OpenCV for Unity 2.6.5
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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Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [Simonyan14]. More...
Public Member Functions | |
override string | getDefaultName () |
float | getScaleFactor () |
float | getSigma () |
bool | getUseNormalizeDescriptor () |
bool | getUseNormalizeImage () |
bool | getUseScaleOrientation () |
void | setScaleFactor (float scale_factor) |
void | setSigma (float isigma) |
void | setUseNormalizeDescriptor (bool dsc_normalize) |
void | setUseNormalizeImage (bool img_normalize) |
void | setUseScaleOrientation (bool use_scale_orientation) |
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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. | |
void | read (string fileName) |
void | write (string fileName) |
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virtual void | clear () |
Clears the algorithm state. | |
IntPtr | getNativeObjAddr () |
void | save (string filename) |
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void | Dispose () |
void | ThrowIfDisposed () |
Static Public Member Functions | |
static new VGG | __fromPtr__ (IntPtr addr) |
static VGG | create () |
static VGG | create (int desc) |
static VGG | create (int desc, float isigma) |
static VGG | create (int desc, float isigma, bool img_normalize) |
static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation) |
static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation, float scale_factor) |
static VGG | create (int desc, float isigma, bool img_normalize, bool use_scale_orientation, float scale_factor, bool dsc_normalize) |
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static new Feature2D | __fromPtr__ (IntPtr addr) |
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static Algorithm | __fromPtr__ (IntPtr addr) |
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static IntPtr | ThrowIfNullIntPtr (IntPtr ptr) |
Protected Member Functions | |
override void | Dispose (bool disposing) |
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DisposableOpenCVObject () | |
DisposableOpenCVObject (bool isEnabledDispose) | |
DisposableOpenCVObject (IntPtr ptr) | |
DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose) | |
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DisposableObject () | |
DisposableObject (bool isEnabledDispose) | |
Additional Inherited Members | |
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bool | IsDisposed [get, protected set] |
bool | IsEnabledDispose [get, set] |
Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [Simonyan14].
desc type of descriptor to use, VGG::VGG_120 is default (120 dimensions float) Available types are VGG::VGG_120, VGG::VGG_80, VGG::VGG_64, VGG::VGG_48 isigma gaussian kernel value for image blur (default is 1.4f) img_normalize use image sample intensity normalization (enabled by default) use_orientation sample patterns using keypoints orientation, enabled by default scale_factor adjust the sampling window of detected keypoints to 64.0f (VGG sampling window) 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio
dsc_normalize clamp descriptors to 255 and convert to uchar CV_8UC1 (disabled by default)
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Reimplemented from OpenCVForUnity.Features2dModule.Feature2D.
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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.Features2dModule.Feature2D.
float OpenCVForUnity.Xfeatures2dModule.VGG.getScaleFactor | ( | ) |
float OpenCVForUnity.Xfeatures2dModule.VGG.getSigma | ( | ) |
bool OpenCVForUnity.Xfeatures2dModule.VGG.getUseNormalizeDescriptor | ( | ) |
bool OpenCVForUnity.Xfeatures2dModule.VGG.getUseNormalizeImage | ( | ) |
bool OpenCVForUnity.Xfeatures2dModule.VGG.getUseScaleOrientation | ( | ) |
void OpenCVForUnity.Xfeatures2dModule.VGG.setScaleFactor | ( | float | scale_factor | ) |
void OpenCVForUnity.Xfeatures2dModule.VGG.setSigma | ( | float | isigma | ) |
void OpenCVForUnity.Xfeatures2dModule.VGG.setUseNormalizeDescriptor | ( | bool | dsc_normalize | ) |
void OpenCVForUnity.Xfeatures2dModule.VGG.setUseNormalizeImage | ( | bool | img_normalize | ) |
void OpenCVForUnity.Xfeatures2dModule.VGG.setUseScaleOrientation | ( | bool | use_scale_orientation | ) |