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ONNX Runtime JavaScript API
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    Interface TensorFromUrlOptions

    interface TensorFromUrlOptions {
        dataType?: "float32" | "uint8";
        height?: number;
        norm?: {
            bias?:
                | number
                | [number, number, number]
                | [number, number, number, number];
            mean?:
                | number
                | [number, number, number]
                | [number, number, number, number];
        };
        resizedHeight?: number;
        resizedWidth?: number;
        tensorFormat?: ImageFormat;
        tensorLayout?: ImageTensorLayout;
        width?: number;
    }

    Hierarchy (View Summary)

    Index

    Properties

    dataType? height? norm? resizedHeight? resizedWidth? tensorFormat? tensorLayout? width?

    Properties

    dataType?: "float32" | "uint8"

    Describes the data type of the tensor.

    height?: number

    Describes the image height in pixel

    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
    resizedHeight?: number

    Describes the resized height. If omitted, original height will be used.

    resizedWidth?: number

    Describes resized width - can be accessed via tensor dimensions as well

    tensorFormat?: ImageFormat

    Describes the image format of the tensor.

    NOTE: this is different from option 'format'. While option 'format' represents the original image, 'tensorFormat' represents the target format of the tensor. A transpose will be performed if they are different.

    tensorLayout?: ImageTensorLayout

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

    width?: number

    Describes the image width in pixel

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