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https://github.com/zhw2590582/ArtPlayer.git
synced 2026-10-28 02:01:20 -08:00
refactor: remove unused $player reference and add segmenter initialization log
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@@ -152,7 +152,7 @@ var _tfjsBackendCpu = require("@tensorflow/tfjs-backend-cpu");
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var _bodySegmentation = require("@tensorflow-models/body-segmentation");
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function artplayerPluginDanmukuMask(option = {}) {
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return (art)=>{
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const { template: { $player, $video, $danmuku } } = art;
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const { template: { $video, $danmuku } } = art;
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let segmenter = null;
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let canvas = null;
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let ctx = null;
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@@ -173,8 +173,7 @@ function artplayerPluginDanmukuMask(option = {}) {
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async function initTensorFlow() {
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try {
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await _tfjsCore.setBackend("webgl");
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console.log("Using WebGL backend");
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} catch (e) {
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} catch (error) {
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console.warn("WebGL backend not available, falling back to CPU");
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await _tfjsCore.setBackend("cpu");
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}
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@@ -194,8 +193,8 @@ function artplayerPluginDanmukuMask(option = {}) {
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};
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try {
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segmenter = await _bodySegmentation.createSegmenter(model, segmenterConfig);
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console.log("Segmenter initialized:", segmenter);
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isInitialized = true;
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console.log("Segmenter initialized successfully");
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} catch (error) {
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console.error("Error initializing segmenter:", error);
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isInitialized = false;
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@@ -213,16 +212,6 @@ function artplayerPluginDanmukuMask(option = {}) {
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function createCanvas() {
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canvas = document.createElement("canvas");
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ctx = canvas.getContext("2d");
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Object.assign(canvas.style, {
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position: "absolute",
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top: "0",
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left: "0",
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width: "100%",
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height: "100%",
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pointerEvents: "none",
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opacity: "0"
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});
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$player.appendChild(canvas);
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}
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function makeWhiteTransparent(imageData) {
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const data = imageData.data;
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