Replaced all optimizeIncremental() by optimizeMultiSession() to fix GTSAM errors when merging multiple maps together. DBReader: always publish saved stamp. DBViewer: added actions to set covariance of all neighbor or loop closure links.

This commit is contained in:
matlabbe
2018-10-15 17:07:18 -04:00
parent b2c012d8bc
commit f1546c1fca
15 changed files with 285 additions and 82 deletions
+2 -2
View File
@@ -103,7 +103,7 @@ public:
void savePreviewImage(const cv::Mat & image) const;
cv::Mat loadPreviewImage() const;
void saveOptimizedPoses(const std::map<int, Transform> & optimizedPoses, const Transform & lastlocalizationPose) const;
std::map<int, Transform> loadOptimizedPoses(Transform * lastlocalizationPose) const;
std::map<int, Transform> loadOptimizedPoses(Transform * lastlocalizationPose = 0) const;
void save2DMap(const cv::Mat & map, float xMin, float yMin, float cellSize) const;
cv::Mat load2DMap(float & xMin, float & yMin, float & cellSize) const;
void saveOptimizedMesh(
@@ -232,7 +232,7 @@ protected:
virtual void savePreviewImageQuery(const cv::Mat & image) const = 0;
virtual cv::Mat loadPreviewImageQuery() const = 0;
virtual void saveOptimizedPosesQuery(const std::map<int, Transform> & optimizedPoses, const Transform & lastlocalizationPose) const = 0;
virtual std::map<int, Transform> loadOptimizedPosesQuery(Transform * lastlocalizationPose) const = 0;
virtual std::map<int, Transform> loadOptimizedPosesQuery(Transform * lastlocalizationPose = 0) const = 0;
virtual void save2DMapQuery(const cv::Mat & map, float xMin, float yMin, float cellSize) const = 0;
virtual cv::Mat load2DMapQuery(float & xMin, float & yMin, float & cellSize) const = 0;
virtual void saveOptimizedMeshQuery(
@@ -104,7 +104,7 @@ protected:
virtual void savePreviewImageQuery(const cv::Mat & image) const;
virtual cv::Mat loadPreviewImageQuery() const;
virtual void saveOptimizedPosesQuery(const std::map<int, Transform> & optimizedPoses, const Transform & lastlocalizationPose) const;
virtual std::map<int, Transform> loadOptimizedPosesQuery(Transform * lastlocalizationPose) const;
virtual std::map<int, Transform> loadOptimizedPosesQuery(Transform * lastlocalizationPose = 0) const;
virtual void save2DMapQuery(const cv::Mat & map, float xMin, float yMin, float cellSize) const;
virtual cv::Mat load2DMapQuery(float & xMin, float & yMin, float & cellSize) const;
virtual void saveOptimizedMeshQuery(
+3
View File
@@ -135,6 +135,9 @@ std::multimap<int, int>::const_iterator RTABMAP_EXP findLink(
int from,
int to,
bool checkBothWays = true);
std::list<Link> RTABMAP_EXP findLinks(
const std::multimap<int, Link> & links,
int from);
std::multimap<int, Link> RTABMAP_EXP filterDuplicateLinks(
const std::multimap<int, Link> & links);
+8
View File
@@ -95,6 +95,14 @@ public:
double * finalError = 0,
int * iterationsDone = 0);
std::map<int, Transform> optimizeMultiSession(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & constraints,
std::list<std::map<int, Transform> > * intermediateGraphes = 0,
double * finalError = 0,
int * iterationsDone = 0);
std::map<int, Transform> optimize(
int rootId,
const std::map<int, Transform> & poses,
-4
View File
@@ -400,10 +400,6 @@ SensorData DBReader::getNextData(CameraInfo * info)
_previousStamp = stamp;
_previousMapID = mapId;
}
else
{
stamp = 0;
}
data.uncompressData();
if(data.cameraModels().size() > 1 &&
+19
View File
@@ -1037,6 +1037,25 @@ std::multimap<int, int>::const_iterator findLink(
return links.end();
}
std::list<Link> findLinks(
const std::multimap<int, Link> & links,
int from)
{
std::list<Link> output;
for(std::multimap<int, Link>::const_iterator iter=links.begin(); iter != links.end(); ++iter)
{
if(iter->second.from() == from)
{
output.push_back(iter->second);
}
else if(iter->second.to() == from)
{
output.push_back(iter->second.inverse());
}
}
return output;
