108 lines
3.7 KiB
TypeScript
108 lines
3.7 KiB
TypeScript
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import * as tf from '@tensorflow/tfjs-core';
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import { FaceLandmarks68 } from '../classes/FaceLandmarks68';
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import { extractFaces, extractFaceTensors, TNetInput } from '../dom';
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import { FaceLandmark68Net } from '../faceLandmarkNet/FaceLandmark68Net';
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import { FaceLandmark68TinyNet } from '../faceLandmarkNet/FaceLandmark68TinyNet';
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import { WithFaceDetection } from '../factories/WithFaceDetection';
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import { extendWithFaceLandmarks, WithFaceLandmarks } from '../factories/WithFaceLandmarks';
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import { ComposableTask } from './ComposableTask';
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import { ComputeAllFaceDescriptorsTask, ComputeSingleFaceDescriptorTask } from './ComputeFaceDescriptorsTasks';
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import { nets } from './nets';
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import {
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PredictAllAgeAndGenderWithFaceAlignmentTask,
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PredictSingleAgeAndGenderWithFaceAlignmentTask,
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} from './PredictAgeAndGenderTask';
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import {
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PredictAllFaceExpressionsWithFaceAlignmentTask,
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PredictSingleFaceExpressionsWithFaceAlignmentTask,
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} from './PredictFaceExpressionsTask';
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export class DetectFaceLandmarksTaskBase<TReturn, TParentReturn> extends ComposableTask<TReturn> {
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constructor(
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protected parentTask: ComposableTask<TParentReturn> | Promise<TParentReturn>,
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protected input: TNetInput,
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protected useTinyLandmarkNet: boolean
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) {
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super()
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}
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protected get landmarkNet(): FaceLandmark68Net | FaceLandmark68TinyNet {
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return this.useTinyLandmarkNet
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? nets.faceLandmark68TinyNet
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: nets.faceLandmark68Net
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}
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}
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export class DetectAllFaceLandmarksTask<
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TSource extends WithFaceDetection<{}>
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> extends DetectFaceLandmarksTaskBase<WithFaceLandmarks<TSource>[], TSource[]> {
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public async run(): Promise<WithFaceLandmarks<TSource>[]> {
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const parentResults = await this.parentTask
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const detections = parentResults.map(res => res.detection)
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const faces: Array<HTMLCanvasElement | tf.Tensor3D> = this.input instanceof tf.Tensor
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? await extractFaceTensors(this.input, detections)
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: await extractFaces(this.input, detections)
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const faceLandmarksByFace = await Promise.all(faces.map(
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face => this.landmarkNet.detectLandmarks(face)
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)) as FaceLandmarks68[]
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faces.forEach(f => f instanceof tf.Tensor && f.dispose())
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return parentResults.map((parentResult, i) =>
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extendWithFaceLandmarks<TSource>(parentResult, faceLandmarksByFace[i])
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)
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}
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withFaceExpressions() {
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return new PredictAllFaceExpressionsWithFaceAlignmentTask(this, this.input)
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}
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withAgeAndGender() {
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return new PredictAllAgeAndGenderWithFaceAlignmentTask(this, this.input)
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}
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withFaceDescriptors() {
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return new ComputeAllFaceDescriptorsTask(this, this.input)
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}
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}
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export class DetectSingleFaceLandmarksTask<
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TSource extends WithFaceDetection<{}>
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> extends DetectFaceLandmarksTaskBase<WithFaceLandmarks<TSource> | undefined, TSource | undefined> {
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public async run(): Promise<WithFaceLandmarks<TSource> | undefined> {
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const parentResult = await this.parentTask
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if (!parentResult) {
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return
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}
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const { detection } = parentResult
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const faces: Array<HTMLCanvasElement | tf.Tensor3D> = this.input instanceof tf.Tensor
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? await extractFaceTensors(this.input, [detection])
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: await extractFaces(this.input, [detection])
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const landmarks = await this.landmarkNet.detectLandmarks(faces[0]) as FaceLandmarks68
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faces.forEach(f => f instanceof tf.Tensor && f.dispose())
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return extendWithFaceLandmarks<TSource>(parentResult, landmarks)
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}
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withFaceExpressions() {
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return new PredictSingleFaceExpressionsWithFaceAlignmentTask(this, this.input)
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}
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withAgeAndGender() {
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return new PredictSingleAgeAndGenderWithFaceAlignmentTask(this, this.input)
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}
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withFaceDescriptor() {
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return new ComputeSingleFaceDescriptorTask(this, this.input)
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}
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}
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