fast-sobel-tfjs/dist/utils/image-utils.d.ts

GPU-accelerated Sobel edge detection for TensorFlow.js - 5-10x faster than CPU implementations

import * as tf from '@tensorflow/tfjs';
/**
 * Converts a tensor to an ImageData object
 *
 * @param tensor Input tensor (should be [height, width, channels])
 * @param normalize Whether to normalize the values to 0-255 range
 * @returns ImageData object
 */
export declare function tensorToImageData(tensor: tf.Tensor3D, normalize?: boolean): Promise<ImageData>;
/**
 * Creates a canvas element from an ImageData object
 *
 * @param imageData ImageData to put on canvas
 * @returns Canvas element
 */
export declare function imageDataToCanvas(imageData: ImageData): HTMLCanvasElement;
/**
 * Converts a pixel array to a tensor
 *
 * @param pixels Pixel data
 * @param width Image width
 * @param height Image height
 * @param channels Number of channels (1, 3, or 4)
 * @returns 3D tensor of shape [height, width, channels]
 */
export declare function pixelArrayToTensor(pixels: Uint8ClampedArray | Uint8Array | Float32Array, width: number, height: number, channels?: number): tf.Tensor3D;
/**
 * Processes an HTML Image element and returns a canvas with the filtered result
 *
 * @param image HTML Image element
 * @param processFunction Function to process the ImageData
 * @returns Canvas element with processed image
 */
export declare function processHTMLImage(image: HTMLImageElement, processFunction: (imageData: ImageData) => Promise<ImageData>): Promise<HTMLCanvasElement>;