Class default

Example

// or use require
import AiMR_GAN from "@aimr/asmr-gan-lib";

// import some version of tensorflow in any way you'd like
import * as tf from "@tensorflow/tfjs";

// load the model and/or cache it for subsequent reloads.
await AiMR_GAN.load(tf);

// generate some fake Asmr Images
console.log(await AiMR_GAN.generateChunks(1));

Constructors

constructor

Properties

cached loaded model tf

Methods

cache generateChunks load

Constructors

constructor

Properties

Static cached

cached: boolean = false

Static loaded

loaded: boolean = false

Static model

model: LayersModel

Static tf

tf: __module

Methods

Private Static cache

  • cache(): Promise<void>

  • Cache the loaded pre-trained model for later use.

    Returns Promise<void>

    Note

    Cached differently depending on the execution context.

    Throws

    When called before model is loaded.

    Throws

    When called after model is already cached before.

Static generateChunks

  • generateChunks(chunks?): Uint8Array[]

  • This function will generate chunk(s) of images

    Parameters

    • Optional chunks: number = 1

      Integer >= 1. How many chunks to generate.

    Returns Uint8Array[]

    Array with length of chunks where each element is a Uint8Array of image data.

Static load

  • load(_tf): Promise<void>

  • Call this to load the pre-trained model into the library.

    Parameters

    • _tf: __module

      Dependency injection tensorflow instance.

    Returns Promise<void>

    Note

    This function will try to load a cached version before fetching the last public version.

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