OpenCVForUnity.DnnModule.Model Class Reference

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

Inheritance diagram for OpenCVForUnity.DnnModule.Model:

Public Member Functions
IntPtr	getNativeObjAddr ()
	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. More...
	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. More...
	Model (Net network)
	Create model from deep learning network. More...
Model	setInputSize (Size size)
	Set input size for frame. More...
Model	setInputSize (int width, int height)
Model	setInputMean (Scalar mean)
	Set mean value for frame. More...
Model	setInputScale (Scalar scale)
	Set scalefactor value for frame. More...
Model	setInputCrop (bool crop)
	Set flag crop for frame. More...
Model	setInputSwapRB (bool swapRB)
	Set flag swapRB for frame. More...
void	setInputParams (double scale, Size size, Scalar mean, bool swapRB, bool crop)
	Set preprocessing parameters for frame. More...
void	setInputParams (double scale, Size size, Scalar mean, bool swapRB)
	Set preprocessing parameters for frame. More...
void	setInputParams (double scale, Size size, Scalar mean)
	Set preprocessing parameters for frame. More...
void	setInputParams (double scale, Size size)
	Set preprocessing parameters for frame. More...
void	setInputParams (double scale)
	Set preprocessing parameters for frame. More...
void	setInputParams ()
	Set preprocessing parameters for frame. More...
void	predict (Mat frame, List< Mat > outs)
	Given the input frame, create input blob, run net and return the output blobs. More...
Model	setPreferableBackend (int backendId)
Model	setPreferableTarget (int targetId)
Model	enableWinograd (bool useWinograd)
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 (IntPtr ptr)
	DisposableOpenCVObject (bool isEnabledDispose)
	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()
	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
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

[in]	model	Binary file contains trained weights.
[in]	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

[in]	model	Binary file contains trained weights.
[in]	config	Text file contains network configuration.

Model() [3/3]

OpenCVForUnity.DnnModule.Model.Model

(

Net

network

)

Create model from deep learning network.

Parameters

[in]

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

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

[in]	frame	The input image.
[out]	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

[in]

crop

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

setInputMean()

Model OpenCVForUnity.DnnModule.Model.setInputMean

(

Scalar

mean

)

Set mean value for frame.

Parameters

[in]

mean

Scalar with mean values which are subtracted from channels.

setInputParams() [1/6]

void OpenCVForUnity.DnnModule.Model.setInputParams	(	double	scale,
		Size	size,
		Scalar	mean,
		bool	swapRB,
		bool	crop
	)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputParams() [2/6]

void OpenCVForUnity.DnnModule.Model.setInputParams	(	double	scale,
		Size	size,
		Scalar	mean,
		bool	swapRB
	)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputParams() [3/6]

void OpenCVForUnity.DnnModule.Model.setInputParams	(	double	scale,
		Size	size,
		Scalar	mean
	)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputParams() [4/6]

void OpenCVForUnity.DnnModule.Model.setInputParams	(	double	scale,
		Size	size
	)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputParams() [5/6]

void OpenCVForUnity.DnnModule.Model.setInputParams

(

double

scale

)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputParams() [6/6]

void OpenCVForUnity.DnnModule.Model.setInputParams

(

)

Set preprocessing parameters for frame.

Parameters

[in]	size	New input size.
[in]	mean	Scalar with mean values which are subtracted from channels.
[in]	scale	Multiplier for frame values.
[in]	swapRB	Flag which indicates that swap first and last channels.
[in]	crop	Flag which indicates whether image will be cropped after resize or not. blob(n, c, y, x) = scale * resize( frame(y, x, c) ) - mean(c) )

setInputScale()

Model OpenCVForUnity.DnnModule.Model.setInputScale

(

Scalar

scale

)

Set scalefactor value for frame.

Parameters

[in]

scale

Multiplier for frame values.

setInputSize() [1/2]

Model OpenCVForUnity.DnnModule.Model.setInputSize

(

Size

size

)

Set input size for frame.

Parameters

[in]

size

New input size.

Note

If shape of the new blob less than 0, then frame size not change.

setInputSize() [2/2]

Model OpenCVForUnity.DnnModule.Model.setInputSize	(	int	width,
		int	height
	)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

[in]	width	New input width.
[in]	height	New input height.

setInputSwapRB()

Model OpenCVForUnity.DnnModule.Model.setInputSwapRB

(

bool

swapRB

)

Set flag swapRB for frame.

Parameters

[in]

swapRB

Flag which indicates that swap first and last channels.

setPreferableBackend()

Model OpenCVForUnity.DnnModule.Model.setPreferableBackend

(

int

backendId

)

setPreferableTarget()

Model OpenCVForUnity.DnnModule.Model.setPreferableTarget

(

int

targetId

)

---

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

• OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/dnn/Model.cs