Class ObjectnessBING

Namespace

Emgu.CV.Saliency

Assembly

Emgu.CV.dll

Objectness algorithms based on [3] [3] Cheng, Ming-Ming, et al. "BING: Binarized normed gradients for objectness estimation at 300fps." IEEE CVPR. 2014

public class ObjectnessBING : UnmanagedObject, IDisposable, IObjectness, ISaliency, IAlgorithm

Inheritance

object

DisposableObject

UnmanagedObject

ObjectnessBING

Implements

IDisposable

IObjectness

ISaliency

IAlgorithm

Inherited Members

UnmanagedObject._ptr

UnmanagedObject.Ptr

DisposableObject.Dispose()

DisposableObject.ReleaseManagedResources()

object.GetType()

object.MemberwiseClone()

object.ToString()

object.Equals(object)

object.Equals(object, object)

object.ReferenceEquals(object, object)

object.GetHashCode()

Extension Methods

AlgorithmExtensions.Clear(IAlgorithm)

AlgorithmExtensions.GetDefaultName(IAlgorithm)

AlgorithmExtensions.IsEmpty(IAlgorithm)

AlgorithmExtensions.Load(IAlgorithm, string, string, string)

AlgorithmExtensions.LoadFromString(IAlgorithm, string, string, string)

AlgorithmExtensions.Read(IAlgorithm, FileNode)

AlgorithmExtensions.Save(IAlgorithm, string)

AlgorithmExtensions.SaveToString(IAlgorithm, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage, string)

AlgorithmExtensions.Write(IAlgorithm, FileStorage)

SaliencyInvoke.Compute(ISaliency, IInputArray, IOutputArray)

Constructors

ObjectnessBING()

constructor

public ObjectnessBING()

Properties

AlgorithmPtr

Pointer to the unmanaged Algorithm object

public nint AlgorithmPtr { get; }

Property Value

nint

NSS

NSS

public int NSS { get; set; }

Property Value

int

ObjectnessPtr

Pointer to the unmanaged Objectness object

public nint ObjectnessPtr { get; }

Property Value

nint

SaliencyPtr

Pointer to the unmanaged Saliency object

public nint SaliencyPtr { get; }

Property Value

nint

W

W

public int W { get; set; }

Property Value

int

Methods

DisposeObject()

Release the unmanaged memory associated with this object

protected override void DisposeObject()

GetObjectnessValues()

Return the list of the rectangles' objectness value.

public float[] GetObjectnessValues()

Returns

float[]

The list of the rectangles' objectness value.

SetTrainingPath(string)

set the correct path from which the algorithm will load the trained model.

public void SetTrainingPath(string trainingPath)

Parameters

trainingPath string

The training path