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‎build/commonjs/dom/drawLandmarks.js

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‎build/commonjs/dom/drawLandmarks.js.map

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‎build/commonjs/dom/extractFaceTensors.js

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‎build/commonjs/dom/extractFaceTensors.js.map

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‎build/commonjs/dom/extractFaces.js

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‎build/commonjs/dom/extractFaces.js.map

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‎build/commonjs/faceLandmarkNet/FaceLandmark68Net.d.ts

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@@ -5,13 +5,14 @@ import { NetParams } from './types';
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export declare class FaceLandmark68Net extends FaceLandmark68NetBase<NetParams> {
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constructor();
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runNet(input: NetInput): tf.Tensor2D;
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protected loadQuantizedParams(uri: string | undefined): Promise<{
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protected getDefaultModelName(): string;
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protected extractParamsFromWeigthMap(weightMap: tf.NamedTensorMap): {
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params: NetParams;
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paramMappings: {
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originalPath?: string | undefined;
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paramPath: string;
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}[];
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}>;
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};
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protected extractParams(weights: Float32Array): {
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params: NetParams;
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paramMappings: {

‎build/commonjs/faceLandmarkNet/FaceLandmark68Net.js

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‎build/commonjs/faceLandmarkNet/FaceLandmark68Net.js.map

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‎build/commonjs/faceLandmarkNet/FaceLandmark68NetBase.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { IDimensions, NetInput, NeuralNetwork, TNetInput } from 'tfjs-image-recognition-base';
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import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
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export declare class FaceLandmark68NetBase<NetParams> extends NeuralNetwork<NetParams> {
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export declare abstract class FaceLandmark68NetBase<NetParams> extends NeuralNetwork<NetParams> {
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private __name;
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constructor(_name: string);
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runNet(_: NetInput): tf.Tensor2D;
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abstract runNet(netInput: NetInput): tf.Tensor2D;
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postProcess(output: tf.Tensor2D, inputSize: number, originalDimensions: IDimensions[]): tf.Tensor2D;
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forwardInput(input: NetInput): tf.Tensor2D;
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forward(input: TNetInput): Promise<tf.Tensor2D>;

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