react-native-executorch/lib/module/types/classification.js

An easy way to run AI models in React Native with ExecuTorch

"use strict";

import { Imagenet1kLabel } from '../constants/classification';
export { Imagenet1kLabel };

/**
 * Configuration for a custom classification model.
 * @typeParam T - The {@link LabelEnum} type for the model.
 * @property labelMap - The enum-like object mapping class names to indices.
 * @property preprocessorConfig - Optional preprocessing parameters.
 * @property preprocessorConfig.normMean - Per-channel mean values for input normalization.
 * @property preprocessorConfig.normStd - Per-channel standard deviation values for input normalization.
 * @category Types
 */

/**
 * Per-model config for {@link ClassificationModule.fromModelName}.
 * Each model name maps to its required fields.
 * @category Types
 */

/**
 * Union of all built-in classification model names.
 * @category Types
 */

/**
 * Props for the `useClassification` hook.
 * @typeParam C - A {@link ClassificationModelSources} config specifying which built-in model to load.
 * @property model - The model config containing `modelName` and `modelSource`.
 * @property {boolean} [preventLoad] - Boolean that can prevent automatic model loading (and downloading the data if you load it for the first time) after running the hook.
 * @category Types
 */

/**
 * Return type for the `useClassification` hook.
 * Manages the state and operations for Computer Vision image classification.
 * @typeParam L - The {@link LabelEnum} representing the model's class labels.
 * @category Types
 */
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