}
std::multimap<int, Link> filterDuplicateLinks(
const std::multimap<int, Link> & links)
{
+66 -2
View File
@@ -276,7 +276,7 @@ std::map<int, Transform> Optimizer::optimizeIncremental(
incGraph.insert(*poses.begin());
int i=0;
std::multimap<int, Link> constraintsCpy = constraints;
UDEBUG("Incremental optimization... poses=%d comstraints=%d", (int)poses.size(), (int)constraints.size());
UDEBUG("Incremental optimization... poses=%d constraints=%d", (int)poses.size(), (int)constraints.size());
for(std::map<int, Transform>::const_iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
incGraph.insert(*iter);
@@ -310,7 +310,7 @@ std::map<int, Transform> Optimizer::optimizeIncremental(
incGraph = this->optimize(incGraph.begin()->first, incGraph, incGraphLinks);
if(incGraph.empty())
{
UWARN("Failed incremental optimization...");
UWARN("Failed incremental optimization... last pose added is %d", iter->first);
break;
}
}
@@ -328,6 +328,70 @@ std::map<int, Transform> Optimizer::optimizeIncremental(
return std::map<int, Transform>();
}
std::map<int, Transform> Optimizer::optimizeMultiSession(
int rootId,
const std::map<int, Transform> & poses,
const std::multimap<int, Link> & constraints,
std::list<std::map<int, Transform> > * intermediateGraphes,
double * finalError,
int * iterationsDone)
{
std::map<int, Transform> incGraph;
if(poses.empty())
{
return incGraph;
}
UDEBUG("Incremental optimization... poses=%d constraints=%d", (int)poses.size(), (int)constraints.size());
std::set<int> nextPoses;
nextPoses.insert(rootId);
UASSERT(uContains(poses, rootId));
while(!nextPoses.empty())
{
std::set<int> currentPoses = nextPoses;
nextPoses.clear();
for(std::set<int>::iterator iter=currentPoses.begin(); iter!=currentPoses.end(); ++iter)
{
int fromId = *iter;
if(incGraph.empty())
{
std::map<int, Transform>::const_iterator cter = poses.find(fromId);
UASSERT(cter != poses.end());
incGraph.insert(*cter);
}
std::list<Link> links = graph::findLinks(constraints, fromId);
for(std::list<Link>::iterator jter = links.begin(); jter!=links.end(); ++jter)
{
if(!uContains(incGraph, jter->to()))
{
incGraph.insert(std::make_pair(jter->to(), incGraph.at(jter->from()) * jter->transform()));
nextPoses.insert(jter->to());
}
}
}
}
UASSERT(!incGraph.empty());
if(intermediateGraphes)
{
intermediateGraphes->push_back(incGraph);
}
if(incGraph.size() != poses.size())
{
UWARN("Failed multi-session optimization, output poses (%d) != input poses (%d)", incGraph.size(), poses.size());
}
else
{
UASSERT(uContains(poses, rootId) && uContains(incGraph, rootId));
incGraph.at(rootId) = poses.at(rootId);
return this->optimize(rootId, incGraph, constraints, intermediateGraphes, finalError, iterationsDone);
}
UDEBUG("Failed incremental optimization");
return std::map<int, Transform>();
}
std::map<int, Transform> Optimizer::optimize(
int rootId,
const std::map<int, Transform> & poses,
+1 -1
View File
@@ -1595,7 +1595,7 @@ Transform RegistrationVis::computeTransformationImpl(
if((int)allInliers.size() < _minInliers)
{
msg = uFormat("Not enough inliers after bundle adjustment %d/%d (matches=%d) between %d and %d",
(int)allInliers.size(), _minInliers, fromSignature.id(), toSignature.id());
(int)allInliers.size(), _minInliers, (int)allInliers.size()+sbaOutliers.size(), fromSignature.id(), toSignature.id());
transforms[0].setNull();
}
else
+19 -10
View File
@@ -1073,7 +1073,7 @@ bool Rtabmap::process(
UFATAL("Not supposed to be here...last signature is null?!?");
}
ULOGGER_INFO("Processing signature %d w=%d", signature->id(), signature->getWeight());
ULOGGER_INFO("Processing signature %d w=%d map=%d", signature->id(), signature->getWeight(), signature->mapId());
timeMemoryUpdate = timer.ticks();
ULOGGER_INFO("timeMemoryUpdate=%fs", timeMemoryUpdate);
@@ -2370,12 +2370,14 @@ bool Rtabmap::process(
