ppu-yolo-onnx-inference/web/index.d.ts

Use your YOLO onnx object detection model in Typescript Bun environment easily.

/**
 * @module ppu-yolo-onnx-inference/web
 *
 * Browser entrypoint for YOLOv11 object detection inference.
 * Uses `onnxruntime-web` for ONNX model execution and `ppu-ocv/web`
 * for image processing, enabling fully client-side object detection.
 *
 * @example
 * ```ts
 * import { YoloDetectionInference } from "ppu-yolo-onnx-inference/web";
 *
 * const modelResponse = await fetch("/model.onnx");
 * const modelBuffer = await modelResponse.arrayBuffer();
 *
 * const detector = new YoloDetectionInference({
 *   model: { onnx: modelBuffer, classNames: ["person", "car"] },
 * });
 *
 * await detector.init();
 * const detections = await detector.detect(imageArrayBuffer);
 * ```
 */
export { YoloDetectionInference } from "./yolo-inference.web.js";
export type { Box, DebuggingOptions, DetectedObject, ModelMetadata, ModelOptions, ModelThresholds, PreprocessYoloResult, TensorValueMetadata, ValueMetadataBase, YoloDetectionOptions, } from "../interface.js";
export { DEFAULT_DEBUG_OPTIONS, DEFAULT_THRESHOLDS, STANDARD_MODEL_INPUT_SHAPE, } from "../constant.js";