Class ClassificationModel

Namespace

Emgu.CV.Dnn

Assembly

Emgu.CV.dll

This class represents high-level API for classification models.

public class ClassificationModel : Model, IDisposable

Inheritance

object

DisposableObject

UnmanagedObject

Model

ClassificationModel

Implements

IDisposable

Inherited Members

Model._model

Model.Predict(IInputArray, IOutputArrayOfArrays)

Model.SetInputScale(double)

Model.SetInputMean(MCvScalar)

Model.SetInputSize(Size)

Model.SetInputCrop(bool)

Model.SetInputSwapRB(bool)

Model.SetPreferableBackend(Backend)

Model.SetPreferableTarget(Target)

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()

Constructors

ClassificationModel(Net)

Create model from deep learning network.

public ClassificationModel(Net net)

Parameters

net Net

DNN Network

ClassificationModel(string, string)

Create a new classification model

public ClassificationModel(string model, string config = null)

Parameters

model string

Binary file contains trained weights.

config string

Text file contains network configuration.

Methods

Classify(IInputArray, out int, out float)

Given the input frame, create input blob, run net and return top-1 prediction.

public void Classify(IInputArray frame, out int classId, out float conf)

Parameters

frame IInputArray

The input image.

classId int

The top label.

conf float

The confident of the classification.

DisposeObject()

Release the memory associated with this detection model.

protected override void DisposeObject()