Update index.html
Browse files- index.html +230 -162
index.html
CHANGED
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@@ -3,210 +3,207 @@
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>AI 全息相框 -
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<script src="https://cdn.tailwindcss.com"></script>
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<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
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<style>
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/* --- 基础布局 --- */
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body { background-color: #020617; color: white; font-family: 'Segoe UI', sans-serif; overflow-x: hidden; touch-action: none; }
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.stage {
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perspective:
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width: 100%; max-width:
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position: relative; z-index: 20;
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}
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/* --- 3D 卡片容器 --- */
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.canvas-card {
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position: relative; width: 100%; aspect-ratio: 4/3;
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background: #0f172a; border-radius: 12px;
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box-shadow:
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0 0 0 1px rgba(34, 211, 238, 0.1),
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0 20px 50px -10px rgba(0, 0, 0, 0.8),
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0 0 100px -20px rgba(6, 182, 212, 0.15);
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transform-style: preserve-3d;
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transition: transform 0.1s cubic-bezier(0.
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overflow: hidden;
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}
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/* 玻璃质感反光层 */
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.glass-shine {
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position: absolute; inset: 0; pointer-events: none; z-index: 40;
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background: linear-gradient(135deg, rgba(255,255,255,0.1) 0%, transparent 40%, transparent 60%, rgba(255,255,255,0.05) 100%);
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mix-blend-mode: overlay;
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}
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canvas { width: 100%; height: 100%; object-fit: contain; display: block; image-rendering: pixelated; }
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/* --- HUD 装饰 --- */
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.hud-corner {
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position: absolute; width: 30px; height: 30px;
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border: 2px solid #22d3ee; z-index: 30; opacity: 0.6;
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transition: all 0.3s ease;
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box-shadow: 0 0 10px rgba(34, 211, 238, 0.3);
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}
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.tl { top: 10px; left: 10px; border-right: none; border-bottom: none; }
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.tr { top: 10px; right: 10px; border-left: none; border-bottom: none; }
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.bl { bottom: 10px; left: 10px; border-right: none; border-top: none; }
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.br { bottom: 10px; right: 10px; border-left: none; border-top: none; }
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/* 扫描线 */
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.scan-line {
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position: absolute; left: 0; right: 0; height: 2px;
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background: #fff;
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box-shadow: 0 0 15px #00f3ff, 0 0 30px #00f3ff;
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display: none; pointer-events: none; z-index:
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mix-blend-mode: overlay;
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}
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/*
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.mode-switch {
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background: rgba(
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border: 1px solid rgba(255,255,255,0.1);
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border-radius:
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}
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.mode-btn {
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padding: 8px
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font-size: 0.
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}
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.mode-btn:hover { color: #
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.mode-btn.active {
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background:
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color: #fff; box-shadow: 0 4px 12px rgba(6, 182, 212, 0.3);
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}
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.loading-overlay {
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position: absolute; inset: 0; background: rgba(2, 6, 23, 0.9);
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z-index: 50; display: flex; flex-direction: column;
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align-items: center; justify-content: center; backdrop-filter: blur(
