HOGDescriptor Class Reference


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:_histogramNormType:_L2HysThreshold:_gammaCorrection:_nlevels:_signedGradient:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma
                      _histogramNormType:(HistogramNormType)_histogramNormType
                         _L2HysThreshold:(double)_L2HysThreshold
                        _gammaCorrection:(BOOL)_gammaCorrection
                                _nlevels:(int)_nlevels
                         _signedGradient:(BOOL)_signedGradient;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double, _histogramNormType: HistogramNormType, _L2HysThreshold: Double, _gammaCorrection: Bool, _nlevels: Int32, _signedGradient: Bool)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.
`_histogramNormType`	sets histogramNormType with given value.
`_L2HysThreshold`	sets L2HysThreshold with given value.
`_gammaCorrection`	sets gammaCorrection with given value.
`_nlevels`	sets nlevels with given value.
`_signedGradient`	sets signedGradient with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:_histogramNormType:_L2HysThreshold:_gammaCorrection:_nlevels:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma
                      _histogramNormType:(HistogramNormType)_histogramNormType
                         _L2HysThreshold:(double)_L2HysThreshold
                        _gammaCorrection:(BOOL)_gammaCorrection
                                _nlevels:(int)_nlevels;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double, _histogramNormType: HistogramNormType, _L2HysThreshold: Double, _gammaCorrection: Bool, _nlevels: Int32)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.
`_histogramNormType`	sets histogramNormType with given value.
`_L2HysThreshold`	sets L2HysThreshold with given value.
`_gammaCorrection`	sets gammaCorrection with given value.
`_nlevels`	sets nlevels with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:_histogramNormType:_L2HysThreshold:_gammaCorrection:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma
                      _histogramNormType:(HistogramNormType)_histogramNormType
                         _L2HysThreshold:(double)_L2HysThreshold
                        _gammaCorrection:(BOOL)_gammaCorrection;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double, _histogramNormType: HistogramNormType, _L2HysThreshold: Double, _gammaCorrection: Bool)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.
`_histogramNormType`	sets histogramNormType with given value.
`_L2HysThreshold`	sets L2HysThreshold with given value.
`_gammaCorrection`	sets gammaCorrection with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:_histogramNormType:_L2HysThreshold:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma
                      _histogramNormType:(HistogramNormType)_histogramNormType
                         _L2HysThreshold:(double)_L2HysThreshold;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double, _histogramNormType: HistogramNormType, _L2HysThreshold: Double)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.
`_histogramNormType`	sets histogramNormType with given value.
`_L2HysThreshold`	sets L2HysThreshold with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:_histogramNormType:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma
                      _histogramNormType:(HistogramNormType)_histogramNormType;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double, _histogramNormType: HistogramNormType)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.
`_histogramNormType`	sets histogramNormType with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:_winSigma:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture
                               _winSigma:(double)_winSigma;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32, _winSigma: Double)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.
`_winSigma`	sets winSigma with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:_derivAperture:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins
                          _derivAperture:(int)_derivAperture;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32, _derivAperture: Int32)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.
`_derivAperture`	sets derivAperture with given value.


                    
                    
                    -initWith_winSize:_blockSize:_blockStride:_cellSize:_nbins:

Declaration

Objective-C

- (nonnull instancetype)initWith_winSize:(nonnull Size2i *)_winSize
                              _blockSize:(nonnull Size2i *)_blockSize
                            _blockStride:(nonnull Size2i *)_blockStride
                               _cellSize:(nonnull Size2i *)_cellSize
                                  _nbins:(int)_nbins;

Swift

init(_winSize: Size2i, _blockSize: Size2i, _blockStride: Size2i, _cellSize: Size2i, _nbins: Int32)

Parameters

`_winSize`	sets winSize with given value.
`_blockSize`	sets blockSize with given value.
`_blockStride`	sets blockStride with given value.
`_cellSize`	sets cellSize with given value.
`_nbins`	sets nbins with given value.


