| ►C_Instance | |
| CImageClassifierWrapper< _Instance, _Preprocessor > | Bridge for ImageClassifier |
| ►C_Preprocessor | |
| CImageClassifierWrapper< _Instance, _Preprocessor > | Bridge for ImageClassifier |
| CObjectDetectorWrapperBase< _Preprocessor, _Instance > | Some common method that can be used to inner detector |
| CAbsDecisionStump< DataType > | A Weak Classifier based on a Feature Extractor policy |
| CAdaBoost< WeakClassifier > | |
| ►CAdaBoost< Oracle::ClassifierType > | |
| CAdaBoostTrainer< Oracle > | |
| CAdaBoostMetric | AdaBoost W+ metric (or any metric based on weighted pattern sum) for DecisionStumpPolicy (in this case only used as container for the param recovered) using PatternResponse |
| CAdaBoostPatternAggregator< PreprocessorType > | Aggregagtor specific for AdaBoost, with a WeightedPattern PatternType |
| ►CBaseHaarFeatureGenerator | Base Feature Generator for Haar Bases using FeatureGenerator_t |
| CBruteForceFeatureGenerator | A library able to generate any Haar Feature |
| CRandomFeatureGenerator | This generator, instead of exhaustive, use a Random sampling approach |
| ►CBaseTrainer | |
| CSingleTree | |
| CBayesianStump< DataType > | |
| CBayesianStumpOracle< FeatureGenerator, Aggregator > | |
| CBinaryClassifierOracle< FeatureGenerator, ClassifierPolicy, Metric, Aggregator > | |
| CBinaryWeightedPatternResponse< ResponseType > | |
| Cheatmap::BlueToRed< T > | |
| CBoostClassifier< Classifier > | |
| ►CBoostClassifier< HaarTreeClassifier > | |
| CSingleTree | |
| CBoostClassifier< WeakClassifier > | |
| CBoostClassifier< WeakClassifierType > | |
| CBootStrapParams | Parameters for BootStrapProcedure |
| CCandidate | Object reported by classifier |
| Cdetail::CandidateParam | Parameters used in the NMS step |
| CClassificationError | |
| ►CClassifier | |
| CRealToDiscrete< Classifier > | |
| CClassifierDetectHelper< _Instance, _Preprocessor > | |
| CClassifierDetectHelper< _Preprocessor, _Instance > | |
| CCollapsedHaarFeature | Optimized HaarFeature |
| CCollapsedHaarNode | Precomputed HaarNode in order to boost evaluation performance |
| CComputeResponseOperator | |
| Csprint::detail::const_ref< T > | Const reference holder of an object |
| ►CCounter | |
| CStatistic | Compute timing statistics |
| CTimer | |
| ►CDataParams | |
| CMultiClassDataSetHandle< _PatternType, DataParams > | |
| ►CMultiClassDataSetHandle< PatternType > | |
| CMultiClassDataSet< PatternType > | |
| ►Cdatasetin | Virtual pure pattern list reader |
| Csdfin | SDF file reader |
| Cdatasetitem | Item used for positive |
| Cdatasetobject | Item for positive/multiclass |
| CDecisionStump< DataType > | A Weak Classifier based on a Feature Extractor policy |
| CDecisionTree< T, DataType > | |
| ►CDescriptor | |
| ►CPattern< Descriptor > | |
| CWeightedPattern< Descriptor > | |
| ►CDiscreteAdaBoostCommon | |
| CAdaBoost< BoostableClassifier< WeakClassifier > > | |
| CDTResponse | |
| CEntropy | |
| CFeatureDescription | |
| ►CFeatureExtractor | |
| CBinaryClassifier< FeatureExtractor, Policy > | A classifier composed by a Feature Extractor and an Evaluation Policy A "Second Level" classifier, merging a feature extractor algorithm with a feature evaluation classifier |
| CMultiClassClassifier< FeatureExtractor, MultiClassPolicy > | A Multi-Class Classifier based on a Feature Extractor policy |
| ►CFeatureGenerator< Feature > | |
| ►CBaseIntegralChannelFeatureGenerator | Base Feature Generator for IntegralChannelFeatureGenerators |
| CBruteForceIntegralChannelFeatureGenerator | A library able to generate any IC Feature |
| CRandomIntegralChannelFeatureGenerator | This generator, instead of exhaustive, use a Random sampling approach |
| CBruteForceFeatureGenerator | A library able to generate any Haar Feature |
| CJointSparseGranularFeatureGenerator | This generator, instead of exhaustive, use a Random sampling approach |
