Add native-frame jitter filtering of 1276 latest Ego training windows, dedup trends and synchronized MANO review

.gitattributes

@@ -100,3 +100,28 @@ training_gt_sample_jitter_20260924/videos/c55c052beef395cd0e37c010.mp4 filter=lf
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 training_gt_sample_jitter_20260924/videos/e18c815042c992c7ac3acddd.mp4 filter=lfs diff=lfs merge=lfs -text
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training_gt_ego_latest_20260924/GT_SCHEMA.md

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+| 数据集 | 原生 MANO GT | 相机/时间 | 完整性规则 |
+|---|---|---|---|
+| ARCTIC | 双手各 rot 3、pose 45 AA、shape 10、trans 3、fitting_err | 世界坐标＋ego 外参/K/畸变；ioi_offset 后帧号/30 | 原生两手分别检查；出画和遮挡不等于缺 GT |
+| H2O | 每手 valid＋trans 3＋全局/局部 AA 48＋beta 10 | cam_intrinsics、cam_pose；帧号/30 | 按 pose_train.txt 帧清单；保留每手有效 mask |
+| HOT3D | 每手 pose PCA15、betas10、wrist_xform(t3/q4) | VRS time-code ns＋相机模型/轨迹 | 项目 train；缺手记录不补零；最近标注匹配≤20ms |
+
+| 层 | GT / 数据结构 | 本轮产物 |
+|---|---|---|
+| 原始训练总体 | 保留三源原生 MANO、相机、图像、时间定义；不修改数值 | 完整训练录制索引；原始文件路径与范围 |
+| 完整性 | 每帧左右手有效 mask、RGB 存在性、时间线；至少一个连续完整目标手 | index/{dataset}_windows.jsonl；sequence NPZ 中 frame_ids/timestamps_s/mano_valid/rgb_present |
+| 随机抽样 | 上述原生 GT 引用与窗口范围；源内等概率无放回约5% | inclusion_probability、expansion_weight、seed、sampling_rank；8帧及RGB哈希 |
+| 时序过滤 | 全窗口原生 MANO 解码关节＋有效手 mask＋时间戳；GT 不变 | 本批逐源 P95；root/relative jerk、SO(3) pose 跳变；每窗口 metrics、flags、source SHA256 |
+| cosine去重 | 同一窗口GT引用，不以模型预测替换GT | 双prompt向量、101阈值统计、duplicate_of、各阈值保留清单 |
+| 训练平衡预览 | GT不变；按录制时长、源时长分配曝光权重 | 时长上限和数据源混合比例预览；不删除稀有动作 |
+
+本轮为全部 1276 个抽样窗口保存 native_gt.npz：native_pose、native_global_orient_aa_rad、native_translation_m、betas、local_pose_aa_rad、joints_native_m、valid、timestamps_s、frame_ids、matched_annotation_ns。原生 pose 在 HOT3D 为 PCA15，ARCTIC/H2O 为 AA45；local_pose 已按原生 MANO mean 展开。关节顺序遵循数据源解码器，不当作跨数据集统一训练关节顺序；使用 MANO 参数重建或按 source.json 转换。缺标手 mask=False 表示无监督，不能当作无手负例。RGB 使用原始来源引用，未重新打包全部 RGB。

training_gt_ego_latest_20260924/README.md

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+# 最新 Ego 三源过滤结果
+
+| 数据源 | 抽样窗口 | jitter 排除 | 最终保留 |
+|---|---:|---:|---:|
+| ARCTIC | 165 | 24 | 141 |
+| H2O | 55 | 7 | 48 |
+| HOT3D | 1056 | 107 | 949 |
+
+**1276 → jitter 通过 1138 → 去重后 1138**。范围：ARCTIC ego0、H2O cam4、HOT3D 头戴相机。保留相机累计时长 36.13 分钟。仍是最新约 5% 随机抽样，未应用到全量。
+
+- 本批 72618 个原始 GT 帧的时序结果已核验并复用，未用 embedding 的 8 帧代替。按各源 P95，腕 jerk、腕相对关节 jerk、局部姿态跳变任一超限排除。GT 未平滑或修改；HOT3D 指尖定义与官方解码器对齐。
+- 去重仍为同源、同目标手组合内，动作和背景 cosine 均 ≥0.98。移除其他源不会改变这三源的独立阈值和保留结果。已重新汇总 0.01 步长曲线、来源占比及时间分布。
+- [视频与过滤结果](index.html)：6 条本批原帧 RGB＋MANO 三维表面＋指标曲线视频，每源一条通过、一条排除，可每行同步播放。全部 1276 条筛选状态可查询；尚未渲染全部窗口的视频。
+- 只包含最新抽样批次。数值超限不等于 GT 错误，规则通过不等于人工批准；相机运动和真实快速动作也可能触发。
+- RGB 沿用原始来源引用；GT 参数和解码关节实际保存，未重新打包全部原视频。

