ClassifierFactory Class

Construct a learner and initialize it with an image list.

Decision boundary setting to be used for learning the classifier.

Defines/gets the approach to be taken to additional instance generation during the learning phase.

Preprocessing code to be used for the learning phase; valid preprocessing codes consist of characters 'a' and 'p' (or an empty string); the length of the preprocessing code should be compatible with the image list's feature window geometry (this will be checked when the Learn(SampleImageList, Double) method is invoked).

Gets/Sets the limit of the range of rotation to be used for automatic temporary instance generation during the learning phase. Rotations may range from -RotationRange to +RotationRange during the learning phase. Note that the actual number of rotations generated during the learning phase depends on the setting of the SamplesPerImage property. RotationRange is measured in degrees. If the rotation range set through this property is bigger than what the SIL provided for learning allows, the maximum allowable rotation will be used during learning.

Defines how many samples should be used per sample inside the SampleImageList during classifier generation. Setting this property to a value > 1 will lead to additional temporary images being generated during the learning phase based on the settings of the properties InstanceGeneration, Symmetries, RotationRange and TranslationRange.

Gets or sets whether the images from the SampleImageList property should be mirror on the X axis during learning.

Gets/Sets the limit of the range of translation to be used for automatic temporary instance generation during the learning phase. Translations may range from -TranslationRange to +TranslationRange during the learning phase. Note that the actual number of translations generated during the learning phase depends on the setting of the SamplesPerImage property. TranslationRange is measured in pixels. If the translation range set through this property is bigger than what the SIL provided for learning allows, the maximum allowable translation will be used during learning.

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

Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection.

Serves as a hash function for a particular type.

Gets the Type of the current instance.

Learn a new classifier from a SampleImageList using the currently set parameters.

Creates a shallow copy of the current Object.

Returns a string that represents the current object.

Event that will inform about the progress of an ongoing learn operation.

Default decision boundary the leaner will use.

The default type of instance generation that the learner uses.

Default preprocessing code used by the learner.

Default rotation range used by the learner.

The default number of samples per image the learner uses.

Default setting for Symmetries that the learner uses.

Default translation range used by the learner.