Merge remote-tracking branch 'origin/release/4.2' into develop
# Conflicts: # .github/workflows/build-special.yml # CMakeLists.txt # README.md # cmake/HandleGeneralOptions.cmake # cmake/HandlePrintConfiguration.cmake # examples/Pose3Localization.cpp # examples/SolverComparer.cpp # gtsam/base/SymmetricBlockMatrix.h # gtsam/discrete/DecisionTree.h # gtsam/discrete/DiscreteFactorGraph.h # gtsam/discrete/DiscreteJunctionTree.h # gtsam/discrete/DiscreteValues.h # gtsam/discrete/discrete.i # gtsam/discrete/tests/testDecisionTreeFactor.cpp # gtsam/discrete/tests/testDiscreteBayesTree.cpp # gtsam/geometry/Pose3.cpp # gtsam/geometry/Pose3.h # gtsam/geometry/geometry.i # gtsam/hybrid/HybridGaussianFactorGraph.cpp # gtsam/hybrid/HybridNonlinearFactorGraph.cpp # gtsam/hybrid/HybridSmoother.cpp # gtsam/hybrid/HybridValues.h # gtsam/hybrid/hybrid.i # gtsam/hybrid/tests/testGaussianMixtureFactor.cpp # gtsam/hybrid/tests/testHybridGaussianFactorGraph.cpp # gtsam/inference/BayesTreeCliqueBase.h # gtsam/linear/NoiseModel.cpp # gtsam/linear/linear.i # gtsam/nonlinear/Expression-inl.h # gtsam/nonlinear/Values-inl.h # gtsam/nonlinear/Values.cpp # gtsam/nonlinear/Values.h # gtsam/nonlinear/tests/testValues.cpp # gtsam/sfm/ShonanAveraging.h # gtsam/slam/tests/testLago.cpp # gtsam/symbolic/symbolic.i # gtsam_unstable/examples/SmartRangeExample_plaza1.cpp # gtsam_unstable/examples/SmartRangeExample_plaza2.cpp # gtsam_unstable/nonlinear/BatchFixedLagSmoother.h # package.xml # python/gtsam/tests/test_DiscreteBayesTree.py # python/gtsam/tests/test_DsfTrackGenerator.py # tests/testGaussianISAM2.cpp # timing/timeCameraExpression.cpp # timing/timeLago.cpprelease/4.3a0
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90c44de450
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@ -55,6 +55,9 @@ Optional prerequisites - used automatically if findable by CMake:
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GTSAM 4 introduces several new features, most notably Expressions and a Python toolbox. It also introduces traits, a C++ technique that allows optimizing with non-GTSAM types. That opens the door to retiring geometric types such as Point2 and Point3 to pure Eigen types, which we also do. A significant change which will not trigger a compile error is that zero-initializing of Point2 and Point3 is deprecated, so please be aware that this might render functions using their default constructor incorrect.
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There is a flag `GTSAM_ALLOW_DEPRECATED_SINCE_V43` for newly deprecated methods since the 4.3 release, which is on by default, allowing anyone to just pull version 4.3 and compile.
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## Wrappers
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We provide support for [MATLAB](matlab/README.md) and [Python](python/README.md) wrappers for GTSAM. Please refer to the linked documents for more details.
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@ -127,6 +127,9 @@ class GTSAM_EXPORT DiscreteFactorGraph
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template <class DERIVED_FACTOR>
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DiscreteFactorGraph(const FactorGraph<DERIVED_FACTOR>& graph) : Base(graph) {}
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/// Destructor
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virtual ~DiscreteFactorGraph() {}
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/// @name Testable
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/// @{
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@ -301,6 +301,9 @@ class DiscreteBayesTree {
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double evaluate(const gtsam::DiscreteValues& values) const;
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double operator()(const gtsam::DiscreteValues& values) const;
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double evaluate(const gtsam::DiscreteValues& values) const;
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double operator()(const gtsam::DiscreteValues& values) const;
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string dot(const gtsam::KeyFormatter& keyFormatter =
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gtsam::DefaultKeyFormatter) const;
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void saveGraph(string s,
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@ -98,6 +98,8 @@ class GTSAM_EXPORT HybridSmoother {
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Ordering getOrdering(const HybridGaussianFactorGraph& factors,
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const KeySet& newFactorKeys);
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Ordering getOrdering(const HybridGaussianFactorGraph& newFactors);
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/**
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* @brief Add conditionals from previous timestep as part of liquefication.
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*
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@ -304,7 +304,6 @@ Diagonal::shared_ptr Diagonal::Precisions(const Vector& precisions,
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bool smart) {
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return Variances(precisions.array().inverse(), smart);
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}
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/* ************************************************************************* */
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void Diagonal::print(const string& name) const {
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gtsam::print(sigmas_, name + "diagonal sigmas ");
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@ -27,8 +27,6 @@
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#include <utility>
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#include <gtsam/nonlinear/Values.h>
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#include <gtsam/nonlinear/Values.h> // Only so Eclipse finds class definition
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namespace gtsam {
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@ -10,3 +10,5 @@
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* Without this they will be automatically converted to a Python object, and all
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* mutations on Python side will not be reflected on C++.
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*/
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#include <pybind11/stl.h>
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