UINFO("Max optimization linear error = %f m (link %d->%d, var=%f, ratio error/std=%f)", maxLinearError, maxLinearLink->from(), maxLinearLink->to(), maxLinearLink->transVariance(), maxLinearError/sqrt(maxLinearLink->transVariance()));
if(maxLinearErrorRatio > _optimizationMaxError)
{
UWARN("Rejecting all added loop closures (%d) in this "
UWARN("Rejecting all added loop closures (%d, first is %d <-> %d) in this "
"iteration because a wrong loop closure has been "
"detected after graph optimization, resulting in "
"a maximum graph error ratio of %f (edge %d->%d, type=%d, abs error=%f m, stddev=%f). The "
"maximum error ratio parameter \"%s\" is %f of std deviation.",
(int)loopClosureLinksAdded.size(),
loopClosureLinksAdded.front().first,
loopClosureLinksAdded.front().second,
maxLinearErrorRatio,
maxLinearLink->from(),
maxLinearLink->to(),
@@ -2392,12 +2394,14 @@ bool Rtabmap::process(
UINFO("Max optimization angular error = %f deg (link %d->%d, var=%f, ratio error/std=%f)", maxAngularError*180.0f/CV_PI, maxAngularLink->from(), maxAngularLink->to(), maxAngularLink->rotVariance(), maxAngularError/sqrt(maxAngularLink->rotVariance()));
if(maxAngularErrorRatio > _optimizationMaxError)
{
UWARN("Rejecting all added loop closures (%d) in this "
UWARN("Rejecting all added loop closures (%d, first is %d <-> %d) in this "
"iteration because a wrong loop closure has been "
"detected after graph optimization, resulting in "
"a maximum graph error ratio of %f (edge %d->%d, type=%d, abs error=%f deg, stddev=%f). The "
"maximum error ratio parameter \"%s\" is %f of std deviation.",
(int)loopClosureLinksAdded.size(),
loopClosureLinksAdded.front().first,
loopClosureLinksAdded.front().second,
maxAngularErrorRatio,
maxAngularLink->from(),
maxAngularLink->to(),
@@ -2789,7 +2793,7 @@ bool Rtabmap::process(
std::map<int, Signature> signatures;
if(_publishLastSignatureData)
{
UINFO("Adding data %d (rgb/left=%d depth/right=%d)", lastSignatureData.id(), lastSignatureData.sensorData().imageRaw().empty()?0:1, lastSignatureData.sensorData().depthOrRightRaw().empty()?0:1);
UINFO("Adding data %d [%d] (rgb/left=%d depth/right=%d)", lastSignatureData.id(), lastSignatureData.mapId(), lastSignatureData.sensorData().imageRaw().empty()?0:1, lastSignatureData.sensorData().depthOrRightRaw().empty()?0:1);
signatures.insert(std::make_pair(lastSignatureData.id(), lastSignatureData));
}
UDEBUG("");
@@ -2811,6 +2815,11 @@ bool Rtabmap::process(
std::map<int, Transform> groundTruths;
for(std::map<int, Transform>::iterator iter=poses.begin(); iter!=poses.end(); ++iter)
{
if(_publishLastSignatureData && lastSignatureData.id() == iter->first)
{
//already added
continue;
}
Transform odomPoseLocal;
int weight = -1;
int mapId = -1;
@@ -3486,26 +3495,26 @@ std::map<int, Transform> Rtabmap::optimizeGraph(
{
optimizedPoses = _graphOptimizer->optimize(fromId, poses, edgeConstraints, covariance, 0, error, iterationsDone);
if(!poses.empty() && optimizedPoses.empty() && guessPoses.empty())
if(!poses.empty() && optimizedPoses.empty())
{
UWARN("Optimization has failed, trying incremental optimization instead, this may take a while (poses=%d, links=%d)...", (int)poses.size(), (int)edgeConstraints.size());
optimizedPoses = _graphOptimizer->optimizeIncremental(fromId, poses, edgeConstraints, 0, error, iterationsDone);
UWARN("Optimization has failed, trying multi-session optimization instead (poses=%d, guess=%d, links=%d)...", (int)poses.size(), (int)guessPoses.size(), (int)edgeConstraints.size());
optimizedPoses = _graphOptimizer->optimizeMultiSession(fromId, poses, edgeConstraints, 0, error, iterationsDone);
if(optimizedPoses.empty())
{
if(!_graphOptimizer->isCovarianceIgnored() || _graphOptimizer->type() != Optimizer::kTypeTORO)
{
UWARN("Incremental optimization also failed. You may try changing parameters to %s=0 and %s=true.",