| CRandomFeatureGenerator | This generator, instead of exhaustive, use a Random sampling approach |
| ►CFunctor | |
| Csvm_train< Functor > | SVM trainer |
| CGentleAdaBoostMetric | |
| CGiniIndex | |
| ►CH | |
| CHeatmapColorGenerator< T, H > | |
| Ctraits::HaarFeature | |
| CHaarNode | |
| CHardCascade< WeakClassifier > | |
| CHardCascadeStage< WeakClassifier > | |
| CHoGFeature | |
| CHoGParams | |
| CHoGPreprocessor | Policy to convert an Image in a HoG descriptor Input: BW Image | Output: RawData n scalar |
| Chuman_readable_time | |
| CHyperPlaneClassifier< ScalarType > | |
| ►CImageClassifier | "Binary" Classifier, virtual class |
| CImageClassifierWrapper< _Instance, _Preprocessor > | Bridge for ImageClassifier |
| CImageClassifierOperator | Operator used to collect pattern from the ProcessSet operator |
| ►CImageHandle | |
| CImage | Structure to hold image data (memory) |
| CImageResampler | |
| CIndirectDecisionTree< DataType > | |
| CIntegerPolicy | Discrete policy |
| Ctraits::IntegralChannelFeature | |
| CIntegralChannelFeature | Sum of a rectangular area, implemented on top of Integral Image |
| CIntegralChannelImageParams | Parameters required to address a channel params |
| ►CIntegralChannelImagePreprocessor | |
| ►CObjectDetectorWrapperBase< IntegralChannelImagePreprocessor, _Instance > | |
| CClassifierDetectHelper< IntegralChannelImagePreprocessor, _Instance > | Policy for ICHN |
| CIntegralImageData | Il dato IntegralImage e' pressoche' equivalente a quello di RawData < uint32_t > |
| ►CIntegralImageHandle< T > | |
| CIntegralImage< T > | |
| ►CIntegralImageHandle< uint32_t > | |
| CIntegralImage< uint32_t > | |
| CIntegralImageParams | Parameters required to access to integral image and to create features |
| ►CIntegralImagePreprocessor | |
| ►CObjectDetectorWrapperBase< IntegralImagePreprocessor, _Instance > | |
| CClassifierDetectHelper< IntegralImagePreprocessor, _Instance > | IntegralImage detector, based on the multiple instance allocator with multiscale instance |
| Cjit | |
| CJITHaarFeature | |
| Cdetail::LocalMaxima< D, FeatureListType, Param > | The internal NM class |
| Csprint::detail::mem_fun_0< R, T > | Member function with 0 parameters invoker |
| Csprint::detail::mem_fun_0< void, T > | |
| Csprint::detail::mem_fun_1< R, T, P1 > | Member function with 1 parameters invoker |
| Csprint::detail::mem_fun_10< R, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10 > | Member function with 10 parameters invoker |
| Csprint::detail::mem_fun_10< void, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10 > | |
| Csprint::detail::mem_fun_11< R, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11 > | Member function with 11 parameters invoker |
| Csprint::detail::mem_fun_11< void, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11 > | |
| Csprint::detail::mem_fun_12< R, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12 > | Member function with 12 parameters invoker |
| Csprint::detail::mem_fun_12< void, T, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12 > | |
| Csprint::detail::mem_fun_1< void, T, P1 > | |
| Csprint::detail::mem_fun_2< R, T, P1, P2 > | Member function with 2 parameters invoker |
| Csprint::detail::mem_fun_2< void, T, P1, P2 > | |
| Csprint::detail::mem_fun_3< R, T, P1, P2, P3 > | Member function with 3 parameters invoker |
| Csprint::detail::mem_fun_3< void, T, P1, P2, P3 > | |
| Csprint::detail::mem_fun_4< R, T, P1, P2, P3, P4 > | Member function with 4 parameters invoker |
| Csprint::detail::mem_fun_4< void, T, P1, P2, P3, P4 > | |
| Csprint::detail::mem_fun_5< R, T, P1, P2, P3, P4, P5 > | Member function with 5 parameters invoker |
| Csprint::detail::mem_fun_5< void, T, P1, P2, P3, P4, P5 > | |
| Csprint::detail::mem_fun_6< R, T, P1, P2, P3, P4, P5, P6 > | Member function with 6 parameters invoker |
| Csprint::detail::mem_fun_6< void, T, P1, P2, P3, P4, P5, P6 > | |
