This class is presented high-level API for neural networks. More...

Public Member Functions
	Model (Net network)
	Create model from deep learning network.

	Model (string model)
	Create model from deep learning network represented in one of the supported formats. An order of `model` and `config` arguments does not matter.

	Model (string model, string config)
	Create model from deep learning network represented in one of the supported formats. An order of `model` and `config` arguments does not matter.

Model	enableWinograd (bool useWinograd)

IntPtr	getNativeObjAddr ()

void	predict (Mat frame, List< Mat > outs)
	Given the `input` frame, create input blob, run net and return the output `blobs`.

Model	setInputCrop (bool crop)
	Set flag crop for frame.

Model	setInputMean (in Vec4d mean)
	Set mean value for frame.

Model	setInputMean (in(double v0, double v1, double v2, double v3) mean)
	Set mean value for frame.

Model	setInputMean (Scalar mean)
	Set mean value for frame.

void	setInputParams ()
	Set preprocessing parameters for frame.

void	setInputParams (double scale)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in Vec2d size)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in Vec2d size, in Vec4d mean)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in Vec2d size, in Vec4d mean, bool swapRB)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in Vec2d size, in Vec4d mean, bool swapRB, bool crop)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in(double width, double height) size)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in(double width, double height) size, in(double v0, double v1, double v2, double v3) mean)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in(double width, double height) size, in(double v0, double v1, double v2, double v3) mean, bool swapRB)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, in(double width, double height) size, in(double v0, double v1, double v2, double v3) mean, bool swapRB, bool crop)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, Size size)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, Size size, Scalar mean)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, Size size, Scalar mean, bool swapRB)
	Set preprocessing parameters for frame.

void	setInputParams (double scale, Size size, Scalar mean, bool swapRB, bool crop)
	Set preprocessing parameters for frame.

Model	setInputScale (in Vec4d scale)
	Set scalefactor value for frame.

Model	setInputScale (in(double v0, double v1, double v2, double v3) scale)
	Set scalefactor value for frame.

Model	setInputScale (Scalar scale)
	Set scalefactor value for frame.

Model	setInputSize (in Vec2d size)
	Set input size for frame.

Model	setInputSize (in(double width, double height) size)
	Set input size for frame.

Model	setInputSize (int width, int height)

Model	setInputSize (Size size)
	Set input size for frame.

Model	setInputSwapRB (bool swapRB)
	Set flag swapRB for frame.

Model	setOutputNames (List< string > outNames)
	Set output names for frame.

Model	setPreferableBackend (int backendId)

Model	setPreferableTarget (int targetId)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static Model	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

This class is presented high-level API for neural networks.

Model allows to set params for preprocessing input image. Model creates net from file with trained weights and config, sets preprocessing input and runs forward pass.

Constructor & Destructor Documentation

◆ Model() [1/3]

OpenCVForUnity.DnnModule.Model.Model	(	string	model,
		string	config )

Create model from deep learning network represented in one of the supported formats. An order of model and config arguments does not matter.

Parameters

model	Binary file contains trained weights.
config	Text file contains network configuration.

◆ Model() [2/3]

OpenCVForUnity.DnnModule.Model.Model ( string model )

Create model from deep learning network represented in one of the supported formats. An order of model and config arguments does not matter.

Parameters

model	Binary file contains trained weights.
config	Text file contains network configuration.

◆ Model() [3/3]

OpenCVForUnity.DnnModule.Model.Model ( Net network )

Create model from deep learning network.

Parameters

network Net object.

Member Function Documentation

◆ fromPtr()

static Model OpenCVForUnity.DnnModule.Model.__fromPtr__ ( IntPtr addr )

static

◆ Dispose()

override void OpenCVForUnity.DnnModule.Model.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.DisposableOpenCVObject.

Reimplemented in OpenCVForUnity.DnnModule.SegmentationModel, OpenCVForUnity.DnnModule.TextDetectionModel, OpenCVForUnity.DnnModule.TextDetectionModel_DB, OpenCVForUnity.DnnModule.TextDetectionModel_EAST, and OpenCVForUnity.DnnModule.TextRecognitionModel.

◆ enableWinograd()

Model OpenCVForUnity.DnnModule.Model.enableWinograd ( bool useWinograd )

◆ getNativeObjAddr()

IntPtr OpenCVForUnity.DnnModule.Model.getNativeObjAddr ( )

◆ predict()

void OpenCVForUnity.DnnModule.Model.predict	(	Mat	frame,
		List< Mat >	outs )

Given the input frame, create input blob, run net and return the output blobs.

Parameters

frame	The input image.
outs	Allocated output blobs, which will store results of the computation.

◆ setInputCrop()

Model OpenCVForUnity.DnnModule.Model.setInputCrop ( bool crop )

Set flag crop for frame.

Parameters

crop	Flag which indicates whether image will be cropped after resize or not.

◆ setInputMean() [1/3]

Model OpenCVForUnity.DnnModule.Model.setInputMean ( in Vec4d mean )

Set mean value for frame.

Parameters

mean	Scalar with mean values which are subtracted from channels.

◆ setInputMean() [2/3]

Model OpenCVForUnity.DnnModule.Model.setInputMean ( in(double v0, double v1, double v2, double v3) mean )

Set mean value for frame.

Parameters

mean	Scalar with mean values which are subtracted from channels.

◆ setInputMean() [3/3]

Model OpenCVForUnity.DnnModule.Model.setInputMean ( Scalar mean )

Set mean value for frame.

Parameters

mean	Scalar with mean values which are subtracted from channels.