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}
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.hidden { display: none !important; opacity: 0; pointer-events: none; }
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.spinner {
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width:
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border: 3px solid rgba(34, 211, 238, 0.1);
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border-top: 3px solid #22d3ee; border-radius: 50%;
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animation: spin
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}
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@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
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</style>
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</head>
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<body class="flex flex-col items-center min-h-screen py-
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<!-- 标题 -->
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<div class="text-center mb-
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<h1 class="text-
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DEPTH <span class="text-white">
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</h1>
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<p class="text-xs font-mono text-cyan-500/60 tracking-
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</div>
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<!-- 切换
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<div class="mb-
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<div class="mode-switch">
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<div class="mode-btn active" onclick="switchMode('holo')">
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<i class="fas fa-
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</div>
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<div class="mode-btn" onclick="switchMode('scan')">
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<i class="fas fa-radar
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</div>
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</div>
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</div>
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<!-- 舞台 -->
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<div class="stage">
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<div id="card" class="canvas-card
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<!-- 装饰 -->
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<div class="glass-shine"></div>
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<div class="hud-corner tl group-hover:top-2 group-hover:left-2"></div>
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<div class="hud-corner tr group-hover:top-2 group-hover:right-2"></div>
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<div class="hud-corner bl group-hover:bottom-2 group-hover:left-2"></div>
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<div class="hud-corner br group-hover:bottom-2 group-hover:right-2"></div>
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<!-- 加载层 -->
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<div id="loading-layer" class="loading-overlay hidden">
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<div id="spinner" class="spinner mb-4"></div>
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<div id="loading-text" class="text-
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<div id="
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<div id="progress-text" class="text-xs text-cyan-500 mt-2 font-mono"></div>
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</div>
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<canvas id="output-canvas"></canvas>
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<div id="scan-line" class="scan-line"></div>
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<div id="placeholder" class="absolute inset-0 flex flex-col items-center justify-center text-slate-600 pointer-events-none transition-opacity duration-300">
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<
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</div>
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<p class="text-sm font-bold tracking-widest opacity-60">UPLOAD IMAGE</p>
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</div>
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</div>
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</div>
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<!-- 底部按钮 -->
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<div class="mt-
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<label class="group cursor-pointer relative inline-flex items-center justify-center px-8 py-3 bg-slate-800 rounded-full border border-slate-700 hover:border-cyan-500 transition-all
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<span class="text-sm font-bold text-white flex items-center gap-2">
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<i class="fas fa-upload text-cyan-400"></i> <span id="upload-text">
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</span>
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<input type="file" id="upload" accept="image/*" class="hidden">
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</label>
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</div>
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<script type="module">
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import { pipeline, env, RawImage } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.16.0';
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env.allowLocalModels = false;
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env.useBrowserCache = true;
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const ui = {
