Class DnnSuperResImpl

Namespace

OpenCvSharp.DnnSuperres

Assembly

OpenCvSharp.dll

A class to upscale images via convolutional neural networks. The following four models are implemented:

• edsr
• espcn
• fsrcnn
• lapsrn

public class DnnSuperResImpl : CvObject, IDisposable

Inheritance

object

CvObject

DnnSuperResImpl

Implements

IDisposable

Inherited Members

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

DnnSuperResImpl()

Default constructor

DnnSuperResImpl(nint)

Constructor (backward compatibility). Wraps the pointer in a non-owning SafeHandle. Derived classes that own the native resource should call SetSafeHandle(OpenCvSafeHandle) to replace it with an owning handle.

DnnSuperResImpl(string, int)

Constructor which immediately sets the desired model

Methods

GetAlgorithm()

Returns the scale factor of the model

GetScale()

Returns the scale factor of the model

ReadModel(string)

Read the model from the given path

ReadModel(string, string)

Read the model from the given path

SetModel(string, int)

Set desired model

SetPreferableBackend(Backend)

Ask network to use specific computation backend where it supported.

SetPreferableTarget(Target)

Ask network to make computations on specific target device.

Upsample(InputArray, OutputArray)

Upsample via neural network

UpsampleMultioutput(InputArray, out Mat[], IEnumerable<int>, IEnumerable<string>)

Upsample via neural network of multiple outputs