JianMiauandClaude Fable 5
c894b98e48
根本原因： 管理頁把原始解析度照片（2244x4131）直接餵給 MindAR 編譯器，特徵檔隨圖片尺寸與張數暴漲。2 張時 iOS Safari 勉強可用，新增至 4 張重新編譯後，掃描頁的 WebGL 資源超出 iOS 上限，辨識引擎無聲失效——相機畫面正常但掃任何照片都沒反應；桌面 Chrome 資源上限較高所以不受影響。 影響： NAS 部署（4 組配對）後 iPhone 完全無法辨識任何照片，服務等同不可用。 修法： 編譯前先在瀏覽器端把照片縮到長邊 1280px（canvas 縮圖後餵給編譯器），特徵檔由 4.05MB 降為 2.76MB。已用 Playwright 假相機對 NAS 實測，4 張照片皆可在 2 秒內辨識並播放對應影片；配對 aspect 仍以原圖計算，顯示比例不變。 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
265 lines
10 KiB
HTML
265 lines
10 KiB
HTML
<!doctype html>
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<html lang="zh-Hant">
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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">
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<title>動態相片管理</title>
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<style>
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:root { color-scheme: light dark; }
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* { box-sizing: border-box; }
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body {
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margin: 0; padding: 24px; font-family: system-ui, -apple-system, "Noto Sans TC", sans-serif;
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background: #f2f4f8; color: #1c2333;
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}
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@media (prefers-color-scheme: dark) {
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body { background: #0f1219; color: #e8ecf5; }
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.card { background: #1a1f2b !important; }
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th { color: #9aa4bd !important; }
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input[type="text"] { background: #0f1219; color: #e8ecf5; border-color: #333c50 !important; }
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}
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h1 { font-size: 22px; margin: 0 0 4px; }
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.sub { color: #6b7590; font-size: 14px; margin: 0 0 24px; }
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.card {
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background: #fff; border-radius: 12px; padding: 20px; margin-bottom: 20px;
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box-shadow: 0 1px 3px rgba(0,0,0,.08); max-width: 860px;
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}
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.card h2 { font-size: 16px; margin: 0 0 14px; }
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form { display: flex; flex-wrap: wrap; gap: 12px; align-items: end; }
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label { display: flex; flex-direction: column; gap: 6px; font-size: 13px; color: #6b7590; }
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input[type="text"] { padding: 8px 10px; border: 1px solid #d4dae6; border-radius: 8px; font-size: 14px; width: 180px; }
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input[type="file"] { font-size: 13px; max-width: 230px; }
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button {
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padding: 9px 20px; border: none; border-radius: 8px; font-size: 14px; font-weight: 600;
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cursor: pointer; background: #2b6cf5; color: #fff;
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}
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button:disabled { opacity: .5; cursor: default; }
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button.danger { background: transparent; color: #d33; padding: 4px 8px; font-weight: 400; }
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button.big { padding: 12px 28px; }
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table { width: 100%; border-collapse: collapse; font-size: 14px; }
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th { text-align: left; font-size: 12px; color: #6b7590; font-weight: 500; padding: 6px 8px; }
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td { padding: 8px; border-top: 1px solid rgba(128,128,128,.15); vertical-align: middle; }
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td img { width: 72px; height: 54px; object-fit: cover; border-radius: 6px; display: block; }
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.badge { display: inline-block; padding: 3px 10px; border-radius: 999px; font-size: 12px; font-weight: 600; }
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.badge.warn { background: #fff3d6; color: #8a6100; }
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.badge.ok { background: #d9f2e2; color: #12703c; }
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@media (prefers-color-scheme: dark) {
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.badge.warn { background: #443a14; color: #ffd45e; }
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.badge.ok { background: #10331f; color: #5fd68f; }
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}
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#msg { font-size: 14px; margin-top: 10px; min-height: 1.4em; }
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#msg.err { color: #d33; }
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.muted { color: #6b7590; font-size: 13px; }
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progress { width: 240px; }
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</style>
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</head>
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<body>
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<h1>動態相片管理</h1>
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<p class="sub">照片＝key、影片＝value。新增或刪除配對後，記得按「重新編譯」產生辨識特徵檔。掃描頁：<a id="viewerLink" href="#">載入中…</a></p>
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<div class="card">
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<h2>新增配對</h2>
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<form id="addForm">
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<label>照片（jpg / png）<input type="file" name="photo" accept=".jpg,.jpeg,.png" required></label>
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<label>影片（mp4 建議 H.264）<input type="file" name="video" accept=".mp4,.m4v,.mov,.webm" required></label>
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<button type="submit" id="addBtn">上傳</button>
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</form>
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<div id="msg"></div>
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</div>
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<div class="card">
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<h2>辨識特徵檔 <span id="compileBadge"></span></h2>
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<p class="muted">編譯在你目前的瀏覽器執行（建議用桌機，每張照片約 10～30 秒），完成後自動上傳到伺服器。</p>
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<button id="compileBtn" class="big">重新編譯全部照片</button>
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<span id="compileStatus" class="muted" style="margin-left:12px"></span>
