fix(face-landmarks): human helper tensor disposal and async functions (#11596)
* fix(face-landmarks): human helper tensor disposal and async functions * fix(face-landmarks): rename functions in interface
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@ -30,8 +30,8 @@ type DetectOutput = {
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};
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export interface FaceLandmarksHelper {
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detectFaceBox({ detections, threshold }: Detection): Promise<FaceBox | undefined>;
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detectFaceExpression({ detections }: Detection): Promise<string | undefined>;
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getFaceBox({ detections, threshold }: Detection): FaceBox | undefined;
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getFaceExpression({ detections }: Detection): string | undefined;
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init(): Promise<void>;
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detect({ image, threshold } : DetectInput): Promise<DetectOutput | undefined>;
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getDetectionInProgress(): boolean;
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@ -118,7 +118,7 @@ export class HumanHelper implements FaceLandmarksHelper {
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}
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}
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async detectFaceBox({ detections, threshold }: Detection): Promise<FaceBox | undefined> {
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getFaceBox({ detections, threshold }: Detection): FaceBox | undefined {
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if (!detections.length) {
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return;
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}
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@ -140,7 +140,7 @@ export class HumanHelper implements FaceLandmarksHelper {
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return faceBox;
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}
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async detectFaceExpression({ detections }: Detection): Promise<string | undefined> {
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getFaceExpression({ detections }: Detection): string | undefined {
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if (detections[0]?.emotion) {
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return FACE_EXPRESSIONS_NAMING_MAPPING[detections[0]?.emotion[0].emotion];
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}
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@ -156,6 +156,7 @@ export class HumanHelper implements FaceLandmarksHelper {
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}
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this.detectionInProgress = true;
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this.human.tf.engine().startScope();
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const imageTensor = this.human.tf.browser.fromPixels(image);
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@ -163,7 +164,7 @@ export class HumanHelper implements FaceLandmarksHelper {
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const { face } = await this.human.detect(imageTensor, this.config);
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detections = face;
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faceExpression = await this.detectFaceExpression({ detections });
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faceExpression = this.getFaceExpression({ detections });
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}
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if (this.faceDetectionTypes.includes(DETECTION_TYPES.FACE_BOX)) {
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@ -173,12 +174,13 @@ export class HumanHelper implements FaceLandmarksHelper {
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detections = face;
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}
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faceBox = await this.detectFaceBox({
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faceBox = this.getFaceBox({
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detections,
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threshold
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});
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}
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this.human.tf.engine().endScope();
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this.detectionInProgress = false;
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return {
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