In progress fixing filter/smoother unit tests
parent
46ab10fb06
commit
568335d21f
|
@ -9,7 +9,7 @@ ${gtsam_unstable-default})
|
|||
|
||||
# Exclude tests that don't work
|
||||
set (nonlinear_excluded_tests #"")
|
||||
"${CMAKE_CURRENT_SOURCE_DIR}/tests/testConcurrentIncrementalFilter.cpp"
|
||||
#"${CMAKE_CURRENT_SOURCE_DIR}/tests/testConcurrentIncrementalFilter.cpp"
|
||||
#"${CMAKE_CURRENT_SOURCE_DIR}/tests/testIncrementalFixedLagSmoother.cpp"
|
||||
)
|
||||
|
||||
|
|
|
@ -31,6 +31,9 @@
|
|||
#include <gtsam/base/TestableAssertions.h>
|
||||
#include <CppUnitLite/TestHarness.h>
|
||||
|
||||
#include <tbb/tbb.h>
|
||||
tbb::task_scheduler_init init(1);
|
||||
|
||||
using namespace std;
|
||||
using namespace gtsam;
|
||||
|
||||
|
@ -105,10 +108,6 @@ NonlinearFactorGraph CalculateMarginals(const NonlinearFactorGraph& factorGraph,
|
|||
LinearContainerForGaussianMarginals.push_back(LinearContainerFactor(factor, linPoint));
|
||||
}
|
||||
|
||||
NonlinearFactorGraph LinearContainerForGaussianMarginals;
|
||||
BOOST_FOREACH(const GaussianFactor::shared_ptr& factor, marginal.second) {
|
||||
LinearContainerForGaussianMarginals.push_back(LinearContainerFactor(factor, ordering, linPoint));
|
||||
}
|
||||
return LinearContainerForGaussianMarginals;
|
||||
}
|
||||
|
||||
|
@ -431,16 +430,8 @@ TEST( ConcurrentIncrementalFilter, update_and_marginalize_1 )
|
|||
partialGraph.push_back(BetweenFactor<Pose3>(1, 2, poseOdometry, noiseOdometery));
|
||||
partialGraph.push_back(BetweenFactor<Pose3>(2, 3, poseOdometry, noiseOdometery));
|
||||
|
||||
Values partialValues;
|
||||
// ISAM2 after the update is computing the delta, without applying them to the current lin point
|
||||
partialValues.insert(1, newValues.at(1));
|
||||
partialValues.insert(2, newValues.at(2));
|
||||
partialValues.insert(3, newValues.at(3));
|
||||
GaussianFactorGraph linearGraph = *partialGraph.linearize(newValues);
|
||||
|
||||
|
||||
GaussianFactorGraph linearGraph = *factorGraph.linearize(linPoint);
|
||||
|
||||
// TODO: Correct?
|
||||
GaussianFactorGraph marginal = *linearGraph.eliminatePartialMultifrontal(vector<Key>(keysToMove.begin(), keysToMove.end()), EliminateCholesky).second;
|
||||
|
||||
NonlinearFactorGraph expectedGraph;
|
||||
|
@ -523,17 +514,8 @@ TEST( ConcurrentIncrementalFilter, update_and_marginalize_2 )
|
|||
partialGraph.push_back(BetweenFactor<Pose3>(1, 2, poseOdometry, noiseOdometery));
|
||||
partialGraph.push_back(BetweenFactor<Pose3>(2, 3, poseOdometry, noiseOdometery));
|
||||
|
||||
Values partialValues;
|
||||
// ISAM2 after the update is computing the delta, without applying them to the current lin point
|
||||
partialValues.insert(1, optimalValues.at(1));
|
||||
partialValues.insert(2, optimalValues.at(2));
|
||||
partialValues.insert(3, optimalValues.at(3));
|
||||
GaussianFactorGraph linearGraph = *partialGraph.linearize(newValues);
|
||||
|
||||
|
||||
|
||||
GaussianFactorGraph linearGraph = *factorGraph.linearize(linPoint);
|
||||
|
||||
// TODO: correct?
|
||||
GaussianFactorGraph marginal = *linearGraph.eliminatePartialMultifrontal(vector<Key>(keysToMove.begin(), keysToMove.end()), EliminateCholesky).second;
|
||||
|
||||
NonlinearFactorGraph expectedGraph;
|
||||
|
|
Loading…
Reference in New Issue