OpenCV for Unity 2.6.3
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.
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OpenCVForUnity.DnnModule.SegmentationModel Class Reference

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

Inheritance diagram for OpenCVForUnity.DnnModule.SegmentationModel:
OpenCVForUnity.DnnModule.Model OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableObject OpenCVForUnity.DisposableObject OpenCVForUnity.DisposableObject

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.
 
 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.
 
 SegmentationModel (Net network)
 Create model from deep learning network.
 
void segment (Mat frame, Mat mask)
 Given the input frame, create input blob, run net.
 
- 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 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.DnnModule.Model
- 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 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.

◆ 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.

◆ SegmentationModel() [3/3]

OpenCVForUnity.DnnModule.SegmentationModel.SegmentationModel ( Net network)

Create model from deep learning network.

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.


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