File List

Here is a list of all documented files with brief descriptions:

[detail level 1234]

▼ include
► Classifier
AbsDecisionStump.h	A Decision Stump with Abstention Implements the class AbsDecisionStump
BayesianStump.h	An hystogram based Bayesian classifier Implements the class BayesianStump for BinaryClassifier
BinaryClassifier.h	A Binary Classifier. Implements the class BinaryClassifier
BoostableClassifier.h	Voting Boostable classifier
BoostClassifier.h	Voting for majority classifier
DecisionStump.h	A (really) weak classifier. Implements the policy DecisionStump for BinaryClassifier
DecisionTree.h
HardCascade.h	A boosted hard cascade classifier
HyperplaneClassifier.h
IndirectBinaryClassifier.h
IndirectDecisionTree.h	Implement a decision tree with feature stored in a map
MultiClassClassifier.h	A classifier for Multi-Class Problem Implements the class MultiClassClassifier
MultiClassDecisionStump.h	A (really) weak classifier for Multi-Class Problem Implements some MultiClassDecisionStump
NaiveDecisionStump.h	A very simple decision stump with threshold 0 (could be a more luminance insesitive) Implements the class NaiveDecisionStump for BinaryClassifier
RealDecisionStump.h
RealToDiscrete.h
SimpleDecisionStump.h	A very simple decision stump with no parity Implements the class SimpleDecisionStump for BinaryClassifier
SingleTree.h	Single branch trainer of HaarTreeClassifier
SoftCascade.h
► Descriptor
IntegralImageData.h	Descritor based on a integral image
RawData.h
► factory
► detail
ClassifierDetectorHelper.h
IntegralChannelImage.h
IntegralImage.h
allocate.h	Allocator for classifier
ImageClassifier.h	Virtual classes to work on classifier. ImageClassifier is the simplest one, computing the response image
ImageClassifierWrapper.h	Implements various classifier
ObjectDetector.h	Virtual classes to work on classifier. ObjectDetector exploits all the performance of classifier, reporting directly best candidates
ObjectDetectorWrapper.h	Implements various classifier
register.h	Builder for classifier
► Feature
CollapsedHaarFeature.h	"optimized" haar feature
HaarFeature.h
HoG.h	Generic HoG feature extractor
IntegralChannelFeature.h
JITHaarFeature.h	A runtime compiler for haar feature (only X86/Linux for now)
NormalizedHaarFeature.h	Haar feature with normalized response
SumAreaFeature.h	Haar like feature but the respose is the sum of a rectangular area
► FeatureGenerator
FeatureGenerator.h	Method to generate Feature
FeatureGeneratorUtils.h	Function to handle FeatureGenerator objects
HaarFeatureGenerator.h	This file declare the virtual feature generator for Haar Features
HaarFeatureGenerators.h	This file generates all the possible haar feature
IntegralChannelFeatureGenerator.h	This file declare the virtual feature generator for Integral Channel Features
IntegralChannelFeatureGenerators.h	This file generates all the possible ichn feature
► GUI
Window.h
► IO
datasetin.h	Virtual class to import images
pnmio.h	PNM files I/O
sdfin.h	Set Description File importer class sdfin
► Oracle
► detail
BinaryClassifierOptimize.h
BayesianStumpOracle.h	Methods concerning obtain best threshold for a BayesianStump classifier
BinaryClassifierOracle.h	Methods concerning obtain best threshold (under some metrics) for a Binary Classifier Policy using a "sorted" response patterns
DecisionTree.h
NaiveDecisionStumpOracle.h	Methods concerning obtain best threshold for a NaiveDecisionStump classifier
PrecomputedBinaryClassifierOracle.h	Methods concerning obtain best threshold (under some metrics) for a Binary Classifier Policy using a "sorted" response patterns
RealDecisionStumpOracle.h	Methods concerning obtain threshold and responses for a RealDecisionStump classifier
WeightedPatternResponse.h	WeightedPatternResponse methods and utility functions
► Pattern
Aggregator.h	Macro used to declare a PatternAggregator
Pattern.h	Implement the generic pattern object
PrecomputedPatternResponse.h	This header contains PrecomputedPatternResponse class, used to store hash information provided by a matrix of samples and features
WeightedPattern.h	Extend Pattern object with a weight
► Preprocessor
HoGPreprocessor.h
IntegralChannelImagePreprocessor.h	Method to convert an image sample in integral Channels Image
IntegralImagePreprocessors.h	Method to convert an image sample in integral image preprocessors
► Thread
bind.h	Method to create function pointer for thread call
function.h
invoker.h	Methods used to wrap function calls
mutex.h	Mutex and threadmutex classes
ref.h	Reference ref class
thread.h	Abstracting thread
thread_group.h	Proposal 1 for thread group
tuple.h	Extension of std::pair to multiple dimensions
► Trainer
AdaBoost.h
AdaBoostCommon.h	File containing misc type
AdaBoostTrainer.h	AdaBoostTrainer: implements an Adaboost (Discrete,Gentle,Real) algorithm on some weak classifier Provides some usefull tool to train a classifier using AdaBoost algorithm
DecisionTreeLearner.h	Method to train a DecisionTree
DiscreteAdaBoost.h
HoGCommon.h	File containing misc type
InformationMetrics.h	Some metrics used when train decision trees
SoftCascade.h
SVM.h
► Traits
HaarFeature.h
IntegralChannelFeature.h
Traits.h	Declare DECLARE_BASE_TRAITS traits
► Utility
bitset.h	Some usefull bit operator function
BootStrapProcedure.h	Methods to evaluate classifier on images and detect false positives
ColorSpaceConversions.h
GroupRectangles.h	Method to merge overlapping boxes
HeatmapColorGenerator.h	Tools for color debug images
ImageClassifierOperator.h
ImageSet.h
ImageUtils.h	Method to process image
NonMaximaSuppression.h	Implement a local maxima search algorithm
PrecomputedPatternResponseLoad.h	This file provides some API for Load a PrecomputedPatternResponse
random.h	Some methods about random number generation
ResponseUtils.h	Helping method used during resposne computations
Time.h
timer.h	Cross Platform High Performance timer
Utils.h	This file implements some usefull API for deal with classifier
_stdint.h	Additional typedef, for portability under win32
Candidate.h	Candidate object
Common.h	Some common function to deal with images and training set
DataSet.h	Declare a DataSet
DataSetUtils.h	Utility to operate on DataSet
HaarClassifiers.h	Typedef HaarClassifier(s)
HaarFeatureTools.h	This file implement some debug method usefull for presentation or debugging of Haar Feature
IchnClassifiers.h	Typedef IchnClassifier(s)
Image.h	Method to hold an image
IntegralImage.h
MultiClassDataSet.h	Declare a DataSet for Multi-Class problem
SourceDataSet.h	Declare the SourceDataSet template class
Test.h	Some function to test the classifier on the set
Types.h	Types involved in boosting
xbversion.h