ONNX Runtime JavaScript API
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    Interface TensorToImageDataOptions

    interface TensorToImageDataOptions {
        format?: ImageFormat;
        norm?: {
            bias?:
                | number
                | [number, number, number]
                | [number, number, number, number];
            mean?:
                | number
                | [number, number, number]
                | [number, number, number, number];
        };
        tensorLayout?: ImageTensorLayout;
    }

    Hierarchy (View Summary)

    Index

    Properties

    format? norm? tensorLayout?

    Properties

    format?: ImageFormat

    Describes the image format represented in RGBA color space.

    norm?: {
        bias?:
            | number
            | [number, number, number]
            | [number, number, number, number];
        mean?: number | [number, number, number] | [number, number, number, number];
    }

    Describes normalization parameters when preprocessing the image as model input.

    Data element are ranged from 0 to 255.

    Type Declaration

    • Optionalbias?: number | [number, number, number] | [number, number, number, number]

      The 'bias' value for image normalization.

      • If omitted, use default value 0.
      • If it's a single number, apply to each channel
      • If it's an array of 3 or 4 numbers, apply element-wise. Number of elements need to match the number of channels for the corresponding image format
    • Optionalmean?: number | [number, number, number] | [number, number, number, number]

      The 'mean' value for image normalization.

      • If omitted, use default value 255.
      • If it's a single number, apply to each channel
      • If it's an array of 3 or 4 numbers, apply element-wise. Number of elements need to match the number of channels for the corresponding image format
    tensorLayout?: ImageTensorLayout

    Describes the tensor layout when representing data of one or more image(s).

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