face feature position
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133
src/nodes/AI/FaceFeaturePosition.ts
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133
src/nodes/AI/FaceFeaturePosition.ts
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@@ -0,0 +1,133 @@
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import {
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ImageVar,
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NumberVar
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} from '../io/AbstractIOSet';
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import Node from "../Node";
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import '@tensorflow/tfjs-backend-webgl';
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import {
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Face,
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FaceDetector,
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FaceDetectorInput,
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SupportedModels,
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createDetector,
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MediaPipeFaceDetectorTfjsModelConfig
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} from '@tensorflow-models/face-detection';
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import {canvasPool2D} from "../../canvas/CanvasPool";
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import {waitForMedia} from "../../utils";
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import { mediaSize } from '../canvas';
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import {first} from 'lodash/array';
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import keyBy from 'lodash/keyBy';
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const inputs = {
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image: {
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type: 'Image'
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} as ImageVar,
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}
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const outputs = {
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image: {
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type: 'Image'
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} as ImageVar,
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rightEyeX: {
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type: 'Number',
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} as NumberVar,
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rightEyeY: {
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type: 'Number',
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} as NumberVar,
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leftEyeX: {
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type: 'Number',
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} as NumberVar,
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leftEyeY: {
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type: 'Number',
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} as NumberVar,
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noseTipX: {
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type: 'Number',
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} as NumberVar,
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noseTipY: {
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type: 'Number',
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} as NumberVar,
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mouthCenterX: {
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type: 'Number',
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} as NumberVar,
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mouthCenterY: {
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type: 'Number',
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} as NumberVar,
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rightEarTragionX: {
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type: 'Number',
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} as NumberVar,
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rightEarTragionY: {
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type: 'Number',
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} as NumberVar,
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leftEarTragionX: {
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type: 'Number',
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} as NumberVar,
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leftEarTragionY: {
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type: 'Number',
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} as NumberVar,
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}
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export default class FaceFeaturePosition extends Node<typeof inputs, typeof outputs> {
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private detector: FaceDetector
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constructor(options={}) {
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super('FaceFeaturePosition', inputs, outputs);
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}
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async initDetector() {
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if (this.detector) {
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return;
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}
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const model = SupportedModels.MediaPipeFaceDetector;
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const detectorConfig = {
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maxFaces: 1,
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modelType: 'short',
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runtime: 'tfjs',
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} as MediaPipeFaceDetectorTfjsModelConfig;
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this.detector = await createDetector(model, detectorConfig);
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}
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async detectFeatures() {
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await this.initDetector();
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await waitForMedia(this.in.image.value);
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if (!this.in.image.value) {
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return;
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}
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const {width, height} = mediaSize(this.__in.image.value);
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const originalImageCanvas = canvasPool2D.createCanvas();
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originalImageCanvas.width = width;
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originalImageCanvas.height = height;
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originalImageCanvas.acquire();
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const originalCanvasCtx = originalImageCanvas.getContext('2d');
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originalCanvasCtx.drawImage(this.in.image.value as CanvasImageSource | OffscreenCanvas, 0, 0);
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const detections = await this.detector.estimateFaces(this.in.image.value as FaceDetectorInput, {flipHorizontal: false});
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if (!detections.length) {
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this.out.image.value = this.in.image.value;
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return;
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}
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const detection: Face = first(detections);
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const keyPoints = keyBy(detection.keypoints, (keyPoint) => keyPoint.name)
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this.out.image.value = this.in.image.value;
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this.out.rightEyeX.value = keyPoints['rightEye'].x;
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this.out.rightEyeY.value = keyPoints['rightEye'].y;
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this.out.leftEyeX.value = keyPoints['leftEye'].x;
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this.out.leftEyeY.value = keyPoints['leftEye'].y;
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this.out.noseTipX.value = keyPoints['noseTip'].x;
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this.out.noseTipY.value = keyPoints['noseTip'].y;
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this.out.mouthCenterX.value = keyPoints['mouthCenter'].x;
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this.out.mouthCenterY.value = keyPoints['mouthCenter'].y;
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this.out.rightEarTragionX.value = keyPoints['rightEarTragion'].x;
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this.out.rightEarTragionY.value = keyPoints['rightEarTragion'].y;
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this.out.leftEarTragionX.value = keyPoints['leftEarTragion'].x;
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this.out.leftEarTragionY.value = keyPoints['leftEarTragion'].y;
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}
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async _update(){
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await this.detectFeatures();
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}
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}
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@@ -28,3 +28,4 @@ export {default as Disable} from './Disable';
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// export {default as Synchronize} from './Synchronize';
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export {default as Api} from './Api';
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export {default as BodySegmentation} from './AI/BodySegmentation';
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export {default as FaceFeaturePosition} from './AI/FaceFeaturePosition';
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