mirror of
https://github.com/introlab/rtabmap.git
synced 2026-09-02 17:40:23 +08:00
Fixed labels not correctly shown. Fixed planner not sending next goals when memory management is disabled.
This commit is contained in:
@@ -160,7 +160,7 @@ public:
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const Signature * getLastWorkingSignature() const;
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int getSignatureIdByLabel(const std::string & label, bool lookInDatabase = true) const;
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bool labelSignature(int id, const std::string & label);
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std::map<int, std::string> getAllLabels() const;
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const std::map<int, std::string> & getAllLabels() const {return _labels;}
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bool allNodesInWM() const {return _allNodesInWM;}
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/**
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@@ -328,6 +328,7 @@ private:
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std::set<int> _stMem; // id
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std::map<int, double> _workingMem; // id,age
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std::map<int, Transform> _groundTruths;
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std::map<int, std::string> _labels;
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//Keypoint stuff
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VWDictionary * _vwd;
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@@ -192,6 +192,7 @@ public:
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void setMapCorrection(const Transform & mapCorrection) {_mapCorrection = mapCorrection;}
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void setLoopClosureTransform(const Transform & loopClosureTransform) {_loopClosureTransform = loopClosureTransform;}
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void setLocalizationCovariance(const cv::Mat & covariance) {_localizationCovariance = covariance;}
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void setLabels(const std::map<int, std::string> & labels) {_labels = labels;}
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void setWeights(const std::map<int, int> & weights) {_weights = weights;}
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void setPosterior(const std::map<int, float> & posterior) {_posterior = posterior;}
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void setLikelihood(const std::map<int, float> & likelihood) {_likelihood = likelihood;}
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@@ -218,6 +219,7 @@ public:
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const Transform & mapCorrection() const {return _mapCorrection;}
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const Transform & loopClosureTransform() const {return _loopClosureTransform;}
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const cv::Mat & localizationCovariance() const {return _localizationCovariance;}
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const std::map<int, std::string> & labels() const {return _labels;}
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const std::map<int, int> & weights() const {return _weights;}
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const std::map<int, float> & posterior() const {return _posterior;}
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const std::map<int, float> & likelihood() const {return _likelihood;}
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@@ -248,6 +250,7 @@ private:
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Transform _loopClosureTransform;
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cv::Mat _localizationCovariance;
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std::map<int, std::string> _labels;
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std::map<int, int> _weights;
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std::map<int, float> _posterior;
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std::map<int, float> _likelihood;
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@@ -249,6 +249,10 @@ void Memory::loadDataFromDb(bool postInitClosingEvents)
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}
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}
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// Get labels
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UDEBUG("Get labels");
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_dbDriver->getAllLabels(_labels);
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UDEBUG("Check if all nodes are in Working Memory");
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for(std::map<int, Signature*>::iterator iter=_signatures.begin(); iter!=_signatures.end() && _allNodesInWM; ++iter)
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{
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@@ -923,6 +927,7 @@ void Memory::addSignatureToStm(Signature * signature, const cv::Mat & covariance
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{
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UINFO("Tagging node %d with label \"%s\"", signature->id(), tag.c_str());
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signature->setLabel(tag);
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_labels.insert(std::make_pair(signature->id(), tag));
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}
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}
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}
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@@ -935,6 +940,7 @@ void Memory::addSignatureToStm(Signature * signature, const cv::Mat & covariance
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{
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UINFO("Tagging node %d with label \"%s\"", signature->id(), tag.c_str());
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signature->setLabel(tag);
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_labels.insert(std::make_pair(signature->id(), tag));
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}
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}
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@@ -1593,6 +1599,7 @@ void Memory::clear()
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_rectStereoCameraModel = StereoCameraModel();
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_odomMaxInf.clear();
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_groundTruths.clear();
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_labels.clear();
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_allNodesInWM = true;
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if(_dbDriver)
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@@ -2286,6 +2293,7 @@ bool Memory::labelSignature(int id, const std::string & label)
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Signature * s = this->_getSignature(id);
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if(s)
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{
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uInsert(_labels, std::make_pair(s->id(), label));
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s->setLabel(label);
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_linksChanged = s->isSaved(); // HACK to get label updated in Localization mode
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UWARN("Label \"%s\" set to node %d", label.c_str(), id);
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@@ -2299,6 +2307,7 @@ bool Memory::labelSignature(int id, const std::string & label)
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_dbDriver->loadSignatures(ids,signatures);
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if(signatures.size())
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{
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uInsert(_labels, std::make_pair(signatures.front()->id(), label));
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signatures.front()->setLabel(label);
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UWARN("Label \"%s\" set to node %d", label.c_str(), id);
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_dbDriver->asyncSave(signatures.front()); // move it again to trash
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@@ -2317,23 +2326,6 @@ bool Memory::labelSignature(int id, const std::string & label)
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return false;
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}
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std::map<int, std::string> Memory::getAllLabels() const
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{
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std::map<int, std::string> labels;
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for(std::map<int, Signature*>::const_iterator iter = _signatures.begin(); iter!=_signatures.end(); ++iter)
