Class NonMaxSuppression

Represents a NonMaxSuppression object detection layer. This calculates an output tensor of selected indices of boxes from input boxes and scores tensors, and bases the indices on the scores and amount of intersection with previously selected boxes.

Inheritance

object

Layer

NonMaxSuppression

Inherited Members

Layer.inputs

Layer.name

Layer.outputs

Layer.flags

Layer.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

Namespace: Unity.Sentis.Layers

Assembly: solution.dll

Syntax

[Serializable]
public class NonMaxSuppression : Layer

Constructors

Name	Description
NonMaxSuppression(string, string, string, string, string, string, CenterPointBox)	Initializes and returns an instance of NonMaxSuppression object detection layer.

Fields

Name	Description
centerPointBox	The format in which the box data is stored in the boxes tensor as a CenterPointBox.

Methods

Name	Description
Execute(Tensor[], ExecutionContext)	Executes the layer using the operations and variables from the ExecutionContext and returns the output tensor. If the layer has more than one output, output tensors are saved to variables.