Class HOGDescriptor

constructor

• new HOGDescriptor(winSize?, blockSize?, blockStride?, cellSize?, nbins?, derivAperture?, winSigma?, histogramNormType?, L2HysThreshold?, gammaCorrection?, nlevels?, signedGradient?): HOGDescriptor

• Parameters

  • Optional winSize: Size

  • Optional blockSize: Size

  • Optional blockStride: Size

  • Optional cellSize: Size

  • Optional nbins: number

  • Optional derivAperture: number

  • Optional winSigma: number

  • Optional histogramNormType: number

  • Optional L2HysThreshold: number

  • Optional gammaCorrection: boolean

  • Optional nlevels: number

  • Optional signedGradient: boolean

  Returns HOGDescriptor

• new HOGDescriptor(params): HOGDescriptor

• Parameters

  • params: HOGDescriptorArgs

  Returns HOGDescriptor

Readonly L2HysThreshold

Readonly blockSize

Readonly blockStride

Readonly cellSize

Readonly derivAperture

Readonly gammaCorrection

Readonly histogramNormType

Readonly nbins

Readonly nlevels

Readonly signedGradient

Readonly winSigma

Readonly winSize

checkDetectorSize

• checkDetectorSize(): boolean

• Returns boolean

compute

• compute(img, winStride?, padding?, locations?): number[]

• Parameters

  • img: Mat

  • Optional winStride: Size

  • Optional padding: Size

  • Optional locations: Point2[]

  Returns number[]

computeAsync

• computeAsync(img, winStride?, padding?, locations?): Promise<number[]>

• Parameters

  • img: Mat

  • Optional winStride: Size

  • Optional padding: Size

  • Optional locations: Point2[]

  Returns Promise<number[]>

computeGradient

• computeGradient(img, paddingTL?, paddingBR?): HOGDescriptorComputeGradientRet

• Parameters

  • img: Mat

  • Optional paddingTL: Size

  • Optional paddingBR: Size

  Returns HOGDescriptorComputeGradientRet

computeGradientAsync

• computeGradientAsync(img, paddingTL?, paddingBR?): Promise<HOGDescriptorComputeGradientRet>

• Parameters

  • img: Mat

  • Optional paddingTL: Size

  • Optional paddingBR: Size

  Returns Promise<HOGDescriptorComputeGradientRet>

detect

• detect(img, hitThreshold?, winStride?, padding?, searchLocations?): HOGDescriptorDetectRet

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  • Optional searchLocations: Point2[]

  Returns HOGDescriptorDetectRet

detectAsync

• detectAsync(img, hitThreshold?, winStride?, padding?, searchLocations?): Promise<HOGDescriptorDetectRet>

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  • Optional searchLocations: Point2[]

  Returns Promise<HOGDescriptorDetectRet>

detectMultiScale

• detectMultiScale(img, hitThreshold?, winStride?, padding?, scale?, finalThreshold?, useMeanshiftGrouping?): DetectMultiScaleROIRet

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  • Optional scale: number

  • Optional finalThreshold: number

  • Optional useMeanshiftGrouping: boolean

  Returns DetectMultiScaleROIRet

detectMultiScaleAsync

• detectMultiScaleAsync(img, hitThreshold?, winStride?, padding?, scale?, finalThreshold?, useMeanshiftGrouping?): Promise<DetectMultiScaleROIRet>

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  • Optional scale: number

  • Optional finalThreshold: number

  • Optional useMeanshiftGrouping: boolean

  Returns Promise<DetectMultiScaleROIRet>

detectMultiScaleROI

• detectMultiScaleROI(img, hitThreshold?, groupThreshold?): Rect[]

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional groupThreshold: number

  Returns Rect[]

detectMultiScaleROIAsync

• detectMultiScaleROIAsync(img, hitThreshold?, groupThreshold?): Promise<Rect[]>

• Parameters

  • img: Mat

  • Optional hitThreshold: number

  • Optional groupThreshold: number

  Returns Promise<Rect[]>

detectROI

• detectROI(img, locations, hitThreshold?, winStride?, padding?): HOGDescriptorDetectROIRet

• Parameters

  • img: Mat

  • locations: Point2[]

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  Returns HOGDescriptorDetectROIRet

detectROIAsync

• detectROIAsync(img, locations, hitThreshold?, winStride?, padding?): Promise<HOGDescriptorDetectROIRet>

• Parameters

  • img: Mat

  • locations: Point2[]

  • Optional hitThreshold: number

  • Optional winStride: Size

  • Optional padding: Size

  Returns Promise<HOGDescriptorDetectROIRet>

groupRectangles

• groupRectangles(rectList, weights, groupThreshold, eps): Rect[]

• Parameters

  • rectList: Rect[]

  • weights: number[]

  • groupThreshold: number

  • eps: number

  Returns Rect[]

groupRectanglesAsync

• groupRectanglesAsync(rectList, weights, groupThreshold, eps): Promise<Rect[]>

• Parameters

  • rectList: Rect[]

  • weights: number[]

  • groupThreshold: number

  • eps: number

  Returns Promise<Rect[]>

load

• load(path): void

• Parameters

  • path: string

  Returns void

save

• save(path): void

• Parameters

  • path: string

  Returns void

setSVMDetector

• setSVMDetector(detector): void

• Parameters

  • detector: number[]

  Returns void

Static getDaimlerPeopleDetector

• getDaimlerPeopleDetector(): number[]

• Returns number[]

Static getDefaultPeopleDetector

• getDefaultPeopleDetector(): number[]

• Returns number[]