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refactor(mask): [PKG-MASK-03] isolate model runs and release stale work
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Harvey Zhao committed
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23 files changed
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@@ -4,4 +4,4 @@
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* (c) 2017-2026 Harvey Zhao
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* Released under the MIT License.
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*/
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@@ -4,4 +4,4 @@
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*/
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This kernel may not be supported by the tfjs backend you have chosen`)}function s(e,t,n){return Math.max(e,Math.min(t,n))}function o(e){return e%2===0?e:e+1}function i(e,t,n){const r=e[t];e[t]=e[n],e[n]=r}function u(e,t){if(!e)throw new Error("string"===typeof t?t:t())}function l(e,t,n=""){u(p(e,t),()=>n+` Shapes ${e} and ${t} must match`)}function c(e){u(null!=e,()=>"The input to the tensor constructor must be a non-null value.")}function d(e){if(0===e.length)return 1;let t=e[0];for(let n=1;n<e.length;n++)t*=e[n];return t}function p(e,t){if(e===t)return!0;if(null==e||null==t)return!1;if(e.length!==t.length)return!1;for(let n=0;n<e.length;n++)if(e[n]!==t[n])return!1;return!0}function h(e){return e%1===0}function f(e){const t=Math.ceil(Math.sqrt(e));return[t,Math.ceil(e/t)]}function m(e,t){return t<=e.length?e:e+" ".repeat(t-e.length)}function g(e,t=e=>0,n,r){return new Promise((a,s)=>{let o=0;const i=()=>{if(e())return void a();o++;const u=t(o);null!=n&&o>=n?s():null!=r?r(i,u):setTimeout(i,u)};i()})}function y(e,t){let n=1,r=-1;for(let s=0;s<e.length;++s)if(e[s]>=0)n*=e[s];else if(-1===e[s]){if(-1!==r)throw Error(`Shapes can only have 1 implicit size. 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Got ${t} / ${n}`);const a=e.slice();return a[r]=t/n,a}function b(e,t){const n=t.length;return u((e=null==e?t.map((e,t)=>t):[].concat(e)).every(e=>e>=-n&&e<n),()=>`All values in axis param must be in range [-${n}, ${n}) but got axis ${e}`),u(e.every(e=>h(e)),()=>`All values in axis param must be integers but got axis ${e}`),e.map(e=>e<0?n+e:e)}function x(e,t){const n=[],r=[],a=null!=t&&Array.isArray(t)&&0===t.length,s=null==t||a?null:b(t,e).sort();let o=0;for(let i=0;i<e.length;++i){if(null!=s){if(s[o]===i&&1!==e[i])throw new Error(`Can't squeeze axis ${i} since its dim '${e[i]}' is not 1`);(null==s[o]||s[o]>i)&&1===e[i]&&(n.push(e[i]),r.push(i)),s[o]<=i&&o++}1!==e[i]&&(n.push(e[i]),r.push(i))}return{newShape:n,keptDims:r}}function v(e,t){return w(e,t)}function w(e,t){let n=null;if(null==e||"float32"===e)n=new Float32Array(t);else if("int32"===e)n=new Int32Array(t);else if("bool"===e)n=new Uint8Array(t);else{if("string"!==e)throw new Error(`Unknown data type ${e}`);n=new Array(t)}return n}function k(e,t){return"complex64"!==t&&(("float32"!==t||"complex64"===e)&&(("int32"!==t||"float32"===e||"complex64"===e)&&("bool"!==t||"bool"!==e)))}function I(e){if("float32"===e||"int32"===e)return 4;if("complex64"===e)return 8;if("bool"===e)return 1;throw new Error(`Unknown dtype ${e}`)}function N(e){return"string"===typeof e||e instanceof String}function S(e){return Array.isArray(e)?S(e[0]):e instanceof Float32Array?"float32":e instanceof Int32Array||e instanceof Uint8Array||e instanceof Uint8ClampedArray?"int32":"number"===tLine truncated
