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Merge pull request justadudewhohacks#10 from justadudewhohacks/face-landmarks
68 point face landmark detection
2 parents c378f93 + b9588f9 commit fb378dd

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‎dist/NetInput.js

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‎dist/NetInput.js.map

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‎dist/Point.d.ts

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export interface IPoint {
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x: number;
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y: number;
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}
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export declare class Point implements IPoint {
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x: number;
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y: number;
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constructor(x: number, y: number);
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add(pt: IPoint): Point;
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sub(pt: IPoint): Point;
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mul(pt: IPoint): Point;
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div(pt: IPoint): Point;
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}

‎dist/Point.js

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‎dist/Point.js.map

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‎dist/Rect.d.ts

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export declare class Rect {
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x: number;
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y: number;
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width: number;
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height: number;
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constructor(x: number, y: number, width: number, height: number);
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floor(): Rect;
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}

‎dist/Rect.js

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‎dist/Rect.js.map

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‎dist/commons/convLayer.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { ConvParams } from './types';
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export declare function convLayer(x: tf.Tensor4D, params: ConvParams, padding?: 'valid' | 'same', withRelu?: boolean): tf.Tensor4D;

‎dist/commons/convLayer.js

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‎dist/commons/convLayer.js.map

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‎dist/commons/extractConvParamsFactory.d.ts

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import { ConvParams, ExtractWeightsFunction } from './types';
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export declare function extractConvParamsFactory(extractWeights: ExtractWeightsFunction): (channelsIn: number, channelsOut: number, filterSize: number) => ConvParams;

‎dist/commons/extractConvParamsFactory.js

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‎dist/commons/extractConvParamsFactory.js.map

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‎dist/commons/extractWeightsFactory.d.ts

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export declare function extractWeightsFactory(weights: Float32Array): {
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extractWeights: (numWeights: number) => Float32Array;
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getRemainingWeights: () => Float32Array;
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};

‎dist/commons/extractWeightsFactory.js

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‎dist/commons/extractWeightsFactory.js.map

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‎dist/commons/types.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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export declare type ConvParams = {
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filters: tf.Tensor4D;
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bias: tf.Tensor1D;
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};
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export declare type ExtractWeightsFunction = (numWeights: number) => Float32Array;

‎dist/commons/types.js

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‎dist/commons/types.js.map

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‎dist/extractFaceTensors.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { FaceDetectionResult } from './faceDetectionNet/FaceDetectionResult';
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import { FaceDetection } from './faceDetectionNet/FaceDetection';
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import { NetInput } from './NetInput';
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import { TNetInput } from './types';
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/**
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* @param detections The face detection results for that image.
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* @returns Tensors of the corresponding image region for each detected face.
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*/
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export declare function extractFaceTensors(image: tf.Tensor | NetInput | TNetInput, detections: FaceDetectionResult[]): tf.Tensor4D[];
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export declare function extractFaceTensors(image: tf.Tensor | NetInput | TNetInput, detections: FaceDetection[]): tf.Tensor4D[];

‎dist/extractFaceTensors.js

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‎dist/extractFaceTensors.js.map

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‎dist/extractFaces.d.ts

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import { FaceDetectionResult } from './faceDetectionNet/FaceDetectionResult';
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import { FaceDetection } from './faceDetectionNet/FaceDetection';
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/**
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* Extracts the image regions containing the detected faces.
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*
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* @param input The image that face detection has been performed on.
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* @param detections The face detection results for that image.
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* @returns The Canvases of the corresponding image region for each detected face.
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*/
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export declare function extractFaces(image: HTMLCanvasElement, detections: FaceDetectionResult[]): HTMLCanvasElement[];
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export declare function extractFaces(image: HTMLCanvasElement, detections: FaceDetection[]): HTMLCanvasElement[];

‎dist/extractFaces.js

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‎dist/extractFaces.js.map

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