Class FaceRecognizer

Namespace

OpenCvSharp.Face

Assembly

OpenCvSharp.dll

Abstract base class for all face recognition models. All face recognition models in OpenCV are derived from the abstract base class FaceRecognizer, which provides a unified access to all face recongition algorithms in OpenCV.

public abstract class FaceRecognizer : Algorithm, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

FaceRecognizer

Implements

IDisposable

Derived

BasicFaceRecognizer

LBPHFaceRecognizer

Inherited Members

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

FaceRecognizer(nint, nint, Action<nint>)

Methods

GetLabelInfo(int)

Gets string information by label. If an unknown label id is provided or there is no label information associated with the specified label id the method returns an empty string.

GetLabelsByString(string)

Gets vector of labels by string. The function searches for the labels containing the specified sub-string in the associated string info.

GetThreshold()

threshold parameter accessor - required for default BestMinDist collector

Predict(InputArray)

Gets a prediction from a FaceRecognizer.

Predict(InputArray, PredictCollector)

Runs prediction and forwards every evaluated result to a collector.

Predict(InputArray, out int, out double)

Predicts the label and confidence for a given sample.

Read(FileNode)

Reads algorithm parameters from a file storage

Read(string)

Deserializes this object from a given filename.

SetLabelInfo(int, string)

Sets string info for the specified model's label. The string info is replaced by the provided value if it was set before for the specified label.

SetThreshold(double)

Sets threshold of model

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

Trains a FaceRecognizer with given data and associated labels.

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

Updates a FaceRecognizer with given data and associated labels.

Write(FileStorage)

Stores algorithm parameters in a file storage

Write(string)

Serializes this object to a given filename.