|
||||
@@ -23,6 +23,20 @@ function _mergeNamespaces(n, m) {
|
||||
}
|
||||
return Object.freeze(Object.defineProperty(n, Symbol.toStringTag, { value: "Module" }));
|
||||
}
|
||||
function maskConfig(option) {
|
||||
return {
|
||||
solutionPath: option.solutionPath || "https://cdn.jsdelivr.net/npm/@mediapipe/selfie_segmentation",
|
||||
modelSelection: option.modelSelection || 1,
|
||||
smoothSegmentation: option.smoothSegmentation !== void 0 ? option.smoothSegmentation : true,
|
||||
minDetectionConfidence: option.minDetectionConfidence || 0.5,
|
||||
minTrackingConfidence: option.minTrackingConfidence || 0.5,
|
||||
selfieMode: option.selfieMode || false,
|
||||
drawContour: option.drawContour || false,
|
||||
foregroundThreshold: option.foregroundThreshold || 0.5,
|
||||
opacity: option.opacity || 1,
|
||||
maskBlurAmount: option.maskBlurAmount || 3
|
||||
};
|
||||
}
|
||||
const EPSILON_FLOAT32$1 = 1e-7;
|
||||
const EPSILON_FLOAT16$1 = 1e-4;
|
||||
class DataStorage {
|
||||
@@ -49040,129 +49054,278 @@ const kernelConfigs = [
|
||||
for (const kernelConfig of kernelConfigs) {
|
||||
registerKernel(kernelConfig);
|
||||
}
|
||||
function artplayerPluginDanmukuMask(option = {}) {
|
||||
return (art) => {
|
||||
const {
|
||||
template: { $video, $danmuku }
|
||||
} = art;
|
||||
let segmenter = null;
|
||||
let canvas = null;
|
||||
let ctx = null;
|
||||
let animationFrameId = null;
|
||||
let isInitialized = false;
|
||||
const config = {
|
||||
solutionPath: option.solutionPath || "https://cdn.jsdelivr.net/npm/@mediapipe/selfie_segmentation",
|
||||
modelSelection: option.modelSelection || 1,
|
||||
smoothSegmentation: option.smoothSegmentation !== void 0 ? option.smoothSegmentation : true,
|
||||
minDetectionConfidence: option.minDetectionConfidence || 0.5,
|
||||
minTrackingConfidence: option.minTrackingConfidence || 0.5,
|
||||
selfieMode: option.selfieMode || false,
|
||||
drawContour: option.drawContour || false,
|
||||
foregroundThreshold: option.foregroundThreshold || 0.5,
|
||||
opacity: option.opacity || 1,
|
||||
maskBlurAmount: option.maskBlurAmount || 3
|
||||
async function loadSegmenter(config, active) {
|
||||
try {
|
||||
await setBackend("webgl");
|
||||
} catch (error) {
|
||||
if (!active())
|
||||
return null;
|
||||
console.warn("WebGL backend not available, falling back to CPU", error.message);
|
||||
await setBackend("cpu");
|
||||
}
|
||||
if (!active())
|
||||
return null;
|
||||
try {
|
||||
return await ke(Se.MediaPipeSelfieSegmentation, {
|
||||
runtime: "mediapipe",
|
||||
modelType: "general",
|
||||
solutionPath: config.solutionPath,
|
||||
modelSelection: config.modelSelection,
|
||||
smoothSegmentation: config.smoothSegmentation,
|
||||
minDetectionConfidence: config.minDetectionConfidence,
|
||||
minTrackingConfidence: config.minTrackingConfidence,
|
||||
selfieMode: config.selfieMode
|
||||
});
|
||||
} catch (error) {
|
||||
if (active())
|
||||
console.error("Error initializing segmenter:", error);
|
||||
return null;
|
||||
}
|
||||
}
|
||||
async function releaseSegmenter(segmenter) {
|
||||
try {
|
||||
await segmenter.dispose();
|
||||
} catch (error) {
|
||||
console.warn("Failed to dispose danmuku mask segmenter:", error);
|
||||
}
|
||||
}
|
||||
const toBinaryMask = (...args) => Ue(...args);
|
||||
const drawMask = (...args) => Ne(...args);
|
||||
function makeWhiteTransparent(imageData) {
|
||||
const data = imageData.data;
|
||||