| Csprint::detail::mem_fun_7< R, T, P1, P2, P3, P4, P5, P6, P7 > | Member function with 7 parameters invoker |
| Csprint::detail::mem_fun_7< void, T, P1, P2, P3, P4, P5, P6, P7 > | |
| Csprint::detail::mem_fun_8< R, T, P1, P2, P3, P4, P5, P6, P7, P8 > | Member function with 8 parameters invoker |
| Csprint::detail::mem_fun_8< void, T, P1, P2, P3, P4, P5, P6, P7, P8 > | |
| Csprint::detail::mem_fun_9< R, T, P1, P2, P3, P4, P5, P6, P7, P8, P9 > | Member function with 9 parameters invoker |
| Csprint::detail::mem_fun_9< void, T, P1, P2, P3, P4, P5, P6, P7, P8, P9 > | |
| ►CMetric | |
| CRealDecisionStumpOracle< FeatureGenerator, Aggregator, Metric > | |
| Cmetric_cache | Una metrica che calcola la cache |
| Cmetric_linear | Dot product |
| CMultiClassDecisionStumpMultiThreshold< DataType > | |
| CMultiClassDecisionStumpSingleThreshold< DataType > | A simple decision stump for multiclass problem using only one threshold for all problems |
| ►CMultiClassPolicy | |
| CMultiClassClassifier< FeatureExtractor, MultiClassPolicy > | A Multi-Class Classifier based on a Feature Extractor policy |
| Csprint::mutex | Mutex (implemented using pthread) |
| CNaiveDecisionStump | |
| CNaiveDecisionStumpOracle< FeatureGenerator, Aggregator > | |
| ►CObjectDetector | |
| CObjectDetectorWrapper< _Instance, _Preprocessor > | |
| CObjectDetectorGlobalParams | Over-Classifier params |
| CObjectDetectorParams | |
| COptimizedIntegralChannelFeature | Optimized SumAreaFeature |
| COptimizedSumAreaFeature | Optimized SumAreaFeature |
| ►COracle | |
| CAdaBoostTrainer< Oracle > | |
| ►CParamType | |
| ►CDataSetHandle< Aggregator > | |
| ►CDataSet< Aggregator > | |
| CSourceDataSet< TPreprocessorType, Aggregator > | |
| CDecisionTreeLearner< Aggregator > | A Decision Tree builder |
| ►CParamType | |
| CDataSetHandle< AdaBoostPattern > | |
| CPatternAggregator< TPatternType, TParamType > | Help declaring some traits |
| ►CPolicy | |
| CBinaryClassifier< FeatureExtractor, Policy > | A classifier composed by a Feature Extractor and an Evaluation Policy A "Second Level" classifier, merging a feature extractor algorithm with a feature evaluation classifier |
| CIndirectBinaryClassifier< Policy > | A classifier composed by an index of a feature and an Evaluation Policy |
| CPrecomputedPatternBinaryClassifierOracle< Policy > | |
| CPrecomputedPatternResponse< ResponseType > | |
| Csprint::detail::ptr_fun_0< R > | Ptr fun with 0 parameters invoker |
| Csprint::detail::ptr_fun_0< void > | |
| Csprint::detail::ptr_fun_1< R, P1 > | Ptr fun with 1 parameters invoker |
| Csprint::detail::ptr_fun_10< R, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10 > | Ptr fun with 10 parameters invoker |
| Csprint::detail::ptr_fun_10< void, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10 > | |
| Csprint::detail::ptr_fun_11< R, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11 > | Ptr fun with 11 parameters invoker |
| Csprint::detail::ptr_fun_11< void, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11 > | |
| Csprint::detail::ptr_fun_12< R, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12 > | Ptr fun with 12 parameters invoker |
| Csprint::detail::ptr_fun_12< void, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12 > | |
| Csprint::detail::ptr_fun_13< R, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12, P13 > | Ptr fun with 13 parameters invoker |
| Csprint::detail::ptr_fun_13< void, P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12, P13 > | |
| Csprint::detail::ptr_fun_1< void, P1 > | |
| Csprint::detail::ptr_fun_2< R, P1, P2 > | Ptr fun with 2 parameters invoker |
| Csprint::detail::ptr_fun_2< void, P1, P2 > | |
| Csprint::detail::ptr_fun_3< R, P1, P2, P3 > | Ptr fun with 3 parameters invoker |
| Csprint::detail::ptr_fun_3< void, P1, P2, P3 > | |
| Csprint::detail::ptr_fun_4< R, P1, P2, P3, P4 > | Ptr fun with 4 parameters invoker |
| Csprint::detail::ptr_fun_4< void, P1, P2, P3, P4 > | |
