(true);
_ui->checkBox_imageHighestHypShown->setChecked(false);
_ui->spinBox_odomQualityWarnThr->setValue(50);
_ui->checkBox_odom_onlyInliersShown->setChecked(false);
_ui->checkBox_posteriorGraphView->setChecked(true);
_ui->checkbox_odomDisabled->setChecked(false);
_ui->checkbox_groundTruthAlign->setChecked(true);
@@ -1651,6 +1654,7 @@ void PreferencesDialog::readGuiSettings(const QString & filePath)
_ui->checkBox_cacheStatistics->setChecked(settings.value("figure_cache", _ui->checkBox_cacheStatistics->isChecked()).toBool());
_ui->checkBox_notifyWhenNewGlobalPathIsReceived->setChecked(settings.value("notifyNewGlobalPath", _ui->checkBox_notifyWhenNewGlobalPathIsReceived->isChecked()).toBool());
_ui->spinBox_odomQualityWarnThr->setValue(settings.value("odomQualityThr", _ui->spinBox_odomQualityWarnThr->value()).toInt());
_ui->checkBox_odom_onlyInliersShown->setChecked(settings.value("odomOnlyInliersShown", _ui->checkBox_odom_onlyInliersShown->isChecked()).toBool());
_ui->checkBox_posteriorGraphView->setChecked(settings.value("posteriorGraphView", _ui->checkBox_posteriorGraphView->isChecked()).toBool());
_ui->checkbox_odomDisabled->setChecked(settings.value("odomDisabled", _ui->checkbox_odomDisabled->isChecked()).toBool());
_ui->odom_registration->setCurrentIndex(settings.value("odomRegistration", _ui->odom_registration->currentIndex()).toInt());
@@ -2037,6 +2041,7 @@ void PreferencesDialog::writeGuiSettings(const QString & filePath) const
settings.setValue("figure_cache", _ui->checkBox_cacheStatistics->isChecked());
settings.setValue("notifyNewGlobalPath", _ui->checkBox_notifyWhenNewGlobalPathIsReceived->isChecked());
settings.setValue("odomQualityThr", _ui->spinBox_odomQualityWarnThr->value());
settings.setValue("odomOnlyInliersShown", _ui->checkBox_odom_onlyInliersShown->isChecked());
settings.setValue("posteriorGraphView", _ui->checkBox_posteriorGraphView->isChecked());
settings.setValue("odomDisabled", _ui->checkbox_odomDisabled->isChecked());
settings.setValue("odomRegistration", _ui->odom_registration->currentIndex());
@@ -4026,6 +4031,10 @@ int PreferencesDialog::getOdomQualityWarnThr() const
{
return _ui->spinBox_odomQualityWarnThr->value();
}
bool PreferencesDialog::isOdomOnlyInliersShown() const
{
return _ui->checkBox_odom_onlyInliersShown->isChecked();
}
bool PreferencesDialog::isPosteriorGraphView() const
{
return _ui->checkBox_posteriorGraphView->isChecked();
+55 -12
View File
@@ -63,7 +63,7 @@
<property name="geometry">
<rect>
<x>0</x>
<y>-667</y>
<y>0</y>
<width>673</width>
<height>2747</height>
</rect>
@@ -86,7 +86,7 @@
<enum>QFrame::Raised</enum>
</property>
<property name="currentIndex">
<number>18</number>
<number>19</number>
</property>
<widget class="QWidget" name="page_22">
<layout class="QVBoxLayout" name="verticalLayout_29" stretch="0,1">
@@ -272,7 +272,7 @@
<item>
<widget class="QGroupBox" name="groupBox_5">
<property name="title">
<string>Loop Closure Detection View</string>
<string>Loop Closure Detection</string>
</property>
<layout class="QGridLayout" name="gridLayout_31" columnstretch="0,1">
<item row="1" column="0">
@@ -371,16 +371,15 @@
</widget>
</item>
<item>
<widget class="QGroupBox" name="groupBox">
<widget class="QGroupBox" name="groupBox_21">
<property name="title">
<string>3D Map View</string>
<string>Odometry</string>
</property>
<layout class="QGridLayout" name="gridLayout_38" columnstretch="0,1">