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card: document.getElementById('card'),
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canvas: document.getElementById('output-canvas'),
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layer: document.getElementById('loading-layer'),
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spinner: document.getElementById('spinner'),
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text: document.getElementById('loading-text'),
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error: document.getElementById('loading-error'),
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progress: document.getElementById('progress-text'),
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scanLine: document.getElementById('scan-line'),
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placeholder: document.getElementById('placeholder'),
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fileInput: document.getElementById('upload'),
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btns: document.querySelectorAll('.mode-btn'),
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};
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const ctx = ui.canvas.getContext('2d', { willReadFrequently: true });
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let depthEstimator = null;
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let originalImageData = null;
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let depthData = null;
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let currentMode = 'holo';
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let isProcessing = false;
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let mouseX = 0, mouseY = 0;
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let renderLoopId = null;
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//
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const colormap = new Uint32Array(256);
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function initColormap() {
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for (let i = 0; i < 256; i++) {
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const t = i / 255;
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//
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let r = Math.min(255, Math.max(0, Math.floor(255 * (2 * t - 0.5))));
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let g = Math.min(255, Math.max(0, Math.floor(255 * (2 * t))));
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let b = Math.min(255, Math.max(0, Math.floor(255 * (1.5 - 2 * t))));
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//
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// ABGR (Little Endian)
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colormap[i] = (255 << 24) | (b << 16) | (g << 8) | r;
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}
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}
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initColormap();
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window.switchMode = (mode) => {
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currentMode = mode;
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ui.btns.forEach(btn => btn.classList.remove('active'));
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if(mode === 'holo') ui.btns[0].classList.add('active');
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else ui.btns[1].classList.add('active');
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} else {
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ui.scanLine.style.display = 'block';
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ui.card.style.transform = `rotateX(0deg) rotateY(0deg)`;
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// 切回扫描模式,先恢复黑白原图防止闪烁
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// if (originalImageData) ctx.putImageData(originalImageData, 0, 0);
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}
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};
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function setStatus(state, msg
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ui.layer.classList.remove('hidden');
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ui.text.textContent = msg;
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ui.
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if (state === 'loading') {
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ui.spinner.style.display = 'block';
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ui.text.className = "text-xl font-bold text-white tracking-widest";
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} else if (state === 'error') {
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ui.spinner.style.display = 'none';
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ui.text.className = "text-lg font-bold text-red-500";
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ui.error.textContent = errMsg;
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ui.error.classList.remove('hidden');
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} else if (state === 'hide') {
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ui.layer.classList.add('hidden');
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}
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}
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async function loadModel() {
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if (depthEstimator) return;
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try {
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depthEstimator = await pipeline('depth-estimation', 'Xenova/depth-anything-small-hf', {
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quantized: true,
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progress_callback: (data) => {
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if (data.status === 'progress') {
