Factory class for the generation of search predictors.
Inheritance Hierarchy
Stemmer.Cvb.Polimago.TrainingPredictorFactoryBase
Stemmer.Cvb.Polimago.TrainingSearchPredictorFactory
Namespace: Stemmer.Cvb.Polimago.Training
Assembly: Stemmer.Cvb.Polimago (in Stemmer.Cvb.Polimago.dll) Version: 14.0.0.0
Syntax
The SearchPredictorFactory type exposes the following members.
Constructors
Name | Description | |
---|---|---|
SearchPredictorFactory |
Ctor.
|
Properties
Name | Description | |
---|---|---|
AngleRange |
Range of angles to be covered during classifier training.
| |
ExtractionRadius |
Radius for extracting positive search instances. The unit size is the
size of the feature window, i.e. a value of 0.5 means that positive
samples can be extracted from withing a range of +/- Feature Window
Width and +/- Feature Window Height around each trained instance.
Smaller values will necessitate a finer search grid but may yield
better results on difficult search tasks.
| |
FeatureResolutionRest |
Feature resolution (determines the size of the classification
retina) for step 3 and up.
| |
FeatureResolutionStep1And2 |
Feature resolution (determines the size of the classification
retina) for search step 1 and 2.
| |
Invariances |
Invariances to be used for generating the classifier.
| |
Lambda |
Regularization value to be used for generating the object. Possible
values range from 0 to 10, good starting values for experiments are
usually around 0.01.
(Inherited from PredictorFactoryBase.) | |
NumClassificationSteps |
Number of classification steps during search operation.
| |
Preprocessing |
Preprocessing code with which the object is to be generated.
(Inherited from PredictorFactoryBase.) | |
SampleSize |
Sample size that has been used in each training set.
| |
ScaleRange |
Range of scale factors to be covered during classifier training.
Only meaningful if the invariance type
RotationScaleTranslation has been set.
| |
SingularValueRange |
Range of permissible singular values to be covered during classifier
training. Only meaningful if the invariance type
AffineGroup has been set.
|
Methods
Name | Description | |
---|---|---|
Dispose |
Disposes of the native data needed for marshalling.
(Inherited from PredictorFactoryBase.) | |
Dispose(Boolean) |
Clean-up of managed-to-native data structures.
(Inherited from PredictorFactoryBase.) | |
Equals | (Inherited from Object.) | |
Finalize |
Finalizer - clean up the bytes occupied by the unmanaged copy of the
progress data structure.
(Inherited from PredictorFactoryBase.) | |
GetHashCode | Serves as a hash function for a particular type. (Inherited from Object.) | |
GetType | Gets the Type of the current instance. (Inherited from Object.) | |
MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) | |
OnEndProgressReport |
Event raiser.
(Inherited from PredictorFactoryBase.) | |
OnProgressReport |
Event raiser.
(Inherited from PredictorFactoryBase.) | |
OnStartProgressReport |
Event raiser.
(Inherited from PredictorFactoryBase.) | |
ToString | Returns a string that represents the current object. (Inherited from Object.) | |
TrainPredictor(SampleRegressionImageList) |
Create a regression predictor from a sample image list.
| |
TrainPredictor(TrainingSet) |
Create a regression predictor from a Minos Training Set.
| |
UseSettingsFromPredictor(PredictorBase) |
Copy the classifier generation settings from a classifier.
(Inherited from PredictorFactoryBase.) | |
UseSettingsFromPredictor(SearchPredictor) |
Copy the predictor generation settings from a predictor.
|
Events
Name | Description | |
---|---|---|
EndProgressReport |
Event that informs about the finalization of a given stage.
(Inherited from PredictorFactoryBase.) | |
ProgressReport |
Event that informs about a progress step in the given stage.
(Inherited from PredictorFactoryBase.) | |
StartProgressReport |
Event that will be fired when a new progress stage was initiated.
(Inherited from PredictorFactoryBase.) |
Fields
Name | Description | |
---|---|---|
NumClassificationStepsMin |
Minimum classification step count.
| |
SampleSizeMin |
Absolute minimum value for SampleSize.
| |
ScaleFactorRange |
Acceptable scale factor range for search classifier training.
| |
ScaleFactorRangeDefault |
Default value for the scale factor range.
| |
SingularValueRangeDefault |
Default value for the singular value range.
|
See Also