OpenCVForUnity.DnnModule.DetectionModel Class Reference

This class represents high-level API for object detection networks. More...

Inheritance diagram for OpenCVForUnity.DnnModule.DetectionModel:

Public Member Functions
	DetectionModel (string model, string config)
	Create detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.
	DetectionModel (string model)
	Create detection model from network represented in one of the supported formats. An order of model and config arguments does not matter.
	DetectionModel (Net network)
	Create model from deep learning network.
DetectionModel	setNmsAcrossClasses (bool value)
	nmsAcrossClasses defaults to false, such that when non max suppression is used during the detect() function, it will do so per-class. This function allows you to toggle this behaviour.
bool	getNmsAcrossClasses ()
	Getter for nmsAcrossClasses. This variable defaults to false, such that when non max suppression is used during the detect() function, it will do so only per-class.
void	detect (Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes, float confThreshold, float nmsThreshold)
	Given the input frame, create input blob, run net and return result detections.
void	detect (Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes, float confThreshold)
	Given the input frame, create input blob, run net and return result detections.
void	detect (Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes)
	Given the input frame, create input blob, run net and return result detections.
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.
	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 (Net network)
	Create model from deep learning network.
Model	setInputSize (Size size)
	Set input size for frame.
Model	setInputSize (int width, int height)
Model	setInputMean (Scalar mean)
	Set mean value for frame.
Model	setInputScale (Scalar scale)
	Set scalefactor value for frame.
Model	setInputCrop (bool crop)
	Set flag crop for frame.
Model	setInputSwapRB (bool swapRB)
	Set flag swapRB for frame.
Model	setOutputNames (List< string > outNames)
	Set output names for frame.
void	setInputParams (double scale, Size size, Scalar mean, bool swapRB, bool crop)
	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)
	Set preprocessing parameters for frame.
void	setInputParams (double scale, Size size)
	Set preprocessing parameters for frame.
void	setInputParams (double scale)
	Set preprocessing parameters for frame.
void	setInputParams ()
	Set preprocessing parameters for frame.
void	predict (Mat frame, List< Mat > outs)
	Given the input frame, create input blob, run net and return the output blobs.
Model	setPreferableBackend (int backendId)
Model	setPreferableTarget (int targetId)
Model	enableWinograd (bool useWinograd)
Model	setInputSize (in Vec2d size)
	Set input size for frame.
Model	setInputMean (in Vec4d mean)
	Set mean value for frame.
Model	setInputScale (in Vec4d scale)
	Set scalefactor value 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 Vec2d size, in Vec4d mean, bool swapRB)
	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)
	Set preprocessing parameters for frame.
Model	setInputSize (in(double width, double height) size)
	Set input size for frame.
Model	setInputMean (in(double v0, double v1, double v2, double v3) mean)
	Set mean value for frame.
Model	setInputScale (in(double v0, double v1, double v2, double v3) scale)
	Set scalefactor value 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, 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)
	Set preprocessing parameters for frame.
void	setInputParams (double scale, in(double width, double height) size)
	Set preprocessing parameters for frame.
Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()
void	ThrowIfDisposed ()

Static Public Member Functions
static new DetectionModel	__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.DnnModule.Model
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
Package Functions inherited from OpenCVForUnity.DnnModule.Model
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed [get, protected set]
bool	IsEnabledDispose [get, set]

Detailed Description

This class represents high-level API for object detection networks.

DetectionModel allows to set params for preprocessing input image. DetectionModel creates net from file with trained weights and config, sets preprocessing input, runs forward pass and return result detections. For DetectionModel SSD, Faster R-CNN, YOLO topologies are supported.

Constructor & Destructor Documentation

DetectionModel() [1/3]

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

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

DetectionModel() [2/3]

OpenCVForUnity.DnnModule.DetectionModel.DetectionModel

(

string

model

)

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

DetectionModel() [3/3]

OpenCVForUnity.DnnModule.DetectionModel.DetectionModel

(

Net

network

)

Create model from deep learning network.

Member Function Documentation

__fromPtr__()

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

static

detect() [1/3]

void OpenCVForUnity.DnnModule.DetectionModel.detect	(	Mat	frame,
		MatOfInt	classIds,
		MatOfFloat	confidences,
		MatOfRect	boxes )

Given the input frame, create input blob, run net and return result detections.

detect() [2/3]

void OpenCVForUnity.DnnModule.DetectionModel.detect	(	Mat	frame,
		MatOfInt	classIds,
		MatOfFloat	confidences,
		MatOfRect	boxes,
		float	confThreshold )

Given the input frame, create input blob, run net and return result detections.

detect() [3/3]

void OpenCVForUnity.DnnModule.DetectionModel.detect	(	Mat	frame,
		MatOfInt	classIds,
		MatOfFloat	confidences,
		MatOfRect	boxes,
		float	confThreshold,
		float	nmsThreshold )

Given the input frame, create input blob, run net and return result detections.

Dispose()

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

protectedvirtual

Reimplemented from OpenCVForUnity.DisposableObject.

getNmsAcrossClasses()

bool OpenCVForUnity.DnnModule.DetectionModel.getNmsAcrossClasses

(

)

Getter for nmsAcrossClasses. This variable defaults to false, such that when non max suppression is used during the detect() function, it will do so only per-class.

setNmsAcrossClasses()

DetectionModel OpenCVForUnity.DnnModule.DetectionModel.setNmsAcrossClasses

(

bool

value

)

nmsAcrossClasses defaults to false, such that when non max suppression is used during the detect() function, it will do so per-class. This function allows you to toggle this behaviour.

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

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