#!/usr/bin/env python3 # 4-engine blind page builder v2 (gpunoise 重跑 + fasth3-V2 补测并入). # v1 (build_blind_page_gpunoise.py) 的 a/b/c 槽位映射原样保留 (blind_map.json 断言相等), # fasth3-V2 追加为每 case 下一空槽 (xjh 组=丁, val 组=丙) — Kai 已投票不受影响。 # kais-html §0: blind slots + loudness norm (same gain/case, recompute over ALL arms) # + CAL pair + reveal (0914 dual hard standard) + export + self-checks. import base64, hashlib, json, os, random, re, subprocess, sys BASE2 = "/home/kai/shared/2026-09-15/gpunoise_rerun3" # v1 三臂台账 FH = "/home/kai/shared/2026-09-16/fasth3v2_probe" # fasth3-V2 补测台账 BASE = "/home/kai/shared/2026-09-14/ab4eng_6case" # cases.json 复用 OUT = "/home/kai/shared/2026-09-15/page" os.makedirs(OUT, exist_ok=True) ARMS = ["rh", "vdn", "lxv", "fasth3"] ZH = {"a": "甲", "b": "乙", "c": "丙", "d": "丁"} ENGINES = { "rh": "rh-v4 · 蒸馏4步快档", "vdn": "vdn-8 · VDN 8步", "lxv": "lightx2v-8-768p · LXV 8步", "fasth3": "fasth3-V2 · 8步蒸馏int8剪枝", } ARMKEY = {"rh": "rh_v4", "vdn": "vdn_8", "lxv": "lightx2v_8_768p", "fasth3": "fasth3"} CASES = { "xjh_S2_2": {"t": "S22 小江湖·深夜藏子", "sub": "快推 MS · 4.0s · 1344×768 · seed=2026091406", "g": "看：推镜速度感、把阿毛塞进树洞的手部遮挡逻辑、长袍旋摆、阿毛眼神消失进阴影的瞬间。"}, "xjh_S2_3": {"t": "S23 小江湖·撞角碎腿", "sub": "手持 FS 高动 · 6.0s · 1344×768 · seed=2026091404", "g": "看：铁角撞腿的接触物理、碎腿飞散方向、墨绿毒液飞溅冒烟、后飞惯性。"}, "xjh_S3_2": {"t": "S32 小江湖·手插泥土", "sub": "静帧 INSERT 特写 · 4.5s · 1344×768 · seed=2026091402", "g": "看：指缝簌簌落土的颗粒感、龟裂分形与黑脉纹路的呼应、静帧里的微动（呼吸感）。"}, "xjh_S4_2": {"t": "S42 小江湖·指尖黑化", "sub": "静帧 CU · 4.5s · 1344×768 · seed=2026091401", "g": "看：指尖色变渐变（墨绿→灰黑）、黑脉爬到指尖的过程、掌中甲壳虹彩、上缘面部神色。"}, "xjh_S5_3": {"t": "S53 小江湖·对视数数", "sub": "MCU 微表情 · 6.5s · 1344×768 · seed=2026091403", "g": "看：张嘴数数的口型节奏、阿毛兴奋闭眼微表情、莓汁嘴边、花青金色瞳孔的反光、同高对视构图。"}, "xjh_S6_2": {"t": "S62 小江湖·升镜穿林", "sub": "Crane-up EWS 大场景 · 9.0s · 1344×768 · seed=2026091405", "g": "看：升镜连续性、穿树冠的遮挡过渡、森林逐层展开的景深、阿毛缩成小点的大小对比。"}, "val_c05": {"t": "C05 标准集·卡通跑车赛道", "sub": "中动 · 10.1s · 1280×704 · seed=2026091405", "g": "看：车身高光流动、轮胎旋转与地面接触、起步加速惯性、山丘绿植视差。"}, "val_c07": {"t": "C07 标准集·村街对白", "sub": "低动对白 · 14.9s档 · 1280×704 · seed=2026091407", "g": "看：口型与台词贴合、微表情、服饰纹样一致性、街景参照物是否稳定不漂。"}, "val_c08": {"t": "C08 标准集·全速追逐", "sub": "高动 · 14.9s档 · 1280×704 · seed=2026091408", "g": "看：全速奔跑四肢一致性、裙摆/水花物理、人物交错瞬间、急停惯性。"}, } SHORT = {"xjh_S2_2": "S22", "xjh_S2_3": "S23", "xjh_S3_2": "S32", "xjh_S4_2": "S42", "xjh_S5_3": "S53", "xjh_S6_2": "S62", "val_c05": "C05", "val_c07": "C07", "val_c08": "C08"} KEY = "gpnoise_v1" # 保持 v1 localStorage key — 老 a/b/c 投票延续有效 # 0) 台账合并: v1 三臂 + fasth3-V2 补测 recs = {} for line in open(f"{BASE2}/arms.jsonl"): r = json.loads(line) recs[(r["case"], r["arm"])] = r for line in open(f"{FH}/arms.jsonl"): r = json.loads(line) assert r["arm"] == "fasth3" assert r.get("ok"), f"fasth3 {r['case']} not ok" recs[(r["case"], "fasth3")] = r