UWARN("Multi-session optimization also failed. You may try changing parameters to %s=0 and %s=true.",
Parameters::kOptimizerStrategy().c_str(), Parameters::kOptimizerVarianceIgnored().c_str());
}
else
{
UWARN("Incremental optimization also failed.");
UWARN("Multi-session optimization also failed.");
}
}
else
{
UWARN("Incremental optimization succeeded!");
UWARN("Multi-session optimization succeeded!");
}
}
}
+2 -2
View File
@@ -1192,7 +1192,7 @@ std::map<int, Transform> OptimizerG2O::optimizeBA(
UASSERT(optimizer.verifyInformationMatrices());
UINFO("g2o optimizing begin (max iterations=%d, robustKernel=%f)", iterations(), robustKernelDelta_);
UDEBUG("g2o optimizing begin (max iterations=%d, robustKernel=%f)", iterations(), robustKernelDelta_);
int it = 0;
UTimer timer;
@@ -1270,7 +1270,7 @@ std::map<int, Transform> OptimizerG2O::optimizeBA(
UDEBUG("outliers=%d outliersCountFar=%d", outliersCount, outliersCountFar);
}
}
UINFO("g2o optimizing end (%d iterations done, error=%f, outliers=%d/%d (delta=%f) time = %f s)", it, optimizer.activeRobustChi2(), outliersCount, (int)edges.size(), robustKernelDelta_, timer.ticks());
UDEBUG("g2o optimizing end (%d iterations done, error=%f, outliers=%d/%d (delta=%f) time = %f s)", it, optimizer.activeRobustChi2(), outliersCount, (int)edges.size(), robustKernelDelta_, timer.ticks());
if(optimizer.activeRobustChi2() > 1000000000000.0)
{
+21 -11
View File
@@ -310,7 +310,7 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
optimizer = new gtsam::LevenbergMarquardtOptimizer(graph, initialEstimate, parameters);
}
UINFO("GTSAM optimizing begin (max iterations=%d, robust=%d)", iterations(), isRobust()?1:0);
UDEBUG("GTSAM optimizing begin (max iterations=%d, robust=%d)", iterations(), isRobust()?1:0);
UTimer timer;
int it = 0;
double lastError = optimizer->error();
@@ -344,7 +344,9 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
}
catch(gtsam::IndeterminantLinearSystemException & e)
{
UWARN("GTSAM exception caught: %s", e.what());
UWARN("GTSAM exception caught: %s\n Graph has %d edges and %d vertices", e.what(),
(int)edgeConstraints.size(),
(int)poses.size());
delete optimizer;
return optimizedPoses;
}
@@ -361,7 +363,7 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
}
else
{
UINFO("Stop optimizing, not enough improvement (%f < %f)", errorDelta, this->epsilon());
UDEBUG("Stop optimizing, not enough improvement (%f < %f)", errorDelta, this->epsilon());
break;
}
}
@@ -380,7 +382,7 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
{
*iterationsDone = it;
}
UINFO("GTSAM optimizing end (%d iterations done, error=%f (initial=%f final=%f), time=%f s)",
UDEBUG("GTSAM optimizing end (%d iterations done, error=%f (initial=%f final=%f), time=%f s)",
optimizer->iterations(), optimizer->error(), graph.error(initialEstimate), graph.error(optimizer->values()), timer.ticks());
gtsam::Marginals marginals(graph, optimizer->values());
@@ -406,10 +408,9 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
UTimer t;
gtsam::Marginals marginals(graph, optimizer->values());
gtsam::Matrix info = marginals.marginalCovariance(optimizer->values().rbegin()->key);
UINFO("Computed marginals = %fs (key=%d)", t.ticks(), optimizer->values().rbegin()->key);
if(isSlam2d())
UDEBUG("Computed marginals = %fs (key=%d)", t.ticks(), optimizer->values().rbegin()->key);
if(isSlam2d() && info.cols() == 3 && info.cols() == 3)
{
UASSERT(info.cols() == 3 && info.cols() == 3);
outputCovariance.at<double>(0,0) = info(0,0); // x-x
outputCovariance.at<double>(0,1) = info(0,1); // x-y
outputCovariance.at<double>(0,5) = info(0,2); // x-theta
@@ -420,9 +421,8 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
outputCovariance.at<double>(5,1) = info(2,1); // theta-y
outputCovariance.at<double>(5,5) = info(2,2); // theta-theta
}
else
else if(!isSlam2d() && info.cols() == 6 && info.cols() == 6)
{
