DISK feature detector and descriptor, based on a DNN model. More...

Public Member Functions
override string	getDefaultName ()

Size	getImageSize ()

double double height	getImageSizeAsValueTuple ()

Vec2d	getImageSizeAsVec2d ()

int	getMaxKeypoints ()

float	getScoreThreshold ()

void	setImageSize (in Vec2d size)

void	setImageSize (in(double width, double height) size)

void	setImageSize (Size size)

void	setMaxKeypoints (int maxKeypoints)

void	setScoreThreshold (float threshold)

Public Member Functions inherited from OpenCVForUnity.FeaturesModule.Feature2D
void	compute (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > descriptors)

void	compute (Mat image, MatOfKeyPoint keypoints, Mat descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant).

int	defaultNorm ()

int	descriptorSize ()

int	descriptorType ()

void	detect (List< Mat > images, List< MatOfKeyPoint > keypoints)

void	detect (List< Mat > images, List< MatOfKeyPoint > keypoints, List< Mat > masks)

void	detect (Mat image, MatOfKeyPoint keypoints)
	Detects keypoints in an image (first variant) or image set (second variant).

void	detect (Mat image, MatOfKeyPoint keypoints, Mat mask)
	Detects keypoints in an image (first variant) or image set (second variant).

void	detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors)

void	detectAndCompute (Mat image, Mat mask, MatOfKeyPoint keypoints, Mat descriptors, bool useProvidedKeypoints)

override bool	empty ()
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.

override string	getDefaultName ()

void	read (string fileName)

void	write (string fileName)

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual void	clear ()
	Clears the algorithm state.

IntPtr	getNativeObjAddr ()

void	save (string filename)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()
	Releases resources used by this object.

void	ThrowIfDisposed ()
	Throws ObjectDisposedException if this object has been disposed.

Static Public Member Functions
static new DISK	__fromPtr__ (IntPtr addr)

static DISK	create (string modelPath)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in Vec2d imageSize)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in Vec2d imageSize, int backendId)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in Vec2d imageSize, int backendId, int targetId)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize, int backendId)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize, int backendId, int targetId)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, Size imageSize)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, Size imageSize, int backendId)
	Creates a DISK detector.

static DISK	create (string modelPath, int maxKeypoints, float scoreThreshold, Size imageSize, int backendId, int targetId)
	Creates a DISK detector.

static DISK	createFromMemory (MatOfByte bufferModel)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in Vec2d imageSize)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in Vec2d imageSize, int backendId)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in Vec2d imageSize, int backendId, int targetId)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize, int backendId)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, in(double width, double height) imageSize, int backendId, int targetId)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, Size imageSize)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, Size imageSize, int backendId)
	Creates a DISK detector from an in-memory model buffer.

static DISK	createFromMemory (MatOfByte bufferModel, int maxKeypoints, float scoreThreshold, Size imageSize, int backendId, int targetId)
	Creates a DISK detector from an in-memory model buffer.

Static Public Member Functions inherited from OpenCVForUnity.FeaturesModule.Feature2D
static new Feature2D	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)
	Returns the native pointer, or throws CoreModule.CvException if it is zero.

Public Attributes
double	width

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.FeaturesModule.Feature2D
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()
	Initializes a new instance with a zero native pointer and dispose enabled.

	DisposableOpenCVObject (bool isEnabledDispose)
	Initializes a new instance with a zero native pointer.

	DisposableOpenCVObject (IntPtr ptr)
	Initializes a new instance with the specified native pointer and dispose enabled.

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)
	Initializes a new instance with the specified native pointer.

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()
	Initializes a new instance with dispose enabled.

	DisposableObject (bool isEnabledDispose)
	Initializes a new instance.

Additional Inherited Members
Package Functions inherited from OpenCVForUnity.FeaturesModule.Feature2D
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

Detailed Description

DISK feature detector and descriptor, based on a DNN model.

DISK (Deep Image Structure and Keypoints) is a learned local-feature pipeline that produces keypoints and 128-D L2-normalized descriptors via a single forward pass through a fully convolutional network. This class wraps an ONNX export of the pre-trained DISK model through cv::dnn::Net and exposes it under the standard cv::Feature2D interface so it can be used as a drop-in alternative to SIFT/ORB.

The class assumes the ONNX model has a single input named image taking an N×3×H×W float32 tensor in [0, 1] (RGB channel order) and three outputs named keypoints (N×2), scores (N) and descriptors (N×128).

Member Function Documentation

◆ fromPtr()

static new DISK OpenCVForUnity.FeaturesModule.DISK.__fromPtr__ ( IntPtr addr )

static

◆ create() [1/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create ( string modelPath )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [2/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [3/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [4/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [5/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize,
		int	backendId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [6/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [7/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [8/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize,
		int	backendId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [9/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [10/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [11/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize,
		int	backendId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ create() [12/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.create	(	string	modelPath,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector.