                    
                    
                    -initWithFilename:

Declaration

Objective-C

- (nonnull instancetype)initWithFilename:(nonnull NSString *)filename;

Swift

init(filename: String)

Parameters


                                filename

The file name containing HOGDescriptor properties and coefficients for the linear SVM classifier.


                    
                    
                    -init

Creates the HOG descriptor and detector with default params.

 aqual to HOGDescriptor(Size(64,128), Size(16,16), Size(8,8), Size(8,8), 9 )

Declaration

Objective-C

- (nonnull instancetype)init;

Swift

init()


                    
                    
                    -checkDetectorSize

Checks if detector size equal to descriptor size.

Declaration

Objective-C

- (BOOL)checkDetectorSize;

Swift

func checkDetectorSize() -> Bool


                    
                    
                    -load:objname:

loads HOGDescriptor parameters and coefficients for the linear SVM classifier from a file.

Declaration

Objective-C

- (BOOL)load:(nonnull NSString *)filename objname:(nonnull NSString *)objname;

Swift

func load(filename: String, objname: String) -> Bool

Parameters

`filename`	Path of the file to read.
`objname`	The optional name of the node to read (if empty, the first top-level node will be used).


                    
                    
                    -load:

loads HOGDescriptor parameters and coefficients for the linear SVM classifier from a file.

Declaration

Objective-C

- (BOOL)load:(nonnull NSString *)filename;

Swift

func load(filename: String) -> Bool

Parameters


                                filename

Path of the file to read.


                    
                    
                    -getWinSigma

Returns winSigma value

Declaration

Objective-C

- (double)getWinSigma;

Swift

func getWinSigma() -> Double


                    
                    
                    -getDescriptorSize

Returns the number of coefficients required for the classification.

Declaration

Objective-C

- (size_t)getDescriptorSize;

Swift

func getDescriptorSize() -> Int


                    
                    
                    +getDaimlerPeopleDetector

Returns coefficients of the classifier trained for people detection (for 48x96 windows).

Declaration

Objective-C

+ (nonnull FloatVector *)getDaimlerPeopleDetector;

Swift

class func getDaimlerPeopleDetector() -> FloatVector


                    
                    
                    +getDefaultPeopleDetector

Returns coefficients of the classifier trained for people detection (for 64x128 windows).

Declaration

Objective-C

+ (nonnull FloatVector *)getDefaultPeopleDetector;

Swift

class func getDefaultPeopleDetector() -> FloatVector


                    
                    
                    -compute:descriptors:winStride:padding:locations:

Computes HOG descriptors of given image.

Declaration

Objective-C

- (void)compute:(nonnull Mat *)img
    descriptors:(nonnull FloatVector *)descriptors
      winStride:(nonnull Size2i *)winStride
        padding:(nonnull Size2i *)padding
      locations:(nonnull NSArray<Point2i *> *)locations;

Swift

func compute(img: Mat, descriptors: FloatVector, winStride: Size2i, padding: Size2i, locations: [Point2i])

Parameters

`img`	Matrix of the type CV_8U containing an image where HOG features will be calculated.
`descriptors`	Matrix of the type CV_32F
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding
`locations`	Vector of Point


                    
                    
                    -compute:descriptors:winStride:padding:

Computes HOG descriptors of given image.

Declaration

Objective-C

- (void)compute:(nonnull Mat *)img
    descriptors:(nonnull FloatVector *)descriptors
      winStride:(nonnull Size2i *)winStride
        padding:(nonnull Size2i *)padding;

Swift

func compute(img: Mat, descriptors: FloatVector, winStride: Size2i, padding: Size2i)

Parameters

`img`	Matrix of the type CV_8U containing an image where HOG features will be calculated.
`descriptors`	Matrix of the type CV_32F
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding


                    
                    
                    -compute:descriptors:winStride:

Computes HOG descriptors of given image.

