Here is a list of all documented class members with links to the class documentation for each member:

- s -

• save() : BoostClassifier< Classifier >
• scale : Candidate , detail::CandidateParam
• scale_factor : BootStrapParams
• scale_object_detector() : ClassifierDetectHelper< IntegralChannelImagePreprocessor, _Instance >
• scale_response() : DecisionTree< T, DataType >
• scoped_lock() : sprint::scoped_lock< T >
• Serialize() : IntegralImagePreprocessor
• Set() : Candidate
• SetBorder() : BaseHaarFeatureGenerator , BaseIntegralChannelFeatureGenerator , JointSparseGranularFeatureGenerator
• setClassifierParams() : ObjectDetector , ObjectDetectorWrapper< _Instance, _Preprocessor > , ObjectDetectorWrapperBase< _Preprocessor, _Instance >
• SetExportFolder() : SourceDataSet< TPreprocessorType, Aggregator >
• SetFastHeuristic() : BinaryClassifierOracle< FeatureGenerator, ClassifierPolicy, Metric, Aggregator >
• SetFeatureGenerator() : BayesianStumpOracle< FeatureGenerator, Aggregator > , BinaryClassifierOracle< FeatureGenerator, ClassifierPolicy, Metric, Aggregator > , NaiveDecisionStumpOracle< FeatureGenerator, Aggregator > , RealDecisionStumpOracle< FeatureGenerator, Aggregator, Metric >
• SetFeatureMinArea() : BaseHaarFeatureGenerator , BaseIntegralChannelFeatureGenerator , JointSparseGranularFeatureGenerator
• SetFeatureMinWidth() : BaseHaarFeatureGenerator , BaseIntegralChannelFeatureGenerator
• SetGeometry() : BaseHaarFeatureGenerator , BaseIntegralChannelFeatureGenerator , MultiClassDataSetHandle< _PatternType, DataParams >
• setImage() : ImageClassifier , ImageClassifierWrapper< _Instance, _Preprocessor >
• SetNumberOfThreads() : BayesianStumpOracle< FeatureGenerator, Aggregator > , NaiveDecisionStumpOracle< FeatureGenerator, Aggregator >
• SetParams() : DataSetHandle< Aggregator >
• setParams() : ObjectDetector , ObjectDetectorWrapper< _Instance, _Preprocessor >
• SetPreloadSize() : BinaryClassifierOracle< FeatureGenerator, ClassifierPolicy, Metric, Aggregator > , RealDecisionStumpOracle< FeatureGenerator, Aggregator, Metric >
• SetStep() : BaseHaarFeatureGenerator , BaseIntegralChannelFeatureGenerator , JointSparseGranularFeatureGenerator
• SetTrainingSet() : BayesianStumpOracle< FeatureGenerator, Aggregator > , BinaryClassifierOracle< FeatureGenerator, ClassifierPolicy, Metric, Aggregator > , DecisionTreeLearner< Aggregator > , NaiveDecisionStumpOracle< FeatureGenerator, Aggregator > , RealDecisionStumpOracle< FeatureGenerator, Aggregator, Metric >
• ShutdownTrainer() : SingleTree
• sign : CollapsedHaarNode
• signature() : AdaBoostTrainer< Oracle > , BinaryClassifier< FeatureExtractor, Policy > , BoostClassifier< Classifier > , HaarFeature , IntegralChannelFeature , MultiClassClassifier< FeatureExtractor, MultiClassPolicy > , NormalizedHaarFeature , RealToDiscrete< Classifier > , SoftCascadeClassifier< T > , SumAreaFeature
• size() : BoostClassifier< Classifier >
• Size() : DataSetHandle< Aggregator > , MultiClassDataSetHandle< _PatternType, DataParams >
• SoftCascadeClassifier() : SoftCascadeClassifier< T >
• SoftCascadeStage() : SoftCascadeStage< WeakClassifier >
• sort() : BoostClassifier< Classifier >
• step : detail::CandidateParam
• step_mode : ObjectDetectorParams
• StoreType : DataSetHandle< Aggregator > , MultiClassDataSetHandle< _PatternType, DataParams >
• str() : BinaryClassifier< FeatureExtractor, Policy > , MultiClassClassifier< FeatureExtractor, MultiClassPolicy > , RealToDiscrete< Classifier >
• stride : detail::LocalMaxima< D, FeatureListType, Param > , ImageHandle
• sub() : jit
• sz : datasetitem , ObjectDetectorParams