| Csprint::detail::ptr_fun_5< R, P1, P2, P3, P4, P5 > | Ptr fun with 5 parameters invoker |
| Csprint::detail::ptr_fun_5< void, P1, P2, P3, P4, P5 > | |
| Csprint::detail::ptr_fun_6< R, P1, P2, P3, P4, P5, P6 > | Ptr fun with 6 parameters invoker |
| Csprint::detail::ptr_fun_6< void, P1, P2, P3, P4, P5, P6 > | |
| Csprint::detail::ptr_fun_7< R, P1, P2, P3, P4, P5, P6, P7 > | Ptr fun with 7 parameters invoker |
| Csprint::detail::ptr_fun_7< void, P1, P2, P3, P4, P5, P6, P7 > | |
| Csprint::detail::ptr_fun_8< R, P1, P2, P3, P4, P5, P6, P7, P8 > | Ptr fun with 8 parameters invoker |
| Csprint::detail::ptr_fun_8< void, P1, P2, P3, P4, P5, P6, P7, P8 > | |
| Csprint::detail::ptr_fun_9< R, P1, P2, P3, P4, P5, P6, P7, P8, P9 > | Ptr fun with 9 parameters invoker |
| Csprint::detail::ptr_fun_9< void, P1, P2, P3, P4, P5, P6, P7, P8, P9 > | |
| Crandom_bit_set | Exclusive random generator |
| CRawData< Type > | |
| CRealAdaBoostMetric | |
| CRealDecisionStump< DataType > | A Weak Classifier based on a Feature Extractor policy |
| Crect | Rectangle structure |
| Csprint::detail::ref< T > | Reference holder of an object |
| CReportTest | |
| Cheatmap::detail::RGB8 | |
| Csprint::scoped_lock< T > | |
| CSimpleDecisionStump< DataType > | |
| Csize | Image/size TODO namespace |
| CSoftCascadeClassifier< T > | |
| CStoredFeatureGenerator< TFeature > | This generator uses a stored feature list |
| CSumAreaFeature | Sum of a rectangular area, implemented on top of Integral Image |
| ►Csprint::thread | |
| Csprint::runnable | |
| Csprint::thread_function | Pthread thread creation params |
| Csprint::thread_group | |
| ►CTPreprocessorType | |
| CSourceDataSet< TPreprocessorType, Aggregator > | |
| Cdetail::traits< type, T > | Traits to change the inner classifier form, to use or not a weighted one |
| CPrecomputedPatternBinaryClassifierOracle< Policy >::Traits< FeatureType > | |
| Cdetail::traits< DicreteClassifier, T > | DiscreteClassifiers uses BoostableClassifier object to convert the binary decision-stump (for example) to provide a floating-point response |
| Cdetail::traits< RealClassifier, T > | Other Classifier usually reports directly a floating-point response |
| Csprint::tuple1< P1 > | Tuple, representing 1 ordered elements |
| Csprint::tuple10< P1, P2, P3, P4, P5, P6, P7, P8, P9, P10 > | Tuple, representing 10 ordered elements |
| Csprint::tuple11< P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11 > | Tuple, representing 11 ordered elements |
| Csprint::tuple12< P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12 > | Tuple, representing 12 ordered elements |
| Csprint::tuple13< P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12, P13 > | Tuple, representing 13 ordered elements |
| Csprint::tuple14< P1, P2, P3, P4, P5, P6, P7, P8, P9, P10, P11, P12, P13, P14 > | Tuple, representing 14 ordered elements |
| Csprint::tuple2< P1, P2 > | Tuple, representing 2 ordered elements |
| Csprint::tuple3< P1, P2, P3 > | Tuple, representing 3 ordered elements |
| Csprint::tuple4< P1, P2, P3, P4 > | Tuple, representing 4 ordered elements |
| Csprint::tuple5< P1, P2, P3, P4, P5 > | Tuple, representing 5 ordered elements |
| Csprint::tuple6< P1, P2, P3, P4, P5, P6 > | Tuple, representing 6 ordered elements |
| Csprint::tuple7< P1, P2, P3, P4, P5, P6, P7 > | Tuple, representing 7 ordered elements |
| Csprint::tuple8< P1, P2, P3, P4, P5, P6, P7, P8 > | Tuple, representing 8 ordered elements |
| Csprint::tuple9< P1, P2, P3, P4, P5, P6, P7, P8, P9 > | Tuple, representing 9 ordered elements |
| ►Cvector | |
| ►CHaarFeature | An haar Feature: a collection of weighted HaarNode |
| CNormalizedHaarFeature | A rationale haar feature |
| ►CWeakClassifier | |
| ►CBoostableClassifier< WeakClassifier > | |
| CSoftCascadeStage< WeakClassifier > | |
| CWeightedPatternResponse< ResponseType > | |
| CWeightedPolicy | Weighted policy |
| CWindowEventManager | A generic Window object |
