import { Prediction } from './gtm-image/exposed-mobilenet';
/**
 * Calculate importance score for each keypoint using class activation mapping
 * Returns array of 17 normalized importance values (one per keypoint)
 */
/**
 * Calculate CAM from PoseNet heatmap scores for pose model
 * heatmapScores shape: [height, width, 17] where 17 is the number of keypoints
 */
export declare function createImageCAM(activations7x7: Float32Array, predictions: Prediction[], imageSize: number): Promise<{
    heatmapData: number[][];
}>;
/**
 * Create CAM explanation for a pose classification using CNN feature maps
 * @param image The input image (used to extract CNN features from PoseNet backbone)
 * @param poseOutput The pose output from PoseNet (17 keypoints x 2 = 34 values)
 */