org.bytedeco.opencv.opencv_dnn_superres

Class DnnSuperResImpl

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.opencv.opencv_dnn_superres.DnnSuperResImpl

All Implemented Interfaces:

AutoCloseable

@Namespace(value="cv::dnn_superres")
 @NoOffset
 @Properties(inherit=opencv_dnn_superres.class)
public class DnnSuperResImpl
extends Pointer

\addtogroup dnn_superres \{

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

- edsr - espcn - fsrcnn - lapsrn

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
DnnSuperResImpl()
DnnSuperResImpl(BytePointer algo, int scale) \brief Constructor which immediately sets the desired model
DnnSuperResImpl(long size) Native array allocator.
DnnSuperResImpl(Pointer p) Pointer cast constructor.
DnnSuperResImpl(String algo, int scale)

Method Summary

Modifier and Type	Method and Description
static DnnSuperResImpl	create() \brief Empty constructor for python
BytePointer	getAlgorithm() \brief Returns the scale factor of the model:
int	getScale() \brief Returns the scale factor of the model:
DnnSuperResImpl	position(long position)
void	readModel(BytePointer path) \brief Read the model from the given path
void	readModel(BytePointer weights, BytePointer definition) \brief Read the model from the given path
void	readModel(String path)
void	readModel(String weights, String definition)
void	setModel(BytePointer algo, int scale) \brief Set desired model
void	setModel(String algo, int scale)
void	upsample(GpuMat img, GpuMat result)
void	upsample(Mat img, Mat result) \brief Upsample via neural network
void	upsample(UMat img, UMat result)
void	upsampleMultioutput(GpuMat img, MatVector imgs_new, int[] scale_factors, StringVector node_names)
void	upsampleMultioutput(GpuMat img, MatVector imgs_new, IntBuffer scale_factors, StringVector node_names)
void	upsampleMultioutput(GpuMat img, MatVector imgs_new, IntPointer scale_factors, StringVector node_names)
void	upsampleMultioutput(Mat img, MatVector imgs_new, int[] scale_factors, StringVector node_names)
void	upsampleMultioutput(Mat img, MatVector imgs_new, IntBuffer scale_factors, StringVector node_names)
void	upsampleMultioutput(Mat img, MatVector imgs_new, IntPointer scale_factors, StringVector node_names) \brief Upsample via neural network of multiple outputs
void	upsampleMultioutput(UMat img, MatVector imgs_new, int[] scale_factors, StringVector node_names)
void	upsampleMultioutput(UMat img, MatVector imgs_new, IntBuffer scale_factors, StringVector node_names)
void	upsampleMultioutput(UMat img, MatVector imgs_new, IntPointer scale_factors, StringVector node_names)

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

DnnSuperResImpl

public DnnSuperResImpl(Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

DnnSuperResImpl

public DnnSuperResImpl(long size)

Native array allocator. Access with Pointer.position(long).

DnnSuperResImpl

public DnnSuperResImpl()

DnnSuperResImpl

public DnnSuperResImpl(@opencv_core.Str
                       BytePointer algo,
                       int scale)

\brief Constructor which immediately sets the desired model

Parameters:

algo - String containing one of the desired models: - __edsr__ - __espcn__ - __fsrcnn__ - __lapsrn__

scale - Integer specifying the upscale factor

DnnSuperResImpl

public DnnSuperResImpl(@opencv_core.Str
                       String algo,
                       int scale)

Method Detail

position

public DnnSuperResImpl position(long position)

Overrides:

position in class Pointer

create

@opencv_core.Ptr
public static DnnSuperResImpl create()

\brief Empty constructor for python

readModel

public void readModel(@opencv_core.Str
                      BytePointer path)

\brief Read the model from the given path

Parameters:

path - Path to the model file.

readModel

public void readModel(@opencv_core.Str
                      String path)

readModel

public void readModel(@opencv_core.Str
                      BytePointer weights,
                      @opencv_core.Str
                      BytePointer definition)

\brief Read the model from the given path

Parameters:

weights - Path to the model weights file.

definition - Path to the model definition file.

readModel

public void readModel(@opencv_core.Str
                      String weights,
                      @opencv_core.Str
                      String definition)

setModel

public void setModel(@opencv_core.Str
                     BytePointer algo,
                     int scale)

\brief Set desired model

Parameters:

algo - String containing one of the desired models: - __edsr__ - __espcn__ - __fsrcnn__ - __lapsrn__

scale - Integer specifying the upscale factor

setModel

public void setModel(@opencv_core.Str
                     String algo,
                     int scale)

upsample

public void upsample(@ByVal
                     Mat img,
                     @ByVal
                     Mat result)

\brief Upsample via neural network

Parameters:

img - Image to upscale

result - Destination upscaled image

upsample

public void upsample(@ByVal
                     UMat img,
                     @ByVal
                     UMat result)

upsample

public void upsample(@ByVal
                     GpuMat img,
                     @ByVal
                     GpuMat result)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                Mat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntPointer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

\brief Upsample via neural network of multiple outputs

Parameters:

img - Image to upscale

imgs_new - Destination upscaled images

scale_factors - Scaling factors of the output nodes

node_names - Names of the output nodes in the neural network

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                Mat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntBuffer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                Mat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                int[] scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                UMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntPointer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                UMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntBuffer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                UMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                int[] scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                GpuMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntPointer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                GpuMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                IntBuffer scale_factors,
                                @Const @ByRef
                                StringVector node_names)

upsampleMultioutput

public void upsampleMultioutput(@ByVal
                                GpuMat img,
                                @ByRef
                                MatVector imgs_new,
                                @StdVector
                                int[] scale_factors,
                                @Const @ByRef
                                StringVector node_names)

getScale

public int getScale()

\brief Returns the scale factor of the model:

Returns:

Current scale factor.

getAlgorithm

@opencv_core.Str
public BytePointer getAlgorithm()

\brief Returns the scale factor of the model:

Returns:

Current algorithm.