Declaration

Objective-C

- (void)compute:(nonnull Mat *)img
    descriptors:(nonnull FloatVector *)descriptors
      winStride:(nonnull Size2i *)winStride;

Swift

func compute(img: Mat, descriptors: FloatVector, winStride: Size2i)

Parameters

`img`	Matrix of the type CV_8U containing an image where HOG features will be calculated.
`descriptors`	Matrix of the type CV_32F
`winStride`	Window stride. It must be a multiple of block stride.


                    
                    
                    -compute:descriptors:

Computes HOG descriptors of given image.

Declaration

Objective-C

- (void)compute:(nonnull Mat *)img
    descriptors:(nonnull FloatVector *)descriptors;

Swift

func compute(img: Mat, descriptors: FloatVector)

Parameters

`img`	Matrix of the type CV_8U containing an image where HOG features will be calculated.
`descriptors`	Matrix of the type CV_32F


                    
                    
                    -computeGradient:grad:angleOfs:paddingTL:paddingBR:

Computes gradients and quantized gradient orientations.

Declaration

Objective-C

- (void)computeGradient:(nonnull Mat *)img
                   grad:(nonnull Mat *)grad
               angleOfs:(nonnull Mat *)angleOfs
              paddingTL:(nonnull Size2i *)paddingTL
              paddingBR:(nonnull Size2i *)paddingBR;

Swift

func computeGradient(img: Mat, grad: Mat, angleOfs: Mat, paddingTL: Size2i, paddingBR: Size2i)

Parameters

`img`	Matrix contains the image to be computed
`grad`	Matrix of type CV_32FC2 contains computed gradients
`angleOfs`	Matrix of type CV_8UC2 contains quantized gradient orientations
`paddingTL`	Padding from top-left
`paddingBR`	Padding from bottom-right


                    
                    
                    -computeGradient:grad:angleOfs:paddingTL:

Computes gradients and quantized gradient orientations.

Declaration

Objective-C

- (void)computeGradient:(nonnull Mat *)img
                   grad:(nonnull Mat *)grad
               angleOfs:(nonnull Mat *)angleOfs
              paddingTL:(nonnull Size2i *)paddingTL;

Swift

func computeGradient(img: Mat, grad: Mat, angleOfs: Mat, paddingTL: Size2i)

Parameters

`img`	Matrix contains the image to be computed
`grad`	Matrix of type CV_32FC2 contains computed gradients
`angleOfs`	Matrix of type CV_8UC2 contains quantized gradient orientations
`paddingTL`	Padding from top-left


                    
                    
                    -computeGradient:grad:angleOfs:

Computes gradients and quantized gradient orientations.

Declaration

Objective-C

- (void)computeGradient:(nonnull Mat *)img
                   grad:(nonnull Mat *)grad
               angleOfs:(nonnull Mat *)angleOfs;

Swift

func computeGradient(img: Mat, grad: Mat, angleOfs: Mat)

Parameters

`img`	Matrix contains the image to be computed
`grad`	Matrix of type CV_32FC2 contains computed gradients
`angleOfs`	Matrix of type CV_8UC2 contains quantized gradient orientations


                    
                    
                    -detect:foundLocations:weights:hitThreshold:winStride:padding:searchLocations:

Performs object detection without a multi-scale window.

Declaration

Objective-C

- (void)detect:(nonnull Mat *)img
     foundLocations:(nonnull NSMutableArray<Point2i *> *)foundLocations
            weights:(nonnull DoubleVector *)weights
       hitThreshold:(double)hitThreshold
          winStride:(nonnull Size2i *)winStride
            padding:(nonnull Size2i *)padding
    searchLocations:(nonnull NSArray<Point2i *> *)searchLocations;

Swift

func detect(img: Mat, foundLocations: NSMutableArray, weights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i, searchLocations: [Point2i])

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of point where each point contains left-top corner point of detected object boundaries.
`weights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding
`searchLocations`	Vector of Point includes set of requested locations to be evaluated.


                    
                    
                    -detect:foundLocations:weights:hitThreshold:winStride:padding:

Performs object detection without a multi-scale window.

