Uses of Package
clickTrainDetector.clickTrainAlgorithms.mht
Packages that use clickTrainDetector.clickTrainAlgorithms.mht
Package
Description
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Classes in clickTrainDetector.clickTrainAlgorithms.mht used by clickTrainDetector.clickTrainAlgorithms.mhtClassDescriptionAlgorithmInfo for the MHT algorithm.Any variable used by the MHT algorithmParameters class must extend this.The MHTChi2 provider manages the mhtchi2 algorithms for each track possibility.Handles which type of chi2 algorithm is being used and what settings pane to create.A click train algorithm based on a multi-hypothesis tracker (MHT) which groups data based on a minimisation function.A single MHT click train algorithm for a particular channel or channel group.Core functions for a multi-hypothesis tracking (MHT) algorithm which groups data based on a minimisation function.Options for the MHT algorithmParameters for the MHT algorithm, contains two serializable parameter classes, one for the MHTKernel and one for the MHTCHi2Provider.Some extra info on the chi2 algorithmsParameters for the PamMHTChi2 class.Standard MHT Chi2 provider manages the StandardMHTChi2 calculators associated with each possible track.Holds information on a track possibilitySimple class for holding a few bits of information on the track
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Classes in clickTrainDetector.clickTrainAlgorithms.mht used by clickTrainDetector.clickTrainAlgorithms.mht.electricalNoiseFilterClassDescriptionThe chi^2 calculator for the MHTKernal.Holds information on a track possibility
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Classes in clickTrainDetector.clickTrainAlgorithms.mht used by clickTrainDetector.clickTrainAlgorithms.mht.mhtMATClassDescriptionCore functions for a multi-hypothesis tracking (MHT) algorithm which groups data based on a minimisation function.Parameters for the PamMHTChi2 class.Standard MHT Chi2 provider manages the StandardMHTChi2 calculators associated with each possible track.
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Classes in clickTrainDetector.clickTrainAlgorithms.mht used by clickTrainDetector.clickTrainAlgorithms.mht.testClassDescriptionCore functions for a multi-hypothesis tracking (MHT) algorithm which groups data based on a minimisation function.
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Classes in clickTrainDetector.clickTrainAlgorithms.mht used by clickTrainDetector.layout.mhtClassDescriptionParameters class must extend this.A click train algorithm based on a multi-hypothesis tracker (MHT) which groups data based on a minimisation function.Parameters for the MHT algorithm, contains two serializable parameter classes, one for the MHTKernel and one for the MHTCHi2Provider.Parameters for the PamMHTChi2 class.