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justadudewhohacksjustadudewhohacks
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added example
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‎dist/euclideanDistance.d.ts

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export declare function euclideanDistance(arr1: number[], arr2: number[]): number;
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export declare function euclideanDistance(arr1: number[] | Float32Array, arr2: number[] | Float32Array): number;

‎dist/euclideanDistance.js

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‎dist/euclideanDistance.js.map

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‎dist/face-recognition.min.js

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‎dist/faceRecognitionNet/index.d.ts

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

‎dist/faceRecognitionNet/index.js

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‎dist/faceRecognitionNet/index.js.map

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‎dist/normalize.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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export declare function normalize(input: number[]): tf.Tensor4D;
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export declare function normalize(input: number[] | ImageData): tf.Tensor4D;

‎dist/normalize.js

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‎dist/normalize.js.map

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