Struct tensorflow::eager::raw_ops::CombinedNonMaxSuppression

pub struct CombinedNonMaxSuppression { /* private fields */ }

CombinedNonMaxSuppression

See : https://www.tensorflow.org/api_docs/python/tf/raw_ops/CombinedNonMaxSuppression

Implementations

impl CombinedNonMaxSuppression

pub fn new() -> Self

Creates a new CombinedNonMaxSuppression.

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

Sets the pad_per_class attribute.

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

Sets the clip_boxes attribute.

pub fn target_device_name<ArgType: Into<String>>(self, value: ArgType) -> Self

Sets the `` attribute.

pub fn call<'a, T0: ToTensorHandle<'a>, T1: ToTensorHandle<'a>, T2: ToTensorHandle<'a>, T3: ToTensorHandle<'a>, T4: ToTensorHandle<'a>, T5: ToTensorHandle<'a>>( &self, ctx: &'a Context, boxes: &T0, scores: &T1, max_output_size_per_class: &T2, max_total_size: &T3, iou_threshold: &T4, score_threshold: &T5 ) -> Result<[TensorHandle<'a>; 4]>

Execute combined_non_max_suppression.

Trait Implementations

impl Clone for CombinedNonMaxSuppression

fn clone(&self) -> CombinedNonMaxSuppression

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CombinedNonMaxSuppression

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

Formats the value using the given formatter.

impl Default for CombinedNonMaxSuppression

fn default() -> Self

Returns the “default value” for a type.