OpenCV for Unity 2.6.4
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.10.0/index.html ) for the details of the argument of the method.
Loading...
Searching...
No Matches
OpenCVForUnity.DnnModule.TextDetectionModel Class Reference

Base class for text detection networks. More...

Public Member Functions

void detect (Mat frame, List< MatOfPoint > detections)
 
void detect (Mat frame, List< MatOfPoint > detections, MatOfFloat confidences)
 Performs detection.
 
void detectTextRectangles (Mat frame, MatOfRotatedRect detections)
 
void detectTextRectangles (Mat frame, MatOfRotatedRect detections, MatOfFloat confidences)
 Performs detection.
 
- Public Member Functions inherited from OpenCVForUnity.DnnModule.Model
 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 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.DnnModule.Model
- 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 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

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 )

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

◆ detect() [2/2]

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.

◆ detectTextRectangles() [1/2]

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.

◆ detectTextRectangles() [2/2]

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.

◆ Dispose()

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

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