mirror of
https://github.com/zhw2590582/ArtPlayer.git
synced 2026-10-08 19:06:15 -08:00
- Implemented a new HTML interface for image and video upscaling with WebGPU and WebGL support. - Created the Upscaler class to handle image and video processing, including loading weights, managing workers, and handling real-time upscaling. - Added support for selecting processing modes (small, medium, large) and handling file uploads. - Integrated progress tracking and result display for processed images and videos. - Implemented functionality for downloading processed results and real-time video processing from a URL.
616 lines
17 KiB
JavaScript
616 lines
17 KiB
JavaScript
class Upscaler {
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static DEFAULT_TIMEOUTS = { IMAGE: 300000, VIDEO: 3600000, METADATA: 10000 };
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static DEFAULT_DELAYS = { INIT: 500, NETWORK: 300 };
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static isSupported() {
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try {
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const hasWorker = typeof Worker !== "undefined";
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const hasOffscreen =
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typeof OffscreenCanvas !== "undefined" ||
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(typeof document !== "undefined" &&
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!!document.createElement("canvas").transferControlToOffscreen);
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const hasBlob = typeof Blob !== "undefined";
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return hasWorker && hasOffscreen && hasBlob;
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} catch {
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return false;
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}
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}
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static isVideoSupported() {
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try {
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return (
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typeof VideoEncoder !== "undefined" &&
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typeof VideoDecoder !== "undefined"
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);
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} catch {
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return false;
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}
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}
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constructor(options = {}) {
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const weightsBaseUrl = options.weightsBaseUrl || "/weights";
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this.networks = options.networks || {
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small: {
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name: "anime4k/cnn-2x-l",
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weightsUrl: `${weightsBaseUrl}/cnn-8.json`,
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},
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medium: {
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name: "anime4k/cnn-2x-16",
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weightsUrl: `${weightsBaseUrl}/cnn-16.json`,
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},
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large: {
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name: "anime4k/cnn-2x-28",
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weightsUrl: `${weightsBaseUrl}/cnn-28.json`,
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},
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};
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this.weightsBaseUrl = weightsBaseUrl;
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this.networkSize = options.networkSize || "medium";
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this.workerUrl = options.workerUrl || "/worker/main.js";
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this.timeouts = {
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...Upscaler.DEFAULT_TIMEOUTS,
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...(options.timeouts || {}),
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};
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this.delays = { ...Upscaler.DEFAULT_DELAYS, ...(options.delays || {}) };
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this.imageScale =
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typeof options.imageScale === "number" && options.imageScale > 0
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? options.imageScale
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: 2;
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this.videoScale =
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typeof options.videoScale === "number" && options.videoScale > 0
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? options.videoScale
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: 2;
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this.weightsCache = new Map();
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this.workerInstance = null;
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this.messageHandlers = {};
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this.progressCallback = null;
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this.processingType = null;
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this.realtimeLoopId = null;
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this.realtimeState = null;
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this.init();
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}
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init({ prewarm = true } = {}) {
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if (!Upscaler.isSupported()) {
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throw new Error("Upscaler is not supported in this environment");
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}
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if (prewarm) {
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this.getWorker().postMessage({ cmd: "isSupported" });
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}
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return this;
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}
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getWorker() {
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if (!this.workerInstance) {
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this.workerInstance = new Worker(this.workerUrl);
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this.workerInstance.onmessage = (event) =>
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this.handleWorkerMessage(event);
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}
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return this.workerInstance;
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}
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static extractProgressValue(data) {
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const value = data.data ?? data.progress ?? data.value ?? data.percentage;
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return typeof value === "number"
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? Math.min(100, Math.max(0, Math.round(value)))
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: null;
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}
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handleBlobResponse(data) {
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const blobType =
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this.processingType === "video" ? "videoBlob" : "imageBlob";
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const handler = this.messageHandlers[blobType];
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if (data.data instanceof Blob && handler) {
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handler({ [blobType]: data.data });
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}
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}
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requestBlob() {
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const cmd =
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this.processingType === "video" ? "getVideoBlob" : "getImageBlob";
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this.getWorker().postMessage({ cmd });
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}
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handleWorkerMessage(event) {
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const { data } = event;
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console.debug("Worker message:", data);
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if (!data.cmd) return;
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const { cmd } = data;
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if (cmd === "progress") {
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const progress = Upscaler.extractProgressValue(data);
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if (progress !== null && this.progressCallback) {
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this.progressCallback(progress);
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}
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if (this.messageHandlers.progress) this.messageHandlers.progress(data);
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} else if (cmd === "finished") {
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if (data.data instanceof Blob) {
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this.handleBlobResponse(data);
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} else {
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this.requestBlob();
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}
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} else if (this.messageHandlers[cmd]) {