for line in open("/home/kai/shared/2026-09-16/vdn_val_probe/arms.jsonl"): r = json.loads(line) assert r["arm"] == "vdn_8" and r.get("ok") recs[(r["case"], "vdn_8")] = r # 覆盖 v1 缺失项 (v1 map 无此键, 此处为 val 补测真值) # 1) 槽位: v1 blind_map 原样保留 + fasth3 追加下一空槽 v1map = json.load(open(f"{BASE2}/blind_map.json"))["mapping"] ALLSLOTS = ["a", "b", "c", "d"] mapping = {} problems = [] for case in CASES: m1 = v1map.get(case) if not m1: problems.append(f"{case}: v1 blind_map 缺失") continue # 断言 v1 槽位映射与台账一致 (投票连续性保证) for s, d in m1.items(): r = recs.get((case, ARMKEY[d["eng"]])) assert r and r.get("ok"), f"{case}{s}: v1 arm {d['eng']} 台账不符" m = {s: dict(d) for s, d in m1.items()} # v2 起 blind_map 已含 fasth3 槽; v3 基底直接沿用, 已在场则跳过 if "fasth3" not in [d["eng"] for d in m.values()]: nxt = next(s for s in ALLSLOTS if s not in m) r = recs[(case, "fasth3")] m[nxt] = {"eng": "fasth3", "wall": round(r["wall_s"]), "qw": r.get("queue_wait_s"), "rs": r.get("render_s"), "src": r["videoUrl"]} # vdn val 补测 (0916 226f) 并入: v1 该臂缺席, fasth3 之后的下一空槽 if (case, "vdn_8") in recs and "vdn" not in [d["eng"] for d in m.values()]: nxt2 = next(s for s in ALLSLOTS if s not in m) rv = recs[(case, "vdn_8")] m[nxt2] = {"eng": "vdn", "wall": round(rv["wall_s"]), "qw": rv.get("queue_wait_s"), "rs": rv.get("render_s"), "src": rv["videoUrl"], "clamp": "226f(241f边界钳制)"} mapping[case] = m if problems: print("PROBLEMS:", problems) sys.exit(3) # 2) 响度归一: 增益按全臂 max 重算 (同 case 同增益); 与 v1 增益一致则老文件复用 def max_vol(f): r = subprocess.run(["ffmpeg", "-i", f, "-af", "volumedetect", "-f", "null", "-"], capture_output=True, text=True) m = re.search(r"max_volume: ([-\d.]+) dB", r.stderr) return float(m.group(1)) if m else 0.0 for case in CASES: mvs = {s: max_vol(d["src"]) for s, d in mapping[case].items()} if max(mvs.values()) < -55: gain = 0.0 else: gain = round(-3.0 - max(mvs.values()), 2) old_gain = next(iter(v1map[case].values())).get("gain") for s, d in mapping[case].items(): out = f"{OUT}/bt_{case}_{s}.mp4" need = not (os.path.exists(out) and os.path.getsize(out) > 100000 and old_gain is not None and abs(gain - old_gain) < 0.05) if need: r = subprocess.run(["ffmpeg", "-y", "-i", d["src"], "-af", f"volume={gain}dB", "-c:v", "copy", "-c:a", "aac", "-b:a", "192k", "-movflags", "+faststart", out], capture_output=True, text=True) assert r.returncode == 0, f"ffmpeg fail {case}{s}: {r.stderr[-300:]}" d["gain"] = gain json.dump({"mapping": mapping, "key": KEY, "v": 2}, open(f"{BASE2}/blind_map.json", "w"), ensure_ascii=False, indent=1) # 3) reference thumbs (已有则跳过) from PIL import Image for case, cd in CASES.items(): refs = json.load(open(f"{BASE}/cases.json"))[case]["refs"][:3] for i, rp in enumerate(refs): out = f"{OUT}/ref_{case}_{i}.jpg" if not os.path.exists(out): im = Image.open(rp).convert("RGB") im.thumbnail((320, 320), Image.LANCZOS) im.save(out, quality=82) # 4) probe + panels def probe(p): r = subprocess.run(["ffprobe", "-v", "error", "-select_streams", "v:0", "-count_packets", "-show_entries", "stream=width,height,nb_read_packets", "-of", "csv=p=0", p], capture_output=True, text=True).stdout.strip() a = subprocess.run(["ffprobe", "-v", "error", "-select_streams", "a", "-show_entries", "stream=codec_name", "-of", "csv=p=0", p], capture_output=True, text=True).stdout.strip() return r, a frame_notes = [] panels_html = {} for case in CASES: parts = [] fmax = 0 probes = {} for s in mapping[case]: f = f"bt_{case}_{s}.mp4" (r, a) = probe(f"{OUT}/{f}") assert r and a == "aac", f"{f} spec {r} {a}" probes[s] = r try: fmax = max(fmax, int(r.split(",")[-1])) except Exception: pass for s in mapping[case]: f = f"bt_{case}_{s}.mp4" try: nf = int(probes[s].split(",")[-1]) if fmax and fmax - nf > 1: frame_notes.append(f"{SHORT[case]}{ZH[s]}少{fmax-nf}帧(档位长度钳制)") except Exception: pass k = f"{SHORT[case]}{ZH[s]}" parts.append(f'''
{ZH[s]}{CASES[case]["sub"].split(" · ")[-2]} · {CASES[case]["sub"].split(" · ")[-3]} · 原声🧬 {ENGINES[mapping[case][s]["eng"]]}
终审: ''' + "".join( f'' for g in "优良中差" ) + '''
''') panels_html[case] = "".join(parts) # CAL pair = S32 slot c both sides (v1 口径不变) cal_src = "bt_xjh_S3_2_c.mp4" (cal_r, cal_a) = probe(f"{OUT}/{cal_src}") assert cal_r and cal_a == "aac" cal_panels = "".join(f'''
{ZH[s]}校准片 · 两侧同片
终审: ''' + "".join( f'' for g in "优良中差" ) + '''
''' for s in ["a", "b"]) def group_html(gid, title, sub, panels, sound_labels, gridcls="quad"): return f'''

{title} {sub}

速度
出声
{panels}
''' snd_opts = {c: "".join(f'' for i, s in enumerate(mapping[c])) for c in CASES} cal_snd = '' def gridcls_of(case): n = len(mapping[case]) return "quad" if n == 4 else ("tri" if n == 3 else "duo") groups = [] for case, cd in CASES.items(): nrefs = len(json.load(open(f"{BASE}/cases.json"))[case]["refs"][:3]) refs = "".join(f'' for i in range(nrefs)) groups.append(group_html(case, cd["t"], cd["sub"] + " · 同seed同refs · 0.25×慢放判读：" + cd["g"] + " · 参考图为对照锚（不作判题）", panels_html[case], snd_opts[case], gridcls_of(case)) + f'
{refs}
' + f'') groups.append(group_html("cal", "CAL 校准组", "两侧同片（不计分母）。若判甲乙有明显差异 = 本轮判读作废，请重置状态后重评", cal_panels, cal_snd, gridcls="duo")) # reveal (0914 dual hard standard) — fasth3 臂无锁事件 → 显示 (串行全程) rev_rows = [] for case in CASES: for s in mapping[case]: d = mapping[case][s] k = f"{SHORT[case]}{ZH[s]}" if d["rs"] is None: tstr = f"{d['wall']}s (串行全程)" else: qws = f"{d['qw']:.0f}" if d["qw"] is not None else "-" rss = f"{d['rs']:.0f}" if d["rs"] is not None else "-" tstr = f"{d['wall']}s (渲{rss}+等锁{qws})" rev_rows.append(f'{SHORT[case]} {ZH[s]}{ENGINES[d["eng"]]}{tstr}—') reveal = ('
🔓 揭晓（评完再看）' + '
