Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::BlurBaselineConfig (v0.9.1)

Version 0.9.1

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::BlurBaselineConfig.

Config for blur baseline.

When enabled, a linear path from the maximally blurred image to the input image is created. Using a blurred baseline instead of zero (black image) is motivated by the BlurIG approach explained here: https://arxiv.org/abs/2004.03383

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#max_blur_sigma

def max_blur_sigma() -> ::Float

Returns

• (::Float) — The standard deviation of the blur kernel for the blurred baseline. The same blurring parameter is used for both the height and the width dimension. If not set, the method defaults to the zero (i.e. black for images) baseline.

#max_blur_sigma=

def max_blur_sigma=(value) -> ::Float

Parameter

• value (::Float) — The standard deviation of the blur kernel for the blurred baseline. The same blurring parameter is used for both the height and the width dimension. If not set, the method defaults to the zero (i.e. black for images) baseline.

Returns

• (::Float) — The standard deviation of the blur kernel for the blurred baseline. The same blurring parameter is used for both the height and the width dimension. If not set, the method defaults to the zero (i.e. black for images) baseline.