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this.messageHandlers[cmd](data);
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}
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}
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async loadWeights(networkSize) {
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this.validateNetworkSize(networkSize);
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if (this.weightsCache.has(networkSize)) {
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return this.weightsCache.get(networkSize);
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}
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const network = this.networks[networkSize];
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const response = await fetch(network.weightsUrl);
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if (!response.ok)
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throw new Error(`Failed to fetch weights: ${response.statusText}`);
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const weights = await response.json();
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this.weightsCache.set(networkSize, weights);
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return weights;
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}
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static loadImageMetadata(arrayBuffer, mimeType) {
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return new Promise((resolve, reject) => {
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const blob = new Blob([arrayBuffer], { type: mimeType });
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const url = URL.createObjectURL(blob);
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const img = new Image();
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img.onload = () => {
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URL.revokeObjectURL(url);
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resolve({ width: img.width, height: img.height });
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};
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img.onerror = () => {
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URL.revokeObjectURL(url);
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reject(new Error("Failed to load image"));
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};
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img.src = url;
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});
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}
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static loadVideoMetadata(file, timeoutMs) {
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return new Promise((resolve, reject) => {
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const url = URL.createObjectURL(file);
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const video = document.createElement("video");
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video.src = url;
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const timeout = setTimeout(() => reject(new Error("Timeout")), timeoutMs);
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video.onloadedmetadata = () => {
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clearTimeout(timeout);
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URL.revokeObjectURL(url);
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resolve({
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width: video.videoWidth,
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height: video.videoHeight,
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duration: video.duration,
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});
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};
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video.onerror = () => {
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clearTimeout(timeout);
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URL.revokeObjectURL(url);
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reject(new Error("Failed to load video"));
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};
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});
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}
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createOffscreenCanvas(width, height, scale = 2) {
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const factor = typeof scale === "number" && scale > 0 ? scale : 1;
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const canvas = document.createElement("canvas");
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canvas.width = width * factor;
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canvas.height = height * factor;
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if (typeof canvas.transferControlToOffscreen !== "function") {
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throw new Error("OffscreenCanvas is not supported in this environment");
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}
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return canvas.transferControlToOffscreen();
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}
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createBlobPromise(blobType, timeout) {
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return new Promise((resolve, reject) => {
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const timeoutId = setTimeout(() => {
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if (this.messageHandlers[blobType]) {
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delete this.messageHandlers[blobType];
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reject(new Error(`${blobType} processing timeout`));
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}
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}, timeout);
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this.messageHandlers[blobType] = (msg) => {
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delete this.messageHandlers[blobType];
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clearTimeout(timeoutId);
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const blob = msg[blobType] || msg.data;
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if (blob instanceof Blob) {
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resolve(blob);
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} else {
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reject(new Error(`Invalid ${blobType} format`));
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}
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};
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});
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}
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validateNetworkSize(size) {
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if (!this.networks[size]) {
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throw new Error(
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"Invalid networkSize: use one of " +
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Object.keys(this.networks).join(", "),
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);
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}
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}
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async upscaleImage(imageFile, networkSize, scaleOverride) {
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if (!imageFile) throw new Error("Image file is required");
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const size = networkSize || this.networkSize;
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this.validateNetworkSize(size);
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this.processingType = "image";
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const arrayBuffer = await imageFile.arrayBuffer();
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const mimeType = imageFile.type || "image/jpeg";
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const { width, height } = await Upscaler.loadImageMetadata(
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arrayBuffer,
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mimeType,
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);
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const weights = await this.loadWeights(size);
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const network = this.networks[size];
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const scale =
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typeof scaleOverride === "number" && scaleOverride > 0
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? scaleOverride
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: this.imageScale;
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const [canvasUp, canvasOrig] = [
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this.createOffscreenCanvas(width, height, scale),
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this.createOffscreenCanvas(width, height, 1),
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];
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const blobPromise = this.createBlobPromise(
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"imageBlob",
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this.timeouts.IMAGE,
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);
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this.getWorker().postMessage(
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{
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cmd: "init",
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data: {
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imageArrayBuffer: arrayBuffer,
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imageMimeType: mimeType,
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upscaled: canvasUp,
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original: canvasOrig,
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resolution: { width, height },
