Class HOGDescriptor

constructor

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

  Parameters

  • OptionalwinSize: Size
  • OptionalblockSize: Size
  • OptionalblockStride: Size
  • OptionalcellSize: Size
  • Optionalnbins: number
  • OptionalderivAperture: number
  • OptionalwinSigma: number
  • OptionalhistogramNormType: number
  • OptionalL2HysThreshold: number
  • OptionalgammaCorrection: boolean
  • Optionalnlevels: number
  • OptionalsignedGradient: boolean

  Returns HOGDescriptor

• new HOGDescriptor(params: HOGDescriptorArgs): HOGDescriptor

  Parameters

  • params: HOGDescriptorArgs

  Returns HOGDescriptor

ReadonlyblockSize

ReadonlyblockStride

ReadonlycellSize

ReadonlyderivAperture

ReadonlygammaCorrection

ReadonlyhistogramNormType

ReadonlyL2HysThreshold

Readonlynbins

Readonlynlevels

ReadonlysignedGradient

ReadonlywinSigma

ReadonlywinSize

checkDetectorSize

• checkDetectorSize(): boolean

  Returns boolean

compute

• compute(
      img: Mat,
      winStride?: Size,
      padding?: Size,
      locations?: Point2[],
  ): number[]

  Parameters

  • img: Mat
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • Optionallocations: Point2[]

  Returns number[]

computeAsync

• computeAsync(
      img: Mat,
      winStride?: Size,
      padding?: Size,
      locations?: Point2[],
  ): Promise<number[]>

  Parameters

  • img: Mat
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • Optionallocations: Point2[]

  Returns Promise<number[]>

computeGradient

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

  Parameters

  • img: Mat
  • OptionalpaddingTL: Size
  • OptionalpaddingBR: Size

  Returns HOGDescriptorComputeGradientRet

computeGradientAsync

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

  Parameters

  • img: Mat
  • OptionalpaddingTL: Size
  • OptionalpaddingBR: Size

  Returns Promise<HOGDescriptorComputeGradientRet>

detect

• detect(
      img: Mat,
      hitThreshold?: number,
      winStride?: Size,
      padding?: Size,
      searchLocations?: Point2[],
  ): HOGDescriptorDetectRet

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • OptionalsearchLocations: Point2[]

  Returns HOGDescriptorDetectRet

detectAsync

• detectAsync(
      img: Mat,
      hitThreshold?: number,
      winStride?: Size,
      padding?: Size,
      searchLocations?: Point2[],
  ): Promise<HOGDescriptorDetectRet>

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • OptionalsearchLocations: Point2[]

  Returns Promise<HOGDescriptorDetectRet>

detectMultiScale

• detectMultiScale(
      img: Mat,
      hitThreshold?: number,
      winStride?: Size,
      padding?: Size,
      scale?: number,
      finalThreshold?: number,
      useMeanshiftGrouping?: boolean,
  ): DetectMultiScaleROIRet

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • Optionalscale: number
  • OptionalfinalThreshold: number
  • OptionaluseMeanshiftGrouping: boolean

  Returns DetectMultiScaleROIRet

detectMultiScaleAsync

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

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size
  • Optionalscale: number
  • OptionalfinalThreshold: number
  • OptionaluseMeanshiftGrouping: boolean

  Returns Promise<DetectMultiScaleROIRet>

detectMultiScaleROI

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

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalgroupThreshold: number

  Returns Rect[]

detectMultiScaleROIAsync

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

  Parameters

  • img: Mat
  • OptionalhitThreshold: number
  • OptionalgroupThreshold: number

  Returns Promise<Rect[]>

detectROI

• detectROI(
      img: Mat,
      locations: Point2[],
      hitThreshold?: number,
      winStride?: Size,
      padding?: Size,
  ): HOGDescriptorDetectROIRet

  Parameters

  • img: Mat
  • locations: Point2[]
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size

  Returns HOGDescriptorDetectROIRet

detectROIAsync

• detectROIAsync(
      img: Mat,
      locations: Point2[],
      hitThreshold?: number,
      winStride?: Size,
      padding?: Size,
  ): Promise<HOGDescriptorDetectROIRet>

  Parameters

  • img: Mat
  • locations: Point2[]
  • OptionalhitThreshold: number
  • OptionalwinStride: Size
  • Optionalpadding: Size

  Returns Promise<HOGDescriptorDetectROIRet>

groupRectangles

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

  Parameters

  • rectList: Rect[]
  • weights: number[]
  • groupThreshold: number
  • eps: number

  Returns Rect[]

groupRectanglesAsync

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

  Parameters

  • rectList: Rect[]
  • weights: number[]
  • groupThreshold: number
  • eps: number

  Returns Promise<Rect[]>

load

• load(path: string): void

  Parameters

  • path: string

  Returns void

save

• save(path: string): void

  Parameters

  • path: string

  Returns void

setSVMDetector

• setSVMDetector(detector: number[]): void

  Parameters

  • detector: number[]

  Returns void

StaticgetDaimlerPeopleDetector

• getDaimlerPeopleDetector(): number[]

  Returns number[]

StaticgetDefaultPeopleDetector

• getDefaultPeopleDetector(): number[]

  Returns number[]