/**
 * YOLO Output Processor
 *
 * Processes raw YOLOv8 TFLite model output into detection results.
 * YOLOv8 output format: [1, 84, 8400] where:
 *   - 84 = 4 (bbox) + 80 (class scores for COCO)
 *   - 8400 = number of predictions (from 3 detection heads)
 *
 * For custom models with N classes: [1, 4+N, 8400]
 */
export interface RawDetection {
    x: number;
    y: number;
    width: number;
    height: number;
    classIndex: number;
    confidence: number;
}
export interface ProcessedDetection {
    x: number;
    y: number;
    width: number;
    height: number;
    classIndex: number;
    confidence: number;
}
/**
 * Process YOLOv8 model output into detections
 *
 * @param output Raw model output as Float32Array
 * @param numClasses Number of classes in the model
 * @param confThreshold Minimum confidence threshold (0-1)
 * @param iouThreshold IoU threshold for NMS (0-1)
 * @returns Array of processed detections
 */
export declare function processYoloOutput(output: Float32Array, numClasses: number, confThreshold?: number, iouThreshold?: number): ProcessedDetection[];
/**
 * Scale detection coordinates to actual image dimensions
 */
export declare function scaleDetections(detections: ProcessedDetection[], modelSize: number, imageWidth: number, imageHeight: number): ProcessedDetection[];
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