Declaration

Objective-C

- (void)detect:(nonnull Mat *)img
    foundLocations:(nonnull NSMutableArray<Point2i *> *)foundLocations
           weights:(nonnull DoubleVector *)weights
      hitThreshold:(double)hitThreshold
         winStride:(nonnull Size2i *)winStride
           padding:(nonnull Size2i *)padding;

Swift

func detect(img: Mat, foundLocations: NSMutableArray, weights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of point where each point contains left-top corner point of detected object boundaries.
`weights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding


                    
                    
                    -detect:foundLocations:weights:hitThreshold:winStride:

Performs object detection without a multi-scale window.

Declaration

Objective-C

- (void)detect:(nonnull Mat *)img
    foundLocations:(nonnull NSMutableArray<Point2i *> *)foundLocations
           weights:(nonnull DoubleVector *)weights
      hitThreshold:(double)hitThreshold
         winStride:(nonnull Size2i *)winStride;

Swift

func detect(img: Mat, foundLocations: NSMutableArray, weights: DoubleVector, hitThreshold: Double, winStride: Size2i)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of point where each point contains left-top corner point of detected object boundaries.
`weights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.


                    
                    
                    -detect:foundLocations:weights:hitThreshold:

Performs object detection without a multi-scale window.

Declaration

Objective-C

- (void)detect:(nonnull Mat *)img
    foundLocations:(nonnull NSMutableArray<Point2i *> *)foundLocations
           weights:(nonnull DoubleVector *)weights
      hitThreshold:(double)hitThreshold;

Swift

func detect(img: Mat, foundLocations: NSMutableArray, weights: DoubleVector, hitThreshold: Double)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of point where each point contains left-top corner point of detected object boundaries.
`weights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.


                    
                    
                    -detect:foundLocations:weights:

Performs object detection without a multi-scale window.

Declaration

Objective-C

- (void)detect:(nonnull Mat *)img
    foundLocations:(nonnull NSMutableArray<Point2i *> *)foundLocations
           weights:(nonnull DoubleVector *)weights;

Swift

func detect(img: Mat, foundLocations: NSMutableArray, weights: DoubleVector)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of point where each point contains left-top corner point of detected object boundaries.
`weights`	Vector that will contain confidence values for each detected object. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:winStride:padding:scale:finalThreshold:useMeanshiftGrouping:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold
               winStride:(nonnull Size2i *)winStride
                 padding:(nonnull Size2i *)padding
                   scale:(double)scale
          finalThreshold:(double)finalThreshold
    useMeanshiftGrouping:(BOOL)useMeanshiftGrouping;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i, scale: Double, finalThreshold: Double, useMeanshiftGrouping: Bool)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding
`scale`	Coefficient of the detection window increase.
`finalThreshold`	Final threshold
`useMeanshiftGrouping`	indicates grouping algorithm


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:winStride:padding:scale:finalThreshold:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold
               winStride:(nonnull Size2i *)winStride
                 padding:(nonnull Size2i *)padding
                   scale:(double)scale
          finalThreshold:(double)finalThreshold;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i, scale: Double, finalThreshold: Double)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding
`scale`	Coefficient of the detection window increase.
`finalThreshold`	Final threshold


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:winStride:padding:scale:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold
               winStride:(nonnull Size2i *)winStride
                 padding:(nonnull Size2i *)padding
                   scale:(double)scale;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i, scale: Double)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding
`scale`	Coefficient of the detection window increase.


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:winStride:padding:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold
               winStride:(nonnull Size2i *)winStride
                 padding:(nonnull Size2i *)padding;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double, winStride: Size2i, padding: Size2i)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.
`padding`	Padding


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:winStride:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold
               winStride:(nonnull Size2i *)winStride;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double, winStride: Size2i)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.
`winStride`	Window stride. It must be a multiple of block stride.