' + '' + "".join(rev_rows) + '
槽位引擎渲染耗时你的评分

*uncontended 串行协议：v1 三臂 24 臂零锁等待（等锁均<1s）；fasth3-V2 补测 9 臂同协议串行（无锁事件，全程即渲染）。' 'CAL组两侧均为 S32丙 同片。同case各臂同seed、同refs、同链（ref2va · H3 原生音频）；响度组内归一（同增益 · 真峰≈-3dB）。' + ("帧数注：" + "；".join(frame_notes) + "。" if frame_notes else "") + '标准集 val 三 case 有一臂因 241f 边界门拒单缺席（三臂组，缺席臂不计分母）。' + 'fasth3-V2 于 09-16 同协议补测并入（丁/丙槽）。评分制式 优=3/良=2/中=1/差=0 求和排名。

') ALLK = ",".join(f'"{SHORT[c]}{ZH[s]}"' for c in CASES for s in mapping[c]) CASESHORT = json.dumps(SHORT, ensure_ascii=False) ENGS_JSON = json.dumps({c: {s: ENGINES[mapping[c][s]["eng"]] for s in mapping[c]} for c in CASES}, ensure_ascii=False) JS = r''' const KEY='__KEY__'; let V=JSON.parse(localStorage.getItem(KEY+'_v')||'{}'); let N=JSON.parse(localStorage.getItem(KEY+'_n')||'{}'); const ENGINE_ARMS=[__ALLK__]; const SHORT=__CASESHORT__; const ENGS=__ENGS__; const SCORE={'优':3,'良':2,'中':1,'差':0}; function clean(s){return (s||'').replace(/[\[=\|]/g,' ').replace(/\s+/g,' ').trim().slice(0,80);} function setVote(k,g,btn){ if(V[k]===g){delete V[k];}else{V[k]=g;} localStorage.setItem(KEY+'_v',JSON.stringify(V)); paint(); updateBar(); paintReveal(); } function paint(){ document.querySelectorAll('.chips').forEach(ch=>{ const k=ch.dataset.k; ch.querySelectorAll('.vbtn').forEach(b=>{b.classList.toggle('active',V[k]===b.dataset.v);}); }); } document.addEventListener('input',e=>{ if(e.target.classList&&e.target.classList.contains('cmt')&&e.target.id!=='ovr'){ const c=e.target.id.replace('cmt_',''); if(e.target.value)N[c]=e.target.value;else delete N[c]; localStorage.setItem(KEY+'_n',JSON.stringify(N)); updateBar(); } if(e.target.id==='ovr'){N._overall=e.target.value;localStorage.setItem(KEY+'_n',JSON.stringify(N));updateBar();} }); function bestOf(cs){ const slots=Object.keys(ENGS[cs]).map(s=>SHORT[cs]+({a:'甲',b:'乙',c:'丙',d:'丁'})[s]); const voted=slots.filter(k=>V[k]); if(!voted.length)return null; const mx=Math.max(...voted.map(k=>SCORE[V[k]])); const win=voted.filter(k=>SCORE[V[k]]===mx); return {win:win, label:V[win[0]], tie:win.length>1, full:voted.length===slots.length}; } function paintReveal(){ let bh=''; for(const cs of Object.keys(ENGS)){ const b=bestOf(cs); if(!b){bh+='
⏳ '+SHORT[cs]+'：未评
';continue;} if(!b.full){bh+='
⏳ '+SHORT[cs]+'：评了 '+b.win.length+'/'+Object.keys(ENGS[cs]).length+' 臂（全臂评完出结论）
';continue;} const names=b.win.map(k=>k.slice(-1)+' = '+ENGS[cs][({甲:'a',乙:'b',丙:'c',丁:'d'})[k.slice(-1)]]).join('　|　'); bh+='
🏆 '+SHORT[cs]+' 你评最高: '+names+(b.tie?' （并列）':'')+'
