Class TextDetectionModel_EAST

Namespace

Emgu.CV.Dnn

Assembly

Emgu.CV.dll

This class represents high-level API for text detection DL networks compatible with EAST model.

public class TextDetectionModel_EAST : TextDetectionModel, IDisposable

Inheritance

object

DisposableObject

UnmanagedObject

Model

TextDetectionModel

TextDetectionModel_EAST

Implements

IDisposable

Inherited Members

TextDetectionModel._textDetectionModel

TextDetectionModel.Detect(IInputArray, VectorOfVectorOfPoint, VectorOfFloat)

TextDetectionModel.DetectTextRectangles(IInputArray, VectorOfRotatedRect, VectorOfFloat)

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

TextDetectionModel_EAST(Net)

Create text detection algorithm from deep learning network.

public TextDetectionModel_EAST(Net net)

Parameters

net Net

Dnn network

TextDetectionModel_EAST(string, string)

Create text detection model from network represented in one of the supported formats.

public TextDetectionModel_EAST(string model, string config = null)

Parameters

model string

Binary file contains trained weights.

config string

Text file contains network configuration.

Properties

ConfidenceThreshold

Confidence threshold

public float ConfidenceThreshold { get; set; }

Property Value

float

NMSThreshold

Non-maximum suppression threshold

public float NMSThreshold { get; set; }

Property Value

float

Methods

DisposeObject()

Release the memory associated with this text detection model.

protected override void DisposeObject()