<layout class="QGridLayout" name="gridLayout_85" columnstretch="0,1">
<item row="0" column="1">
<widget class="QLabel" name="label_86">
<widget class="QLabel" name="label_369">
<property name="text">
<string>Odometry warning theshold:
Show a yellow background when the number of odometry inliers goes under this threshold. If 0, it is ignored. You can see the current odometry inliers count under Statistics view -&gt; General -&gt; Odom inliers.</string>
<string>Show only inliers.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
@@ -391,6 +390,30 @@ Show a yellow background when the number of odometry inliers goes under this thr
</widget>
</item>
<item row="0" column="0">
<widget class="QCheckBox" name="checkBox_odom_onlyInliersShown">
<property name="text">
<string/>
</property>
<property name="checked">
<bool>false</bool>
</property>
</widget>
</item>
<item row="1" column="1">
<widget class="QLabel" name="label_159">
<property name="text">
<string>Warning theshold:
Show a yellow background when the number of odometry inliers goes under this threshold. If 0, it is ignored. You can see the current odometry inliers count under Statistics view -&gt; General -&gt; Odom inliers.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="1" column="0">
<widget class="QSpinBox" name="spinBox_odomQualityWarnThr">
<property name="maximum">
<number>9999</number>
@@ -2678,7 +2701,7 @@ when using the file type, logs are saved in LogRtabmap.txt (located in the worki
<item>
<widget class="QStackedWidget" name="stackedWidget_src">
<property name="currentIndex">
<number>2</number>
<number>0</number>
</property>
<widget class="QWidget" name="page_41">
<layout class="QVBoxLayout" name="verticalLayout_64">
@@ -2788,7 +2811,7 @@ when using the file type, logs are saved in LogRtabmap.txt (located in the worki
<item>
<widget class="QStackedWidget" name="stackedWidget_rgbd">
<property name="currentIndex">
<number>6</number>
<number>7</number>
</property>
<widget class="QWidget" name="page_32">
<layout class="QVBoxLayout" name="verticalLayout_63">
@@ -3480,7 +3503,7 @@ when using the file type, logs are saved in LogRtabmap.txt (located in the worki
<string>For RGBD-SLAM datasets, it is 5.</string>
</property>
<property name="decimals">
<number>1</number>
<number>3</number>
</property>
<property name="minimum">
<double>1.000000000000000</double>
@@ -10763,6 +10786,26 @@ If set to false, classic RTAB-Map loop closure detection is done using only imag
</property>
</widget>
</item>
<item row="2" column="1">
<widget class="QLabel" name="label_370">
<property name="text">
<string>Normalize covariance values. Position variances are multiplied by norm of the transform and orientation variances are multiplied by angle of the transform.</string>
</property>
<property name="wordWrap">
<bool>true</bool>
</property>
<property name="textInteractionFlags">
<set>Qt::LinksAccessibleByMouse|Qt::TextSelectableByMouse</set>
</property>
</widget>
</item>
<item row="2" column="0">
<widget class="QCheckBox" name="reg_varianceNormalized">
<property name="text">
<string/>
</property>
</widget>
</item>
</layout>
</widget>
</item>
+1
View File
@@ -6,6 +6,7 @@ ADD_SUBDIRECTORY( Camera )
ADD_SUBDIRECTORY( CameraRGBD )
ADD_SUBDIRECTORY( StereoEval )
ADD_SUBDIRECTORY( KittiDataset )
ADD_SUBDIRECTORY( RgbdDataset )
IF(OPENCV_NONFREE_FOUND)