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const p = Math.round(data.progress);
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ui.progress.textContent = `
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}
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}
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});
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} catch (err) {
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setStatus('
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throw err;
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}
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}
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function processImage(file) {
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return new Promise((resolve) => {
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const reader = new FileReader();
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const img = new Image();
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img.src = e.target.result;
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img.onload = () => {
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const maxDim = 512;
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let w = img.width;
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let h = img.height;
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if (w > h) { h = Math.round(h * (maxDim / w)); w = maxDim; }
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else { w = Math.round(w * (maxDim / h)); h = maxDim; }
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}
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w = w - (w % 32); if(w===0) w=32;
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h = h - (h % 32); if(h===0) h=32;
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ui.canvas.width = w;
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ui.canvas.height = h;
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ctx.drawImage(img, 0, 0, w, h);
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const imgData = ctx.getImageData(0, 0, w, h);
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});
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}
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ui.fileInput.addEventListener('change', async (e) => {
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const file = e.target.files[0];
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if (!file) return;
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if (isProcessing) return;
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isProcessing = true;
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ui.uploadText.textContent = "
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if (renderLoopId) cancelAnimationFrame(renderLoopId);
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depthData = null;
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try {
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await loadModel();
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setStatus('loading', "
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ui.progress.textContent = "";
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const processed = await processImage(file);
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originalImageData = processed.imgData;
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setTimeout(async () => {
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try {
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const image = await RawImage.read(processed.url);
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const output = await depthEstimator(image);
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const rawDepth = output.depth;
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const dW = rawDepth.width;
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const dH = rawDepth.height;
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const dData = rawDepth.data;
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//
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let min = Infinity, max = -Infinity;
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for(let
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if(
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if(dData[i] > max) max = dData[i];
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}
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const range = max - min + 0.0001;
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//
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const rgbaBuffer = new Uint8ClampedArray(dW * dH * 4);
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for(let i=0; i<dW*dH; i++) {
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const val = Math.floor(((dData[i] - min) / range) * 255);
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rgbaBuffer[i*4] = val;
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rgbaBuffer[i*4+1] = val;
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rgbaBuffer[i*4+2] = val;
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rgbaBuffer[i*4+3] = 255;
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}
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//
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const tCanvas = document.createElement('canvas');
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tCanvas.width = dW; tCanvas.height = dH;
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tCanvas.getContext('2d').putImageData(new ImageData(rgbaBuffer, dW, dH), 0, 0);
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const finalDepthImg = scaleCanvas.getContext('2d').getImageData(0, 0, processed.width, processed.height);
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//
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depthData = new Uint8Array(finalDepthImg.data.length / 4);