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{
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if(!iter->second->getLabel().empty())
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{
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labels.insert(std::make_pair(iter->first, iter->second->getLabel()));
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}
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}
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if(_dbDriver)
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{
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_dbDriver->getAllLabels(labels);
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}
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return labels;
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}
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bool Memory::setUserData(int id, const cv::Mat & data)
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{
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Signature * s = this->_getSignature(id);
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@@ -1807,54 +1807,57 @@ bool Rtabmap::process(
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timeGetNeighborsSpaceDb);
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}
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}
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//============================================================
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// RETRIEVAL 2/3 : Update planned path and get next nodes to retrieve
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//============================================================
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std::list<int> retrievalLocalIds;
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if(_rgbdSlamMode)
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//============================================================
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// RETRIEVAL 2/3 : Update planned path and get next nodes to retrieve
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//============================================================
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std::list<int> retrievalLocalIds;
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if(_rgbdSlamMode)
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{
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// Priority on locations on the planned path
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if(_path.size())
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{
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// Priority on locations on the planned path
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if(_path.size())
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updateGoalIndex();
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float distanceSoFar = 0.0f;
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// immunize all nodes after current node and
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// retrieve nodes after current node in the maximum radius from the current node
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for(unsigned int i=_pathCurrentIndex; i<_path.size(); ++i)
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{
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updateGoalIndex();
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float distanceSoFar = 0.0f;
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// immunize all nodes after current node and
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// retrieve nodes after current node in the maximum radius from the current node
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for(unsigned int i=_pathCurrentIndex; i<_path.size(); ++i)
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if(_localRadius > 0.0f && i != _pathCurrentIndex)
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{
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if(_localRadius > 0.0f && i != _pathCurrentIndex)
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{
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distanceSoFar += _path[i-1].second.getDistance(_path[i].second);
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}
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distanceSoFar += _path[i-1].second.getDistance(_path[i].second);
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}
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if(distanceSoFar <= _localRadius)
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if(distanceSoFar <= _localRadius)
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{
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if(_memory->getSignature(_path[i].first) != 0)
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{
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if(_memory->getSignature(_path[i].first) != 0)
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if(immunizedLocations.insert(_path[i].first).second)
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{
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if(immunizedLocations.insert(_path[i].first).second)
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{
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++immunizedLocally;
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}
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UDEBUG("Path immunization: node %d (dist=%fm)", _path[i].first, distanceSoFar);
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}
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else if(retrievalLocalIds.size() < _maxLocalRetrieved)
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{
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UINFO("retrieval of node %d on path (dist=%fm)", _path[i].first, distanceSoFar);
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retrievalLocalIds.push_back(_path[i].first);
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// retrieved locations are automatically immunized
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++immunizedLocally;
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}
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UDEBUG("Path immunization: node %d (dist=%fm)", _path[i].first, distanceSoFar);
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}
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else
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else if(retrievalLocalIds.size() < _maxLocalRetrieved)
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{
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UDEBUG("Stop on node %d (dist=%fm > %fm)",
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_path[i].first, distanceSoFar, _localRadius);
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break;
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UINFO("retrieval of node %d on path (dist=%fm)", _path[i].first, distanceSoFar);
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retrievalLocalIds.push_back(_path[i].first);
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// retrieved locations are automatically immunized
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}
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}
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else
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{
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UDEBUG("Stop on node %d (dist=%fm > %fm)",
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_path[i].first, distanceSoFar, _localRadius);
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break;
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}
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}
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}
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if(!(_memory->allNodesInWM() && maxLocalLocationsImmunized == 0))
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{
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// immunize the path from the nearest local location to the current location
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if(immunizedLocally < maxLocalLocationsImmunized &&
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_memory->isIncremental()) // Can only work in mapping mode
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@@ -2739,6 +2742,8 @@ bool Rtabmap::process(
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}
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}
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statistics_.setLabels(_memory->getAllLabels());
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// Path
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if(_path.size())
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{
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