28 lines
1.5 KiB
TypeScript
28 lines
1.5 KiB
TypeScript
import * as tf from '@tensorflow/tfjs-core';
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import { NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
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import { TinyXception } from '../xception/TinyXception';
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import { AgeAndGenderPrediction, NetOutput, NetParams } from './types';
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export declare class AgeGenderNet extends NeuralNetwork<NetParams> {
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private _faceFeatureExtractor;
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constructor(faceFeatureExtractor?: TinyXception);
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readonly faceFeatureExtractor: TinyXception;
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runNet(input: NetInput | tf.Tensor4D): NetOutput;
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forwardInput(input: NetInput | tf.Tensor4D): NetOutput;
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forward(input: TNetInput): Promise<NetOutput>;
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predictAgeAndGender(input: TNetInput): Promise<AgeAndGenderPrediction | AgeAndGenderPrediction[]>;
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protected getDefaultModelName(): string;
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dispose(throwOnRedispose?: boolean): void;
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loadClassifierParams(weights: Float32Array): void;
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extractClassifierParams(weights: Float32Array): {
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params: NetParams;
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paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
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};
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protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
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params: NetParams;
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paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
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};
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protected extractParams(weights: Float32Array): {
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params: NetParams;
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paramMappings: import("tfjs-image-recognition-base/build/commonjs/common").ParamMapping[];
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};
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}
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