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‎build/allFacesFactory.d.ts

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@@ -3,10 +3,10 @@ import { TinyYolov2Types } from 'tfjs-tiny-yolov2';
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import { TinyYolov2 } from '.';
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import { FullFaceDescription } from './classes/FullFaceDescription';
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import { FaceDetectionNet } from './faceDetectionNet/FaceDetectionNet';
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import { FaceLandmarkNet } from './faceLandmarkNet/FaceLandmarkNet';
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import { FaceLandmark68Net } from './faceLandmarkNet/FaceLandmark68Net';
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import { FaceRecognitionNet } from './faceRecognitionNet/FaceRecognitionNet';
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import { Mtcnn } from './mtcnn/Mtcnn';
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import { MtcnnForwardParams } from './mtcnn/types';
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export declare function allFacesSsdMobilenetv1Factory(ssdMobilenetv1: FaceDetectionNet, landmarkNet: FaceLandmarkNet, recognitionNet: FaceRecognitionNet): (input: TNetInput, minConfidence?: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesTinyYolov2Factory(tinyYolov2: TinyYolov2, landmarkNet: FaceLandmarkNet, recognitionNet: FaceRecognitionNet): (input: TNetInput, forwardParams?: TinyYolov2Types.TinyYolov2ForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesSsdMobilenetv1Factory(ssdMobilenetv1: FaceDetectionNet, landmarkNet: FaceLandmark68Net, recognitionNet: FaceRecognitionNet): (input: TNetInput, minConfidence?: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesTinyYolov2Factory(tinyYolov2: TinyYolov2, landmarkNet: FaceLandmark68Net, recognitionNet: FaceRecognitionNet): (input: TNetInput, forwardParams?: TinyYolov2Types.TinyYolov2ForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesMtcnnFactory(mtcnn: Mtcnn, recognitionNet: FaceRecognitionNet): (input: TNetInput, mtcnnForwardParams?: MtcnnForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;

‎build/allFacesFactory.js

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‎build/allFacesFactory.js.map

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‎build/dom/extractFaceTensors.d.ts

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import * as tf from '@tensorflow/tfjs-core';
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import { Rect, TNetInput } from 'tfjs-image-recognition-base';
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import { Rect } from 'tfjs-image-recognition-base';
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import { FaceDetection } from '../classes/FaceDetection';
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/**
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* Extracts the tensors of the image regions containing the detected faces.
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* Useful if you want to compute the face descriptors for the face images.
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* 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 imageTensor The image tensor that face detection has been performed on.
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* @param detections The face detection results or face bounding boxes 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(input: TNetInput, detections: Array<FaceDetection | Rect>): Promise<tf.Tensor4D[]>;
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export declare function extractFaceTensors(imageTensor: tf.Tensor3D | tf.Tensor4D, detections: Array<FaceDetection | Rect>): Promise<tf.Tensor3D[]>;

‎build/dom/extractFaceTensors.js

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‎build/dom/extractFaceTensors.js.map

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