UASSERT(info.cols() == 6 && info.cols() == 6);
Eigen::Matrix<double, 6, 6> mgtsam = Eigen::Matrix<double, 6, 6>::Identity();
mgtsam.block(3,3,3,3) = info.block(0,0,3,3); // cov rotation
mgtsam.block(0,0,3,3) = info.block(3,3,3,3); // cov translation
@@ -430,8 +430,18 @@ std::map<int, Transform> OptimizerGTSAM::optimize(
mgtsam.block(3,0,3,3) = info.block(3,0,3,3); // off diagonal
memcpy(outputCovariance.data, mgtsam.data(), outputCovariance.total()*sizeof(double));
}
} catch(std::exception& e) {
cout << e.what() << endl;
else
{
UWARN("GTSAM: Could not compute marginal covariance!");
}
}
catch(gtsam::IndeterminantLinearSystemException & e)
{
UWARN("GTSAM exception caught: %s", e.what());
}
catch(std::exception& e)
{
UWARN("GTSAM exception caught: %s", e.what());
}
delete optimizer;
@@ -114,6 +114,8 @@ private Q_SLOTS:
void view3DMap();
void generate3DMap();
void detectMoreLoopClosures();
void updateAllNeighborCovariances();
void updateAllLoopClosureCovariances();
void refineAllNeighborLinks();
void refineAllLoopClosureLinks();
void resetAllChanges();
@@ -174,6 +176,8 @@ private:
std::multimap<int, rtabmap::Link> updateLinksWithModifications(
const std::multimap<int, rtabmap::Link> & edgeConstraints);
void updateLoopClosuresSlider(int from = 0, int to = 0);
void updateAllCovariances(const QList<Link> & links);
void refineAllLinks(const QList<Link> & links);
void refineConstraint(int from, int to, bool silent);
bool addConstraint(int from, int to, bool silent);
void exportPoses(int format);
@@ -198,6 +202,7 @@ private:
std::list<std::map<int, rtabmap::Transform> > graphes_;
std::multimap<int, rtabmap::Link> graphLinks_;
std::map<int, rtabmap::Transform> odomPoses_;
std::map<int, rtabmap::Transform> dbOptimizedPoses_;
std::map<int, rtabmap::Transform> groundTruthPoses_;
std::map<int, rtabmap::Transform> gpsPoses_;
std::map<int, GPS> gpsValues_;
+109 -33
View File
@@ -256,6 +256,8 @@ DatabaseViewer::DatabaseViewer(const QString & ini, QWidget * parent) :
connect(ui_->actionView_3D_map, SIGNAL(triggered()), this, SLOT(view3DMap()));
connect(ui_->actionGenerate_3D_map_pcd, SIGNAL(triggered()), this, SLOT(generate3DMap()));
connect(ui_->actionDetect_more_loop_closures, SIGNAL(triggered()), this, SLOT(detectMoreLoopClosures()));
connect(ui_->actionUpdate_all_neighbor_covariances, SIGNAL(triggered()), this, SLOT(updateAllNeighborCovariances()));
connect(ui_->actionUpdate_all_loop_closure_covariances, SIGNAL(triggered()), this, SLOT(updateAllLoopClosureCovariances()));
connect(ui_->actionRefine_all_neighbor_links, SIGNAL(triggered()), this, SLOT(refineAllNeighborLinks()));
connect(ui_->actionRefine_all_loop_closure_links, SIGNAL(triggered()), this, SLOT(refineAllLoopClosureLinks()));
connect(ui_->actionRegenerate_local_grid_maps, SIGNAL(triggered()), this, SLOT(regenerateLocalMaps()));
@@ -1466,6 +1468,7 @@ void DatabaseViewer::updateIds()
weights_.clear();
wmStates_.clear();
odomPoses_.clear();
dbOptimizedPoses_.clear();
groundTruthPoses_.clear();
gpsPoses_.clear();
gpsValues_.clear();
@@ -1626,6 +1629,8 @@ void DatabaseViewer::updateIds()
}
}
dbOptimizedPoses_ = dbDriver_->loadOptimizedPoses();
if(!groundTruthPoses_.empty() || !gpsPoses_.empty())
{
ui_->checkBox_alignPosesWithGroundTruth->setVisible(true);
@@ -3290,24 +3295,75 @@ void DatabaseViewer::detectMoreLoopClosures()
progressDialog->setValue(progressDialog->maximumSteps());
}
void DatabaseViewer::refineAllNeighborLinks()
void DatabaseViewer::updateAllNeighborCovariances()
{
if(neighborLinks_.size())
updateAllCovariances(neighborLinks_);
}
void DatabaseViewer::updateAllLoopClosureCovariances()
{
updateAllCovariances(loopLinks_);
}
void DatabaseViewer::updateAllCovariances(const QList<Link> & links)
{
if(links.size())
{
bool ok = false;
double stddev = QInputDialog::getDouble(this, tr("Linear error"), tr("Std deviation (m)"), 0.01, 0.0001, 9, 4, &ok);
