import * as tf from '@tensorflow/tfjs-node';
import { ImageInput } from '../tensorflow/node';
import { DecodeClassifyArgs } from './common';
export * from './common';
export type ClassifyArgs = {
    model: tf.InferenceModel;
    /** used for image resize when necessary, auto inferred from model shape */
    input_shape?: {
        width: number;
        height: number;
    };
} & Omit<DecodeClassifyArgs, 'output'> & ImageInput;
/**
 * image features:
 *   - confidence of all classes
 *   - highest confidence, class_index
 *
 * The confidence are already normalized between 0 to 1, and sum up to 1.
 */
export declare function classifyImage(args: ClassifyArgs): Promise<import("./common").ClassifyResult>;
/**
 * Sync version of `detectBox`.
 */
export declare function classifyImageSync(args: ClassifyArgs): import("./common").ClassifyResult;
