Class TrustMark

constructor

• new TrustMark(
      use_ecc?: boolean,
      secret_len?: number,
      encoding_mode?: number,
  ): TrustMark

  Constructs a new TrustMark instance.

  Parameters

  • Optionaluse_ecc: boolean = true

    use BCH error correction on the payload, reducing payload size (default)
  • Optionalsecret_len: number = 100

    The length of the secret.
  • Optionalencoding_mode: number = TrustMark.encoding.BCH_4

    The data schema encoding mode to use.

  Returns TrustMark

decoder_session

ecc

encoder_session

model_type

preprocess_224_session

preprocess_256_session

secret_len

use_ecc

Staticencoding

decode

• decode(image_url: string): Promise<any>

  Decodes the watermark of an image from a given URL.

  Parameters

  • image_url: string

    The URL of the image to decode.

  Returns Promise<any>

  A promise that resolves to the decoded watermnark data.

encode

• encode(
      image_url: string,
      string_secret: string,
      wm_strength?: number,
      maculate?: boolean,
      output?: string,
  ): Promise<any>

  Encodes a secret into an image and returns the stego image and the residual image.

  Parameters

  • image_url: string

    The cover image data.
  • string_secret: string

    The secret string to encode.
  • wm_strength: number = 0.4

    The watermark strength. Default is 0.4.
  • maculate: boolean = false

    Whether to overwrite an existing watermark with random values. Default is false.
  • output: string = 'bytes'

    The output format. Default is 'bytes'.

  Returns Promise<any>

  A promise that resolves with the encoded data or rejects with an error.

loadImage

• loadImage(image_url: string, process_type: string): Promise<any>

  Loads an image from a URL or filesystem and processes it based on the specified type.

  Parameters

  • image_url: string

    The URL or filesystem path of the image to be loaded.
  • process_type: string

    The type of processing to be applied to the image.

  Returns Promise<any>

  A promise that resolves with the processed image.

  Throws

  Throws an error if there is an issue loading or processing the image.

loadModels

• loadModels(type?: string): Promise<void>

  Loads the necessary models based on the specified type.

  Parameters

  • Optionaltype: string = 'Q'

    The type of models to load ('Q' or 'P').

  Returns Promise<void>

  Throws

  Throws an error if there is an issue loading any of the models.

processImage

• processImage(image: any, process_type: string): Promise<any>

  Processes the input image based on the specified processing type.

  Parameters

  • image: any

    The image object containing the tensor source and other properties.
  • process_type: string

    The type of processing to be applied to the image ('decode' or other types).

  Returns Promise<any>

  A promise that resolves with the processed image.

  Throws

  Throws an error if there is an issue processing the image.