if(!ok) return;
double linearVar = stddev*stddev;
stddev = QInputDialog::getDouble(this, tr("Angular error"), tr("Std deviation (deg)"), 1, 0.01, 45, 2, &ok)*M_PI/180.0;
if(!ok) return;
double angularVar = stddev*stddev;
rtabmap::ProgressDialog * progressDialog = new rtabmap::ProgressDialog(this);
progressDialog->setAttribute(Qt::WA_DeleteOnClose);
progressDialog->setMaximumSteps(neighborLinks_.size());
progressDialog->setMaximumSteps(links.size());
progressDialog->setCancelButtonVisible(true);
progressDialog->setMinimumWidth(800);
progressDialog->show();
for(int i=0; i<neighborLinks_.size(); ++i)
{
int from = neighborLinks_[i].from();
int to = neighborLinks_[i].to();
this->refineConstraint(neighborLinks_[i].from(), neighborLinks_[i].to(), true);
cv::Mat infMatrix = cv::Mat::eye(6,6,CV_64FC1);
infMatrix(cv::Range(0,3), cv::Range(0,3))/=linearVar;
infMatrix(cv::Range(3,6), cv::Range(3,6))/=angularVar;
progressDialog->appendText(tr("Refined link %1->%2 (%3/%4)").arg(from).arg(to).arg(i+1).arg(neighborLinks_.size()));
for(int i=0; i<links.size(); ++i)
{
int from = links[i].from();
int to = links[i].to();
Link currentLink = findActiveLink(from, to);
if(!currentLink.isValid())
{
UERROR("Not found link! (%d->%d)", from, to);
return;
}
currentLink = Link(
currentLink.from(),
currentLink.to(),
currentLink.type(),
currentLink.transform(),
infMatrix.clone(),
currentLink.userDataCompressed());
bool updated = false;
std::multimap<int, Link>::iterator iter = linksRefined_.find(currentLink.from());
while(iter != linksRefined_.end() && iter->first == currentLink.from())
{
if(iter->second.to() == currentLink.to() &&
iter->second.type() == currentLink.type())
{
iter->second = currentLink;
updated = true;
break;
}
++iter;
}
if(!updated)
{
linksRefined_.insert(std::make_pair(currentLink.from(), currentLink));
}
progressDialog->appendText(tr("Updated link %1->%2 (%3/%4)").arg(from).arg(to).arg(i+1).arg(links.size()));
progressDialog->incrementStep();
QApplication::processEvents();
if(progressDialog->isCanceled())
@@ -3322,24 +3378,32 @@ void DatabaseViewer::refineAllNeighborLinks()
}
}
void DatabaseViewer::refineAllNeighborLinks()
{
refineAllLinks(neighborLinks_);
}
void DatabaseViewer::refineAllLoopClosureLinks()
{
if(loopLinks_.size())
refineAllLinks(loopLinks_);
}
void DatabaseViewer::refineAllLinks(const QList<Link> & links)
{
if(links.size())
{
rtabmap::ProgressDialog * progressDialog = new rtabmap::ProgressDialog(this);
progressDialog->setAttribute(Qt::WA_DeleteOnClose);
progressDialog->setMaximumSteps(loopLinks_.size());
progressDialog->setMaximumSteps(links.size());
progressDialog->setCancelButtonVisible(true);
progressDialog->setMinimumWidth(800);
progressDialog->show();
for(int i=0; i<loopLinks_.size(); ++i)
for(int i=0; i<links.size(); ++i)
{
int from = loopLinks_[i].from();
int to = loopLinks_[i].to();
this->refineConstraint(loopLinks_[i].from(), loopLinks_[i].to(), true);
int from = links[i].from();
int to = links[i].to();
this->refineConstraint(links[i].from(), links[i].to(), true);
progressDialog->appendText(tr("Refined link %1->%2 (%3/%4)").arg(from).arg(to).arg(i+1).arg(loopLinks_.size()));
progressDialog->appendText(tr("Refined link %1->%2 (%3/%4)").arg(from).arg(to).arg(i+1).arg(links.size()));
progressDialog->incrementStep();
QApplication::processEvents();
if(progressDialog->isCanceled())
@@ -5373,6 +5437,10 @@ void DatabaseViewer::updateGraphView()
{
optimizedGraphGuess = lastOptimizedGraph_;
}
else
{
optimizedGraphGuess = dbOptimizedPoses_;
}
graphes_.clear();
graphLinks_.clear();
@@ -5610,17 +5678,16 @@ void DatabaseViewer::updateGraphView()
time.start();
std::map<int, rtabmap::Transform> finalPoses = optimizer->optimize(fromId, posesOut, linksOut, ui_->checkBox_iterativeOptimization->isChecked()?&graphes_:0);
