RasterObjectDetectorSampleGenerator

Aids in generation and preparation of positive and negative samples to be used by the RasterObjectDetectionModelTrainer.

Typical Uses

RasterObjectDetectorSampleGenerator requires a single positive image of the object you are attempting to detect and will artificially generate a large number of samples by morphing the image source. We do not recommend this method for most users, since many times, a smaller number (for example, 100) of carefully hand-picked positive samples can result in a better detection model than a larger number (for example, 1000) of artificially generated. Therefore, to get better results we recommend RasterObjectDetectorSamplePreparer.

Configuration

Input Ports

Output Ports

Parameters

Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, click beside the applicable parameter. For more information, see Transformer Parameter Menu Options.

Defining Values

There are several ways to define a value for use in a Transformer. The simplest is to simply type in a value or string, which can include functions of various types such as attribute references, math and string functions, and workspace parameters. There are a number of tools and shortcuts that can assist in constructing values, generally available from the drop-down context menu adjacent to the value field.

Dialog Options - Tables

Transformers with table-style parameters have additional tools for populating and manipulating values.

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