training_gt_ego_latest_20260924/app.js

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+'use strict';const $=id=>document.getElementById(id),colors={ARCTIC:'#d5944a',H2O:'#55a389',HOT3D:'#ce737c'},num=x=>Math.round(x).toLocaleString(),pct=x=>(100*x).toFixed(1)+'%',hours=x=>(x/3600).toFixed(2),esc=x=>String(x).replace(/[&<>"']/g,c=>({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[c]));let curves,pop,stability,model,examples=[],pairIndex=0;
+function table(headers,rows){return '<table><tr>'+headers.map(x=>'<th>'+esc(x)+'</th>').join('')+'</tr>'+rows.map(r=>'<tr>'+r.map(x=>'<td>'+esc(x)+'</td>').join('')+'</tr>').join('')+'</table>'}
+function lineChart(series,minX){const W=620,H=230,L=42,R=15,T=15,B=30;const x=t=>L+(t-minX)/(1-minX)*(W-L-R),y=v=>H-B-v*(H-T-B);return `<svg viewBox="0 0 ${W} ${H}" role="img" aria-label="去重阈值与留存率">${[0,.25,.5,.75,1].map(v=>`<line x1="${L}" x2="${W-R}" y1="${y(v)}" y2="${y(v)}" stroke="#e5eaf0"/><text x="0" y="${y(v)+4}">${Math.round(v*100)}%</text>`).join('')}${[0,.25,.5,.75,1].map(f=>{let t=minX+f*(1-minX);return `<text x="${x(t)-13}" y="${H-7}">${t.toFixed(2)}</text>`}).join('')}${series.map(s=>`<polyline points="${s.values.filter(v=>v[0]>=minX).map(v=>`${x(v[0])},${y(v[1])}`).join(' ')}" fill="none" stroke="${s.color}" stroke-width="2.5" ${s.dash?'stroke-dasharray="5 4"':''}/>`).join('')}<line x1="${x(+$('threshold').value)}" x2="${x(+$('threshold').value)}" y1="${T}" y2="${H-B}" stroke="#75879a" stroke-dasharray="3 4"/></svg>`}
+function bars(hist,labels){const max=Math.max(...hist.counts,1),w=600,h=190,bw=(w-40)/hist.counts.length;return `<svg viewBox="0 0 ${w} ${h}" role="img" aria-label="时长分布">${hist.counts.map((v,i)=>{const ht=v/max*130;return `<rect x="${30+i*bw}" y="${155-ht}" width="${bw-7}" height="${ht}" fill="#6999c2" rx="2"/><text x="${30+i*bw}" y="${149-ht}" font-size="9">${num(v)}</text><text x="${30+i*bw}" y="175">${labels[i]}</text>`}).join('')}</svg>`}
+function render(){const tick=Math.round(+$('threshold').value*100),c=curves[tick],ds=$('dataset').value,d=ds==='all'?null:c.source.find(x=>x.dataset===ds);$('thresholdLabel').textContent=c.threshold.toFixed(2);const retained=d?d.retained:c.sample_retained,sampled=d?d.sampled:c.sample_input,projected=d?d.projected_windows:c.projected_full_retained_windows,seconds=d?d.projected_view_seconds:c.projected_full_view_seconds;
+$('kpis').innerHTML=[[`${num(retained)} / ${num(sampled)}`,'样本实测保留'],[pct(retained/sampled),'样本留存率'],[num(projected),'比例推算全量窗口'],[hours(seconds)+' h','比例推算相机累计时长']].map(([v,t])=>`<div class="kpi"><strong>${v}</strong><span>${t}</span></div>`).join('');
+const vals=curves.map(x=>[x.threshold,ds==='all'?x.sample_retention:x.source.find(d=>d.dataset===ds).retention_rate]);const series=[{values:vals,color:'#3177b5'}];if(ds==='all')series.push({values:curves.map(x=>[x.threshold,x.diversity_guard_sample_retained/x.sample_input]),color:'#97a9b9',dash:true});$('curve').innerHTML=lineChart(series,+$('zoom').value);
+$('composition').innerHTML='<div class="stack">'+c.source.map(x=>`<div style="width:${100*x.projected_duration_share}%;background:${colors[x.dataset]}" title="${x.dataset} ${pct(x.projected_duration_share)}"></div>`).join('')+'</div><div class="legend">'+c.source.map(x=>`<span><i class="dot" style="background:${colors[x.dataset]}"></i>${x.dataset} ${pct(x.projected_duration_share)}</span>`).join('')+'</div>';
+$('sourceTable').innerHTML=table(['来源','实测保留','推算窗口','推算时长(h)'],c.source.map(x=>[x.dataset,x.retained,num(x.projected_windows),hours(x.projected_view_seconds)]));$('windowHist').innerHTML=bars(c.window_duration_hist,['<.5s','.5–1','1–1.5','1.5–2','>2s']);$('recordingHist').innerHTML=bars(c.retained_source_recording_duration_hist,['<5s','5–10','10–30','30–60','1–2m','2–5m','5–10','10–20','20–60','>60m']);
+$('stability').innerHTML=table(['随机抽样比例','样本数','保留数','样本留存率','比例推算全量窗口'],stability.map(s=>{const r=s.curves[tick];return [pct(s.population_sampling_fraction),r.sampled,r.retained,pct(r.retention),num(r.projected_full_retained_windows)]}));renderTraining(c)}
+function renderTraining(c){const cap=+$('cap').value;let secs=cap?c.exposure_caps.find(x=>x.cap_recording_view_seconds===cap).by_dataset:Object.fromEntries(c.source.map(x=>[x.dataset,x.projected_view_seconds]));const mode=$('mix').value;const weights=c.source.map(x=>{let s=secs[x.dataset];return mode==='balanced'?(s>0?1:0):mode==='sqrt'?Math.sqrt(s):s}),total=weights.reduce((a,b)=>a+b,0);$('trainingPlan').innerHTML=table(['来源','加权等效时长(h)','建议采样占比'],c.source.map((x,i)=>[x.dataset,hours(secs[x.dataset]),pct(weights[i]/total)]));}
+let pairEpoch=0;function pausePair(){pairEpoch++;document.querySelectorAll('#pairGrid video').forEach(v=>v.pause())}
+function renderPair(){pausePair();if(!examples.length)return;const p=examples[pairIndex%examples.length];$('pairScore').textContent=`${pairIndex%examples.length+1}/${examples.length} · 动作 ${p.action_cos.toFixed(3)} · 背景 ${p.background_cos.toFixed(3)}`;$('pairGrid').innerHTML=p.videos.map(v=>`<div><p class="video-title">${esc(v.label)}</p><video muted playsinline preload="none" poster="${esc(v.poster)}" src="${esc(v.url)}"></video></div>`).join('')}
+async function playPair(){pausePair();const epoch=pairEpoch,vs=[...document.querySelectorAll('#pairGrid video')];if(vs.length!==2)return;await Promise.all(vs.map(v=>{v.load();return new Promise((res,rej)=>{v.addEventListener('loadeddata',res,{once:true});v.addEventListener('error',rej,{once:true})})}));if(epoch!==pairEpoch)return;vs.forEach(v=>v.currentTime=0);await Promise.all(vs.map(v=>v.play()));function tick(){if(epoch!==pairEpoch)return;if(vs.some(v=>v.ended)){pausePair();return}if(Math.abs(vs[0].currentTime-vs[1].currentTime)>.08)vs[1].currentTime=vs[0].currentTime;requestAnimationFrame(tick)}tick()}
+async function init(){[curves,pop,stability,model,examples]=await Promise.all(['curves.json','population.json','sampling_stability.json','model_capacity.json','examples.json'].map(p=>fetch(p).then(r=>{if(!r.ok)throw Error('无法加载 '+p);return r.json()})));$('scope').textContent=`已纳入训练视角索引 ${num(pop.parent_eligible_windows)} 个完整窗口 · 随机约 5%：${num(pop.sample_windows)} 个 · 时序通过 ${num(pop.jitter_passed)} 个 · 步长 0.01`;$('capacity').innerHTML=`<p>${esc(model.model)}：总参数 ${num(model.parameters)}；构建时可训练参数 ${num(model.requires_grad_at_model_construction)}。实际训练可进一步冻结模块。输入 T=${model.temporal_frames}。</p>`;$('population').innerHTML=table(['来源','录制数','训练视角','完整窗口','随机抽样'],Object.entries(pop.dataset_census).map(([ds,x])=>[ds,x.recordings,x.sequences,x.complete_windows,pop.sampling[ds].sampled_windows]))+`<p>完整窗口的相机累计时长 ${hours(pop.parent_eligible_view_seconds)} 小时；合并同录制多视角时间区间后 ${hours(pop.parent_unique_recording_seconds)} 小时。</p>`;for(const id of ['threshold','dataset','zoom','cap','mix'])$(id).addEventListener('input',render);$('examples').ontoggle=()=>{if($('examples').open&&!$('pairGrid').children.length)renderPair()};$('pairNext').onclick=()=>{pairIndex++;renderPair()};$('pairPrevious').onclick=()=>{pairIndex=Math.max(0,pairIndex-1);renderPair()};$('pairPlay').onclick=()=>playPair().catch(e=>$('error').textContent='播放失败：'+e);$('pairPause').onclick=pausePair;render();function openSyncComparison(){const target=document.getElementById('examples');target.open=true;requestAnimationFrame(()=>target.scrollIntoView({block:'start'}));}document.getElementById('openSync').addEventListener('click',openSyncComparison);window.addEventListener('hashchange',()=>{if(location.hash==='#examples')openSyncComparison()});if(location.hash==='#examples')openSyncComparison();window.trendApp={curves,pop,stability,examples,render};}
+init().catch(e=>$('error').textContent=e.message);