ADD_SUBDIRECTORY( VocabularyComparison )
+10 -25
View File
@@ -1,28 +1,15 @@
cmake_minimum_required(VERSION 2.8)
IF(DEFINED PROJECT_NAME)
set(internal TRUE)
ENDIF(DEFINED PROJECT_NAME)
if(internal)
# inside rtabmap project (see below for external build)
SET(RTABMap_INCLUDE_DIRS
${PROJECT_SOURCE_DIR}/utilite/include
${PROJECT_SOURCE_DIR}/corelib/include
)
SET(RTABMap_LIBRARIES
rtabmap_core
rtabmap_utilite
)
else()
# external build
PROJECT( MyProject )
# inside rtabmap project (see below for external build)
SET(RTABMap_INCLUDE_DIRS
${PROJECT_SOURCE_DIR}/utilite/include
${PROJECT_SOURCE_DIR}/corelib/include
)
SET(RTABMap_LIBRARIES
rtabmap_core
rtabmap_utilite
)
FIND_PACKAGE(RTABMap REQUIRED)
FIND_PACKAGE(OpenCV REQUIRED)
FIND_PACKAGE(PCL 1.7 REQUIRED)
endif()
if(POLICY CMP0020)
cmake_policy(SET CMP0020 OLD)
endif()
@@ -45,7 +32,5 @@ ADD_EXECUTABLE(kitti_dataset main.cpp)
TARGET_LINK_LIBRARIES(kitti_dataset ${LIBRARIES})
if(internal)
SET_TARGET_PROPERTIES( kitti_dataset
SET_TARGET_PROPERTIES( kitti_dataset
PROPERTIES OUTPUT_NAME ${PROJECT_PREFIX}-kitti_dataset)
endif(internal)
+14 -6
View File
@@ -216,11 +216,14 @@ int main(int argc, char * argv[])
{
gtPath = uReplaceChar(gtPath, '~', UDirectory::homeDir());
gtPath = uReplaceChar(gtPath, '\\', '/');
printf(" Ground Truth: %s\n", gtPath.c_str());
if(!UFile::exists(gtPath))
{
UERROR("Ground truth file path is not valid: \"%s\"", gtPath.c_str());
return -1;
UWARN("Ground truth file path doesn't exist: \"%s\", benchmark values won't be computed.", gtPath.c_str());
gtPath.clear();
}
else
{
printf(" Ground Truth: %s\n", gtPath.c_str());
}
}
if(disp)
@@ -323,7 +326,7 @@ int main(int argc, char * argv[])
Transform(-0.27f, 0.0f, 0.08, 0.0f, 0.0f, 0.0f));
}
bool intermediateNodes = false;
bool intermediateNodes = Parameters::defaultRtabmapCreateIntermediateNodes();
Parameters::parse(parameters, Parameters::kRtabmapCreateIntermediateNodes(), intermediateNodes);
std::string databasePath = output+"/rtabmap" + seq + ".db";
UFile::erase(databasePath);
@@ -386,7 +389,7 @@ int main(int argc, char * argv[])
}
else
{
covariance = (covariance.inv() + odomInfo.covariance.inv()).inv();
covariance += odomInfo.covariance;
}
timer.restart();
@@ -399,8 +402,13 @@ int main(int argc, char * argv[])
double slamTime = timer.ticks();
++iteration;
printf("Iteration %d/%d: speed=%dkm/h camera=%dms, odom(quality=%d/%d)=%dms, slam=%dms\n",
printf("Iteration %d/%d: speed=%dkm/h camera=%dms, odom(quality=%d/%d)=%dms, slam=%dms",
iteration, totalImages, int(speed), int(cameraInfo.timeTotal*1000.0f), odomInfo.inliers, odomInfo.features, int(odomInfo.timeEstimation*1000.0f), int(slamTime*1000.0f));
if(processData && rtabmap.getLoopClosureId()>0)
{
printf(" *");
}
printf("\n");
cameraInfo = CameraInfo();
timer.restart();
+37
View File
@@ -0,0 +1,37 @@
cmake_minimum_required(VERSION 2.8)
# inside rtabmap project (see below for external build)
SET(RTABMap_INCLUDE_DIRS
${PROJECT_SOURCE_DIR}/utilite/include
${PROJECT_SOURCE_DIR}/corelib/include
)
SET(RTABMap_LIBRARIES
rtabmap_core
rtabmap_utilite
)
if(POLICY CMP0020)
cmake_policy(SET CMP0020 OLD)
endif()
SET(INCLUDE_DIRS
${RTABMap_INCLUDE_DIRS}
${OpenCV_INCLUDE_DIRS}
${PCL_INCLUDE_DIRS}
)
SET(LIBRARIES
${RTABMap_LIBRARIES}
${OpenCV_LIBRARIES}
${PCL_LIBRARIES}
)
INCLUDE_DIRECTORIES(${INCLUDE_DIRS})
ADD_EXECUTABLE(rgbd_dataset main.cpp)
