tensorflow-helpers
Version:
Helper functions to use tensorflow in nodejs for transfer learning, image classification, and more
36 lines (35 loc) • 1.19 kB
TypeScript
import * as tf from '@tensorflow/tfjs';
export type ClassifierModelSpec = {
embeddingFeatures: number;
hiddenLayers?: number[];
classes: number;
classNames?: string[];
};
export declare function createImageClassifier(spec: ClassifierModelSpec): tf.Sequential & {
getArtifacts: () => import("./model-artifacts").PatchedModelArtifacts;
classNames?: string[];
};
export type ClassificationOptions = {
/** default: true */
applySoftmax?: boolean;
/** default: false */
squeeze?: boolean;
};
export type ClassificationResult = {
label: string;
/** @description between 0 to 1 */
confidence: number;
};
export declare function getClassCount(shape: tf.Shape | tf.Shape[]): number;
export declare function topClassifyResult(items: ClassificationResult[]): ClassificationResult;
/**
* @description the values is returned as is.
* It should has be applied softmax already.
* */
export declare function mapWithClassName(classNames: string[], values: ArrayLike<number>, options?: {
sort?: boolean;
}): ClassificationResult[];
export declare function calcClassWeight(options: {
classes: number;
classCounts: number[];
}): number[];