#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 46 of file DenseGraphCRF.hpp.
◆ DenseGraphCRF()
◆ addCombinedGaussianFeature()
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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) |
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inline |
◆ addPairwiseGaussianFeature()
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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) |
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inline |
◆ computeUnaryEnergyFromGraph()
void computeUnaryEnergyFromGraph |
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float |
gt_prob | ) |
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◆ map()
void map |
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int |
n_iterations | ) |
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◆ map_and_confidence()
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