training_gt_ego_latest_20260924/embedding_config.json

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+{
+  "repo": "Qwen/Qwen3-VL-Embedding-2B",
+  "revision": "9f2f7e710d6d81056aa5c0a4f04764fec6bb7bda",
+  "prompts": {
+    "background": "Represent this video for visual background diversity. Focus on the environment, scene layout, camera viewpoint, surfaces and objects. Downweight the person, hand identity and exact finger articulation.",
+    "action": "Represent this video for hand action diversity. Focus on finger articulation, grasp type, contact with objects, left and right hand coordination, occlusion and the sequence of hand movements. Downweight background, lighting, clothing and person identity.",
+    "neutral": "Represent this video for visual similarity."
+  },
+  "frames": 8,
+  "max_pixels_per_frame": 65536,
+  "embedding_dim": 2048,
+  "normalization": "L2",
+  "git_commit": "393e2978d27852b0d0230d6994f37f9c15bed73c",
+  "model_file_sha256": {
+    "video_preprocessor_config.json": "59c5c9eb52182eb14c06ffb10ca9effd29adce5f238a95de23ca14a38dbd2cb1",
+    "tokenizer_config.json": "355f2b4e5bad7b01f11ef6cb68ebc176f61b95c3276092ea225b1bea0e01e95c",
+    "sentence_bert_config.json": "2c9dac0bf11e4282254502891eb84082debd7a68a775564c75303392f63787f8",
+    "vocab.json": "ca10d7e9fb3ed18575dd1e277a2579c16d108e32f27439684afa0e10b1440910",
+    "config.json": "9172f55b0b9cce70b7f67b10c58a408ccf3ec15c587e6efd4d5f41631237fded",
+    "special_tokens_map.json": "76862e765266b85aa9459767e33cbaf13970f327a0e88d1c65846c2ddd3a1ecd",
+    "README.md": "0c01437645b55e91c0145f7f3d9d414d0091cefe53c5f17938949f4c4baad0f2",
+    "modules.json": "fa7d796a215e1b2416773062891923b191fc5a4849bc44e322997433c90f459c",
+    "merges.txt": "8831e4f1a044471340f7c0a83d7bd71306a5b867e95fd870f74d0c5308a904d5",
+    "chat_template.jinja": "a47e6afb389f86f45be7810f17d2686fd42b2bec7ba6e6958abf85845af258c5",
+    "model.safetensors": "c73fa9caeddeb3ff831d46c085a7a5708343248ca777e90f2d486964464509c1",
+    "preprocessor_config.json": "d75c1f9f474add87cb0188d43c4fbf5c232d2af64f156fcefc5311089049100d",
+    "added_tokens.json": "c0284b582e14987fbd3d5a2cb2bd139084371ed9acbae488829a1c900833c680",
+    "config_sentence_transformers.json": "ab0d95430e4a88750bf613c7bea69cf878818a77c4047150599e1b586a7e8ab0",
+    "tokenizer.json": "def76fb086971c7867b829c23a26261e38d9d74e02139253b38aeb9df8b4b50a"
+  },
+  "cosine_normalization": "float32 L2 re-normalized before pairwise dot product",
+  "new_run_seed": 20260923
+}