TARGET_LINK_LIBRARIES(rgbd_dataset ${LIBRARIES})
SET_TARGET_PROPERTIES( rgbd_dataset
PROPERTIES OUTPUT_NAME ${PROJECT_PREFIX}-rgbd_dataset)
+463
View File
@@ -0,0 +1,463 @@
/*
Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
* Neither the name of the Universite de Sherbrooke nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <rtabmap/core/OdometryF2M.h>
#include "rtabmap/core/Rtabmap.h"
#include "rtabmap/core/CameraRGBD.h"
#include "rtabmap/core/CameraThread.h"
#include "rtabmap/core/Graph.h"
#include "rtabmap/core/OdometryInfo.h"
#include "rtabmap/core/OdometryEvent.h"
#include "rtabmap/core/Memory.h"
#include "rtabmap/core/util3d_registration.h"
#include "rtabmap/utilite/UConversion.h"
#include "rtabmap/utilite/UDirectory.h"
#include "rtabmap/utilite/UFile.h"
#include "rtabmap/utilite/UMath.h"
#include "rtabmap/utilite/UStl.h"
#include <pcl/common/common.h>
#include <stdio.h>
#include <signal.h>
using namespace rtabmap;
void showUsage()
{
printf("\nUsage:\n"
"rtabmap-rgbd_dataset [options] path\n"
" path Folder of the sequence (e.g., \"~/rgbd_dataset_freiburg3_long_office_household\")\n"
" containing least rgb_sync and depth_sync folders. These folders contain\n"
" synchronized images using associate.py tool (use tool version from\n"
" https://gist.github.com/matlabbe/484134a2d9da8ad425362c6669824798). If \n"
" \"groundtruth.txt\" is found in the sequence folder, they will be saved in the database.\n"
" --output Output directory. By default, results are saved in \"path\".\n\n"
"%s\n"
"Example:\n\n"
" $ rtabmap-kitti_dataset \\\n"
" --Vis/EstimationType 1\\\n"
" --Vis/BundleAdjustment 1\\\n"
" --Vis/PnPReprojError 1.5\\\n"
" --Odom/GuessMotion true\\\n"
" --OdomF2M/BundleAdjustment 1\\\n"
" --Rtabmap/CreateIntermediateNodes true\\\n"
" --Rtabmap/DetectionRate 1\\\n"
" ~/rgbd_dataset_freiburg3_long_office_household\n\n", rtabmap::Parameters::showUsage());
exit(1);
}
// catch ctrl-c
bool g_forever = true;
void sighandler(int sig)
{
printf("\nSignal %d caught...\n", sig);
g_forever = false;
}
int main(int argc, char * argv[])
{
signal(SIGABRT, &sighandler);
signal(SIGTERM, &sighandler);
signal(SIGINT, &sighandler);
ULogger::setType(ULogger::kTypeConsole);
ULogger::setLevel(ULogger::kWarning);
ParametersMap parameters;
std::string path;
std::string output;
if(argc < 2)
{
showUsage();
}
else
{
for(int i=1; i<argc; ++i)
{
if(std::strcmp(argv[i], "--output") == 0)
{
output = argv[++i];
}
}
parameters = Parameters::parseArguments(argc, argv);
path = argv[argc-1];
path = uReplaceChar(path, '~', UDirectory::homeDir());
path = uReplaceChar(path, '\\', '/');
if(output.empty())
{
output = path;
}
else
{
output = uReplaceChar(output, '~', UDirectory::homeDir());
UDirectory::makeDir(output);
}
}
std::string pathRgbImages = path+"/rgb_sync";
std::string pathDepthImages = path+"/depth_sync";
std::string pathGt = path+"/groundtruth.txt";
if(!UFile::exists(pathGt))
{
UWARN("Ground truth file path doesn't exist: \"%s\", benchmark values won't be computed.", pathGt.c_str());
pathGt.clear();
}
printf("Paths:\n"
" Dataset path: %s\n"
" RGB path: %s\n"
" Depth path: %s\n"
" Output: %s\n",
path.c_str(),
pathRgbImages.c_str(),
pathDepthImages.c_str(),
output.c_str());
if(!pathGt.empty())
{
printf(" groundtruth.txt: %s\n", pathGt.c_str());
}
if(!parameters.empty())
{
printf("Parameters:\n");
for(ParametersMap::iterator iter=parameters.begin(); iter!=parameters.end(); ++iter)