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<div><progress id="compileProgress" max="100" value="0" hidden></progress></div>
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</div>
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<div class="card">
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<h2>已登錄配對（<span id="count">0</span>）</h2>
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<table>
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<thead><tr><th>照片</th><th>名稱</th><th>影片</th><th>建立時間</th><th></th></tr></thead>
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<tbody id="rows"></tbody>
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</table>
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</div>
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<script>
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let state = null;
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async function refresh() {
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state = await (await fetch('/api/state')).json();
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document.getElementById('count').textContent = state.pairs.length;
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const viewerUrl = `https://${location.hostname}:${state.ports.viewer}/`;
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const viewerLink = document.getElementById('viewerLink');
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viewerLink.href = viewerUrl;
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viewerLink.textContent = viewerUrl;
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const badge = document.getElementById('compileBadge');
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if (state.needsCompile) {
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badge.className = 'badge warn';
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badge.textContent = '有變更尚未編譯';
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} else if (state.targets && state.targets.targets.length) {
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badge.className = 'badge ok';
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badge.textContent = '已是最新（' + new Date(state.targets.compiledAt).toLocaleString() + '）';
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} else {
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badge.className = 'badge warn';
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badge.textContent = '尚未編譯';
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}
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const tbody = document.getElementById('rows');
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tbody.textContent = '';
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for (const p of state.pairs) {
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const tr = document.createElement('tr');
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const tdImg = document.createElement('td');
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const img = document.createElement('img');
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img.src = '/data/photos/' + encodeURIComponent(p.photo);
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tdImg.appendChild(img);
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const tdName = document.createElement('td');
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tdName.textContent = p.name;
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const tdVideo = document.createElement('td');
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const a = document.createElement('a');
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a.href = '/data/videos/' + encodeURIComponent(p.video);
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a.target = '_blank';
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a.textContent = p.video;
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tdVideo.appendChild(a);
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const tdTime = document.createElement('td');
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tdTime.className = 'muted';
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tdTime.textContent = new Date(p.createdAt).toLocaleString();
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const tdDel = document.createElement('td');
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const del = document.createElement('button');
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del.className = 'danger';
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del.textContent = '刪除';
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del.onclick = async () => {
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if (!confirm('確定刪除「' + p.name + '」？照片與影片檔案將一併移除。')) return;
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await fetch('/api/pairs/' + p.id, { method: 'DELETE' });
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refresh();
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};
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tdDel.appendChild(del);
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tr.append(tdImg, tdName, tdVideo, tdTime, tdDel);
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tbody.appendChild(tr);
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}
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}
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document.getElementById('addForm').addEventListener('submit', async (e) => {
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e.preventDefault();
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const btn = document.getElementById('addBtn');
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const msg = document.getElementById('msg');
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btn.disabled = true;
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msg.className = '';
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msg.textContent = '上傳中…';
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try {
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const res = await fetch('/api/pairs', { method: 'POST', body: new FormData(e.target) });
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const json = await res.json();
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if (!res.ok) throw new Error(json.error || res.statusText);
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msg.textContent = '已新增，請記得重新編譯。';
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e.target.reset();
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refresh();
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} catch (err) {
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msg.className = 'err';
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msg.textContent = '上傳失敗：' + err.message;
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} finally {
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btn.disabled = false;
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}
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});
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function loadImage(url) {