for (let i = 0; i < data.length; i += 4) {
|
||||
if (data[i] > 250 && data[i + 1] > 250 && data[i + 2] > 250)
|
||||
data[i + 3] = 0;
|
||||
}
|
||||
return imageData;
|
||||
}
|
||||
function createOutput(layer) {
|
||||
const canvas = document.createElement("canvas");
|
||||
try {
|
||||
const ctx = canvas.getContext("2d");
|
||||
if (!ctx)
|
||||
throw new Error("Danmuku mask requires a 2D canvas context");
|
||||
Object.assign(layer.style, {
|
||||
maskMode: "alpha",
|
||||
maskSize: "contain",
|
||||
maskRepeat: "no-repeat",
|
||||
backgroundSize: "contain",
|
||||
backgroundRepeat: "no-repeat"
|
||||
});
|
||||
return { canvas, ctx };
|
||||
} catch (error) {
|
||||
canvas.width = 0;
|
||||
canvas.height = 0;
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
async function renderMask(output, video, layer, segmenter, config, active) {
|
||||
const { canvas, ctx } = output;
|
||||
canvas.width = video.videoWidth;
|
||||
canvas.height = video.videoHeight;
|
||||
const segmentation = await segmenter.segmentPeople(video);
|
||||
if (!active() || !segmentation || !segmentation.length)
|
||||
return;
|
||||
const mask = await toBinaryMask(
|
||||
segmentation,
|
||||
{ r: 255, g: 255, b: 255, a: 255 },
|
||||
{ r: 0, g: 0, b: 0, a: 255 },
|
||||
config.drawContour,
|
||||
config.foregroundThreshold
|
||||
);
|
||||
if (!active())
|
||||
return;
|
||||
await drawMask(canvas, video, mask, config.opacity, config.maskBlurAmount);
|
||||
if (!active())
|
||||
return;
|
||||
const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
|
||||
ctx.putImageData(makeWhiteTransparent(imageData), 0, 0);
|
||||
const url = canvas.toDataURL();
|
||||
if (active())
|
||||
layer.style.maskImage = `url(${url})`;
|
||||
}
|
||||
function releaseOutput(output) {
|
||||
if (output) {
|
||||
output.canvas.width = 0;
|
||||
output.canvas.height = 0;
|
||||
}
|
||||
}
|
||||
class MaskController {
|
||||
constructor(art, config, { $video, $danmuku }) {
|
||||
this.art = art;
|
||||
this.config = config;
|
||||
this.video = $video;
|
||||
this.layer = $danmuku;
|
||||
this.closed = art.isDestroy;
|
||||
this.run = null;
|
||||
this.tail = Promise.resolve();
|
||||
this.start = this.start.bind(this);
|
||||
this.stop = this.stop.bind(this);
|
||||
this.destroy = this.destroy.bind(this);
|
||||
this.ready = () => {
|
||||
this.start().catch((error) => console.error("Failed to start danmuku mask:", error));
|
||||
};
|
||||
async function initTensorFlow() {
|
||||
if (!this.closed) {
|
||||
try {
|
||||
await setBackend("webgl");
|
||||
art.on("destroy", this.destroy);
|
||||
if (!this.closed)
|
||||
art.on("ready", this.ready);
|
||||
} catch (error) {
|
||||
console.warn("WebGL backend not available, falling back to CPU", error.message);
|
||||
await setBackend("cpu");
|
||||
}
|
||||
}
|
||||
async function initSegmenter() {
|
||||
await initTensorFlow();
|
||||
const model = Se.MediaPipeSelfieSegmentation;
|
||||
const segmenterConfig = {
|
||||
runtime: "mediapipe",
|
||||
modelType: "general",
|
||||
solutionPath: config.solutionPath,
|
||||
modelSelection: config.modelSelection,
|
||||
smoothSegmentation: config.smoothSegmentation,
|
||||
minDetectionConfidence: config.minDetectionConfidence,
|
||||
minTrackingConfidence: config.minTrackingConfidence,
|
||||
selfieMode: config.selfieMode
|
||||
};
|
||||
try {
|
||||
segmenter = await ke(model, segmenterConfig);
|
||||
isInitialized = true;
|
||||
} catch (error) {
|
||||
