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justadudewhohacksjustadudewhohacks
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quantization of face recognition model
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‎dist/face-api.js

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‎dist/face-api.min.js

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‎dist/faceRecognitionNet/FaceRecognitionNet.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { NetInput } from '../NetInput';
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import { TNetInput } from '../types';
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export declare class FaceRecognitionNet {
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private _params;
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load(weightsOrUrl: Float32Array | string | undefined): Promise<void>;
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extractWeights(weights: Float32Array): void;
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forward(input: tf.Tensor | NetInput | TNetInput): tf.Tensor<tf.Rank.R2>;
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computeFaceDescriptor(input: tf.Tensor | NetInput | TNetInput): Promise<Int32Array | Uint8Array | Float32Array>;
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computeFaceDescriptorSync(input: tf.Tensor | NetInput | TNetInput): Promise<Int32Array | Uint8Array | Float32Array>;
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}

‎dist/faceRecognitionNet/FaceRecognitionNet.js

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‎dist/faceRecognitionNet/FaceRecognitionNet.js.map

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‎dist/faceRecognitionNet/convLayer.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { FaceRecognitionNet } from './types';
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export declare function conv(x: tf.Tensor4D, params: FaceRecognitionNet.ConvLayerParams): tf.Tensor<tf.Rank.R4>;
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export declare function convNoRelu(x: tf.Tensor4D, params: FaceRecognitionNet.ConvLayerParams): tf.Tensor<tf.Rank.R4>;
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export declare function convDown(x: tf.Tensor4D, params: FaceRecognitionNet.ConvLayerParams): tf.Tensor<tf.Rank.R4>;
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import { ConvLayerParams } from './types';
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export declare function conv(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor<tf.Rank.R4>;
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export declare function convNoRelu(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor<tf.Rank.R4>;
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export declare function convDown(x: tf.Tensor4D, params: ConvLayerParams): tf.Tensor<tf.Rank.R4>;

‎dist/faceRecognitionNet/convLayer.js.map

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‎dist/faceRecognitionNet/extractParams.d.ts

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import { FaceRecognitionNet } from './types';
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export declare function extractParams(weights: Float32Array): FaceRecognitionNet.NetParams;
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import { NetParams } from './types';
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export declare function extractParams(weights: Float32Array): NetParams;

‎dist/faceRecognitionNet/extractParams.js.map

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‎dist/faceRecognitionNet/index.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { NetInput } from '../NetInput';
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export declare function faceRecognitionNet(weights: Float32Array): {
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computeFaceDescriptor: (input: string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement | (string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement)[] | tf.Tensor<tf.Rank> | NetInput) => Promise<Int32Array | Uint8Array | Float32Array>;
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computeFaceDescriptorSync: (input: string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement | (string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement)[] | tf.Tensor<tf.Rank> | NetInput) => Int32Array | Uint8Array | Float32Array;
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forward: (input: string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement | (string | HTMLCanvasElement | HTMLImageElement | HTMLVideoElement)[] | tf.Tensor<tf.Rank> | NetInput) => tf.Tensor<tf.Rank.R2>;
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};
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import { FaceRecognitionNet } from './FaceRecognitionNet';
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export * from './FaceRecognitionNet';
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export declare function faceRecognitionNet(weights: Float32Array): FaceRecognitionNet;

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