Files
ArtPlayer/docs/upscaler/upscaler.js
T
Harvey Zhao f750e77e4f feat: add Upscaler web interface and core functionality
- 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.
2026-03-01 11:50:15 +08:00

616 lines
17 KiB
JavaScript

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