'; } const bel=document.getElementById('banners'); if(bel)bel.innerHTML=bh; for(const k of ENGINE_ARMS.concat(['CAL甲','CAL乙'])){ const el=document.getElementById('rv_'+k); if(!el)continue; const v=V[k]; el.textContent=v||'—'; el.className='rv '+(v==='优'?'rv3':v==='良'?'rv2':v==='中'?'rv1':v==='差'?'rv0':''); const row=document.getElementById('rvrow_'+k); if(row)row.classList.toggle('rvrow-voted',!!v); const y=document.getElementById('yours_'+k); if(y)y.textContent=v?('你的选择: '+v):''; } } function buildSummary(){ const done=ENGINE_ARMS.filter(k=>V[k]).length; let parts=ENGINE_ARMS.map(k=>k+'='+(V[k]||'?')); const cal=['CAL甲','CAL乙'].map(k=>k+'='+(V[k]||'?')); let s='4引擎盲选 '+done+'/'+ENGINE_ARMS.length+': '+parts.join(' ')+' CAL: '+cal.join(' '); const notes=Object.keys(SHORT).filter(c=>N[c]).map(c=>SHORT[c]+'注['+clean(N[c])+']'); if(notes.length)s+=' | '+notes.join(' '); s+=' | 总评:'+(N._overall?clean(N._overall):'—'); return s; } function updateBar(){document.getElementById('sumbox').value=buildSummary();} function doCopy(){ const t=document.getElementById('sumbox').value; const b=document.querySelector('#copybtn'); const o=b.textContent; const ok=()=>{b.textContent='✅ 已复制';setTimeout(()=>b.textContent=o,2500);}; if(window.isSecureContext&&navigator.clipboard&&navigator.clipboard.writeText){ navigator.clipboard.writeText(t).then(ok,ok); }else{ const ta=document.getElementById('sumbox'); ta.focus(); ta.select(); let good=false; try{good=document.execCommand('copy');}catch(e){} ok(); if(!good)alert('请手动全选文本框复制'); } } function fsGo(v){ if(document.fullscreenElement){document.exitFullscreen();return;} (v.requestFullscreen||v.webkitRequestFullscreen||function(){}).call(v); } function setupGroup(gid){ const root=document.getElementById('g_'+gid); const vids=Array.from(document.getElementById('g_'+gid+'_row').querySelectorAll('video')); let master=null; function adopt(m){master=m;root.querySelectorAll('.panel').forEach(p=>p.classList.remove('master-hint'));m.closest('.panel').classList.add('master-hint');syncTo(m);} function syncTo(m){vids.forEach(v=>{if(v!==m){ try{if(Math.abs(v.currentTime-m.currentTime)>0.05)v.currentTime=m.currentTime;}catch(e){} if(m.paused){if(!v.paused)v.pause();}else if(v.paused)v.play().catch(()=>{}); }});} root.querySelector('.act-play').onclick=()=>{const m=master||vids[0];m.play().catch(()=>{});adopt(m);}; root.querySelector('.act-pause').onclick=()=>{(master||vids[0]).pause();adopt(master||vids[0]);}; root.querySelector('.act-restart').onclick=()=>{vids.forEach(v=>{try{v.currentTime=0;}catch(e){}});adopt(master||vids[0]);}; vids.forEach(v=>{ ['play','pause','seeked'].forEach(ev=>v.addEventListener(ev,()=>{if(master===v)syncTo(v);})); v.addEventListener('click',()=>{adopt(v);if(v.paused)v.play().catch(()=>{});}); v.addEventListener('dblclick',()=>fsGo(v)); }); setInterval(()=>{const m=master||vids[0]; if(m&&!m.paused){vids.forEach(v=>{if(v!