{
printf(" %s=%s\n", iter->first.c_str(), iter->second.c_str());
}
}
// setup calibraiton file
CameraModel model;
std::string sequenceName = UFile(path).getName();
Transform opticalRotation(0,0,1,0, -1,0,0,0, 0,-1,0,0);
float depthFactor = 5.0f;
if(sequenceName.find("freiburg1") != std::string::npos)
{
model = CameraModel("rtabmap_calib", 517.3, 516.5, 318.6, 255.3, opticalRotation, 0, cv::Size(640,480));
}
else if(sequenceName.find("freiburg2") != std::string::npos)
{
model = CameraModel("rtabmap_calib", 520.9, 521.0, 325.1, 249.7, opticalRotation, 0, cv::Size(640,480));
depthFactor = 5.208f;
}
else //if(sequenceName.find("freiburg3") != std::string::npos)
{
model = CameraModel("rtabmap_calib", 535.4, 539.2, 320.1, 247.6, opticalRotation, 0, cv::Size(640,480));
}
model.save(output);
CameraThread cameraThread(new
CameraRGBDImages(
pathRgbImages,
pathDepthImages,
depthFactor,
0.0f,
opticalRotation), parameters);
((CameraRGBDImages*)cameraThread.camera())->setTimestamps(true, "", false);
if(!pathGt.empty())
{
((CameraRGBDImages*)cameraThread.camera())->setGroundTruthPath(pathGt, 1);
}
bool intermediateNodes = Parameters::defaultRtabmapCreateIntermediateNodes();
float detectionRate = Parameters::defaultRtabmapDetectionRate();
Parameters::parse(parameters, Parameters::kRtabmapCreateIntermediateNodes(), intermediateNodes);
Parameters::parse(parameters, Parameters::kRtabmapDetectionRate(), detectionRate);
std::string databasePath = output+"/rtabmap.db";
UFile::erase(databasePath);
if(cameraThread.camera()->init(output, "rtabmap_calib"))
{
int totalImages = (int)((CameraRGBDImages*)cameraThread.camera())->filenames().size();
OdometryF2M odom(parameters);
Rtabmap rtabmap;
rtabmap.init(parameters, databasePath);
UTimer totalTime;
UTimer timer;
CameraInfo cameraInfo;
SensorData data = cameraThread.camera()->takeImage(&cameraInfo);
int iteration = 0;
/////////////////////////////
// Processing dataset begin
/////////////////////////////
cv::Mat covariance;
double previousStamp = 0.0;
while(data.isValid() && g_forever)
{
std::map<std::string, float> externalStats;
cameraThread.postUpdate(&data, &cameraInfo);
cameraInfo.timeTotal = timer.ticks();
// save camera statistics to database
externalStats.insert(std::make_pair("Camera/BilateralFiltering/ms", cameraInfo.timeBilateralFiltering*1000.0f));
externalStats.insert(std::make_pair("Camera/Capture/ms", cameraInfo.timeCapture*1000.0f));
externalStats.insert(std::make_pair("Camera/Disparity/ms", cameraInfo.timeDisparity*1000.0f));
externalStats.insert(std::make_pair("Camera/ImageDecimation/ms", cameraInfo.timeImageDecimation*1000.0f));
externalStats.insert(std::make_pair("Camera/Mirroring/ms", cameraInfo.timeMirroring*1000.0f));
externalStats.insert(std::make_pair("Camera/ScanFromDepth/ms", cameraInfo.timeScanFromDepth*1000.0f));
externalStats.insert(std::make_pair("Camera/TotalTime/ms", cameraInfo.timeTotal*1000.0f));
externalStats.insert(std::make_pair("Camera/UndistortDepth/ms", cameraInfo.timeUndistortDepth*1000.0f));
OdometryInfo odomInfo;
Transform pose = odom.process(data, &odomInfo);
externalStats.insert(std::make_pair("Odometry/LocalBundle/ms", odomInfo.localBundleTime*1000.0f));
externalStats.insert(std::make_pair("Odometry/TotalTime/ms", odomInfo.timeEstimation*1000.0f));
externalStats.insert(std::make_pair("Odometry/Inliers/ms", odomInfo.inliers));