training_gt_ego_latest_20260924/examples.json

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+[
+  {
+    "a": "8221bde3e68f9cf70e47d6d4",
+    "b": "4386f09f9f502c39e32a5689",
+    "dataset": "ARCTIC",
+    "action_cos": 0.9750134348869324,
+    "background_cos": 0.9568596482276917,
+    "min_cos": 0.9568596482276917,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "8221bde3e68f9cf70e47d6d4",
+        "url": "videos/8221bde3e68f9cf70e47d6d4.mp4",
+        "poster": "videos/8221bde3e68f9cf70e47d6d4.jpg",
+        "label": "ARCTIC · s08/scissors_use_04 · ego0 · 2.00–4.00s"
+      },
+      {
+        "id": "4386f09f9f502c39e32a5689",
+        "url": "videos/4386f09f9f502c39e32a5689.mp4",
+        "poster": "videos/4386f09f9f502c39e32a5689.jpg",
+        "label": "ARCTIC · s08/scissors_use_03 · ego0 · 10.00–12.00s"
+      }
+    ]
+  },
+  {
+    "a": "e18c815042c992c7ac3acddd",
+    "b": "4386f09f9f502c39e32a5689",
+    "dataset": "ARCTIC",
+    "action_cos": 0.9687378406524658,
+    "background_cos": 0.9551995396614075,
+    "min_cos": 0.9551995396614075,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "e18c815042c992c7ac3acddd",
+        "url": "videos/e18c815042c992c7ac3acddd.mp4",
+        "poster": "videos/e18c815042c992c7ac3acddd.jpg",
+        "label": "ARCTIC · s09/scissors_use_02 · ego0 · 4.00–6.00s"
+      },
+      {
+        "id": "4386f09f9f502c39e32a5689",
+        "url": "videos/4386f09f9f502c39e32a5689.mp4",
+        "poster": "videos/4386f09f9f502c39e32a5689.jpg",
+        "label": "ARCTIC · s08/scissors_use_03 · ego0 · 10.00–12.00s"
+      }
+    ]
+  },
+  {
+    "a": "05efde300fe761ba4e4e40b1",
+    "b": "8b64b722803712cbb964c55e",
+    "dataset": "ARCTIC",
+    "action_cos": 0.9495400190353394,
+    "background_cos": 0.8993937373161316,
+    "min_cos": 0.8993937373161316,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "05efde300fe761ba4e4e40b1",
+        "url": "videos/05efde300fe761ba4e4e40b1.mp4",
+        "poster": "videos/05efde300fe761ba4e4e40b1.jpg",
+        "label": "ARCTIC · s09/microwave_use_01 · ego0 · 22.00–24.00s"
+      },
+      {
+        "id": "8b64b722803712cbb964c55e",
+        "url": "videos/8b64b722803712cbb964c55e.mp4",
+        "poster": "videos/8b64b722803712cbb964c55e.jpg",
+        "label": "ARCTIC · s09/microwave_use_01 · ego0 · 20.00–22.00s"
+      }
+    ]
+  },
+  {
+    "a": "50a6134c8414b1f561cfbdc7",
+    "b": "c55c052beef395cd0e37c010",
+    "dataset": "H2O",
+    "action_cos": 0.95600426197052,
+    "background_cos": 0.9221845865249634,
+    "min_cos": 0.9221845865249634,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "50a6134c8414b1f561cfbdc7",
+        "url": "videos/50a6134c8414b1f561cfbdc7.mp4",
+        "poster": "videos/50a6134c8414b1f561cfbdc7.jpg",
+        "label": "H2O · subject3/h2/1/cam4 · cam4 · 18.43–20.43s"
+      },
+      {
+        "id": "c55c052beef395cd0e37c010",
+        "url": "videos/c55c052beef395cd0e37c010.mp4",
+        "poster": "videos/c55c052beef395cd0e37c010.jpg",
+        "label": "H2O · subject2/k2/1/cam4 · cam4 · 21.73–23.73s"
+      }
+    ]
+  },
+  {
+    "a": "cd4b8ad3e7d35c97cde8e59e",
+    "b": "346a0a1f7fc1a94e7a9270d6",
+    "dataset": "H2O",
+    "action_cos": 0.9529509544372559,
+    "background_cos": 0.9176154732704163,
+    "min_cos": 0.9176154732704163,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "cd4b8ad3e7d35c97cde8e59e",
+        "url": "videos/cd4b8ad3e7d35c97cde8e59e.mp4",
+        "poster": "videos/cd4b8ad3e7d35c97cde8e59e.jpg",
+        "label": "H2O · subject2/h2/6/cam4 · cam4 · 8.33–10.33s"
+      },
+      {
+        "id": "346a0a1f7fc1a94e7a9270d6",
+        "url": "videos/346a0a1f7fc1a94e7a9270d6.mp4",
+        "poster": "videos/346a0a1f7fc1a94e7a9270d6.jpg",
+        "label": "H2O · subject2/o2/6/cam4 · cam4 · 10.97–12.13s"
+      }
+    ]
+  },
+  {
+    "a": "7a497aab3749a0724827d27e",
+    "b": "e873ccb12bfb9642b3886839",
+    "dataset": "H2O",
+    "action_cos": 0.9177189469337463,
+    "background_cos": 0.9002105593681335,
+    "min_cos": 0.9002105593681335,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "7a497aab3749a0724827d27e",
+        "url": "videos/7a497aab3749a0724827d27e.mp4",
+        "poster": "videos/7a497aab3749a0724827d27e.jpg",
+        "label": "H2O · subject2/o2/1/cam4 · cam4 · 17.83–19.83s"
+      },
+      {
+        "id": "e873ccb12bfb9642b3886839",
+        "url": "videos/e873ccb12bfb9642b3886839.mp4",
+        "poster": "videos/e873ccb12bfb9642b3886839.jpg",
+        "label": "H2O · subject2/o1/1/cam4 · cam4 · 28.30–30.30s"
