/**
 * Zero-shot object detector using OWL-v2 via @huggingface/transformers.
 *
 * Accepts arbitrary text prompts at runtime ("person", "person in red shirt",
 * "stroller", "bottle on the table") and returns bounding boxes for any
 * region that matches. Truly open-vocabulary — no class list baked in.
 *
 * Model: Xenova/owlv2-base-patch16-finetuned (downloaded on first use,
 * cached under ~/.cache/huggingface). Override with AGENTICROS_OWLV2_MODEL.
 *
 * Both `@huggingface/transformers` and `sharp` are loaded lazily on first
 * use so a missing optional dep cannot crash MCP server startup — it only
 * surfaces when the user actually calls the zero-shot detector.
 */
export interface ZeroShotDetection {
    label: string;
    confidence: number;
    x: number;
    y: number;
    width: number;
    height: number;
    cx: number;
    cy: number;
}
export interface ZeroShotDetectOptions {
    threshold?: number;
    topK?: number;
}
export declare class ZeroShotDetector {
    private detector;
    private loading;
    private readonly modelId;
    constructor(modelId?: string);
    load(): Promise<void>;
    detectByText(image: Buffer | Uint8Array, prompts: string[], opts?: ZeroShotDetectOptions): Promise<{
        width: number;
        height: number;
        detections: ZeroShotDetection[];
    }>;
    dispose(): Promise<void>;
}
//# sourceMappingURL=detector.d.ts.map