cv::dnn_superres::DnnSuperResImpl Class Reference

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

#include <opencv2/dnn_superres.hpp>

Public Member Functions
	DnnSuperResImpl ()
	Empty constructor. More...
	DnnSuperResImpl (const String &algo, int scale)
	Constructor which immediately sets the desired model. More...
String	getAlgorithm ()
	Returns the scale factor of the model: More...
int	getScale ()
	Returns the scale factor of the model: More...
void	readModel (const String &path)
	Read the model from the given path. More...
void	readModel (const String &weights, const String &definition)
	Read the model from the given path. More...
void	setModel (const String &algo, int scale)
	Set desired model. More...
void	upsample (InputArray img, OutputArray result)
	Upsample via neural network. More...
void	upsampleMultioutput (InputArray img, std::vector< Mat > &imgs_new, const std::vector< int > &scale_factors, const std::vector< String > &node_names)
	Upsample via neural network of multiple outputs. More...

Static Public Member Functions
static Ptr< DnnSuperResImpl >	create ()
	Empty constructor for python. More...

Detailed Description

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

• edsr
• espcn
• fsrcnn
• lapsrn

Constructor & Destructor Documentation

DnnSuperResImpl() [1/2]

cv::dnn_superres::DnnSuperResImpl::DnnSuperResImpl

(

)

Empty constructor.

DnnSuperResImpl() [2/2]

cv::dnn_superres::DnnSuperResImpl::DnnSuperResImpl	(	const String &	algo,
		int	scale
	)

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

Member Function Documentation

create()

static Ptr<DnnSuperResImpl> cv::dnn_superres::DnnSuperResImpl::create ( )

static

Python:
	retval	=	cv.dnn_superres.DnnSuperResImpl_create(		)

Empty constructor for python.

getAlgorithm()

String cv::dnn_superres::DnnSuperResImpl::getAlgorithm

(

)

Python:
	retval	=	cv.dnn_superres_DnnSuperResImpl.getAlgorithm(		)

Returns the scale factor of the model:

Returns

Current algorithm.

getScale()

int cv::dnn_superres::DnnSuperResImpl::getScale

(

)

Python:
	retval	=	cv.dnn_superres_DnnSuperResImpl.getScale(		)

Returns the scale factor of the model:

Returns

Current scale factor.

readModel() [1/2]

void cv::dnn_superres::DnnSuperResImpl::readModel

(

const String &

path

)

Python:
	None	=	cv.dnn_superres_DnnSuperResImpl.readModel(	path	)

Read the model from the given path.

Parameters

path	Path to the model file.

readModel() [2/2]

void cv::dnn_superres::DnnSuperResImpl::readModel	(	const String &	weights,
		const String &	definition
	)

Python:
	None	=	cv.dnn_superres_DnnSuperResImpl.readModel(	path	)

Read the model from the given path.

Parameters

weights	Path to the model weights file.
definition	Path to the model definition file.

setModel()

void cv::dnn_superres::DnnSuperResImpl::setModel	(	const String &	algo,
		int	scale
	)

Python:
	None	=	cv.dnn_superres_DnnSuperResImpl.setModel(	algo, scale	)

Set desired model.

Parameters

algo	String containing one of the desired models: edsr espcn fsrcnn lapsrn
scale	Integer specifying the upscale factor

upsample()

void cv::dnn_superres::DnnSuperResImpl::upsample	(	InputArray	img,
		OutputArray	result
	)

Python:
	result	=	cv.dnn_superres_DnnSuperResImpl.upsample(	img[, result]	)

Upsample via neural network.

Parameters

img	Image to upscale
result	Destination upscaled image

upsampleMultioutput()

void cv::dnn_superres::DnnSuperResImpl::upsampleMultioutput	(	InputArray	img,
		std::vector< Mat > &	imgs_new,
		const std::vector< int > &	scale_factors,
		const std::vector< String > &	node_names
	)

Python:
	None	=	cv.dnn_superres_DnnSuperResImpl.upsampleMultioutput(	img, imgs_new, scale_factors, node_names	)

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

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The documentation for this class was generated from the following file:

• opencv2/dnn_superres.hpp