+      }
+    ]
+  },
+  {
+    "a": "c240bc4112894ef2f6206149",
+    "b": "ad5192923d4332dc487055a8",
+    "dataset": "HOT3D",
+    "action_cos": 0.9811529517173767,
+    "background_cos": 0.9773339033126831,
+    "min_cos": 0.9773339033126831,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "c240bc4112894ef2f6206149",
+        "url": "videos/c240bc4112894ef2f6206149.mp4",
+        "poster": "videos/c240bc4112894ef2f6206149.jpg",
+        "label": "HOT3D · P0015_e3f96b3f · 214-1 · 8.50–10.50s"
+      },
+      {
+        "id": "ad5192923d4332dc487055a8",
+        "url": "videos/ad5192923d4332dc487055a8.mp4",
+        "poster": "videos/ad5192923d4332dc487055a8.jpg",
+        "label": "HOT3D · P0015_e3f96b3f · 214-1 · 18.57–20.57s"
+      }
+    ]
+  },
+  {
+    "a": "fcc565fecb3e31b7caedaf38",
+    "b": "ad5192923d4332dc487055a8",
+    "dataset": "HOT3D",
+    "action_cos": 0.9799203276634216,
+    "background_cos": 0.9754797220230103,
+    "min_cos": 0.9754797220230103,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "fcc565fecb3e31b7caedaf38",
+        "url": "videos/fcc565fecb3e31b7caedaf38.mp4",
+        "poster": "videos/fcc565fecb3e31b7caedaf38.jpg",
+        "label": "HOT3D · P0015_e3f96b3f · 214-1 · 16.57–18.57s"
+      },
+      {
+        "id": "ad5192923d4332dc487055a8",
+        "url": "videos/ad5192923d4332dc487055a8.mp4",
+        "poster": "videos/ad5192923d4332dc487055a8.jpg",
+        "label": "HOT3D · P0015_e3f96b3f · 214-1 · 18.57–20.57s"
+      }
+    ]
+  },
+  {
+    "a": "393425f8686a8aa43d42d801",
+    "b": "3f7007a7be80a8cf69500e8d",
+    "dataset": "HOT3D",
+    "action_cos": 0.9149625897407532,
+    "background_cos": 0.9001400470733643,
+    "min_cos": 0.9001400470733643,
+    "kind": "nearest",
+    "videos": [
+      {
+        "id": "393425f8686a8aa43d42d801",
+        "url": "videos/393425f8686a8aa43d42d801.mp4",
+        "poster": "videos/393425f8686a8aa43d42d801.jpg",
+        "label": "HOT3D · P0003_613ab44f · 1201-1 · 70.10–72.10s"
+      },
+      {
+        "id": "3f7007a7be80a8cf69500e8d",
+        "url": "videos/3f7007a7be80a8cf69500e8d.mp4",
+        "poster": "videos/3f7007a7be80a8cf69500e8d.jpg",
+        "label": "HOT3D · P0003_613ab44f · 1201-2 · 118.10–120.10s"
+      }
+    ]
+  },
+  {
+    "a": "dc7b43771b32cbdf9eb5d523",
+    "b": "e40c9b2e5117252517e656be",
+    "dataset": "HOT3D",
+    "action_cos": 0.6449992656707764,
+    "background_cos": 0.44758307933807373,
+    "min_cos": 0.44758307933807373,
+    "kind": "prompt_disagreement",
+    "videos": [
+      {
+        "id": "dc7b43771b32cbdf9eb5d523",
+        "url": "videos/dc7b43771b32cbdf9eb5d523.mp4",
+        "poster": "videos/dc7b43771b32cbdf9eb5d523.jpg",
+        "label": "HOT3D · P0021_868706c6 · 1201-1 · 58.00–60.00s"
+      },
+      {
+        "id": "e40c9b2e5117252517e656be",
+        "url": "videos/e40c9b2e5117252517e656be.mp4",
+        "poster": "videos/e40c9b2e5117252517e656be.jpg",
+        "label": "HOT3D · P0012_130a66e1 · 214-1 · 44.10–46.13s"
+      }
+    ]
+  },
+  {
+    "a": "7d95ebd674607abbec5488de",
+    "b": "64707a5df944734b061c116e",
+    "dataset": "HOT3D",
+    "action_cos": 0.6968260407447815,
+    "background_cos": 0.5101052522659302,
+    "min_cos": 0.5101052522659302,
+    "kind": "prompt_disagreement",
+    "videos": [
+      {
+        "id": "7d95ebd674607abbec5488de",
+        "url": "videos/7d95ebd674607abbec5488de.mp4",
+        "poster": "videos/7d95ebd674607abbec5488de.jpg",
+        "label": "HOT3D · P0002_2ea9af5b · 214-1 · 36.33–38.33s"
+      },
+      {
+        "id": "64707a5df944734b061c116e",
+        "url": "videos/64707a5df944734b061c116e.mp4",
+        "poster": "videos/64707a5df944734b061c116e.jpg",
+        "label": "HOT3D · P0003_c5515328 · 1201-2 · 24.00–26.00s"
+      }
+    ]
+  },
+  {
+    "a": "aaa7470d948e83dc8f09173e",
+    "b": "dc7b43771b32cbdf9eb5d523",
+    "dataset": "HOT3D",
+    "action_cos": 0.676275908946991,
+    "background_cos": 0.494977742433548,
+    "min_cos": 0.494977742433548,
+    "kind": "prompt_disagreement",
+    "videos": [
+      {
+        "id": "aaa7470d948e83dc8f09173e",
+        "url": "videos/aaa7470d948e83dc8f09173e.mp4",
+        "poster": "videos/aaa7470d948e83dc8f09173e.jpg",
+        "label": "HOT3D · P0014_8254f925 · 214-1 · 20.10–22.13s"
+      },
+      {
+        "id": "dc7b43771b32cbdf9eb5d523",
+        "url": "videos/dc7b43771b32cbdf9eb5d523.mp4",
+        "poster": "videos/dc7b43771b32cbdf9eb5d523.jpg",
+        "label": "HOT3D · P0021_868706c6 · 1201-1 · 58.00–60.00s"
+      }
+    ]
+  }
+]

