OpenCV for Unity  2.6.0
Enox Software / Please refer to OpenCV official document ( http://docs.opencv.org/4.9.0/index.html ) for the details of the argument of the method.
Public Member Functions | Static Public Member Functions | Protected Member Functions | List of all members
OpenCVForUnity.DnnModule.DetectionModel Class Reference

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

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

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. More...
 
 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. More...
 
 DetectionModel (Net network)
 Create model from deep learning network. More...
 
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. More...
 
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. More...
 
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. More...
 
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. More...
 
void detect (Mat frame, MatOfInt classIds, MatOfFloat confidences, MatOfRect boxes)
 Given the input frame, create input blob, run net and return result detections. 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 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

- 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.

Parameters
[in]modelBinary file contains trained weights.
[in]configText file contains network configuration.

◆ 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.

Parameters
[in]modelBinary file contains trained weights.
[in]configText file contains network configuration.

◆ DetectionModel() [3/3]

OpenCVForUnity.DnnModule.DetectionModel.DetectionModel ( Net  network)

Create model from deep learning network.

Parameters
[in]networkNet object.

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,
float  confThreshold,
float  nmsThreshold 
)

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

Parameters
[in]frameThe input image.
[out]classIdsClass indexes in result detection.
[out]confidencesA set of corresponding confidences.
[out]boxesA set of bounding boxes.
[in]confThresholdA threshold used to filter boxes by confidences.
[in]nmsThresholdA threshold used in non maximum suppression.

◆ 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.

Parameters
[in]frameThe input image.
[out]classIdsClass indexes in result detection.
[out]confidencesA set of corresponding confidences.
[out]boxesA set of bounding boxes.
[in]confThresholdA threshold used to filter boxes by confidences.
[in]nmsThresholdA threshold used in non maximum suppression.

◆ detect() [3/3]

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.

Parameters
[in]frameThe input image.
[out]classIdsClass indexes in result detection.
[out]confidencesA set of corresponding confidences.
[out]boxesA set of bounding boxes.
[in]confThresholdA threshold used to filter boxes by confidences.
[in]nmsThresholdA threshold used in non maximum suppression.

◆ Dispose()

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

◆ 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.

Parameters
[in]valueThe new value for nmsAcrossClasses

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