Base class for text detection networks. More...

Inheritance diagram for OpenCVForUnity.DnnModule.TextDetectionModel:

Public Member Functions
void	detect (Mat frame, List< MatOfPoint > detections, MatOfFloat confidences)
	Performs detection. More...

void	detect (Mat frame, List< MatOfPoint > detections)

void	detectTextRectangles (Mat frame, MatOfRotatedRect detections, MatOfFloat confidences)
	Performs detection. More...

void	detectTextRectangles (Mat frame, MatOfRotatedRect 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. 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 TextDetectionModel	__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

Base class for text detection networks.

Member Function Documentation

◆ fromPtr()

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

static

◆ detect() [1/2]

void OpenCVForUnity.DnnModule.TextDetectionModel.detect	(	Mat	frame,
		List< MatOfPoint >	detections,
		MatOfFloat	confidences
	)

Performs detection.

Given the input frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is quadrangle's 4 points in this order:

bottom-left
top-left
top-right
bottom-right

Use cv::getPerspectiveTransform function to retrieve image region without perspective transformations.

Note: If DL model doesn't support that kind of output then result may be derived from detectTextRectangles() output.

Parameters

[in]	frame	The input image
[out]	detections	array with detections' quadrangles (4 points per result)
[out]	confidences	array with detection confidences

◆ detect() [2/2]

void OpenCVForUnity.DnnModule.TextDetectionModel.detect	(	Mat	frame,
		List< MatOfPoint >	detections
	)

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

◆ detectTextRectangles() [1/2]

void OpenCVForUnity.DnnModule.TextDetectionModel.detectTextRectangles	(	Mat	frame,
		MatOfRotatedRect	detections,
		MatOfFloat	confidences
	)

Performs detection.

Given the input frame, prepare network input, run network inference, post-process network output and return result detections.

Each result is rotated rectangle.

Note: Result may be inaccurate in case of strong perspective transformations.

Parameters

[in]	frame	the input image
[out]	detections	array with detections' RotationRect results
[out]	confidences	array with detection confidences

◆ detectTextRectangles() [2/2]

void OpenCVForUnity.DnnModule.TextDetectionModel.detectTextRectangles	(	Mat	frame,
		MatOfRotatedRect	detections
	)

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

◆ Dispose()

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

protectedvirtual

Reimplemented from OpenCVForUnity.DnnModule.Model.

Reimplemented in OpenCVForUnity.DnnModule.TextDetectionModel_DB, and OpenCVForUnity.DnnModule.TextDetectionModel_EAST.

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

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/dnn/TextDetectionModel.cs

Public Member Functions

Static Public Member Functions

Protected Member Functions

Additional Inherited Members