training_gt_ego_latest_20260924/gallery.js

@@ -0,0 +1,7 @@
+(async()=>{
+const entries=await fetch('jitter_examples.json').then(r=>r.json());let stopAll=()=>{};
+function render(){stopAll();const ds=$('videoDataset').value,state=$('videoStatus').value,items=entries.filter(e=>(ds==='all'||e.dataset===ds)&&(state==='all'||e.jitter_pass===(state==='pass')));const root=$('latestVideoGrid');root.replaceChildren();const stops=[];
+for(let i=0;i<items.length;i+=2){const pair=items.slice(i,i+2),row=document.createElement('div');row.className='latest-row';row.innerHTML='<div class="row-buttons"><button class="row-play">同步播放</button><button class="row-pause">暂停</button></div>'+pair.map(e=>`<div><p>${esc(e.label)}</p><video controls muted playsinline preload="none" poster="${esc(e.poster)}" src="${esc(e.url)}"></video></div>`).join('');root.append(row);let vs=[...row.querySelectorAll('video')],epoch=0,active=false;const stop=()=>{epoch++;active=false;vs.forEach(v=>v.pause())};stops.push(stop);row.querySelector('.row-pause').onclick=stop;row.querySelector('.row-play').disabled=vs.length<2;row.querySelector('.row-play').onclick=async()=>{stop();const token=epoch;try{await Promise.all(vs.map(v=>{if(v.readyState>=2)return Promise.resolve();v.load();return new Promise((res,rej)=>{v.addEventListener('loadeddata',res,{once:true});v.addEventListener('error',rej,{once:true})})}));if(token!==epoch)return;vs.forEach(v=>v.currentTime=0);await Promise.all(vs.map(v=>v.play()));if(token!==epoch)return;active=true;const tick=()=>{if(!active||token!==epoch)return;if(vs.some(v=>v.ended)){stop();return}if(Math.abs(vs[0].currentTime-vs[1].currentTime)>.04&&!vs[1].seeking)vs[1].currentTime=vs[0].currentTime;requestAnimationFrame(tick)};tick()}catch(e){$('error').textContent='视频加载失败：'+e}};vs.forEach(v=>v.addEventListener('ended',stop));row.stopPlayback=stop;
+}stopAll=()=>stops.forEach(f=>f());}
+$('videoDataset').onchange=render;$('videoStatus').onchange=render;render();window.latestGallery={entries,render,stop:()=>stopAll()};
+})().catch(e=>document.getElementById('error').textContent=e.message);