externalStats.insert(std::make_pair("Odometry/Features/ms", odomInfo.features));
bool processData = true;
if(detectionRate>0.0f &&
previousStamp>0.0 &&
data.stamp()>previousStamp && data.stamp() - previousStamp < 1.0/detectionRate)
{
processData = false;
}
if(processData)
{
previousStamp = data.stamp();
}
if(!processData)
{
// set negative id so rtabmap will detect it as an intermediate node
data.setId(-1);
data.setFeatures(std::vector<cv::KeyPoint>(), std::vector<cv::Point3f>(), cv::Mat());// remove features
processData = intermediateNodes;
}
if(covariance.empty())
{
covariance = odomInfo.covariance;
}
else
{
covariance += odomInfo.covariance;
}
timer.restart();
if(processData)
{
OdometryEvent e(SensorData(), Transform(), odomInfo);
rtabmap.process(data, pose, covariance, e.velocity(), externalStats);
covariance = cv::Mat();
}
double slamTime = timer.ticks();
++iteration;
printf("Iteration %d/%d: camera=%dms, odom(quality=%d/%d)=%dms, slam=%dms",
iteration, totalImages, int(cameraInfo.timeTotal*1000.0f), odomInfo.inliers, odomInfo.features, int(odomInfo.timeEstimation*1000.0f), int(slamTime*1000.0f));
if(processData && rtabmap.getLoopClosureId()>0)
{
printf(" *");
}
printf("\n");
cameraInfo = CameraInfo();
timer.restart();
data = cameraThread.camera()->takeImage(&cameraInfo);
}
printf("Total time=%fs\n", totalTime.ticks());
/////////////////////////////
// Processing dataset end
/////////////////////////////
// Save trajectory
printf("Saving rtabmap_trajectory.txt ...\n");
std::map<int, Transform> poses;
std::multimap<int, Link> links;
rtabmap.getGraph(poses, links, true, true);
std::string pathTrajectory = output+"/rtabmap_poses.txt";
if(poses.size() && graph::exportPoses(pathTrajectory, 2, poses, links))
{
printf("Saving %s... done!\n", pathTrajectory.c_str());
}
else
{
printf("Saving %s... failed!\n", pathTrajectory.c_str());
}
if(!pathGt.empty())
{
// Log ground truth statistics (in TUM's RGBD-SLAM format)
std::map<int, Transform> groundTruth;
//align with ground truth for more meaningful results
pcl::PointCloud<pcl::PointXYZ> cloud1, cloud2;
cloud1.resize(poses.size());
cloud2.resize(poses.size());
int oi = 0;
int idFirst = 0;
for(std::map<int, Transform>::const_iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
Transform o, gtPose;
int m,w;
std::string l;
double s;
std::vector<float> v;
rtabmap.getMemory()->getNodeInfo(iter->first, o, m, w, l, s, gtPose, v, true);
if(!gtPose.isNull())
{
groundTruth.insert(std::make_pair(iter->first, gtPose));
if(oi==0)
{
idFirst = iter->first;
}
cloud1[oi] = pcl::PointXYZ(gtPose.x(), gtPose.y(), gtPose.z());
cloud2[oi++] = pcl::PointXYZ(iter->second.x(), iter->second.y(), iter->second.z());
}
}
Transform t = Transform::getIdentity();
if(oi>5)
{
cloud1.resize(oi);
cloud2.resize(oi);
t = util3d::transformFromXYZCorrespondencesSVD(cloud2, cloud1);
}
else if(idFirst)
{
t = groundTruth.at(idFirst) * poses.at(idFirst).inverse();
}
if(!t.isIdentity())
{
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
iter->second = t * iter->second;
}
}
std::vector<float> translationalErrors(poses.size());
std::vector<float> rotationalErrors(poses.size());
float sumTranslationalErrors = 0.0f;
float sumRotationalErrors = 0.0f;
float sumSqrdTranslationalErrors = 0.0f;
float sumSqrdRotationalErrors = 0.0f;
float radToDegree = 180.0f / M_PI;
float translational_min = 0.0f;
