Class ALIKED

Namespace

OpenCvSharp

Assembly

OpenCvSharp.dll

ALIKED: deep learning based local feature detector and descriptor (OpenCV 5). Runs an ONNX model through the DNN module. Requires OpenCV built with the dnn module.

public class ALIKED : Feature2D, IDisposable

Inheritance

object

CvObject

CvPtrObject

Algorithm

Feature2D

ALIKED

Implements

IDisposable

Inherited Members

Feature2D.DescriptorSize

Feature2D.DescriptorType

Feature2D.DefaultNorm

Feature2D.Empty()

Feature2D.Detect(Mat, Mat)

Feature2D.Detect(InputArray, InputArray)

Feature2D.Detect(IEnumerable<Mat>, IEnumerable<Mat>)

Feature2D.Compute(InputArray, ref KeyPoint[], OutputArray)

Feature2D.Compute(IEnumerable<Mat>, ref KeyPoint[][], IEnumerable<Mat>)

Feature2D.DetectAndCompute(InputArray, InputArray, out KeyPoint[], OutputArray, bool)

Feature2D.Write(string)

Feature2D.Read(string)

Feature2D.GetDefaultName()

Algorithm.Write(FileStorage)

Algorithm.Read(FileNode)

Algorithm.Save(string)

CvPtrObject.RawPtr

CvObject.IsDisposed

CvObject.ptr

CvObject.SetSafeHandle(OpenCvSafeHandle)

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()

Methods

Create(string, Size?, bool, int, int, int)

Creates ALIKED from a model file path.

public static ALIKED Create(string modelPath, Size? inputSize = null, bool normalizeDescriptors = true, int engine = 2, int backend = 0, int target = 0)

Parameters

modelPath string

Path to the ONNX model file.

inputSize Size?

Input image size for the network. Default is 640x640.

normalizeDescriptors bool

Whether to L2-normalize descriptors. Default is true.

engine int

DNN engine type (cv::dnn::EngineType). Default is 2 (ENGINE_NEW).

backend int

DNN backend (see Backend). Default is 0 (DEFAULT).

target int

DNN target (see Target). Default is 0 (CPU).

Returns

ALIKED

CreateFromMemory(byte[], Size?, bool, int, int, int)

Creates ALIKED from an in-memory ONNX model buffer.

public static ALIKED CreateFromMemory(byte[] modelData, Size? inputSize = null, bool normalizeDescriptors = true, int engine = 2, int backend = 0, int target = 0)

Parameters

modelData byte[]

Buffer containing the model data.

inputSize Size?

Input image size for the network. Default is 640x640.

normalizeDescriptors bool

Whether to L2-normalize descriptors. Default is true.

engine int

DNN engine type (cv::dnn::EngineType). Default is 2 (ENGINE_NEW).

backend int

DNN backend (see Backend). Default is 0 (DEFAULT).

target int

DNN target (see Target). Default is 0 (CPU).

Returns

ALIKED