==m&&Math.abs(v.currentTime-m.currentTime)>0.08){try{v.currentTime=m.currentTime;}catch(e){}}});} },400); root.querySelector('.rate').onchange=e=>{vids.forEach(v=>{try{v.playbackRate=parseFloat(e.target.value);}catch(err){}});}; root.querySelector('.snd').onchange=e=>{const i=parseInt(e.target.value);vids.forEach((v,j)=>v.muted=(j!==i));}; root.querySelector('.act-zoom').onclick=e=>{const on=e.target.classList.toggle('on'); root.querySelectorAll('.vidwrap').forEach(w=>w.classList.toggle('zoomed',on)); e.target.textContent=on?'🔍 已放大（点此还原）':'🔍 放大 2.2×';}; } __GROUPIDS__.forEach(setupGroup); paint();updateBar();paintReveal(); document.getElementById('reveal').addEventListener('toggle',()=>{ document.body.classList.toggle('revealed',document.getElementById('reveal').open); paintReveal(); }); '''.replace('__KEY__', KEY).replace('__ALLK__', ALLK).replace('__CASESHORT__', CASESHORT).replace('__ENGS__', ENGS_JSON).replace('__GROUPIDS__', json.dumps(list(CASES) + ["cal"])) HTML = ''' 4引擎盲选 · gpunoise重跑+V2补测 (33臂同seed·uncontended)

🎬 4引擎盲选 · gpunoise 无噪重跑 + V2 补测（甲/乙/丙/丁 · 同seed同refs · uncontended）

口径：9 case（小江湖生产镜头×6 + 标准集×3），v1 三臂 + 09-16 补测第四臂，同 case 同 seed 同 refs 同链（ref2va · H3 原生音频）。 串行无竞争协议：全部臂零锁等待污染（渲染s 为干净口径）。组内响度归一（同增益 · 真峰≈-3dB）。 逐臂优良中差 + 组意见 + 总评 → 底部一键复制贴回群。CAL 校准组两侧同片（不计分母）。 注：优=3/良=2/中=1/差=0 求和排名；标准集 val 三 case 各有一臂因时长边界门拒单缺席（三臂组，缺席臂不计分母）。评完展开页底揭晓（含逐 case 结论条 + 你的选择高亮 + 耗时拆分）。此前已评的甲/乙/丙投票自动保留。
__GROUPS__
__REVEAL__
''' html = (HTML.replace("__GROUPS__", "".join(groups)) .replace("__REVEAL__", reveal) .replace("__JS__", JS)) open(f"{OUT}/index.html", "w").write(html) # ===== self-checks ===== body_no_reveal = html.split('
')[0] scan = re.sub(r'.*?', '', body_no_reveal, flags=re.S) leaks = [t for t in ["rh-v4", "fasth3", "FastH3", "vdn", "lightx2v", "LXV", "LightX2V", "int8"] if t.lower() in scan.lower()] assert not leaks, f"engine leak in blind section: {leaks}" # v1 槽位连续性断言: 老 a/b/c 引擎归属不变 for case in CASES: for s, d in v1map[case].items(): assert mapping[case][s]["eng"] == d["eng"], f"slot drift {case}{s}" srcs = re.findall(r'src="([^"]+\.mp4)"', html) for s in set(srcs): assert os.path.exists(f"{OUT}/{s}") and os.path.getsize(f"{OUT}/{s}") > 100000, f"missing {s}" n_panels = sum(len(mapping[c]) for c in CASES) + 2 n_fs = html.count("fs-btn") assert n_fs >= n_panels, f"fullscreen buttons {n_fs} < {n_panels}" assert html.count("vbtn") >= n_panels * 4 assert html.count("", html, re.S) _jf = "/tmp/_gpn4_js_check.js" open(_jf, "w").write(mjs.group(1)) _r = subprocess.run(["node", "--check", _jf], capture_output=True, text=True) assert _r.returncode == 0, f"JS syntax error: {_r.stderr[-400:]}" open(f"{OUT}/.selfcheck", "w").write("OK") print("BUILDER_V2_OK") print("mapping:", json.dumps({SHORT[c]: {s: ENGINES[d['eng']] for s, d in v.items()} for c, v in mapping.items()}, ensure_ascii=False)) print("videos:", len(set(srcs)), "| fs-btn:", n_fs, "| size:", os.path.getsize(f"{OUT}/index.html"))