Class BasicFaceRecognizer

Namespace

OpenCvSharp.Face

Assembly

OpenCvSharp.dll

base for two FaceRecognizer classes

public abstract class BasicFaceRecognizer : FaceRecognizer, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

FaceRecognizer

BasicFaceRecognizer

Implements

IDisposable

Derived

EigenFaceRecognizer

FisherFaceRecognizer

Inherited Members

FaceRecognizer.Train(IEnumerable<Mat>, IEnumerable<int>)

FaceRecognizer.Update(IEnumerable<Mat>, IEnumerable<int>)

FaceRecognizer.Predict(InputArray)

FaceRecognizer.Predict(InputArray, out int, out double)

FaceRecognizer.Predict(InputArray, PredictCollector)

FaceRecognizer.Write(string)

FaceRecognizer.Read(string)

FaceRecognizer.Write(FileStorage)

FaceRecognizer.Read(FileNode)

FaceRecognizer.SetLabelInfo(int, string)

FaceRecognizer.GetLabelInfo(int)

FaceRecognizer.GetLabelsByString(string)

Algorithm.Empty

Algorithm.Save(string)

Algorithm.GetDefaultName()

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

CvObject.SetPostReleaseAction(Action)

CvObject.Dispose()

CvObject.Dispose(bool)

CvObject.DisposeManaged()

CvObject.DisposeUnmanaged()

CvObject.ThrowIfDisposed()

CvObject.CvPtr

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Constructors

BasicFaceRecognizer(nint, nint, Action<nint>)

Methods

GetEigenValues()

Gets the eigenvalues computed during training, ordered descending.

GetEigenVectors()

Gets the eigenvectors computed during training, ordered by their eigenvalue.

GetLabels()

Gets the labels corresponding to the training data projections.

GetMean()

Gets the sample mean calculated from the training data.

GetNumComponents()

Gets the number of components (Eigenfaces or Fisherfaces) kept by the underlying PCA/LDA computation.

GetProjections()

Gets the projections of the training data.

GetThreshold()

Gets the threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, the prediction returns -1.

SetNumComponents(int)

Sets the number of components (Eigenfaces or Fisherfaces) kept by the underlying PCA/LDA computation.

SetThreshold(double)

Sets the threshold applied in the prediction. If the distance to the nearest neighbor is larger than the threshold, the prediction returns -1.