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for(let i=0; i<depthData.length; i++)
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depthData[i] = finalDepthImg.data[i * 4];
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}
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setStatus('hide');
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startLoop();
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} catch (err) {
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console.error(err);
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setStatus('
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} finally {
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isProcessing = false;
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ui.uploadText.textContent = "
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}
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}, 50);
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} catch (err) {
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-
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setStatus('
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isProcessing = false;
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ui.uploadText.textContent = "
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}
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});
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function startLoop() {
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const container = document.body;
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-
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const handleMove = (x, y) => {
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const rect = ui.card.getBoundingClientRect();
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const cx = rect.left + rect.width
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const cy = rect.top + rect.height
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mouseX = (x - cx) / (window.innerWidth
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mouseY = (y - cy) / (window.innerHeight
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// 限制在 -1 到 1
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mouseX = Math.max(-1, Math.min(1, mouseX));
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mouseY = Math.max(-1, Math.min(1, mouseY));
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};
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-
container.onmousemove = (e) =>
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container.ontouchmove = (e) => {
|
| 402 |
e.preventDefault();
|
| 403 |
-
|
| 404 |
};
|
| 405 |
|
| 406 |
const loop = () => {
|
| 407 |
-
if (depthData && originalImageData
|
| 408 |
-
depthData.length === (originalImageData.width * originalImageData.height)) {
|
| 409 |
-
|
| 410 |
if (currentMode === 'holo') {
|
| 411 |
-
|
| 412 |
} else {
|
| 413 |
-
|
| 414 |
}
|
| 415 |
}
|
| 416 |
renderLoopId = requestAnimationFrame(loop);
|
|
@@ -418,39 +420,105 @@
|
|
| 418 |
loop();
|
| 419 |
}
|
| 420 |
|
| 421 |
-
//
|
| 422 |
-
|
| 423 |
-
|
| 424 |
-
|
| 425 |
-
|
| 426 |
-
const rotateY = mouseX * 10;
|
| 427 |
-
ui.card.style.transform = `rotateX(${rotateX}deg) rotateY(${rotateY}deg) scale(1.02)`;
|
| 428 |
|
| 429 |
const w = ui.canvas.width;
|
| 430 |
const h = ui.canvas.height;
|
| 431 |
const output = ctx.createImageData(w, h);
|
| 432 |
|
| 433 |
-
// 使用 Uint32Array 读写像素 (ABGR)
|
| 434 |
const buf32 = new Uint32Array(output.data.buffer);
|
| 435 |
const src32 = new Uint32Array(originalImageData.data.buffer);
|
| 436 |
|
| 437 |
-
// 光源方向 (反向鼠标位置)
|
| 438 |
const lx = -mouseX * 2;
|
| 439 |
const ly = -mouseY * 2;
|
| 440 |
-
const lz = 0.5;
|
| 441 |
|
| 442 |
for (let y = 1; y < h - 1; y++) {
|
| 443 |
const yw = y * w;
|
| 444 |
for (let x = 1; x < w - 1; x++) {
|
| 445 |
const i = yw + x;
|
| 446 |
|
| 447 |
-
// 计算法线
|
| 448 |
-
// dx = 右边深度 - 左边深度
|
| 449 |
-
// dy = 下边深度 - 上边深度
|
| 450 |
const dzdx = (depthData[i+1] - depthData[i-1]) / 255.0;
|
| 451 |
const dzdy = (depthData[i+w] - depthData[i-w]) / 255.0;
|
| 452 |
|
| 453 |
-
//
|
| 454 |
-
|
| 455 |
-
|
| 456 |
-
|
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|
|
|
| 3 |
<head>
|
| 4 |
<meta charset="UTF-8">
|
| 5 |
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
| 6 |
+
<title>AI 全息相框 - 调试增强版</title>
|
| 7 |
<script src="https://cdn.tailwindcss.com"></script>
|
| 8 |
<link href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.0.0/css/all.min.css" rel="stylesheet">
|
| 9 |
<style>
|
|
|
|
| 10 |
body { background-color: #020617; color: white; font-family: 'Segoe UI', sans-serif; overflow-x: hidden; touch-action: none; }
|
| 11 |
|
| 12 |
.stage {
|
| 13 |
+
perspective: 1000px;
|
| 14 |
+
width: 100%; max-width: 512px; margin: 0 auto;
|
| 15 |
position: relative; z-index: 20;
|
| 16 |
}
|
| 17 |
|
|
|
|
| 18 |
.canvas-card {
|
| 19 |
position: relative; width: 100%; aspect-ratio: 4/3;
|
| 20 |
background: #0f172a; border-radius: 12px;
|
| 21 |
+
box-shadow: 0 25px 60px rgba(0,0,0,0.7);
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
transform-style: preserve-3d;
|
| 23 |
+
transition: transform 0.1s cubic-bezier(0.25, 0.46, 0.45, 0.94);
|
| 24 |
+
overflow: hidden; border: 1px solid #334155;
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
}
|
| 26 |
|
| 27 |
canvas { width: 100%; height: 100%; object-fit: contain; display: block; image-rendering: pixelated; }
|
| 28 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 29 |
/* 扫描线 */
|
| 30 |
.scan-line {
|
| 31 |
position: absolute; left: 0; right: 0; height: 2px;
|
| 32 |
background: #fff;
|
| 33 |
box-shadow: 0 0 15px #00f3ff, 0 0 30px #00f3ff;
|
| 34 |
+
display: none; pointer-events: none; z-index: 30;
|
| 35 |
mix-blend-mode: overlay;
|
| 36 |
}
|
| 37 |
|
| 38 |
+
/* 模式切换按钮 */
|
| 39 |
.mode-switch {
|
| 40 |
+
background: rgba(30, 41, 59, 0.8); backdrop-filter: blur(8px);
|
| 41 |
