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.
Public Member Functions | Static Public Member Functions | Public Attributes | Protected Member Functions | List of all members
OpenCVForUnity.Features2dModule.DescriptorMatcher Class Reference

Abstract base class for matching keypoint descriptors. More...

Inheritance diagram for OpenCVForUnity.Features2dModule.DescriptorMatcher:
OpenCVForUnity.CoreModule.Algorithm OpenCVForUnity.DisposableOpenCVObject OpenCVForUnity.DisposableObject OpenCVForUnity.Features2dModule.BFMatcher OpenCVForUnity.Features2dModule.FlannBasedMatcher

Public Member Functions

void add (List< Mat > descriptors)
 Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection. More...
 
List< MatgetTrainDescriptors ()
 Returns a constant link to the train descriptor collection trainDescCollection . More...
 
override void clear ()
 Clears the train descriptor collections. More...
 
override bool empty ()
 Returns true if there are no train descriptors in the both collections. More...
 
bool isMaskSupported ()
 Returns true if the descriptor matcher supports masking permissible matches. More...
 
void train ()
 Trains a descriptor matcher. More...
 
void match (Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask)
 Finds the best match for each descriptor from a query set. More...
 
void match (Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches)
 Finds the best match for each descriptor from a query set. More...
 
void knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k, Mat mask, bool compactResult)
 Finds the k best matches for each descriptor from a query set. More...
 
void knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k, Mat mask)
 Finds the k best matches for each descriptor from a query set. More...
 
void knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k)
 Finds the k best matches for each descriptor from a query set. More...
 
void radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance, Mat mask, bool compactResult)
 For each query descriptor, finds the training descriptors not farther than the specified distance. More...
 
void radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance, Mat mask)
 For each query descriptor, finds the training descriptors not farther than the specified distance. More...
 
void radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance)
 For each query descriptor, finds the training descriptors not farther than the specified distance. More...
 
void match (Mat queryDescriptors, MatOfDMatch matches, List< Mat > masks)
 
void match (Mat queryDescriptors, MatOfDMatch matches)
 
void knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k, List< Mat > masks, bool compactResult)
 
void knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k, List< Mat > masks)
 
void knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k)
 
void radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance, List< Mat > masks, bool compactResult)
 
void radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance, List< Mat > masks)
 
void radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance)
 
void write (string fileName)
 
void read (string fileName)
 
DescriptorMatcher clone (bool emptyTrainData)
 Clones the matcher. More...
 
DescriptorMatcher clone ()
 Clones the matcher. More...
 
- Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
IntPtr getNativeObjAddr ()
 
void save (string filename)
 
virtual string getDefaultName ()
 
- Public Member Functions inherited from OpenCVForUnity.DisposableObject
void Dispose ()
 
void ThrowIfDisposed ()
 

Static Public Member Functions

static new DescriptorMatcher __fromPtr__ (IntPtr addr)
 
static DescriptorMatcher create (string descriptorMatcherType)
 Creates a descriptor matcher of a given type with the default parameters (using default constructor). More...
 
static DescriptorMatcher create (int matcherType)
 
- 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)
 

Public Attributes

const int FLANNBASED = 1
 
const int BRUTEFORCE = 2
 
const int BRUTEFORCE_L1 = 3
 
const int BRUTEFORCE_HAMMING = 4
 
const int BRUTEFORCE_HAMMINGLUT = 5
 
const int BRUTEFORCE_SL2 = 6
 

Protected Member Functions

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

Abstract base class for matching keypoint descriptors.

It has two groups of match methods: for matching descriptors of an image with another image or with an image set.

Member Function Documentation

◆ __fromPtr__()

static new DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.__fromPtr__ ( IntPtr  addr)
static

◆ add()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.add ( List< Mat descriptors)

Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

If the collection is not empty, the new descriptors are added to existing train descriptors.

Parameters
descriptorsDescriptors to add. Each descriptors[i] is a set of descriptors from the same train image.

◆ clear()

override void OpenCVForUnity.Features2dModule.DescriptorMatcher.clear ( )
virtual

Clears the train descriptor collections.

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ clone() [1/2]

DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.clone ( bool  emptyTrainData)

Clones the matcher.

Parameters
emptyTrainDataIf emptyTrainData is false, the method creates a deep copy of the object, that is, copies both parameters and train data. If emptyTrainData is true, the method creates an object copy with the current parameters but with empty train data.

◆ clone() [2/2]

DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.clone ( )

Clones the matcher.

Parameters
emptyTrainDataIf emptyTrainData is false, the method creates a deep copy of the object, that is, copies both parameters and train data. If emptyTrainData is true, the method creates an object copy with the current parameters but with empty train data.

◆ create() [1/2]

static DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.create ( string  descriptorMatcherType)
static

Creates a descriptor matcher of a given type with the default parameters (using default constructor).