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return new Promise((resolve, reject) => {
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const img = new Image();
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img.onload = () => resolve(img);
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img.onerror = () => reject(new Error('讀取照片失敗：' + url));
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img.src = url;
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});
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}
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let compilerLoaded = false;
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function loadCompilerScript() {
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if (compilerLoaded) return Promise.resolve();
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return new Promise((resolve, reject) => {
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const s = document.createElement('script');
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s.type = 'module'; // mind-ar 編譯器是 ES module，會自行掛上 window.MINDAR
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s.src = '/vendor/mindar-image.prod.js';
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s.onload = () => { compilerLoaded = true; resolve(); };
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s.onerror = () => reject(new Error('無法載入 MindAR 編譯器'));
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document.head.appendChild(s);
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});
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}
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document.getElementById('compileBtn').addEventListener('click', async () => {
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const btn = document.getElementById('compileBtn');
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const status = document.getElementById('compileStatus');
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const bar = document.getElementById('compileProgress');
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if (!state || !state.pairs.length) {
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status.textContent = '沒有任何配對可編譯。';
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return;
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}
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btn.disabled = true;
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bar.hidden = false;
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bar.value = 0;
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try {
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status.textContent = '載入編譯器…';
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await loadCompilerScript();
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status.textContent = '載入照片…';
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const pairs = state.pairs;
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const images = await Promise.all(
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pairs.map((p) => loadImage('/data/photos/' + encodeURIComponent(p.photo)))
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);
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// 大圖先縮到長邊 1280px 再編譯：特徵品質足夠，
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// 且 .mind 檔與掃描端（尤其 iOS Safari）的 WebGL 記憶體用量大幅下降。
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// 曾發生 4 張 2244x4131 原圖直接編譯後，iPhone 掃任何照片都沒反應
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// （桌面 Chrome 正常，iOS WebGL 資源上限較低，辨識引擎無聲掛掉）
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const MAX_EDGE = 1280;
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const compileInputs = images.map((img) => {
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const scale = Math.min(1, MAX_EDGE / Math.max(img.naturalWidth, img.naturalHeight));
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if (scale === 1) return img;
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const c = document.createElement('canvas');
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c.width = Math.round(img.naturalWidth * scale);
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c.height = Math.round(img.naturalHeight * scale);
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c.getContext('2d').drawImage(img, 0, 0, c.width, c.height);
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return c;
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});
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status.textContent = '編譯特徵中（勿關閉頁面）…';
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const compiler = new window.MINDAR.IMAGE.Compiler();
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await compiler.compileImageTargets(compileInputs, (progress) => {
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bar.value = progress;
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status.textContent = '編譯特徵中 ' + progress.toFixed(0) + '%（勿關閉頁面）…';
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});
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const buffer = await compiler.exportData();
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status.textContent = '上傳特徵檔…';
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const mapping = {
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targets: pairs.map((p, i) => ({
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pairId: p.id,
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aspect: images[i].naturalHeight / images[i].naturalWidth,
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})),
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};
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const fd = new FormData();
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fd.append('mapping', JSON.stringify(mapping));
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fd.append('mind', new Blob([buffer]), 'targets.mind');
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const res = await fetch('/api/targets', { method: 'POST', body: fd });
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const json = await res.json();
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if (!res.ok) throw new Error(json.error || res.statusText);
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status.textContent = '編譯完成！';
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refresh();
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} catch (err) {
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status.textContent = '編譯失敗：' + err.message;
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} finally {
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btn.disabled = false;
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bar.hidden = true;
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}
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});
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refresh();
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</script>
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</body>
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</html>
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