face

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Versions in this module

v0

v0.8.0

Jul 18, 2026

v0.7.0

Jul 18, 2026

v0.6.0

Jul 18, 2026

v0.5.0

Jul 16, 2026

v0.4.0

Jul 12, 2026

Changes in this version

+ const Unknown

+ var ErrVersion = errors.New("face: incompatible serialized model version")

+ func GetFacesHAAR(img *cv.Mat, params *HaarParams) []cv.Rect

+ func LBPCircular(img *cv.Mat, radius, neighbours int) *cv.Mat

+ func LBPUniformRotInvariant(img *cv.Mat) *cv.Mat

+ type BIF struct

+ func NewBIF(scales, orients, grid int) *BIF

+ func (b *BIF) Compute(img *cv.Mat) []float64

+ func (b *BIF) FeatureLength() int

type EigenFaceRecognizer

+ func (r *EigenFaceRecognizer) Dims() (rows, cols int)

+ func (r *EigenFaceRecognizer) EigenFaceImage(i int) *cv.Mat

+ func (r *EigenFaceRecognizer) EigenVector(i int) []float64

+ func (r *EigenFaceRecognizer) EigenVectors() [][]float64

+ func (r *EigenFaceRecognizer) GetThreshold() float64

+ func (r *EigenFaceRecognizer) Load(rd io.Reader) error

+ func (r *EigenFaceRecognizer) MeanFace() *cv.Mat

+ func (r *EigenFaceRecognizer) PredictCollect(img *cv.Mat) []PredictedFace

+ func (r *EigenFaceRecognizer) PredictThreshold(img *cv.Mat) (int, float64)

+ func (r *EigenFaceRecognizer) ReconstructImage(coeffs []float64) *cv.Mat

+ func (r *EigenFaceRecognizer) Save(w io.Writer) error

+ func (r *EigenFaceRecognizer) SetThreshold(t float64)

+ type FacemarkLBF struct

+ func NewFacemarkLBF(numLandmarks int) *FacemarkLBF

+ func NewFacemarkLBFParams(numLandmarks, stages, radius int) *FacemarkLBF

+ func (f *FacemarkLBF) Fit(img *cv.Mat, rect cv.Rect) []cv.Point

+ func (f *FacemarkLBF) MeanShapeAt(rect cv.Rect) []cv.Point

+ func (f *FacemarkLBF) NumLandmarks() int

+ func (f *FacemarkLBF) Train(images []*cv.Mat, rects []cv.Rect, shapes [][]cv.Point)

type FisherFaceRecognizer

+ func (r *FisherFaceRecognizer) DiscriminantAxes() [][]float64

+ func (r *FisherFaceRecognizer) FisherFaceImage(k int) *cv.Mat

+ func (r *FisherFaceRecognizer) GetThreshold() float64

+ func (r *FisherFaceRecognizer) Load(rd io.Reader) error

+ func (r *FisherFaceRecognizer) PredictCollect(img *cv.Mat) []PredictedFace

+ func (r *FisherFaceRecognizer) PredictThreshold(img *cv.Mat) (int, float64)

+ func (r *FisherFaceRecognizer) Save(w io.Writer) error

+ func (r *FisherFaceRecognizer) SetThreshold(t float64)

+ type HaarParams struct

+ MaxSize int

+ MinScore float64

+ MinSize int

+ ScaleStep float64

+ StepRatio float64

+ func DefaultHaarParams() HaarParams

type LBPHFaceRecognizer

+ func (r *LBPHFaceRecognizer) GetThreshold() float64

+ func (r *LBPHFaceRecognizer) Load(rd io.Reader) error

+ func (r *LBPHFaceRecognizer) PredictCollect(img *cv.Mat) []PredictedFace

+ func (r *LBPHFaceRecognizer) PredictThreshold(img *cv.Mat) (int, float64)

+ func (r *LBPHFaceRecognizer) Save(w io.Writer) error

+ func (r *LBPHFaceRecognizer) SetThreshold(t float64)

+ type MACE struct

+ func NewMACE(size int) *MACE

+ func (m *MACE) PSR(img *cv.Mat) float64

+ func (m *MACE) Same(img *cv.Mat) bool

+ func (m *MACE) SetThreshold(psr float64)

+ func (m *MACE) Train(images []*cv.Mat)

+ type PredictedFace struct

+ Distance float64

+ Label int

v0.3.0

Jul 12, 2026

Changes in this version

+ func LBP(img *cv.Mat) *cv.Mat

+ func LBPUniform(img *cv.Mat) *cv.Mat

+ type EigenFaceRecognizer struct

+ func NewEigenFaceRecognizer(numComponents int) *EigenFaceRecognizer

+ func (r *EigenFaceRecognizer) EigenValues() []float64

+ func (r *EigenFaceRecognizer) Mean() []float64

+ func (r *EigenFaceRecognizer) NumComponents() int

+ func (r *EigenFaceRecognizer) Predict(img *cv.Mat) (int, float64)

+ func (r *EigenFaceRecognizer) Project(img *cv.Mat) []float64

+ func (r *EigenFaceRecognizer) Reconstruct(coeffs []float64) []float64

+ func (r *EigenFaceRecognizer) Train(images []*cv.Mat, labels []int)

+ type FaceRecognizer interface

+ Predict func(img *cv.Mat) (label int, confidence float64)

+ Train func(images []*cv.Mat, labels []int)

+ type FisherFaceRecognizer struct

+ func NewFisherFaceRecognizer(numComponents int) *FisherFaceRecognizer

+ func (r *FisherFaceRecognizer) NumComponents() int

+ func (r *FisherFaceRecognizer) Predict(img *cv.Mat) (int, float64)

+ func (r *FisherFaceRecognizer) Project(img *cv.Mat) []float64

+ func (r *FisherFaceRecognizer) Train(images []*cv.Mat, labels []int)

+ type LBPHFaceRecognizer struct

+ GridX int

+ GridY int

+ Uniform bool

+ func NewLBPHFaceRecognizer() *LBPHFaceRecognizer

+ func NewLBPHFaceRecognizerWithParams(gridX, gridY int, uniform bool) *LBPHFaceRecognizer

+ func (r *LBPHFaceRecognizer) Predict(img *cv.Mat) (int, float64)

+ func (r *LBPHFaceRecognizer) Train(images []*cv.Mat, labels []int)

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