Struct tensorflow::ops::SampleDistortedBoundingBoxV2

pub struct SampleDistortedBoundingBoxV2 { /* private fields */ }

Builder for the SampleDistortedBoundingBoxV2 operation.

Implementations

impl SampleDistortedBoundingBoxV2

pub fn new() -> Self

Creates a new SampleDistortedBoundingBoxV2.

pub fn T<ArgType: Into<DataType>>(self, value: ArgType) -> Self

Sets the T attribute.

pub fn seed<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed attribute.

pub fn seed2<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the seed2 attribute.

pub fn aspect_ratio_range<ArgType: Into<Vec<f32>>>(self, value: ArgType) -> Self

Sets the aspect_ratio_range attribute.

pub fn area_range<ArgType: Into<Vec<f32>>>(self, value: ArgType) -> Self

Sets the area_range attribute.

pub fn max_attempts<ArgType: Into<i64>>(self, value: ArgType) -> Self

Sets the max_attempts attribute.

pub fn use_image_if_no_bounding_boxes<ArgType: Into<bool>>( self, value: ArgType ) -> Self

Sets the use_image_if_no_bounding_boxes attribute.

pub fn add_control_input(self, op: Operation) -> Self

Adds a control input.

pub fn build<O0: Into<Output>, O1: Into<Output>, O2: Into<Output>>( &self, image_size: O0, bounding_boxes: O1, min_object_covered: O2, scope: &mut Scope ) -> Result<Operation>

Builds the SampleDistortedBoundingBoxV2 operation.

pub fn build_instance( &self, image_size: Output, bounding_boxes: Output, min_object_covered: Output, scope: &mut Scope ) -> Result<SampleDistortedBoundingBoxV2Inst>

Builds a new instance of ‘SampleDistortedBoundingBoxV2’ Operation with it’s Outputs and Inputs exposed as methods.

Trait Implementations

impl Debug for SampleDistortedBoundingBoxV2

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for SampleDistortedBoundingBoxV2

fn default() -> SampleDistortedBoundingBoxV2

Returns the “default value” for a type.