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Merge pull request justadudewhohacks#3 from justadudewhohacks/face-extraction
Face extraction
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‎dist/NetInput.js

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‎dist/NetInput.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 { NetInput } from './NetInput';
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import { TNetInput } from './types';
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/**
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* Extracts the tensors of the image regions containing the detected faces.
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* Returned tensors have to be disposed manually once you don't need them anymore!
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* Useful if you want to compute the face descriptors for the face
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* images. Using this method is faster then extracting a canvas for each face and
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* converting them to tensors individually.
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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 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[];

‎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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/**
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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[];

‎dist/extractFaces.js

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‎dist/extractFaces.js.map

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