#include <VisionX/components/pointcloud_processor/DenseCRFSegmentationProcessor/DenseGraphCRF.hpp>
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| void | addCombinedGaussianFeature (std::vector< float > sigma, bool use_rgb, bool use_norm, bool use_xyz, bool use_curv, bool use_time, LabelCompatibility *function, KernelType kernel_type=DIAG_KERNEL, NormalizationType normalization_type=NORMALIZE_SYMMETRIC) |
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| template<typename FeatureT> |
| void | addPairwiseGaussianFeature (std::vector< float > sigma, LabelCompatibility *function, KernelType kernel_type=DIAG_KERNEL, NormalizationType normalization_type=NORMALIZE_SYMMETRIC) |
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| void | computeUnaryEnergyFromGraph (float gt_prob) |
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| | DenseGraphCRF (GraphPtrT Graph, int M) |
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| void | map (int n_iterations) |
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| Eigen::VectorXf | map_and_confidence (int n_iterations) |
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template<class GraphT>
class armarx::DenseGraphCRF< GraphT >
Definition at line 42 of file DenseGraphCRF.hpp.
◆ DenseGraphCRF()
◆ addCombinedGaussianFeature()
template<class GraphT>
| void addCombinedGaussianFeature |
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std::vector< float > | sigma, |
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bool | use_rgb, |
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bool | use_norm, |
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bool | use_xyz, |
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bool | use_curv, |
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bool | use_time, |
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LabelCompatibility * | function, |
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KernelType | kernel_type = DIAG_KERNEL, |
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NormalizationType | normalization_type = NORMALIZE_SYMMETRIC ) |
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inline |
◆ addPairwiseGaussianFeature()
template<class GraphT>
template<typename FeatureT>
| void addPairwiseGaussianFeature |
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std::vector< float > | sigma, |
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LabelCompatibility * | function, |
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KernelType | kernel_type = DIAG_KERNEL, |
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NormalizationType | normalization_type = NORMALIZE_SYMMETRIC ) |
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inline |
◆ computeUnaryEnergyFromGraph()
template<class GraphT>
| void computeUnaryEnergyFromGraph |
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float | gt_prob | ) |
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◆ map()
template<class GraphT>
| void map |
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int | n_iterations | ) |
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◆ map_and_confidence()
template<class GraphT>
| Eigen::VectorXf map_and_confidence |
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int | n_iterations | ) |
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The documentation for this class was generated from the following file:
- VisionX/components/pointcloud_processor/DenseCRFSegmentationProcessor/DenseGraphCRF.hpp