OpenCVForUnity.DnnModule.SegmentationModel Class Reference

This class represents high-level API for segmentation models. More...

Inheritance diagram for OpenCVForUnity.DnnModule.SegmentationModel:

Public Member Functions
	SegmentationModel (string model, string config)
	Create segmentation model from network represented in one of the supported formats. An order of model and config arguments does not matter. More...
	SegmentationModel (string model)
	Create segmentation model from network represented in one of the supported formats. An order of model and config arguments does not matter. More...
	SegmentationModel (Net network)
	Create model from deep learning network. More...
void	segment (Mat frame, Mat mask)
	Given the input frame, create input blob, run net. More...
Public Member Functions inherited from OpenCVForUnity.DnnModule.Model
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 new SegmentationModel	__fromPtr__ (IntPtr addr)
Static Public Member Functions inherited from OpenCVForUnity.DnnModule.Model
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 represents high-level API for segmentation models.

SegmentationModel allows to set params for preprocessing input image. SegmentationModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and returns the class prediction for each pixel.

Constructor & Destructor Documentation

SegmentationModel() [1/3]

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

Create segmentation model from 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.

SegmentationModel() [2/3]

OpenCVForUnity.DnnModule.SegmentationModel.SegmentationModel

(

string

model

)

Create segmentation model from 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.

SegmentationModel() [3/3]

OpenCVForUnity.DnnModule.SegmentationModel.SegmentationModel

(

Net

network

)

Create model from deep learning network.

Parameters

[in]

network

Net object.

Member Function Documentation

__fromPtr__()

static new SegmentationModel OpenCVForUnity.DnnModule.SegmentationModel.__fromPtr__ ( IntPtr  addr )

static

Dispose()

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

protectedvirtual

Reimplemented from OpenCVForUnity.DnnModule.Model.

segment()

void OpenCVForUnity.DnnModule.SegmentationModel.segment	(	Mat	frame,
		Mat	mask
	)

Given the input frame, create input blob, run net.

Parameters

[in]	frame	The input image.
[out]	mask	Allocated class prediction for each pixel

---

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

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