Variable imageConst

Type declaration

• cropAndResize: ((image, boxes, boxInd, cropSize, method?, extrapolationValue?) => Tensor4D)

  • • (image, boxes, boxInd, cropSize, method?, extrapolationValue?): Tensor4D

    • Parameters

      • image: TensorLike | Tensor4D

      • boxes: TensorLike | Tensor2D

      • boxInd: TensorLike | Tensor1D

      • cropSize: [number, number]

      • Optional method: "bilinear" | "nearest"

      • Optional extrapolationValue: number

      Returns Tensor4D

• flipLeftRight: ((image) => Tensor4D)

  • • (image): Tensor4D

    • Parameters

      • image: TensorLike | Tensor4D

      Returns Tensor4D

• grayscaleToRGB: (<T>(image) => T)

  • • <T>(image): T

    • Type Parameters

      • T extends Tensor2D | Tensor3D | Tensor4D | Tensor5D | Tensor6D

      Parameters

      • image: TensorLike | T

      Returns T

• nonMaxSuppression: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?) => Tensor1D)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?): Tensor1D

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      Returns Tensor1D

• nonMaxSuppressionAsync: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?) => Promise<Tensor1D>)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?): Promise<Tensor1D>

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      Returns Promise<Tensor1D>

• nonMaxSuppressionPadded: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, padToMaxOutputSize?) => NamedTensorMap)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, padToMaxOutputSize?): NamedTensorMap

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      • Optional padToMaxOutputSize: boolean

      Returns NamedTensorMap

• nonMaxSuppressionPaddedAsync: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, padToMaxOutputSize?) => Promise<NamedTensorMap>)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, padToMaxOutputSize?): Promise<NamedTensorMap>

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      • Optional padToMaxOutputSize: boolean

      Returns Promise<NamedTensorMap>

• nonMaxSuppressionWithScore: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, softNmsSigma?) => NamedTensorMap)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, softNmsSigma?): NamedTensorMap

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      • Optional softNmsSigma: number

      Returns NamedTensorMap

• nonMaxSuppressionWithScoreAsync: ((boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, softNmsSigma?) => Promise<NamedTensorMap>)

  • • (boxes, scores, maxOutputSize, iouThreshold?, scoreThreshold?, softNmsSigma?): Promise<NamedTensorMap>

    • Parameters

      • boxes: TensorLike | Tensor2D

      • scores: TensorLike | Tensor1D

      • maxOutputSize: number

      • Optional iouThreshold: number

      • Optional scoreThreshold: number

      • Optional softNmsSigma: number

      Returns Promise<NamedTensorMap>

• resizeBilinear: (<T_2>(images, size, alignCorners?, halfPixelCenters?) => T_2)

  • • <T_2>(images, size, alignCorners?, halfPixelCenters?): T_2

    • Type Parameters

      • T_2 extends Tensor3D | Tensor4D

      Parameters

      • images: TensorLike | T_2

      • size: [number, number]

      • Optional alignCorners: boolean

      • Optional halfPixelCenters: boolean

      Returns T_2

• resizeNearestNeighbor: (<T_1>(images, size, alignCorners?, halfPixelCenters?) => T_1)

  • • <T_1>(images, size, alignCorners?, halfPixelCenters?): T_1

    • Type Parameters

      • T_1 extends Tensor3D | Tensor4D

      Parameters

      • images: TensorLike | T_1

      • size: [number, number]

      • Optional alignCorners: boolean

      • Optional halfPixelCenters: boolean

      Returns T_1

• rgbToGrayscale: (<T_3>(image) => T_3)

  • • <T_3>(image): T_3

    • Type Parameters

      • T_3 extends Tensor2D | Tensor3D | Tensor4D | Tensor5D | Tensor6D

      Parameters

      • image: TensorLike | T_3

      Returns T_3

• rotateWithOffset: ((image, radians, fillValue?, center?) => Tensor4D)

  • • (image, radians, fillValue?, center?): Tensor4D

    • Parameters

      • image: TensorLike | Tensor4D

      • radians: number

      • Optional fillValue: number | [number, number, number]

      • Optional center: number | [number, number]

      Returns Tensor4D

• threshold: ((image, method?, inverted?, threshValue?) => Tensor3D)

  • • (image, method?, inverted?, threshValue?): Tensor3D

    • Parameters

      • image: TensorLike | Tensor3D

      • Optional method: string

      • Optional inverted: boolean

      • Optional threshValue: number

      Returns Tensor3D

• transform: ((image, transforms, interpolation?, fillMode?, fillValue?, outputShape?) => Tensor4D)

  • • (image, transforms, interpolation?, fillMode?, fillValue?, outputShape?): Tensor4D

    • Parameters

      • image: TensorLike | Tensor4D

      • transforms: TensorLike | Tensor2D

      • Optional interpolation: "bilinear" | "nearest"

      • Optional fillMode: "reflect" | "nearest" | "constant" | "wrap"

      • Optional fillValue: number

      • Optional outputShape: [number, number]

      Returns Tensor4D