Parameters

modelPath	Path to the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

◆ createFromMemory() [1/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory ( MatOfByte bufferModel )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [2/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [3/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [4/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [5/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize,
		int	backendId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [6/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in Vec2d	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [7/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [8/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize,
		int	backendId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [9/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		in(double width, double height)	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [10/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [11/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize,
		int	backendId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ createFromMemory() [12/12]

static DISK OpenCVForUnity.FeaturesModule.DISK.createFromMemory	(	MatOfByte	bufferModel,
		int	maxKeypoints,
		float	scoreThreshold,
		Size	imageSize,
		int	backendId,
		int	targetId )

static

Creates a DISK detector from an in-memory model buffer.

This overload loads the DISK ONNX model from a buffer instead of a file on disk. It is intended for cases where the model is read from application resources (for example Android assets) and is not available as a path on the filesystem.

Parameters

bufferModel	A buffer containing the contents of the DISK ONNX model.
maxKeypoints	Maximum number of keypoints to return per image. The strongest responses (by network score) are kept; -1 keeps all detections.
scoreThreshold	Discard keypoints with network score strictly below this value.
imageSize	Target input size (width, height) fed to the network. Use Size() (the default) to fall back to the network's expected fixed input shape of 1024x1024. When overriding, both dimensions must be positive multiples of 16, since DISK downsamples by a factor of 16.
backendId	DNN backend identifier (see cv::dnn::Backend); 0 = DNN_BACKEND_DEFAULT.
targetId	DNN target identifier (see cv::dnn::Target); 0 = DNN_TARGET_CPU.

Note: In C++ this is an overload of create. The Python/Java/Objective-C bindings expose it as createFromMemory, because Objective-C selectors are not disambiguated by argument type and would otherwise clash with the file-path create.

◆ Dispose()

override void OpenCVForUnity.FeaturesModule.DISK.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ getDefaultName()

override string OpenCVForUnity.FeaturesModule.DISK.getDefaultName ( )

virtual

Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ getImageSize()

Size OpenCVForUnity.FeaturesModule.DISK.getImageSize ( )

◆ getImageSizeAsValueTuple()

double double height OpenCVForUnity.FeaturesModule.DISK.getImageSizeAsValueTuple ( )

◆ getImageSizeAsVec2d()

Vec2d OpenCVForUnity.FeaturesModule.DISK.getImageSizeAsVec2d ( )

◆ getMaxKeypoints()

int OpenCVForUnity.FeaturesModule.DISK.getMaxKeypoints ( )

◆ getScoreThreshold()

float OpenCVForUnity.FeaturesModule.DISK.getScoreThreshold ( )

◆ setImageSize() [1/3]

void OpenCVForUnity.FeaturesModule.DISK.setImageSize ( in Vec2d size )

◆ setImageSize() [2/3]

void OpenCVForUnity.FeaturesModule.DISK.setImageSize ( in(double width, double height) size )

◆ setImageSize() [3/3]

void OpenCVForUnity.FeaturesModule.DISK.setImageSize ( Size size )

◆ setMaxKeypoints()

void OpenCVForUnity.FeaturesModule.DISK.setMaxKeypoints ( int maxKeypoints )

◆ setScoreThreshold()

void OpenCVForUnity.FeaturesModule.DISK.setScoreThreshold ( float threshold )

Member Data Documentation

◆ width

double OpenCVForUnity.FeaturesModule.DISK.width

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

OpenCVForUnity/Assets/OpenCVForUnity/Scripts/Core/org/opencv/features/DISK.cs
OpenCVForUnity/Assets/OpenCVForUnity/Scripts/Extensions/org/opencv/features/DISK_Struct.cs
OpenCVForUnity/Assets/OpenCVForUnity/Scripts/Extensions/org/opencv/features/DISK_ValueTuple.cs

Public Member Functions

Static Public Member Functions

Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ create() [1/12]

◆ create() [2/12]

◆ create() [3/12]

◆ create() [4/12]

◆ create() [5/12]

◆ create() [6/12]

◆ create() [7/12]

◆ create() [8/12]

◆ create() [9/12]

◆ create() [10/12]

◆ create() [11/12]

◆ create() [12/12]

◆ createFromMemory() [1/12]

◆ createFromMemory() [2/12]

◆ createFromMemory() [3/12]

◆ createFromMemory() [4/12]

◆ createFromMemory() [5/12]

◆ createFromMemory() [6/12]

◆ createFromMemory() [7/12]

◆ createFromMemory() [8/12]

◆ createFromMemory() [9/12]

◆ createFromMemory() [10/12]

◆ createFromMemory() [11/12]

◆ createFromMemory() [12/12]

◆ Dispose()

◆ getDefaultName()

◆ getImageSize()

◆ getImageSizeAsValueTuple()

◆ getImageSizeAsVec2d()

◆ getMaxKeypoints()

◆ getScoreThreshold()

◆ setImageSize() [1/3]

◆ setImageSize() [2/3]

◆ setImageSize() [3/3]

◆ setMaxKeypoints()

◆ setScoreThreshold()

Member Data Documentation

◆ width

◆ fromPtr()