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network_name: network.name,
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weights,
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},
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},
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[canvasUp, canvasOrig],
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);
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setTimeout(() => {
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this.getWorker().postMessage({
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cmd: "network",
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data: {
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name: network.name,
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imageArrayBuffer: arrayBuffer,
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imageMimeType: mimeType,
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weights,
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},
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});
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setTimeout(() => {
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this.getWorker().postMessage({
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cmd: "getImageBlob",
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data: { imageArrayBuffer: arrayBuffer, imageMimeType: mimeType },
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});
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}, this.delays.NETWORK);
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}, this.delays.INIT);
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return blobPromise;
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}
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async upscaleVideo(videoFile, networkSize, scaleOverride) {
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if (!videoFile) throw new Error("Video file is required");
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const size = networkSize || this.networkSize;
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this.validateNetworkSize(size);
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if (!Upscaler.isVideoSupported()) {
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throw new Error("WebCodecs API not supported. Requires Chrome 94+");
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}
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this.processingType = "video";
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const { width, height, duration } = await Upscaler.loadVideoMetadata(
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videoFile,
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this.timeouts.METADATA,
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);
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const weights = await this.loadWeights(size);
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const network = this.networks[size];
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const scale =
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typeof scaleOverride === "number" && scaleOverride > 0
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? scaleOverride
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: this.videoScale;
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const [canvasOut, canvasIn] = [
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this.createOffscreenCanvas(width, height, scale),
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this.createOffscreenCanvas(width, height, 1),
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];
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const blobPromise = this.createBlobPromise(
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"videoBlob",
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this.timeouts.VIDEO,
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);
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this.getWorker().postMessage(
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{
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cmd: "process",
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file: videoFile,
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fileSize: videoFile.size,
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duration,
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adjustedResolution: {
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adjustedInputWidth: width,
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adjustedInputHeight: height,
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adjustedOutputWidth: width * scale,
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adjustedOutputHeight: height * scale,
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},
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upscaled: canvasOut,
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original: canvasIn,
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weights,
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network_name: network.name,
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skipDemuxProgress: true,
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},
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[canvasOut, canvasIn],
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);
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return blobPromise;
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}
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async startRealtimeUpscale(
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videoElement,
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canvasElement,
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networkSize,
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scaleOverride,
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) {
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if (!videoElement || !canvasElement) {
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throw new Error("videoElement and canvasElement are required");
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}
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const size = networkSize || this.networkSize;
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this.validateNetworkSize(size);
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const network = this.networks[size];
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const weights = await this.loadWeights(size);
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const scale =
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typeof scaleOverride === "number" && scaleOverride > 0
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? scaleOverride
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: this.videoScale;
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const ensureMetadata = () => {
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return new Promise((resolve, reject) => {
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if (videoElement.readyState >= 1) {
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resolve();
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return;
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}
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const onLoaded = () => {
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cleanup();
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resolve();
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};
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const onError = () => {
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cleanup();
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reject(new Error("Failed to load video metadata"));
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};
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const cleanup = () => {
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videoElement.removeEventListener("loadedmetadata", onLoaded);
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videoElement.removeEventListener("error", onError);
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};
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videoElement.addEventListener("loadedmetadata", onLoaded);
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videoElement.addEventListener("error", onError);
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});
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};
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await ensureMetadata();
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const width = videoElement.videoWidth;
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const height = videoElement.videoHeight;
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if (!width || !height) {
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throw new Error("Invalid video dimensions");
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}
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const firstInit = !canvasElement._upscalerTransferred;
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let offscreen = null;
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if (firstInit) {
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canvasElement.width = width * scale;
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canvasElement.height = height * scale;
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if (typeof canvasElement.transferControlToOffscreen !== "function") {
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throw new Error("OffscreenCanvas is not supported in this environment");
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}
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offscreen = canvasElement.transferControlToOffscreen();
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canvasElement._upscalerTransferred = true;
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}
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const captureCanvas = document.createElement("canvas");
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captureCanvas.width = width;