ui_->label_timeOptimization->setNum(double(time.elapsed())/1000.0);
graphes_.push_back(finalPoses);
graphLinks_ = linksOut;
ui_->label_poses->setNum((int)finalPoses.size());
if(posesOut.size() && finalPoses.empty())
{
UWARN("Optimization failed, trying incremental optimization instead... this may take a while (poses=%d, links=%d).", (int)posesOut.size(), (int)linksOut.size());
finalPoses = optimizer->optimizeIncremental(fromId, posesOut, linksOut, &graphes_);
UWARN("Optimization failed, trying multi-session optimization instead... (poses=%d, links=%d).", (int)posesOut.size(), (int)linksOut.size());
finalPoses = optimizer->optimizeMultiSession(fromId, posesOut, linksOut, &graphes_);
if(finalPoses.empty())
{
UWARN("Incremental optimization also failed.");
UWARN("Multi-session optimization also failed.");
if(!optimizer->isCovarianceIgnored() || optimizer->type() != Optimizer::kTypeTORO)
{
QMessageBox::warning(this, tr("Graph optimization error!"), tr("Graph optimization has failed. See the terminal for potential errors. "
@@ -5631,17 +5698,8 @@ void DatabaseViewer::updateGraphView()
QMessageBox::warning(this, tr("Graph optimization error!"), tr("Graph optimization has failed. See the terminal for potential errors."));
}
}
else
{
UWARN("Incremental optimization succeeded!");
QMessageBox::information(this, tr("Incremental optimization succeeded!"), tr("Graph optimization has failed but "
"incremental optimization succeeded. Next optimizations will use the current "
"best optimized poses as first guess instead of odometry poses."));
useLastOptimizedGraphAsGuess_ = true;
lastOptimizedGraph_ = finalPoses;
}
}
graphes_.push_back(finalPoses);
delete optimizer;
}
if(graphes_.size())
@@ -6308,11 +6366,29 @@ bool DatabaseViewer::addConstraint(int from, int to, bool silent)
UASSERT_MSG(odomPoses_.find(newLink.from()) != odomPoses_.end(), uFormat("id=%d poses=%d links=%d", newLink.from(), (int)poses.size(), (int)links.size()).c_str());
UASSERT_MSG(odomPoses_.find(newLink.to()) != odomPoses_.end(), uFormat("id=%d poses=%d links=%d", newLink.to(), (int)poses.size(), (int)links.size()).c_str());
optimizer->getConnectedGraph(fromId, odomPoses_, linksIn, poses, links);
// use already optimized poses
if(graphes_.size())
{
const std::map<int, Transform> & optimizedPoses = graphes_.back();
for(std::map<int, Transform>::iterator iter = poses.begin(); iter!=poses.end(); ++iter)
{
if(optimizedPoses.find(iter->first) != optimizedPoses.end())
{
iter->second = optimizedPoses.at(iter->first);
}
}
}
UASSERT(poses.find(fromId) != poses.end());
UASSERT_MSG(poses.find(newLink.from()) != poses.end(), uFormat("id=%d poses=%d links=%d", newLink.from(), (int)poses.size(), (int)links.size()).c_str());
UASSERT_MSG(poses.find(newLink.to()) != poses.end(), uFormat("id=%d poses=%d links=%d", newLink.to(), (int)poses.size(), (int)links.size()).c_str());
UASSERT(graph::findLink(links, newLink.from(), newLink.to()) != links.end());
poses = optimizer->optimize(fromId, poses, links);
std::map<int, Transform> posesIn = poses;
poses = optimizer->optimize(fromId, posesIn, links);
if(posesIn.size() && poses.empty())
{
UWARN("Optimization failed, trying multi-session optimization instead... (poses=%d, links=%d).", (int)posesIn.size(), (int)links.size());
poses = optimizer->optimizeMultiSession(fromId, posesIn, links);
}
std::string msg;
if(poses.size())
{
@@ -6333,7 +6409,7 @@ bool DatabaseViewer::addConstraint(int from, int to, bool silent)
if(maxLinearErrorRatio > maxOptimizationError)
{
msg = uFormat("Rejecting edge %d->%d because "
"graph error is too large after optimization (ratio %f for edge %d->%d, stddev=%f). "
"graph error is too large after optimization (ratio %f for edge %d->%d, stddev=%f m). "
"\"%s\" is %f.",
newLink.from(),
newLink.to(),
@@ -6351,7 +6427,7 @@ bool DatabaseViewer::addConstraint(int from, int to, bool silent)