training_gt_ego_latest_20260924/index.html

@@ -0,0 +1,14 @@
+<!doctype html><html lang="zh-CN"><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>三源数据 · 最新 Ego 数据 · 视频与过滤</title><link rel="stylesheet" href="style.css?v=20260923"><link rel="stylesheet" href="row_sync.css?v=jitter-20260924"></head><body><main>
+<header><div><h1>最新 Ego 数据 · 视频与过滤</h1><p id="scope"></p></div><div><a id="openSync" href="#examples"><strong>去重片段对比</strong></a> · <a href="#videoGallery">最新 GT 视频</a></div></header><section id="videoGallery"><h2>最新批次 · 视频复核</h2><p class="muted">6 条已渲染示例，每源一条通过、一条排除；全部 1276 条筛选状态可在下方查询。</p><div class="controls"><label>视频来源<select id="videoDataset"><option value="all">三源</option><option>ARCTIC</option><option>H2O</option><option>HOT3D</option></select></label><label>结果<select id="videoStatus"><option value="all">通过与排除</option><option value="pass">时序通过</option><option value="exclude">时序排除</option></select></label></div><div id="latestVideoGrid"></div></section>
+<section><h2>本批过滤结果</h2><div id="stageTable"></div><p class="muted">最新随机约 5% 样本 · 默认去重 0.98 · 全量尚未应用</p></section>
+<section class="controls"><label>动作、背景相似度均 ≥ <strong id="thresholdLabel">0.98</strong><input id="threshold" type="range" min="0" max="1" step="0.01" value="0.98"></label><label>查看数据<select id="dataset"><option value="all">三源合计</option><option>ARCTIC</option><option>H2O</option><option>HOT3D</option></select></label></section>
+<div id="kpis" class="kpis"></div><p class="muted">实测来自随机 5% 子集；全量数为比例推算，尚未完成全量去重。</p>
+<div class="grid"><section><div class="row"><h2>阈值 → 留存率</h2><label>横轴<select id="zoom"><option value="0">0.00–1.00</option><option value="0.8" selected>0.80–1.00</option></select></label></div><div id="curve"></div><p class="muted">实线：样本实测；虚线：额外保护不同录制和相机的代表。</p></section><section><h2>三源保留数据的来源占比</h2><div id="composition"></div><div id="sourceTable"></div><p class="muted">占比按各源抽样概率还原后的相机时长计算，多视角时长另行统计。</p></section></div>
+<div class="grid"><section><h2>三源保留窗口的时长分布</h2><div id="windowHist"></div><p class="muted">采用不重叠、最长约 2 秒的窗口；不足 8 帧单独记录，不补齐时长。</p></section><section><h2>保留窗口所属训练录制的时长</h2><div id="recordingHist"></div><p class="muted">柱高为推算保留时长（秒）；录制时长按该视角的训练帧统计，不是完整原片长度。</p></section></div>
+<section><h2>抽样规模检查</h2><div id="stability"></div><p class="muted">同一阈值下，比较嵌套 1%–5% 随机样本（固定本批 jitter 阈值）。抽样率改变会改变发现重复的机会，不能直接保证 5% 留存率等于全量留存率。</p></section>
+<details><summary>训练时长与数据平衡</summary><div id="capacity"></div><div class="controls"><label>每个录制视角的时长权重上限<select id="cap"><option value="0">不限制</option><option value="10">10 秒</option><option value="30">30 秒</option><option value="60" selected>60 秒</option><option value="120">120 秒</option></select></label><label>数据集采样分配<select id="mix"><option value="duration">按保留时长</option><option value="sqrt" selected>按时长平方根</option><option value="balanced">三源均衡</option></select></label></div><div id="trainingPlan"></div><p class="muted">这里只预览训练采样权重：限制长录制主导训练，不删除稀有动作。参数量没有经验证的固定数据配额。</p></details>
+<details><summary>抽样与 GT 结构说明</summary><div id="population"></div><p>完整性过滤后随机抽取各源约 5%，随机种子 20260923。已对本批全部原始 GT 帧计算时序指标，按本批逐源 P95 过滤，再去重。主曲线在同数据集、同完整目标手组合内按直接相似关系去重；不同来源不互相删除。</p><p>阶段结构：原生 MANO / 相机 / 时间 / RGB → 完整性与窗口索引 → 全帧时序过滤 → 两套向量 → cosine、代表窗口、留存标记。GT 原值未修改。</p><a href="GT_SCHEMA.md">GT 结构表</a> · <a href="README.md">中文报告</a> · <a href="threshold_by_dataset.csv" download>逐阈值 CSV</a> · <a href="sampling_stability.json" download>采样规模对照</a></details>
+<details id="jitterReview" hidden><summary>时序视频复核（原帧 RGB ＋ MANO 三维表面）</summary><p class="muted">每源各一条通过、一条排除示例；三维窗口采用固定原生坐标视角。曲线是逐帧值；判定使用窗口 P95／最大跳变，单帧过线不一定排除。</p><select id="jitterExample"></select><p id="jitterReason"></p><video id="jitterVideo" controls muted playsinline preload="none"></video></details>
+<details id="sampleDetails"><summary>查样本为什么被排除</summary><div class="controls"><label>筛选<select id="statusFilter"><option value="all">全部 1276 条</option><option value="retained">最终保留</option><option value="jitter_excluded">时序排除</option><option value="duplicate">重复排除</option></select></label><label>来源<select id="statusDataset"><option value="all">三源</option><option>ARCTIC</option><option>H2O</option><option>HOT3D</option></select></label><input id="sampleSearch" placeholder="样本 ID / 录制名称"></div><p id="statusCount"></p><div id="statusTable"></div><button id="statusPrevious">上一页</button> <button id="statusNext">下一页</button><p><a href="jitter_per_window.csv">下载逐窗口指标</a></p></details>
+<details id="examples"><summary>新抽样片段 · 同步对比</summary><p class="muted">这里回放实际用于 embedding 的 8 帧采样图，带来源标记；不是完整帧率的 GT 质量检查视频。</p><div class="row"><button id="pairPrevious">上一对</button><button id="pairNext">下一对</button><span id="pairScore"></span></div><div class="sync-video-row sync-pair-row"><div class="sync-row-controls"><button id="pairPlay">同步播放</button><button id="pairPause">暂停</button></div><div id="pairGrid" class="grid"></div></div></details>
+<p id="error" role="status"></p></main><script src="app.js?v=jitter-20260924"></script><script src="jitter.js?v=20260924"></script><script src="gallery.js?v=20260924"></script></body></html>

