Object

toolkit.computervision.segmentation

MaskedGaussianSurfaceModel

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object MaskedGaussianSurfaceModel

Model the contents of a masked field as a Guassian distribution.

This algorithm functions identically to GaussianSurfaceModel, but with additional support for masks. Rather than computing the mean and covariance of the entire field, MaskedGaussianSurfaceModel computes these parameters using only information in the masked region. Probability density is still estimated for the entire field.

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  4. def apply(input: libcog.ColorField, temporalSmoothing: Float): libcog.ScalarField

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  5. def apply(input: libcog.VectorField, mask: libcog.ScalarField, temporalSmoothing: Float = 0f): libcog.ScalarField

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  6. def apply(input: libcog.ScalarField, mask: libcog.ScalarField, temporalSmoothing: Float): libcog.ScalarField

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