if(maxAngularErrorRatio > maxOptimizationError)
{
msg = uFormat("Rejecting edge %d->%d because "
"graph error is too large after optimization (ratio %f for edge %d->%d, stddev=%f). "
"graph error is too large after optimization (ratio %f for edge %d->%d, stddev=%f deg). "
"\"%s\" is %f.",
newLink.from(),
newLink.to(),
+26 -14
View File
@@ -61,8 +61,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>327</width>
<height>222</height>
<width>301</width>
<height>242</height>
</rect>
</property>
<layout class="QGridLayout" name="gridLayout" columnstretch="0,1">
@@ -253,8 +253,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>327</width>
<height>222</height>
<width>301</width>
<height>242</height>
</rect>
</property>
<layout class="QGridLayout" name="gridLayout_2" columnstretch="0,1">
@@ -579,7 +579,7 @@
<x>0</x>
<y>0</y>
<width>1547</width>
<height>25</height>
<height>22</height>
</rect>
</property>
<widget class="QMenu" name="menuFile">
@@ -637,6 +637,8 @@
<addaction name="actionDetect_more_loop_closures"/>
<addaction name="actionRefine_all_neighbor_links"/>
<addaction name="actionRefine_all_loop_closure_links"/>
<addaction name="actionUpdate_all_neighbor_covariances"/>
<addaction name="actionUpdate_all_loop_closure_covariances"/>
<addaction name="separator"/>
<addaction name="actionRegenerate_local_grid_maps"/>
<addaction name="actionRegenerate_local_grid_maps_selected"/>
@@ -1228,8 +1230,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>312</width>
<height>200</height>
<width>318</width>
<height>197</height>
</rect>
</property>
<attribute name="label">
@@ -1389,9 +1391,9 @@
<property name="geometry">
<rect>
<x>0</x>
<y>-167</y>
<width>441</width>
<height>764</height>
<y>0</y>
<width>519</width>
<height>791</height>
</rect>
</property>
<attribute name="label">
@@ -1924,8 +1926,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>200</width>
<height>111</height>
<width>205</width>
<height>114</height>
</rect>
</property>
<attribute name="label">
@@ -2024,8 +2026,8 @@
<rect>
<x>0</x>
<y>0</y>
<width>179</width>
<height>452</height>
<width>185</width>
<height>485</height>
</rect>
</property>
<attribute name="label">
@@ -2696,6 +2698,16 @@
<string>Update optimized mesh...</string>
</property>
</action>
<action name="actionUpdate_all_neighbor_covariances">
<property name="text">
<string>Update all neighbor covariances...</string>
</property>
</action>
<action name="actionUpdate_all_loop_closure_covariances">
<property name="text">
<string>Update all loop closure covariances...</string>
</property>
</action>
</widget>
<customwidgets>
<customwidget>
+3 -2
View File
@@ -240,6 +240,7 @@ int main(int argc, char * argv[])
std::string workingDirectory = UDirectory::getDir(outputDatabasePath);
printf("Set working directory to \"%s\".\n", workingDirectory.c_str());
uInsert(parameters, ParametersPair(Parameters::kRtabmapWorkingDirectory(), workingDirectory));
uInsert(parameters, ParametersPair(Parameters::kRtabmapPublishStats(), "true")); // to log status below
Rtabmap rtabmap;
rtabmap.init(parameters, outputDatabasePath);
@@ -369,11 +370,11 @@ int main(int argc, char * argv[])
if (loopId>0)
{
int loopMapId = uContains(stats.getSignatures(), loopId) ? stats.getSignatures().at(loopId).mapId() : -1;
printf("Processed %d/%d nodes [Map=%d]... %dms Loop on %d [Map=%d]\n", ++processed, totalIds, loopMapId, int(iterationTime.ticks() * 1000), loopId, loopMapId);
printf("Processed %d/%d nodes [%d]... %dms Loop on %d [%d]\n", ++processed, totalIds, refMapId, int(iterationTime.ticks() * 1000), loopId, loopMapId);
}
else
{
printf("Processed %d/%d nodes [Map=%d]... %dms\n", ++processed, totalIds, refMapId, int(iterationTime.ticks() * 1000));
printf("Processed %d/%d nodes [%d]... %dms\n", ++processed, totalIds, refMapId, int(iterationTime.ticks() * 1000));
}
data = dbReader.takeImage(&info);