training_gt_ego_latest_20260924/jitter.js

@@ -0,0 +1,11 @@
+(async()=>{
+ const [summary,status,examples]=await Promise.all(['jitter_summary.json','sample_status.json','jitter_examples.json'].map(x=>fetch(x).then(r=>{if(!r.ok)throw Error(x);return r.json()})));
+ const names={root3_p95:'腕位置 jerk 超限',relative3_p95:'腕相对关节 jerk 超限',pose_step_deg_max:'手指姿态跳变超限',insufficient_temporal_support:'有效时序不足'},states={retained:'保留',jitter_excluded:'时序排除',duplicate:'重复排除'};
+ function stages(){let tick=Math.round(+$('threshold').value*100);let c=window.trendApp?.curves[tick];$('stageTable').innerHTML=table(['来源','抽样','时序排除','时序通过','去重排除','最终保留'],summary.datasets.map(d=>{let n=c?c.source.find(x=>x.dataset===d.dataset).retained:d.retained;return [d.dataset,d.input,d.jitter_excluded,d.jitter_passed,d.jitter_passed-n,n]}))}
+ $('threshold').addEventListener('input',stages);stages();
+ $('jitterExample').innerHTML=examples.map((e,i)=>`<option value="${i}">${esc(e.label)}</option>`).join('');
+ function choose(){let e=examples[+$('jitterExample').value];let v=$('jitterVideo');v.pause();v.src=e.url;v.poster=e.poster;$('jitterReason').textContent=e.jitter_pass?'三项指标均未超过本源 P95':e.flags.map(x=>names[x]||x).join('；')}
+ $('jitterExample').onchange=choose;$('jitterReview').ontoggle=()=>{if($('jitterReview').open&&!$('jitterVideo').getAttribute('src'))choose();else if(!$('jitterReview').open)$('jitterVideo').pause()};
+ let page=0;function renderStatus(){let state=$('statusFilter').value,ds=$('statusDataset').value,query=$('sampleSearch').value.toLowerCase();let rows=status.filter(w=>(state==='all'||w.filter_reason===state)&&(ds==='all'||w.dataset===ds)&&(!query||(w.id+' '+w.recording_id).toLowerCase().includes(query)));page=Math.min(page,Math.max(0,Math.ceil(rows.length/20)-1));$('statusCount').textContent=`${rows.length} 条 · 第 ${page+1}/${Math.max(1,Math.ceil(rows.length/20))} 页 · 状态按默认去重 0.98`;$('statusTable').innerHTML=table(['来源 / ID','录制 / 时间(s)','结果','原因'],rows.slice(page*20,(page+1)*20).map(w=>[w.dataset+' / '+w.id,w.recording_id+' / '+w.start_s.toFixed(2)+'–'+w.end_s.toFixed(2),states[w.filter_reason],w.filter_reason==='duplicate'?'代表 '+w.duplicate_of:w.jitter_flags.map(x=>names[x]||x).join('；')||'通过']));$('statusPrevious').disabled=page===0;$('statusNext').disabled=(page+1)*20>=rows.length}
+ for(let id of ['statusFilter','statusDataset','sampleSearch'])$(id).addEventListener('input',()=>{page=0;renderStatus()});$('statusPrevious').onclick=()=>{page--;renderStatus()};$('statusNext').onclick=()=>{page++;renderStatus()};renderStatus();window.jitterApp={summary,status,examples};
+})().catch(e=>document.getElementById('error').textContent=e.message);

training_gt_ego_latest_20260924/jitter_examples.json

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+[
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+    "dataset": "ARCTIC",
+    "label": "ARCTIC · 时序通过 · s07/laptop_use_02 · 14.00–16.00s",
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+    "poster": "jitter_videos/7064e0d94d55a9b24dc60905.jpg",
+    "coordinate": "world"
+  },
+  {
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+    "dataset": "ARCTIC",
+    "label": "ARCTIC · 时序排除 · s01/laptop_use_04 · 2.00–4.00s",
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+    "poster": "jitter_videos/719d116d6fc8e63ed15749e4.jpg",
+    "coordinate": "world"
+  },
+  {
+    "id": "167355c53ba7dd0fc8c0555e",
+    "dataset": "H2O",
+    "label": "H2O · 时序通过 · subject3/h1/3/cam4 · 6.53–8.53s",
+    "jitter_pass": true,
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+    "poster": "jitter_videos/167355c53ba7dd0fc8c0555e.jpg",
+    "coordinate": "camera"
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+  {
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+    "dataset": "HOT3D",
+    "label": "HOT3D · 时序排除 · P0002_50a6227b · 47.53–48.20s",
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+    "coordinate": "world"
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training_gt_ego_latest_20260924/jitter_summary.json

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training_gt_ego_latest_20260924/model_capacity.json

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+{
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+}

training_gt_ego_latest_20260924/population.json

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training_gt_ego_latest_20260924/row_sync.css

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+.sync-row-controls{display:flex;flex-direction:column;gap:6px;padding-top:8px;min-width:0}
+.sync-row-controls button{margin:0;width:100%;padding:9px 4px;white-space:nowrap}
+.sync-row-controls button:first-child{background:#e8f1fa;border-color:#91b5d6;color:#205b91}
+.sync-row-controls span{font-size:11px;color:#617184;overflow-wrap:anywhere}
+.sync-pair-row>#pairGrid{grid-column:2 / span 2;grid-template-columns:repeat(2,minmax(0,1fr))}
+@media(max-width:700px){.sync-video-row{grid-template-columns:70px minmax(0,1fr) minmax(0,1fr);gap:7px}.sync-video-row article{padding:8px}.sync-video-row article h3{font-size:12px}.sync-row-controls button{font-size:12px}.sync-pair-row>#pairGrid{gap:7px}}

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