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:hitThreshold:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights
            hitThreshold:(double)hitThreshold;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector, hitThreshold: Double)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object.
`hitThreshold`	Threshold for the distance between features and SVM classifying plane. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.


                    
                    
                    -detectMultiScale:foundLocations:foundWeights:

Detects objects of different sizes in the input image. The detected objects are returned as a list of rectangles.

Declaration

Objective-C

- (void)detectMultiScale:(nonnull Mat *)img
          foundLocations:(nonnull NSMutableArray<Rect2i *> *)foundLocations
            foundWeights:(nonnull DoubleVector *)foundWeights;

Swift

func detectMultiScale(img: Mat, foundLocations: NSMutableArray, foundWeights: DoubleVector)

Parameters

`img`	Matrix of the type CV_8U or CV_8UC3 containing an image where objects are detected.
`foundLocations`	Vector of rectangles where each rectangle contains the detected object.
`foundWeights`	Vector that will contain confidence values for each detected object. Usually it is 0 and should be specified in the detector coefficients (as the last free coefficient). But if the free coefficient is omitted (which is allowed), you can specify it manually here.


                    
                    
                    -save:objname:

saves HOGDescriptor parameters and coefficients for the linear SVM classifier to a file

Declaration

Objective-C

- (void)save:(nonnull NSString *)filename objname:(nonnull NSString *)objname;

Swift

func save(filename: String, objname: String)

Parameters

`filename`	File name
`objname`	Object name


                    
                    
                    -save:

saves HOGDescriptor parameters and coefficients for the linear SVM classifier to a file

Declaration

Objective-C

- (void)save:(nonnull NSString *)filename;

Swift

func save(filename: String)

Parameters


                                filename

File name


                    
                    
                    -setSVMDetector:

Sets coefficients for the linear SVM classifier.

Declaration

Objective-C

- (void)setSVMDetector:(nonnull Mat *)svmdetector;

Swift

func setSVMDetector(svmdetector: Mat)

Parameters


                                svmdetector

coefficients for the linear SVM classifier.


                    
                    
                    winSize

Declaration

Objective-C

@property (readonly) Size2i* winSize

Swift

var winSize: Size2i { get }


                    
                    
                    blockSize

Declaration

Objective-C

@property (readonly) Size2i* blockSize

Swift

var blockSize: Size2i { get }


                    
                    
                    blockStride

Declaration

Objective-C

@property (readonly) Size2i* blockStride

Swift

var blockStride: Size2i { get }


                    
                    
                    cellSize

Declaration

Objective-C

@property (readonly) Size2i* cellSize

Swift

var cellSize: Size2i { get }


                    
                    
                    nbins

Declaration

Objective-C

@property (readonly) int nbins

Swift

var nbins: Int32 { get }


                    
                    
                    derivAperture

Declaration

Objective-C

@property (readonly) int derivAperture

Swift

var derivAperture: Int32 { get }


                    
                    
                    winSigma

Declaration

Objective-C

@property (readonly) double winSigma

Swift

var winSigma: Double { get }


                    
                    
                    histogramNormType

Declaration

Objective-C

@property (readonly) HistogramNormType histogramNormType

Swift

var histogramNormType: HistogramNormType { get }


                    
                    
                    L2HysThreshold

Declaration

Objective-C

@property (readonly) double L2HysThreshold

Swift

var l2HysThreshold: Double { get }


                    
                    
                    gammaCorrection

Declaration

Objective-C

@property (readonly) BOOL gammaCorrection

Swift

var gammaCorrection: Bool { get }


                    
                    
                    svmDetector

Declaration

Objective-C

@property (readonly) FloatVector* svmDetector

Swift

var svmDetector: FloatVector { get }


                    
                    
                    nlevels

Declaration

Objective-C

@property (readonly) int nlevels

Swift

var nlevels: Int32 { get }


                    
                    
                    signedGradient

Declaration

Objective-C

@property (readonly) BOOL signedGradient

Swift

var signedGradient: Bool { get }

HOGDescriptor

Class Constants

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