SearchPredictorFactory Class

Ctor.

Range of angles to be covered during classifier training.

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.

Feature resolution (determines the size of the classification retina) for step 3 and up.

Feature resolution (determines the size of the classification retina) for search step 1 and 2.

Invariances to be used for generating the classifier.

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.

Number of classification steps during search operation.

Preprocessing code with which the object is to be generated.

Sample size that has been used in each training set.

Range of scale factors to be covered during classifier training. Only meaningful if the invariance type RotationScaleTranslation has been set.

Range of permissible singular values to be covered during classifier training. Only meaningful if the invariance type AffineGroup has been set.

Disposes of the native data needed for marshalling.

Clean-up of managed-to-native data structures.

Determines whether the specified Object is equal to the current Object.

Finalizer - clean up the bytes occupied by the unmanaged copy of the progress data structure.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Creates a shallow copy of the current Object.

Event raiser.

Event raiser.

Event raiser.

Returns a string that represents the current object.

Create a regression predictor from a sample image list.

Create a regression predictor from a Minos Training Set.

Copy the classifier generation settings from a classifier.

Copy the predictor generation settings from a predictor.

Event that informs about the finalization of a given stage.

Event that informs about a progress step in the given stage.

Event that will be fired when a new progress stage was initiated.

Minimum classification step count.

Absolute minimum value for SampleSize.

Acceptable scale factor range for search classifier training.

Default value for the scale factor range.

Default value for the singular value range.