Parameters
descriptorMatcherTypeDescriptor matcher type. Now the following matcher types are supported:
  • BruteForce (it uses L2 )
  • BruteForce-L1
  • BruteForce-Hamming
  • BruteForce-Hamming(2)
  • FlannBased

◆ create() [2/2]

static DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.create ( int  matcherType)
static

◆ Dispose()

override void OpenCVForUnity.Features2dModule.DescriptorMatcher.Dispose ( bool  disposing)
protectedvirtual

◆ empty()

override bool OpenCVForUnity.Features2dModule.DescriptorMatcher.empty ( )
virtual

Returns true if there are no train descriptors in the both collections.

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ getTrainDescriptors()

List<Mat> OpenCVForUnity.Features2dModule.DescriptorMatcher.getTrainDescriptors ( )

Returns a constant link to the train descriptor collection trainDescCollection .

◆ isMaskSupported()

bool OpenCVForUnity.Features2dModule.DescriptorMatcher.isMaskSupported ( )

Returns true if the descriptor matcher supports masking permissible matches.

◆ knnMatch() [1/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
int  k,
Mat  mask,
bool  compactResult 
)

Finds the k best matches for each descriptor from a query set.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
maskMask specifying permissible matches between an input query and train matrices of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

◆ knnMatch() [2/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
int  k,
Mat  mask 
)

Finds the k best matches for each descriptor from a query set.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
maskMask specifying permissible matches between an input query and train matrices of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

◆ knnMatch() [3/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
int  k 
)

Finds the k best matches for each descriptor from a query set.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
maskMask specifying permissible matches between an input query and train matrices of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

◆ knnMatch() [4/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
int  k,
List< Mat masks,
bool  compactResult 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ knnMatch() [5/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
int  k,
List< Mat masks 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ knnMatch() [6/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
int  k 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesMatches. Each matches[i] is k or less matches for the same query descriptor.
kCount of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ match() [1/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match ( Mat  queryDescriptors,
Mat  trainDescriptors,
MatOfDMatch  matches,
Mat  mask 
)

Finds the best match for each descriptor from a query set.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
matchesMatches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
maskMask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

◆ match() [2/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match ( Mat  queryDescriptors,
Mat  trainDescriptors,
MatOfDMatch  matches 
)

Finds the best match for each descriptor from a query set.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
matchesMatches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
maskMask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

◆ match() [3/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match ( Mat  queryDescriptors,
MatOfDMatch  matches,
List< Mat masks 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesMatches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].

◆ match() [4/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match ( Mat  queryDescriptors,
MatOfDMatch  matches 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesMatches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].

◆ radiusMatch() [1/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
float  maxDistance,
Mat  mask,
bool  compactResult 
)

For each query descriptor, finds the training descriptors not farther than the specified distance.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
matchesFound matches.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
maskMask specifying permissible matches between an input query and train matrices of descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

◆ radiusMatch() [2/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
float  maxDistance,
Mat  mask 
)

For each query descriptor, finds the training descriptors not farther than the specified distance.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
matchesFound matches.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
maskMask specifying permissible matches between an input query and train matrices of descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

◆ radiusMatch() [3/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
Mat  trainDescriptors,
List< MatOfDMatch matches,
float  maxDistance 
)

For each query descriptor, finds the training descriptors not farther than the specified distance.

Parameters
queryDescriptorsQuery set of descriptors.
trainDescriptorsTrain set of descriptors. This set is not added to the train descriptors collection stored in the class object.
matchesFound matches.
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
maskMask specifying permissible matches between an input query and train matrices of descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

◆ radiusMatch() [4/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
float  maxDistance,
List< Mat masks,
bool  compactResult 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesFound matches.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ radiusMatch() [5/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
float  maxDistance,
List< Mat masks 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesFound matches.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ radiusMatch() [6/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch ( Mat  queryDescriptors,
List< MatOfDMatch matches,
float  maxDistance 
)

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

Parameters
queryDescriptorsQuery set of descriptors.
matchesFound matches.
maxDistanceThreshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
masksSet of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
compactResultParameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

◆ read()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.read ( string  fileName)

◆ train()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.train ( )

Trains a descriptor matcher.

Trains a descriptor matcher (for example, the flann index). In all methods to match, the method train() is run every time before matching. Some descriptor matchers (for example, BruteForceMatcher) have an empty implementation of this method. Other matchers really train their inner structures (for example, FlannBasedMatcher trains flann::Index ).

◆ write()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.write ( string  fileName)

Member Data Documentation

◆ BRUTEFORCE

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE = 2

◆ BRUTEFORCE_HAMMING

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_HAMMING = 4

◆ BRUTEFORCE_HAMMINGLUT

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_HAMMINGLUT = 5

◆ BRUTEFORCE_L1

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_L1 = 3

◆ BRUTEFORCE_SL2

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_SL2 = 6

◆ FLANNBASED

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.FLANNBASED = 1

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