border: 1px solid rgba(255,255,255,0.1);
|
| 42 |
+
border-radius: 99px; padding: 4px; display: inline-flex; gap: 4px;
|
| 43 |
}
|
| 44 |
.mode-btn {
|
| 45 |
+
padding: 8px 20px; border-radius: 99px; cursor: pointer; transition: all 0.2s;
|
| 46 |
+
font-size: 0.85rem; font-weight: 600; color: #94a3b8; display: flex; items-center; gap: 6px;
|
| 47 |
}
|
| 48 |
+
.mode-btn:hover { color: #fff; background: rgba(255,255,255,0.05); }
|
| 49 |
.mode-btn.active {
|
| 50 |
+
background: #06b6d4; color: #fff; box-shadow: 0 2px 10px rgba(6, 182, 212, 0.4);
|
|
|
|
| 51 |
}
|
| 52 |
|
| 53 |
+
/* 加载层 */
|
| 54 |
.loading-overlay {
|
| 55 |
position: absolute; inset: 0; background: rgba(2, 6, 23, 0.9);
|
| 56 |
z-index: 50; display: flex; flex-direction: column;
|
| 57 |
+
align-items: center; justify-content: center; backdrop-filter: blur(4px);
|
| 58 |
}
|
| 59 |
.hidden { display: none !important; opacity: 0; pointer-events: none; }
|
| 60 |
|
| 61 |
.spinner {
|
| 62 |
+
width: 40px; height: 40px; border: 3px solid rgba(34, 211, 238, 0.1);
|
|
|
|
| 63 |
border-top: 3px solid #22d3ee; border-radius: 50%;
|
| 64 |
+
animation: spin 1s linear infinite;
|
| 65 |
}
|
| 66 |
@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
|
| 67 |
+
|
| 68 |
+
/* 调试日志窗口 */
|
| 69 |
+
#debug-console {
|
| 70 |
+
width: 100%; max-width: 600px; height: 150px;
|
| 71 |
+
background: #000; border: 1px solid #333;
|
| 72 |
+
font-family: 'Consolas', monospace; font-size: 11px; color: #0f0;
|
| 73 |
+
overflow-y: auto; padding: 10px; margin-top: 20px;
|
| 74 |
+
border-radius: 8px; opacity: 0.9; box-shadow: inset 0 0 10px rgba(0,0,0,0.5);
|
| 75 |
+
}
|
| 76 |
+
#debug-console div { margin-bottom: 2px; border-bottom: 1px solid #111; }
|
| 77 |
</style>
|
| 78 |
</head>
|
| 79 |
+
<body class="flex flex-col items-center min-h-screen py-6 px-4">
|
| 80 |
|
| 81 |
<!-- 标题 -->
|
| 82 |
+
<div class="text-center mb-6 relative z-10">
|
| 83 |
+
<h1 class="text-4xl font-black italic tracking-tighter text-transparent bg-clip-text bg-gradient-to-r from-cyan-300 to-blue-500 mb-2">
|
| 84 |
+
DEPTH <span class="text-white">LOGS</span>
|
| 85 |
</h1>
|
| 86 |
+
<p class="text-xs font-mono text-cyan-500/60 tracking-widest">DIAGNOSTIC MODE</p>
|
| 87 |
</div>
|
| 88 |
|
| 89 |
+
<!-- 模式切换 -->
|
| 90 |
+
<div class="mb-6 relative z-10">
|
| 91 |
<div class="mode-switch">
|
| 92 |
<div class="mode-btn active" onclick="switchMode('holo')">
|
| 93 |
+
<i class="fas fa-cube"></i> 3D 浮雕
|
| 94 |
</div>
|
| 95 |
<div class="mode-btn" onclick="switchMode('scan')">
|
| 96 |
+
<i class="fas fa-radar"></i> 热力扫描
|
| 97 |
</div>
|
| 98 |
</div>
|
| 99 |
</div>
|
| 100 |
|
| 101 |
<!-- 舞台 -->
|
| 102 |
<div class="stage">
|
| 103 |
+
<div id="card" class="canvas-card">
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
<div id="loading-layer" class="loading-overlay hidden">
|
| 105 |
<div id="spinner" class="spinner mb-4"></div>
|
| 106 |
+
<div id="loading-text" class="text-lg font-bold text-white tracking-widest">LOADING</div>
|
| 107 |
+
<div id="progress-text" class="text-xs text-cyan-400 mt-2 font-mono"></div>
|
|
|
|
| 108 |
</div>
|
| 109 |
|
| 110 |
<canvas id="output-canvas"></canvas>
|
| 111 |
<div id="scan-line" class="scan-line"></div>
|
| 112 |
|
| 113 |
<div id="placeholder" class="absolute inset-0 flex flex-col items-center justify-center text-slate-600 pointer-events-none transition-opacity duration-300">
|
| 114 |
+
<i class="fas fa-image text-5xl mb-3 opacity-30"></i>
|
| 115 |
+
<p class="text-xs font-mono opacity-50">WAITING FOR INPUT</p>
|
|
|
|
|
|
|
| 116 |
</div>
|
| 117 |
</div>
|
| 118 |
</div>
|
| 119 |
|
| 120 |
<!-- 底部按钮 -->
|
| 121 |
+
<div class="mt-8 relative z-10">
|
| 122 |
+
<label class="group cursor-pointer relative inline-flex items-center justify-center px-8 py-3 bg-slate-800 rounded-full border border-slate-700 hover:border-cyan-500 transition-all shadow-lg">
|
| 123 |
<span class="text-sm font-bold text-white flex items-center gap-2">
|
| 124 |
+
<i class="fas fa-upload text-cyan-400"></i> <span id="upload-text">上传照片</span>
|
| 125 |
</span>
|
| 126 |
<input type="file" id="upload" accept="image/*" class="hidden">
|
| 127 |
</label>
|
| 128 |
</div>
|
| 129 |
|
| 130 |
+
<!-- 日志窗口 -->
|
| 131 |
+
<div id="debug-console">
|
| 132 |
+
<div style="color:#aaa">> System initialized. Waiting for user input...</div>
|
| 133 |
+
</div>
|
| 134 |
+
|
| 135 |
<script type="module">
|
| 136 |
import { pipeline, env, RawImage } from 'https://cdn.jsdelivr.net/npm/@xenova/transformers@2.16.0';
|
| 137 |
|
| 138 |
+
// 配置:强制远程加载
|
| 139 |
env.allowLocalModels = false;
|
| 140 |
env.useBrowserCache = true;
|
| 141 |
|
| 142 |
+
// UI 引用
|
| 143 |
const ui = {
|
| 144 |
card: document.getElementById('card'),
|
| 145 |
canvas: document.getElementById('output-canvas'),
|
| 146 |
layer: document.getElementById('loading-layer'),
|
|
|
|
| 147 |
text: document.getElementById('loading-text'),
|
|
|
|
| 148 |
progress: document.getElementById('progress-text'),
|
| 149 |
scanLine: document.getElementById('scan-line'),
|
| 150 |
placeholder: document.getElementById('placeholder'),
|
| 151 |
fileInput: document.getElementById('upload'),
|
| 152 |
+
uploadText: document.getElementById('upload-text'),
|
| 153 |
btns: document.querySelectorAll('.mode-btn'),
|
| 154 |
+
console: document.getElementById('debug-console')
|
| 155 |
};
|
| 156 |
|
| 157 |
const ctx = ui.canvas.getContext('2d', { willReadFrequently: true });
|
| 158 |
|
| 159 |
let depthEstimator = null;
|
| 160 |
let originalImageData = null;
|
| 161 |
+
let depthData = null;
|
| 162 |
let currentMode = 'holo';
|
| 163 |
let isProcessing = false;
|
| 164 |
+
let mouseX = 0, mouseY = 0;
|
| 165 |
let renderLoopId = null;
|
| 166 |
|
| 167 |
+
// --- 日志工具 ---
|
| 168 |
+
function log(msg, type='info') {
|
| 169 |
+
const time = new Date().toLocaleTimeString();
|
| 170 |
+
let color = '#aaa';
|
| 171 |
+
if (type === 'success') color = '#4ade80'; // Green
|
| 172 |
