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Fixed broken incremental prediction matrix from commit 977d21e

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matlabbe
2018-02-07 18:14:34 -05:00
parent a320eb5d8e
commit e7ceacc215
1 changed files with 13 additions and 14 deletions
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7
corelib/src/BayesFilter.cpp
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@@ -561,6 +561,7 @@ cv::Mat BayesFilter::updatePrediction(const cv::Mat & oldPrediction,
_neighborsIndex.insert(std::make_pair(newIds[i], neighbors)); _neighborsIndex.insert(std::make_pair(newIds[i], neighbors));
} }
const std::map<int, int> & neighbors = _neighborsIndex.at(newIds[i]); const std::map<int, int> & neighbors = _neighborsIndex.at(newIds[i]);
//std::map<int, int> neighbors = memory->getNeighborsId(newIds[i], _predictionLC.size()-1, 0, false, false, true, true);
float sum = addNeighborProb(prediction, i, neighbors, _predictionLC, newIdToIndexMap); float sum = addNeighborProb(prediction, i, neighbors, _predictionLC, newIdToIndexMap);
this->normalize(prediction, i, sum, newIds[0]<0); this->normalize(prediction, i, sum, newIds[0]<0);
@@ -587,16 +588,15 @@ cv::Mat BayesFilter::updatePrediction(const cv::Mat & oldPrediction,
for(std::set<int>::iterator iter = idsToUpdate.begin(); iter!=idsToUpdate.end(); ++iter) for(std::set<int>::iterator iter = idsToUpdate.begin(); iter!=idsToUpdate.end(); ++iter)
{ {
int id = *iter; int id = *iter;
if(id > 0 && id<(int)newIdToIndexMap.size()) if(id > 0)
{ {
int index = newIdToIndexMap.at(id); int index = newIdToIndexMap.at(id);
if(index > 0)
{
e0 = t1.ticks(); e0 = t1.ticks();
std::map<int, std::map<int, int> >::iterator kter = _neighborsIndex.find(id); std::map<int, std::map<int, int> >::iterator kter = _neighborsIndex.find(id);
UASSERT_MSG(kter != _neighborsIndex.end(), uFormat("Did not find %d (current index size=%d)", id, (int)_neighborsIndex.size()).c_str()); UASSERT_MSG(kter != _neighborsIndex.end(), uFormat("Did not find %d (current index size=%d)", id, (int)_neighborsIndex.size()).c_str());
const std::map<int, int> & neighbors = kter->second; const std::map<int, int> & neighbors = kter->second;
//std::map<int, int> neighbors = memory->getNeighborsId(id, _predictionLC.size()-1, 0, false, false, true, true);
e1+=t1.ticks(); e1+=t1.ticks();
float sum = addNeighborProb(prediction, index, neighbors, _predictionLC, newIdToIndexMap); float sum = addNeighborProb(prediction, index, neighbors, _predictionLC, newIdToIndexMap);
@@ -607,7 +607,6 @@ cv::Mat BayesFilter::updatePrediction(const cv::Mat & oldPrediction,
e4+=t1.ticks(); e4+=t1.ticks();
} }
} }
}
UDEBUG("time updating modified/added %d ids = %fs (e0=%f e1=%f e2=%f e3=%f e4=%f)", idsToUpdate.size(), timer.restart(), e0, e1, e2, e3, e4); UDEBUG("time updating modified/added %d ids = %fs (e0=%f e1=%f e2=%f e3=%f e4=%f)", idsToUpdate.size(), timer.restart(), e0, e1, e2, e3, e4);
//UDEBUG("oldIds.size()=%d, oldPrediction.cols=%d, oldPrediction.rows=%d", oldIds.size(), oldPrediction.cols, oldPrediction.rows); //UDEBUG("oldIds.size()=%d, oldPrediction.cols=%d, oldPrediction.rows=%d", oldIds.size(), oldPrediction.cols, oldPrediction.rows);