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justadudewhohacksjustadudewhohacks
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check in latest build
1 parent fdf2827 commit 8fda866

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‎build/FaceLandmarks.js

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‎build/allFacesFactory.d.ts

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import { FaceDetectionNet } from './faceDetectionNet/FaceDetectionNet';
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import { FaceLandmarkNet } from './faceLandmarkNet/FaceLandmarkNet';
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import { FaceRecognitionNet } from './faceRecognitionNet/FaceRecognitionNet';
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import { FullFaceDescription } from './FullFaceDescription';
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import { Mtcnn } from './mtcnn/Mtcnn';
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import { MtcnnForwardParams } from './mtcnn/types';
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import { Rect } from './Rect';
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import { TNetInput } from './types';
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export declare function allFacesFactory(detectionNet: FaceDetectionNet, landmarkNet: FaceLandmarkNet, computeDescriptors: (input: TNetInput, alignedFaceBoxes: Rect[], useBatchProcessing: boolean) => Promise<Float32Array[]>): (input: TNetInput, minConfidence: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesMtcnnFactory(mtcnn: Mtcnn, computeDescriptors: (input: TNetInput, alignedFaceBoxes: Rect[], useBatchProcessing: boolean) => Promise<Float32Array[]>): (input: TNetInput, mtcnnForwardParams: MtcnnForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare function allFacesFactory(detectionNet: FaceDetectionNet, landmarkNet: FaceLandmarkNet, recognitionNet: FaceRecognitionNet): (input: TNetInput, minConfidence?: number, 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/globalApi.d.ts

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@@ -27,5 +27,7 @@ export declare function locateFaces(input: TNetInput, minConfidence?: number, ma
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export declare function detectLandmarks(input: TNetInput): Promise<FaceLandmarks68 | FaceLandmarks68[]>;
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export declare function computeFaceDescriptor(input: TNetInput): Promise<Float32Array | Float32Array[]>;
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export declare function mtcnn(input: TNetInput, forwardParams: MtcnnForwardParams): Promise<MtcnnResult[]>;
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export declare const allFaces: (input: tf.Tensor | NetInput | TNetInput, minConfidence: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare const allFacesMtcnn: (input: tf.Tensor | NetInput | TNetInput, mtcnnForwardParams: MtcnnForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare type allFacesFunction = (input: tf.Tensor | NetInput | TNetInput, minConfidence?: number, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare const allFaces: allFacesFunction;
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export declare type allFacesMtcnnFunction = (input: tf.Tensor | NetInput | TNetInput, mtcnnForwardParams?: MtcnnForwardParams, useBatchProcessing?: boolean) => Promise<FullFaceDescription[]>;
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export declare const allFacesMtcnn: allFacesMtcnnFunction;

‎build/globalApi.js

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‎build/globalApi.js.map

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‎build/mtcnn/Mtcnn.d.ts

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@@ -4,12 +4,12 @@ import { TNetInput } from '../types';
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import { MtcnnForwardParams, MtcnnResult, NetParams } from './types';
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export declare class Mtcnn extends NeuralNetwork<NetParams> {
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constructor();
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forwardInput(input: NetInput, forwardParams: MtcnnForwardParams): Promise<{
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forwardInput(input: NetInput, forwardParams?: MtcnnForwardParams): Promise<{
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results: MtcnnResult[];
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stats: any;
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}>;
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forward(input: TNetInput, forwardParams: MtcnnForwardParams): Promise<MtcnnResult[]>;
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forwardWithStats(input: TNetInput, forwardParams: MtcnnForwardParams): Promise<{
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forward(input: TNetInput, forwardParams?: MtcnnForwardParams): Promise<MtcnnResult[]>;
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forwardWithStats(input: TNetInput, forwardParams?: MtcnnForwardParams): Promise<{
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results: MtcnnResult[];
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stats: any;
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}>;

‎build/mtcnn/Mtcnn.js

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