Class DnnSuperResImpl

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

  • edsr
  • espcn
  • fsrcnn
  • lapsrn
Inheritance
System.Object
DisposableObject
DisposableCvObject
DnnSuperResImpl
Implements
Inherited Members
Namespace: OpenCvSharp.DnnSuperres
Assembly: OpenCvSharp.dll
Syntax
public class DnnSuperResImpl : DisposableCvObject, ICvPtrHolder

Constructors

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DnnSuperResImpl()

Empty constructor

Declaration
public DnnSuperResImpl()
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DnnSuperResImpl(IntPtr)

Declaration
protected DnnSuperResImpl(IntPtr ptr)
Parameters
Type Name Description
IntPtr ptr
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DnnSuperResImpl(String, Int32)

Constructor which immediately sets the desired model

Declaration
public DnnSuperResImpl(string algo, int scale)
Parameters
Type Name Description
System.String algo

String containing one of the desired models:

  • edsr
  • espcn
  • fsrcnn
  • lapsrn
System.Int32 scale

Integer specifying the upscale factor

Methods

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DisposeUnmanaged()

Declaration
protected override void DisposeUnmanaged()
Overrides
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GetAlgorithm()

Returns the scale factor of the model

Declaration
public string GetAlgorithm()
Returns
Type Description
System.String

Current algorithm.
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GetScale()

Returns the scale factor of the model

Declaration
public int GetScale()
Returns
Type Description
System.Int32

Current scale factor.
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ReadModel(String)

Read the model from the given path

Declaration
public void ReadModel(string path)
Parameters
Type Name Description
System.String path

Path to the model file.
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ReadModel(String, String)

Read the model from the given path

Declaration
public void ReadModel(string weights, string definition)
Parameters
Type Name Description
System.String weights

Path to the model weights file.
System.String definition

Path to the model definition file.
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SetModel(String, Int32)

Set desired model

Declaration
public void SetModel(string algo, int scale)
Parameters
Type Name Description
System.String algo

String containing one of the desired models:

  • edsr
  • espcn
  • fsrcnn
  • lapsrn
System.Int32 scale

Integer specifying the upscale factor
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SetPreferableBackend(Backend)

Ask network to use specific computation backend where it supported.

Declaration
public void SetPreferableBackend(Backend backendId)
Parameters
Type Name Description
Backend backendId

backend identifier.
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SetPreferableTarget(Target)

Ask network to make computations on specific target device.

Declaration
public void SetPreferableTarget(Target targetId)
Parameters
Type Name Description
Target targetId

target identifier.
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Upsample(InputArray, OutputArray)

Upsample via neural network

Declaration
public void Upsample(InputArray img, OutputArray result)
Parameters
Type Name Description
InputArray img

Image to upscale
OutputArray result

Destination upscaled image
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UpsampleMultioutput(InputArray, out Mat[], IEnumerable<Int32>, IEnumerable<String>)

Upsample via neural network of multiple outputs

Declaration
public void UpsampleMultioutput(InputArray img, out Mat[] imgsNew, IEnumerable<int> scaleFactors, IEnumerable<string> nodeNames)
Parameters
Type Name Description
InputArray img

Image to upscale
Mat[] imgsNew

Destination upscaled images
IEnumerable<System.Int32> scaleFactors

Scaling factors of the output nodes
IEnumerable<System.String> nodeNames

Names of the output nodes in the neural network

Implements