+
if (type === 'error') color = '#ef4444'; // Red
|
| 173 |
+
if (type === 'warn') color = '#facc15'; // Yellow
|
| 174 |
+
if (type === 'cmd') color = '#22d3ee'; // Cyan
|
| 175 |
+
|
| 176 |
+
const el = document.createElement('div');
|
| 177 |
+
el.style.color = color;
|
| 178 |
+
el.innerHTML = `[${time}] ${msg}`;
|
| 179 |
+
ui.console.appendChild(el);
|
| 180 |
+
ui.console.scrollTop = ui.console.scrollHeight;
|
| 181 |
+
console.log(`[${type}] ${msg}`);
|
| 182 |
+
}
|
| 183 |
+
|
| 184 |
+
// --- 热力图色谱初始化 ---
|
| 185 |
const colormap = new Uint32Array(256);
|
| 186 |
function initColormap() {
|
| 187 |
for (let i = 0; i < 256; i++) {
|
| 188 |
const t = i / 255;
|
| 189 |
+
// Turbo-like gradient
|
| 190 |
let r = Math.min(255, Math.max(0, Math.floor(255 * (2 * t - 0.5))));
|
| 191 |
let g = Math.min(255, Math.max(0, Math.floor(255 * (2 * t))));
|
| 192 |
let b = Math.min(255, Math.max(0, Math.floor(255 * (1.5 - 2 * t))));
|
| 193 |
+
if (t > 0.8) { r=255; g=255; b=200; } // Highlights
|
| 194 |
+
// ABGR Little Endian: A B G R
|
|
|
|
|
|
|
| 195 |
colormap[i] = (255 << 24) | (b << 16) | (g << 8) | r;
|
| 196 |
}
|
| 197 |
+
log("Color map initialized", "success");
|
| 198 |
}
|
| 199 |
initColormap();
|
| 200 |
|
| 201 |
+
// --- 模式切换 ---
|
| 202 |
window.switchMode = (mode) => {
|
| 203 |
+
if (currentMode === mode) return;
|
| 204 |
currentMode = mode;
|
| 205 |
+
log(`切换模式: ${mode.toUpperCase()}`, "cmd");
|
| 206 |
+
|
| 207 |
ui.btns.forEach(btn => btn.classList.remove('active'));
|
| 208 |
if(mode === 'holo') ui.btns[0].classList.add('active');
|
| 209 |
else ui.btns[1].classList.add('active');
|
|
|
|
| 214 |
} else {
|
| 215 |
ui.scanLine.style.display = 'block';
|
| 216 |
ui.card.style.transform = `rotateX(0deg) rotateY(0deg)`;
|
|
|
|
|
|
|
| 217 |
}
|
| 218 |
};
|
| 219 |
|
| 220 |
+
function setStatus(state, msg) {
|
| 221 |
ui.layer.classList.remove('hidden');
|
| 222 |
ui.text.textContent = msg;
|
| 223 |
+
if (state === 'hide') ui.layer.classList.add('hidden');
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 224 |
}
|
| 225 |
|
| 226 |
+
// --- 1. 加载模型 ---
|
| 227 |
async function loadModel() {
|
| 228 |
if (depthEstimator) return;
|
| 229 |
+
log("开始加载 AI 模型...", "warn");
|
| 230 |
+
setStatus('loading', "CONNECTING...");
|
| 231 |
try {
|
| 232 |
depthEstimator = await pipeline('depth-estimation', 'Xenova/depth-anything-small-hf', {
|
| 233 |
quantized: true,
|
| 234 |
progress_callback: (data) => {
|
| 235 |
if (data.status === 'progress') {
|
| 236 |
const p = Math.round(data.progress);
|
| 237 |
+
ui.progress.textContent = `${data.file} - ${p}%`;
|
| 238 |
+
if (p % 20 === 0) log(`Downloading: ${p}%`);
|
| 239 |
}
|
| 240 |
}
|
| 241 |
});
|
| 242 |
+
log("模型加载成功!", "success");
|
| 243 |
} catch (err) {
|
| 244 |
+
log("模型加载失败: " + err.message, "error");
|
| 245 |
+
setStatus('loading', "LOAD FAILED");
|
| 246 |
throw err;
|
| 247 |
}
|
| 248 |
}
|
| 249 |
|
| 250 |
+
// --- 2. 图片处理 (关键:32倍数对齐) ---
|
| 251 |
function processImage(file) {
|
| 252 |
return new Promise((resolve) => {
|
| 253 |
const reader = new FileReader();
|
|
|
|
| 255 |
const img = new Image();
|
| 256 |
img.src = e.target.result;
|
| 257 |
img.onload = () => {
|
| 258 |
+
log(`原图尺寸: ${img.width}x${img.height}`);
|
| 259 |
+
|
| 260 |
const maxDim = 512;
|
| 261 |
let w = img.width;
|
| 262 |
let h = img.height;
|
|
|
|
| 264 |
if (w > h) { h = Math.round(h * (maxDim / w)); w = maxDim; }
|
| 265 |
else { w = Math.round(w * (maxDim / h)); h = maxDim; }
|
| 266 |
}
|
| 267 |
+
|
| 268 |
+
// 强制对齐 32
|
| 269 |
w = w - (w % 32); if(w===0) w=32;
|
| 270 |
h = h - (h % 32); if(h===0) h=32;
|
| 271 |
|
| 272 |
+
log(`调整后尺寸: ${w}x${h} (32倍数)`, "info");
|
| 273 |
+
|
| 274 |
ui.canvas.width = w;
|
| 275 |
ui.canvas.height = h;
|
| 276 |
+
|
| 277 |
+
ctx.clearRect(0, 0, w, h);
|
| 278 |
ctx.drawImage(img, 0, 0, w, h);
|
| 279 |
|
| 280 |
const imgData = ctx.getImageData(0, 0, w, h);
|
|
|
|
| 292 |
});
|
| 293 |
}
|
| 294 |
|
| 295 |
+
// --- 3. 主逻辑 ---
|
| 296 |
ui.fileInput.addEventListener('change', async (e) => {
|
| 297 |
const file = e.target.files[0];
|
| 298 |
+
ui.fileInput.value = ''; // 允许重复上传
|
| 299 |
+
|
| 300 |
if (!file) return;
|
| 301 |
if (isProcessing) return;
|
| 302 |
+
|
| 303 |
isProcessing = true;
|
| 304 |
+
ui.uploadText.textContent = "处理中...";
|
| 305 |
+
|
| 306 |
if (renderLoopId) cancelAnimationFrame(renderLoopId);
|
| 307 |
depthData = null;
|
| 308 |
|
| 309 |
try {
|
| 310 |
await loadModel();
|
| 311 |
+
setStatus('loading', "PROCESSING...");
|
| 312 |
ui.progress.textContent = "";
|
| 313 |
|
| 314 |
const processed = await processImage(file);
|
| 315 |
originalImageData = processed.imgData;
|
| 316 |
+
|
| 317 |
+
// 立即显示原图,防止白屏
|
| 318 |
+
ctx.putImageData(originalImageData, 0, 0);
|
| 319 |
+
setStatus('hide'); // 先隐藏加载层,让用户看到图
|
| 320 |
+
|
| 321 |
+
// 短暂延迟后开始推理
|
| 322 |
+
setStatus('loading', "AI INFERENCE...");
|
| 323 |
|
| 324 |
setTimeout(async () => {
|
| 325 |
try {
|
| 326 |
const image = await RawImage.read(processed.url);
|
| 327 |
const output = await depthEstimator(image);
|
| 328 |
|
| 329 |
+
log("深度推理完成", "success");
|
| 330 |
+
|
| 331 |
+
// 手动转换 Tensor -> RGBA
|
| 332 |
const rawDepth = output.depth;
|
| 333 |
const dW = rawDepth.width;
|
| 334 |
const dH = rawDepth.height;
|
| 335 |
const dData = rawDepth.data;
|
| 336 |
|
| 337 |
+
// 归一化深度值
|
| 338 |
let min = Infinity, max = -Infinity;
|
| 339 |
+
for(let v of dData) {
|
| 340 |
+
if(v<min) min=v; if(v>max) max=v;
|
|
|
|
| 341 |
}
|
| 342 |
const range = max - min + 0.0001;
|
| 343 |
|
| 344 |
+
// 构建 4 通道数据
|
| 345 |
const rgbaBuffer = new Uint8ClampedArray(dW * dH * 4);
|
| 346 |
for(let i=0; i<dW*dH; i++) {
|
| 347 |
const val = Math.floor(((dData[i] - min) / range) * 255);
|
| 348 |
+
rgbaBuffer[i*4] = val;
|
| 349 |
+
rgbaBuffer[i*4+1] = val;
|
| 350 |
+
rgbaBuffer[i*4+2] = val;
|
| 351 |
+
rgbaBuffer[i*4+3] = 255;
|
| 352 |
}
|
| 353 |
|
| 354 |
+
// 缩放深度图
|
| 355 |
