Utility class interface which is used for creating and evaluating features. More...
#include <pcl/ml/feature_handler.h>
Inheritance diagram for pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >:
Public Member Functions | |
| virtual | ~FeatureHandler ()=default |
| Destructor. More... | |
| virtual void | createRandomFeatures (const std::size_t num_of_features, std::vector< FeatureType > &features)=0 |
| Creates random features. More... | |
| virtual void | evaluateFeature (const FeatureType &feature, DataSet &data_set, std::vector< ExampleIndex > &examples, std::vector< float > &results, std::vector< unsigned char > &flags) const =0 |
| Evaluates a feature on the specified data. More... | |
| virtual void | evaluateFeature (const FeatureType &feature, DataSet &data_set, const ExampleIndex &example, float &result, unsigned char &flag) const =0 |
| Evaluates a feature on the specified data. More... | |
| virtual void | generateCodeForEvaluation (const FeatureType &feature, ::std::ostream &stream) const =0 |
| Generates evaluation code for the specified feature and writes it to the specified stream. More... | |
Detailed Description
template<class FeatureType, class DataSet, class ExampleIndex>
class pcl::FeatureHandler< FeatureType, DataSet, ExampleIndex >
Utility class interface which is used for creating and evaluating features.
Definition at line 49 of file feature_handler.h.
Constructor & Destructor Documentation
◆ ~FeatureHandler()
|
virtualdefault |
Destructor.
Member Function Documentation
◆ createRandomFeatures()
|
pure virtual |
Creates random features.
- Parameters
-
[in] num_of_features the number of random features to create [out] features the destination for the created features
Implemented in pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >.
◆ evaluateFeature() [1/2]
|
pure virtual |
Evaluates a feature on the specified data.
- Parameters
-
[in] feature the features to evaluate [in] data_set the data set on which the feature is evaluated [in] example the examples which specify on which parts of the data set the feature is evaluated [out] result the destination for the results of the feature evaluation [out] flag flags that are supplied together with the results
Implemented in pcl::MultiChannel2DComparisonFeatureHandler< DATA_TYPE, NUM_OF_CHANNELS >, pcl::ScaledMultiChannel2DComparisonFeatureHandler< DATA_TYPE, NUM_OF_CHANNELS, SCALE_CHANNEL, INVERT_SCALE >, and pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >.
◆ evaluateFeature() [2/2]
|
pure virtual |
Evaluates a feature on the specified data.
- Parameters
-
[in] feature the features to evaluate [in] data_set the data set on which the feature is evaluated [in] examples the examples which specify on which parts of the data set the feature is evaluated [out] results the destination for the results of the feature evaluation [out] flags flags that are supplied together with the results
Implemented in pcl::MultiChannel2DComparisonFeatureHandler< DATA_TYPE, NUM_OF_CHANNELS >, pcl::ScaledMultiChannel2DComparisonFeatureHandler< DATA_TYPE, NUM_OF_CHANNELS, SCALE_CHANNEL, INVERT_SCALE >, and pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >.
Referenced by pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluate(), pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluate(), pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluateAndAdd(), pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::evaluateAndAdd(), pcl::DecisionTreeEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::getNodes(), and pcl::FernEvaluator< FeatureType, DataSet, LabelType, ExampleIndex, NodeType >::getNodes().
◆ generateCodeForEvaluation()
|
pure virtual |
Generates evaluation code for the specified feature and writes it to the specified stream.
- Parameters
-
[in] feature the feature for which code is generated [out] stream the destination for the code
Implemented in pcl::face_detection::FeatureHandlerDepthAverage< FT, DataSet, ExampleIndex >.
The documentation for this class was generated from the following file:
- pcl/ml/feature_handler.h