float translational_max = 0.0f;
float rotational_min = 0.0f;
float rotational_max = 0.0f;
oi=0;
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
std::map<int, Transform>::const_iterator jter = groundTruth.find(iter->first);
if(jter!=groundTruth.end())
{
Eigen::Vector3f vA = iter->second.toEigen3f().rotation()*Eigen::Vector3f(1,0,0);
Eigen::Vector3f vB = jter->second.toEigen3f().rotation()*Eigen::Vector3f(1,0,0);
double a = pcl::getAngle3D(Eigen::Vector4f(vA[0], vA[1], vA[2], 0), Eigen::Vector4f(vB[0], vB[1], vB[2], 0));
rotationalErrors[oi] = a*radToDegree;
translationalErrors[oi] = iter->second.getDistance(jter->second);
sumTranslationalErrors+=translationalErrors[oi];
sumSqrdTranslationalErrors+=translationalErrors[oi]*translationalErrors[oi];
sumRotationalErrors+=rotationalErrors[oi];
sumSqrdRotationalErrors+=rotationalErrors[oi]*rotationalErrors[oi];
if(oi == 0)
{
translational_min = translational_max = translationalErrors[oi];
rotational_min = rotational_max = rotationalErrors[oi];
}
else
{
if(translationalErrors[oi] < translational_min)
{
translational_min = translationalErrors[oi];
}
else if(translationalErrors[oi] > translational_max)
{
translational_max = translationalErrors[oi];
}
if(rotationalErrors[oi] < rotational_min)
{
rotational_min = rotationalErrors[oi];
}
else if(rotationalErrors[oi] > rotational_max)
{
rotational_max = rotationalErrors[oi];
}
}
++oi;
}
}
translationalErrors.resize(oi);
rotationalErrors.resize(oi);
if(oi)
{
float total = float(oi);
float translational_rmse = std::sqrt(sumSqrdTranslationalErrors/total);
float translational_mean = sumTranslationalErrors/total;
float translational_median = translationalErrors[oi/2];
float translational_std = std::sqrt(uVariance(translationalErrors, translational_mean));
float rotational_rmse = std::sqrt(sumSqrdRotationalErrors/total);
float rotational_mean = sumRotationalErrors/total;
float rotational_median = rotationalErrors[oi/2];
float rotational_std = std::sqrt(uVariance(rotationalErrors, rotational_mean));
printf(" translational_rmse= %f\n", translational_rmse);
printf(" rotational_rmse= %f\n", rotational_rmse);
FILE * pFile = 0;
std::string pathErrors = output+"/rtabmap_rmse.txt";
pFile = fopen(pathErrors.c_str(),"w");
if(!pFile)
{
UERROR("could not save RMSE results to \"%s\"", pathErrors.c_str());
}
fprintf(pFile, "Ground truth comparison:\n");
fprintf(pFile, " translational_rmse= %f\n", translational_rmse);
fprintf(pFile, " translational_mean= %f\n", translational_mean);
fprintf(pFile, " translational_median= %f\n", translational_median);
fprintf(pFile, " translational_std= %f\n", translational_std);
fprintf(pFile, " translational_min= %f\n", translational_min);
fprintf(pFile, " translational_max= %f\n", translational_max);
fprintf(pFile, " rotational_rmse= %f\n", rotational_rmse);
fprintf(pFile, " rotational_mean= %f\n", rotational_mean);
fprintf(pFile, " rotational_median= %f\n", rotational_median);
fprintf(pFile, " rotational_std= %f\n", rotational_std);
fprintf(pFile, " rotational_min= %f\n", rotational_min);
fprintf(pFile, " rotational_max= %f\n", rotational_max);
fclose(pFile);
}
}
}
else
{
UERROR("Camera init failed!");
}
printf("Saving rtabmap database (with all statistics) to \"%s\"\n", (output+"/rtabmap.db").c_str());
printf("Do:\n"
" $ rtabmap-databaseViewer %s\n\n", (output+"/rtabmap.db").c_str());
return 0;
}