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mitsuke-live

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Real-time object detection library for web browsers using TensorFlow.js and YOLO

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import { ARDetection } from '../types'; /** * Three.js Helper Functions for MitsukeLive * * Utility functions to simplify positioning and animating 3D objects * based on MitsukeLive AR detection results. These helpers handle * coordinate transformations, smooth animations, and common AR tasks. */ import * as THREE from "three"; /** * Convert detection coordinates to normalized device coordinates (-1 to 1) * @param centerX Center X coordinate in detection canvas * @param centerY Center Y coordinate in detection canvas * @param detectionWidth Detection canvas width * @param detectionHeight Detection canvas height * @returns Normalized coordinates for Three.js */ export declare function normalizeDetectionCoordinates(centerX: number, centerY: number, detectionWidth: number, detectionHeight: number): { x: number; y: number; }; export interface ViewportConfig { displayWidth: number; displayHeight: number; detectionWidth: number; detectionHeight: number; fov: number; } export interface SmoothTransformState { targetPosition: THREE.Vector3; targetRotation: THREE.Vector3; targetScale: THREE.Vector3; } /** * Create smooth transform state */ export declare function createSmoothTransformState(): SmoothTransformState; /** * Update smooth transform targets from AR detection */ export declare function updateSmoothTargets(state: SmoothTransformState, detection: ARDetection, viewport: ViewportConfig, halfTanFov: number, scaleMultiplier?: number): void; /** * Apply smooth interpolation to object */ export declare function applySmoothTransform(object: THREE.Object3D, state: SmoothTransformState, lerpFactor?: number): void; //# sourceMappingURL=three-helpers.d.ts.map