const tCanvas = document.createElement('canvas');
|
| 356 |
tCanvas.width = dW; tCanvas.height = dH;
|
| 357 |
tCanvas.getContext('2d').putImageData(new ImageData(rgbaBuffer, dW, dH), 0, 0);
|
|
|
|
| 362 |
|
| 363 |
const finalDepthImg = scaleCanvas.getContext('2d').getImageData(0, 0, processed.width, processed.height);
|
| 364 |
|
| 365 |
+
// 保存单通道深度
|
| 366 |
depthData = new Uint8Array(finalDepthImg.data.length / 4);
|
| 367 |
+
for(let i=0; i<depthData.length; i++) depthData[i] = finalDepthImg.data[i*4];
|
|
|
|
|
|
|
| 368 |
|
| 369 |
+
log("数据处理完毕,启动渲染循环", "success");
|
| 370 |
setStatus('hide');
|
| 371 |
startLoop();
|
| 372 |
|
| 373 |
} catch (err) {
|
| 374 |
+
log("推理错误: " + err.message, "error");
|
| 375 |
console.error(err);
|
| 376 |
+
setStatus('loading', "ERROR");
|
| 377 |
} finally {
|
| 378 |
isProcessing = false;
|
| 379 |
+
ui.uploadText.textContent = "上传照片";
|
| 380 |
}
|
| 381 |
}, 50);
|
| 382 |
} catch (err) {
|
| 383 |
+
log("主流程错误: " + err.message, "error");
|
| 384 |
+
setStatus('loading', "ERROR");
|
| 385 |
isProcessing = false;
|
| 386 |
+
ui.uploadText.textContent = "上传照片";
|
| 387 |
}
|
| 388 |
});
|
| 389 |
|
| 390 |
+
// --- 4. 渲染循环 ---
|
| 391 |
function startLoop() {
|
| 392 |
const container = document.body;
|
| 393 |
|
| 394 |
+
const updateMouse = (x, y) => {
|
|
|
|
| 395 |
const rect = ui.card.getBoundingClientRect();
|
| 396 |
+
const cx = rect.left + rect.width/2;
|
| 397 |
+
const cy = rect.top + rect.height/2;
|
| 398 |
+
mouseX = (x - cx) / (window.innerWidth/2);
|
| 399 |
+
mouseY = (y - cy) / (window.innerHeight/2);
|
|
|
|
|
|
|
| 400 |
mouseX = Math.max(-1, Math.min(1, mouseX));
|
| 401 |
mouseY = Math.max(-1, Math.min(1, mouseY));
|
| 402 |
};
|
| 403 |
|
| 404 |
+
container.onmousemove = (e) => updateMouse(e.clientX, e.clientY);
|
| 405 |
container.ontouchmove = (e) => {
|
| 406 |
e.preventDefault();
|
| 407 |
+
updateMouse(e.touches[0].clientX, e.touches[0].clientY);
|
| 408 |
};
|
| 409 |
|
| 410 |
const loop = () => {
|
| 411 |
+
if (depthData && originalImageData) {
|
|
|
|
|
|
|
| 412 |
if (currentMode === 'holo') {
|
| 413 |
+
renderRelief();
|
| 414 |
} else {
|
| 415 |
+
renderHeatmap();
|
| 416 |
}
|
| 417 |
}
|
| 418 |
renderLoopId = requestAnimationFrame(loop);
|
|
|
|
| 420 |
loop();
|
| 421 |
}
|
| 422 |
|
| 423 |
+
// 渲染模式 A: 浮雕光影 (无撕裂)
|
| 424 |
+
function renderRelief() {
|
| 425 |
+
const rotateX = -mouseY * 12;
|
| 426 |
+
const rotateY = mouseX * 12;
|
| 427 |
+
ui.card.style.transform = `rotateX(${rotateX}deg) rotateY(${rotateY}deg)`;
|
|
|
|
|
|
|
| 428 |
|
| 429 |
const w = ui.canvas.width;
|
| 430 |
const h = ui.canvas.height;
|
| 431 |
const output = ctx.createImageData(w, h);
|
| 432 |
|
|
|
|
| 433 |
const buf32 = new Uint32Array(output.data.buffer);
|
| 434 |
const src32 = new Uint32Array(originalImageData.data.buffer);
|
| 435 |
|
|
|
|
| 436 |
const lx = -mouseX * 2;
|
| 437 |
const ly = -mouseY * 2;
|
| 438 |
+
const lz = 0.5;
|
| 439 |
|
| 440 |
for (let y = 1; y < h - 1; y++) {
|
| 441 |
const yw = y * w;
|
| 442 |
for (let x = 1; x < w - 1; x++) {
|
| 443 |
const i = yw + x;
|
| 444 |
|
| 445 |
+
// 计算法线
|
|
|
|
|
|
|
| 446 |
const dzdx = (depthData[i+1] - depthData[i-1]) / 255.0;
|
| 447 |
const dzdy = (depthData[i+w] - depthData[i-w]) / 255.0;
|
| 448 |
|
| 449 |
+
// 光照计算
|
| 450 |
+
let intensity = (-dzdx * lx - dzdy * ly + lz);
|
| 451 |
+
intensity = Math.max(0.5, Math.min(1.5, intensity + 0.6));
|
| 452 |
+
|
| 453 |
+
const pixel = src32[i];
|
| 454 |
+
const r = (pixel & 0xff);
|
| 455 |
+
const g = (pixel >> 8) & 0xff;
|
| 456 |
+
const b = (pixel >> 16) & 0xff;
|
| 457 |
+
|
| 458 |
+
const nr = Math.min(255, r * intensity);
|
| 459 |
+
const ng = Math.min(255, g * intensity);
|
| 460 |
+
const nb = Math.min(255, b * intensity);
|
| 461 |
+
|
| 462 |
+
buf32[i] = (255 << 24) | (nb << 16) | (ng << 8) | nr;
|
| 463 |
+
}
|
| 464 |
+
}
|
| 465 |
+
ctx.putImageData(output, 0, 0);
|
| 466 |
+
}
|
| 467 |
+
|
| 468 |
+
// 渲染模式 B: 热力扫描
|
| 469 |
+
function renderHeatmap() {
|
| 470 |
+
const scanRatio = (mouseY + 1) / 2;
|
| 471 |
+
const scanYPx = Math.max(0, Math.min(ui.canvas.height, scanRatio * ui.canvas.height));
|
| 472 |
+
ui.scanLine.style.top = `${scanYPx}px`;
|
| 473 |
+
|
| 474 |
+
const targetDepth = Math.floor(scanRatio * 255);
|
| 475 |
+
const w = ui.canvas.width;
|
| 476 |
+
const h = ui.canvas.height;
|
| 477 |
+
const output = ctx.createImageData(w, h);
|
| 478 |
+
|
| 479 |
+
const buf32 = new Uint32Array(output.data.buffer);
|
| 480 |
+
const src32 = new Uint32Array(originalImageData.data.buffer);
|
| 481 |
+
|
| 482 |
+
const range = 25;
|
| 483 |
+
|
| 484 |
+
for (let i = 0; i < w * h; i++) {
|
| 485 |
+
const depth = depthData[i];
|
| 486 |
+
|
| 487 |
+
if (Math.abs(depth - targetDepth) < range) {
|
| 488 |
+
// 热力图颜色混合
|
| 489 |
+
const color = colormap[depth];
|
| 490 |
+
const src = src32[i];
|
| 491 |
+
|
| 492 |
+
// 简单混合:原图 50% + 热力色 50%
|
| 493 |
+
const cr = (color & 0xff);
|
| 494 |
+
const cg = (color >> 8) & 0xff;
|
| 495 |
+
const cb = (color >> 16) & 0xff;
|
| 496 |
+
|
| 497 |
+
const sr = (src & 0xff);
|
| 498 |
+
const sg = (src >> 8) & 0xff;
|
| 499 |
+
const sb = (src >> 16) & 0xff;
|
| 500 |
+
|
| 501 |
+
const nr = (sr + cr) >> 1;
|
| 502 |
+
const ng = (sg + cg) >> 1;
|
| 503 |
+
const nb = (sb + cb) >> 1;
|
| 504 |
+
|
| 505 |
+
buf32[i] = (255 << 24) | (nb << 16) | (ng << 8) | nr;
|
| 506 |
+
|
| 507 |
+
} else if (depth > targetDepth) {
|
| 508 |
+
buf32[i] = src32[i]; // 原图
|
| 509 |
+
} else {
|
| 510 |
+
// 变暗
|
| 511 |
+
const src = src32[i];
|
| 512 |
+
const r = (src & 0xff);
|
| 513 |
+
const g = (src >> 8) & 0xff;
|
| 514 |
+
const b = (src >> 16) & 0xff;
|
| 515 |
+
const gray = (r * 0.3 + g * 0.59 + b * 0.11) * 0.2;
|
| 516 |
+
|
| 517 |
+
buf32[i] = (255 << 24) | (gray << 16) | (gray << 8) | gray;
|
| 518 |
+
}
|
| 519 |
+
}
|
| 520 |
+
ctx.putImageData(output, 0, 0);
|
| 521 |
+
}
|
| 522 |
+
</script>
|
| 523 |
+
</body>
|
| 524 |
+
</html>
|