console.error("Error initializing segmenter:", error);
|
||||
isInitialized = false;
|
||||
}
|
||||
}
|
||||
function setupDanmukuStyle() {
|
||||
Object.assign($danmuku.style, {
|
||||
maskMode: "alpha",
|
||||
maskSize: "contain",
|
||||
maskRepeat: "no-repeat",
|
||||
backgroundSize: "contain",
|
||||
backgroundRepeat: "no-repeat"
|
||||
});
|
||||
}
|
||||
function createCanvas2() {
|
||||
canvas = document.createElement("canvas");
|
||||
ctx = canvas.getContext("2d");
|
||||
}
|
||||
function makeWhiteTransparent(imageData) {
|
||||
const data = imageData.data;
|
||||
for (let i = 0; i < data.length; i += 4) {
|
||||
if (data[i] > 250 && data[i + 1] > 250 && data[i + 2] > 250) {
|
||||
data[i + 3] = 0;
|
||||
this.closed = true;
|
||||
this.halt();
|
||||
try {
|
||||
art.off("ready", this.ready);
|
||||
} catch {
|
||||
}
|
||||
try {
|
||||
art.off("destroy", this.destroy);
|
||||
} catch {
|
||||
}
|
||||
throw error;
|
||||
}
|
||||
return imageData;
|
||||
}
|
||||
async function segmentBody() {
|
||||
if (!isInitialized || $video.paused || $video.ended) {
|
||||
animationFrameId = requestAnimationFrame(segmentBody);
|
||||
return;
|
||||
}
|
||||
}
|
||||
active(run) {
|
||||
return run === this.run && run.running && !this.closed && !this.art.isDestroy;
|
||||
}
|
||||
release(run) {
|
||||
if (run.releasing)
|
||||
return run.releasing;
|
||||
const segmenter = run.segmenter;
|
||||
run.segmenter = null;
|
||||
const output = run.output;
|
||||
run.output = null;
|
||||
run.releasing = (async () => {
|
||||
await Promise.resolve();
|
||||
try {
|
||||
canvas.width = $video.videoWidth;
|
||||
canvas.height = $video.videoHeight;
|
||||
const segmentation = await segmenter.segmentPeople($video);
|
||||
if (!segmentation || segmentation.length === 0) {
|
||||
animationFrameId = requestAnimationFrame(segmentBody);
|
||||
releaseOutput(output);
|
||||
} finally {
|
||||
if (segmenter)
|
||||
await releaseSegmenter(segmenter);
|
||||
}
|
||||
})();
|
||||
return run.releasing;
|
||||
}
|
||||
schedule(run) {
|
||||
if (!this.active(run) || run.frame !== null || run.busy)
|
||||
return;
|
||||
run.frame = requestAnimationFrame(() => {
|
||||
run.frame = null;
|
||||
this.tick(run);
|
||||
});
|
||||
}
|
||||
tick(run) {
|
||||
if (!this.active(run) || run.busy)
|
||||
return;
|
||||
const video = this.video;
|
||||
if (video.paused || video.ended || !(video.videoWidth > 0 && video.videoHeight > 0)) {
|
||||
this.schedule(run);
|
||||
return;
|
||||
}
|
||||
run.busy = true;
|
||||
const work = (async () => {
|
||||
try {
|
||||
await Promise.resolve();
|
||||
if (this.active(run))
|
||||
await renderMask(run.output, video, this.layer, run.segmenter, this.config, () => this.active(run));
|
||||
} catch (error) {
|
||||
if (this.active(run))
|
||||
console.error("Error in segmentBody:", error);
|
||||
} finally {
|
||||
run.busy = false;
|
||||
if (!this.active(run))
|
||||
await this.release(run);
|
||||
else this.schedule(run);
|
||||
}
|
||||
})();
|
||||
this.tail = work.catch((error) => console.warn("Failed to release danmuku mask resources:", error));
|
||||
}
|
||||
async start() {
|
||||
if (this.closed || this.art.isDestroy)
|
||||
return;
|
||||
if (this.run?.running)
|
||||
return this.run.started;
|
||||
let cancel;
|
||||
const cancelled = new Promise((resolve) => cancel = resolve);
|
||||
const run = { running: true, initializing: true, busy: false, frame: null, segmenter: null, output: null, cancel, started: null };