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captureCanvas.height = height;
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const captureCtx = captureCanvas.getContext("2d");
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if (this.realtimeLoopId) {
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cancelAnimationFrame(this.realtimeLoopId);
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this.realtimeLoopId = null;
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}
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const initPayload = {
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cmd: "realtimeInit",
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data: {
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upscaled: firstInit ? offscreen : null,
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resolution: {
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width,
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height,
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scale,
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outputWidth: width * scale,
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outputHeight: height * scale,
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},
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network_name: network.name,
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weights,
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},
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};
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if (firstInit && offscreen) {
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this.getWorker().postMessage(initPayload, [offscreen]);
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} else {
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this.getWorker().postMessage(initPayload);
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}
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this.realtimeState = {
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running: true,
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video: videoElement,
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canvas: canvasElement,
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scale,
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busy: false,
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frameIndex: 0,
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captureCanvas,
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captureCtx,
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};
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const loop = async () => {
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if (!this.realtimeState || !this.realtimeState.running) return;
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const state = this.realtimeState;
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const v = state.video;
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const haveCurrentData = v.HAVE_CURRENT_DATA || 2;
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if (
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!v.paused &&
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!v.ended &&
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!state.busy &&
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v.readyState >= haveCurrentData &&
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v.videoWidth > 0 &&
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v.videoHeight > 0
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) {
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state.busy = true;
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try {
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const captureCanvas = state.captureCanvas;
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const captureCtx = state.captureCtx;
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if (!captureCanvas || !captureCtx) {
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throw new Error("Missing capture canvas");
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}
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captureCtx.drawImage(v, 0, 0, captureCanvas.width, captureCanvas.height);
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const frame = await createImageBitmap(captureCanvas);
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state.frameIndex += 1;
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this.getWorker().postMessage(
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{
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cmd: "realtimeFrame",
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frame,
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},
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[frame],
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);
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} catch (e) {
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console.warn("realtimeFrame error", e);
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} finally {
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if (this.realtimeState) {
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this.realtimeState.busy = false;
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}
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}
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}
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this.realtimeLoopId = requestAnimationFrame(loop);
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};
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this.realtimeLoopId = requestAnimationFrame(loop);
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}
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stopRealtimeUpscale() {
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if (this.realtimeLoopId) {
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cancelAnimationFrame(this.realtimeLoopId);
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this.realtimeLoopId = null;
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}
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if (this.realtimeState) {
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this.realtimeState.running = false;
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this.realtimeState = null;
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}
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}
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async downloadUpscaled(file, networkSize, filename = null) {
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const isVideo = file.type.startsWith("video");
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const size = networkSize || this.networkSize;
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const blob = isVideo
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? await this.upscaleVideo(file, size)
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: await this.upscaleImage(file, size);
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const url = URL.createObjectURL(blob);
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const link = document.createElement("a");
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link.href = url;
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link.download =
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filename || `upscaled_${Date.now()}.${isVideo ? "mp4" : "png"}`;
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link.click();
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URL.revokeObjectURL(url);
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return blob;
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}
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getSupportedNetworks() {
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return Object.keys(this.networks);
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}
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static async getGPUCapability() {
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try {
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if (navigator.gpu) {
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const adapter = await navigator.gpu.requestAdapter();
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if (adapter) {
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const buffer = adapter.limits.maxStorageBufferBindingSize / 512;
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const texture = 8192 * 8192;
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return Math.min(buffer, texture);
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}
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}
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const canvas = document.createElement("canvas");
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const gl = canvas.getContext("webgl2");
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if (gl) return gl.getParameter(gl.MAX_TEXTURE_SIZE) ** 2;
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return 8388608;
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} catch {
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return 8388608;
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}
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}
|
|
|
|
static getBackendType() {
|
|
try {
|
|
if (navigator.gpu) return "webgpu";
|
|
if (document.createElement("canvas").getContext("webgl2")) return "webgl";
|
|
return "unknown";
|
|
} catch {
|
|
return "unknown";
|
|
}
|
|
}
|
|
|
|
getAppState() {
|
|
return {
|
|
backend: Upscaler.getBackendType(),
|
|
isProcessing: false,
|
|
progress: 0,
|
|
width: 0,
|
|
height: 0,
|
|
};
|
|
}
|
|
|
|
onProgress(callback) {
|
|
if (typeof callback === "function") {
|
|
this.progressCallback = callback;
|
|
}
|
|
}
|
|
|
|
dispose() {
|
|
this.stopRealtimeUpscale();
|
|
if (this.workerInstance) {
|
|
this.workerInstance.terminate();
|
|
this.workerInstance = null;
|
|
}
|
|
this.messageHandlers = {};
|
|
this.progressCallback = null;
|
|
this.processingType = null;
|
|
this.weightsCache.clear();
|
|
}
|
|
}
|
|
|
|
window.Upscaler = Upscaler;
|