|
||||
const previous = this.tail;
|
||||
this.run = run;
|
||||
const initialize = (async () => {
|
||||
try {
|
||||
await previous;
|
||||
if (!this.active(run))
|
||||
return;
|
||||
if (!this.video || !this.layer?.style)
|
||||
throw new Error("Danmuku mask requires core video and danmuku template nodes");
|
||||
run.segmenter = await loadSegmenter(this.config, () => this.active(run));
|
||||
if (!this.active(run))
|
||||
return;
|
||||
if (!run.segmenter) {
|
||||
run.running = false;
|
||||
return;
|
||||
}
|
||||
const foregroundColor = { r: 255, g: 255, b: 255, a: 255 };
|
||||
const backgroundColor = { r: 0, g: 0, b: 0, a: 255 };
|
||||
const mask = await Ue(
|
||||
segmentation,
|
||||
foregroundColor,
|
||||
backgroundColor,
|
||||
config.drawContour,
|
||||
config.foregroundThreshold
|
||||
);
|
||||
await Ne(canvas, $video, mask, config.opacity, config.maskBlurAmount);
|
||||
const imageData = ctx.getImageData(0, 0, canvas.width, canvas.height);
|
||||
ctx.putImageData(makeWhiteTransparent(imageData), 0, 0);
|
||||
$danmuku.style.maskImage = `url(${canvas.toDataURL()})`;
|
||||
run.output = createOutput(this.layer);
|
||||
} catch (error) {
|
||||
console.error("Error in segmentBody:", error);
|
||||
if (this.active(run)) {
|
||||
run.running = false;
|
||||
throw error;
|
||||
}
|
||||
} finally {
|
||||
run.initializing = false;
|
||||
if (!this.active(run))
|
||||
await this.release(run);
|
||||
}
|
||||
animationFrameId = requestAnimationFrame(segmentBody);
|
||||
if (this.active(run))
|
||||
this.tick(run);
|
||||
})();
|
||||
this.tail = initialize.catch(() => {
|
||||
});
|
||||
run.started = Promise.race([initialize, cancelled]);
|
||||
return run.started;
|
||||
}
|
||||
halt() {
|
||||
const run = this.run;
|
||||
if (run) {
|
||||
run.running = false;
|
||||
run.cancel();
|
||||
if (run.frame !== null) {
|
||||
cancelAnimationFrame(run.frame);
|
||||
run.frame = null;
|
||||
}
|
||||
if (!run.initializing && !run.busy)
|
||||
this.tail = this.release(run).catch((error) => console.warn("Failed to release danmuku mask resources:", error));
|
||||
}
|
||||
}
|
||||
stop() {
|
||||
this.halt();
|
||||
if (this.layer?.style)
|
||||
this.layer.style.maskImage = "none";
|
||||
}
|
||||
destroy() {
|
||||
if (this.closed)
|
||||
return;
|
||||
this.closed = true;
|
||||
try {
|
||||
this.stop();
|
||||
} finally {
|
||||
try {
|
||||
this.art.off("ready", this.ready);
|
||||
} finally {
|
||||
this.art.off("destroy", this.destroy);
|
||||
}
|
||||
}
|
||||
}
|
||||
}
|
||||
function artplayerPluginDanmukuMask(option = {}) {
|
||||
return (art) => {
|
||||
const { template: { $video, $danmuku } } = art;
|
||||
const controller = new MaskController(art, maskConfig(option), { $video, $danmuku });
|
||||
async function startSegmentation() {
|
||||
if (!isInitialized) {
|
||||
await initSegmenter();
|
||||
}
|
||||
if (!canvas) {
|
||||
createCanvas2();
|
||||
}
|
||||
setupDanmukuStyle();
|
||||
segmentBody();
|
||||
await controller.start();
|
||||
}
|
||||
function stopSegmentation() {
|
||||
$danmuku.style.maskImage = "none";
|
||||
if (animationFrameId) {
|
||||
cancelAnimationFrame(animationFrameId);
|
||||
animationFrameId = null;
|
||||
}
|
||||
controller.stop();
|
||||
}
|
||||
art.on("ready", startSegmentation);
|
||||
art.on("destroy", stopSegmentation);
|
||||
return {
|
||||
name: "artplayerPluginDanmukuMask",
|
||||
start: startSegmentation,
|
||||
|
||||
Reference in new issue
Block a user