962 lines
26 KiB
HTML
962 lines
26 KiB
HTML
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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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<meta name="description" content="Face-recognition pipeline for finding on-screen actor presence in film/TV, built on KPN++">
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<link rel="canonical" href="https://pages.tourolle.paris/dtourolle/scene-actor-extraction/gallery-scope/">
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<link rel="prev" href="../best-model/">
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<link rel="next" href="../pose-expansion/">
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<meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.7.7">
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<title>Gallery Scope (Full vs. Limited) - scene-actor-extraction</title>
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<link rel="stylesheet" href="../assets/stylesheets/main.ec1eaa64.min.css">
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<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
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<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,300i,400,400i,700,700i%7CRoboto+Mono:400,400i,700,700i&display=fallback">
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<style>:root{--md-text-font:"Roboto";--md-code-font:"Roboto Mono"}</style>
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<link rel="stylesheet" href="../stylesheets/extra.css">
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<script>__md_scope=new URL("..",location),__md_hash=e=>[...e].reduce(((e,_)=>(e<<5)-e+_.charCodeAt(0)),0),__md_get=(e,_=localStorage,t=__md_scope)=>JSON.parse(_.getItem(t.pathname+"."+e)),__md_set=(e,_,t=localStorage,a=__md_scope)=>{try{t.setItem(a.pathname+"."+e,JSON.stringify(_))}catch(e){}}</script>
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<a href="#whole-gallery-vs-limited-cast-restricted-gallery" class="md-skip">
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Skip to content
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<header class="md-header" data-md-component="header">
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<nav class="md-header__inner md-grid" aria-label="Header">
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<a href=".." title="scene-actor-extraction" class="md-header__button md-logo" aria-label="scene-actor-extraction" data-md-component="logo">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54"/></svg>
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<div class="md-header__ellipsis">
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<div class="md-header__topic">
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scene-actor-extraction
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<div class="md-header__topic" data-md-component="header-topic">
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<span class="md-ellipsis">
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Gallery Scope (Full vs. Limited)
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 7a5 5 0 0 1 5 5 5 5 0 0 1-5 5 5 5 0 0 1-5-5 5 5 0 0 1 5-5m0 2a3 3 0 0 0-3 3 3 3 0 0 0 3 3 3 3 0 0 0 3-3 3 3 0 0 0-3-3m0-7 2.39 3.42C13.65 5.15 12.84 5 12 5s-1.65.15-2.39.42zM3.34 7l4.16-.35A7.2 7.2 0 0 0 5.94 8.5c-.44.74-.69 1.5-.83 2.29zm.02 10 1.76-3.77a7.131 7.131 0 0 0 2.38 4.14zM20.65 7l-1.77 3.79a7.02 7.02 0 0 0-2.38-4.15zm-.01 10-4.14.36c.59-.51 1.12-1.14 1.54-1.86.42-.73.69-1.5.83-2.29zM12 22l-2.41-3.44c.74.27 1.55.44 2.41.44.82 0 1.63-.17 2.37-.44z"/></svg>
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<script>var palette=__md_get("__palette");if(palette&&palette.color){if("(prefers-color-scheme)"===palette.color.media){var media=matchMedia("(prefers-color-scheme: light)"),input=document.querySelector(media.matches?"[data-md-color-media='(prefers-color-scheme: light)']":"[data-md-color-media='(prefers-color-scheme: dark)']");palette.color.media=input.getAttribute("data-md-color-media"),palette.color.scheme=input.getAttribute("data-md-color-scheme"),palette.color.primary=input.getAttribute("data-md-color-primary"),palette.color.accent=input.getAttribute("data-md-color-accent")}for(var[key,value]of Object.entries(palette.color))document.body.setAttribute("data-md-color-"+key,value)}</script>
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Initializing search
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</div>
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<div class="md-header__source">
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<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction" title="Go to repository" class="md-source" data-md-component="source">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M439.6 236.1 244 40.5c-5.4-5.5-12.8-8.5-20.4-8.5s-15 3-20.4 8.4L162.5 81l51.5 51.5c27.1-9.1 52.7 16.8 43.4 43.7l49.7 49.7c34.2-11.8 61.2 31 35.5 56.7-26.5 26.5-70.2-2.9-56-37.3L240.3 199v121.9c25.3 12.5 22.3 41.8 9.1 55-6.4 6.4-15.2 10.1-24.3 10.1s-17.8-3.6-24.3-10.1c-17.6-17.6-11.1-46.9 11.2-56v-123c-20.8-8.5-24.6-30.7-18.6-45L142.6 101 8.5 235.1C3 240.6 0 247.9 0 255.5s3 15 8.5 20.4l195.6 195.7c5.4 5.4 12.7 8.4 20.4 8.4s15-3 20.4-8.4l194.7-194.7c5.4-5.4 8.4-12.8 8.4-20.4s-3-15-8.4-20.4"/></svg>
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<div class="md-source__repository">
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dtourolle/scene-actor-extraction
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</div>
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</a>
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</nav>
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</header>
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<div class="md-container" data-md-component="container">
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<nav class="md-tabs" aria-label="Tabs" data-md-component="tabs">
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<div class="md-grid">
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<li class="md-tabs__item">
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<a href=".." class="md-tabs__link">
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Home
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<li class="md-tabs__item md-tabs__item--active">
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<a href="../best-model/" class="md-tabs__link">
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Findings
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</a>
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</li>
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<li class="md-tabs__item">
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<a href="../model-bakeoff/" class="md-tabs__link">
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Model Bake-off & Re-tune (full log)
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</a>
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</li>
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<li class="md-tabs__item">
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<a href="../optimizer-experiments/" class="md-tabs__link">
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Optimizer Experiments (prior round)
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</a>
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</li>
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<li class="md-tabs__item">
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<a href="../service-conversion/" class="md-tabs__link">
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Service Conversion (proposal)
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</a>
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<main class="md-main" data-md-component="main">
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<nav class="md-nav md-nav--primary md-nav--lifted" aria-label="Navigation" data-md-level="0">
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<label class="md-nav__title" for="__drawer">
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<a href=".." title="scene-actor-extraction" class="md-nav__button md-logo" aria-label="scene-actor-extraction" data-md-component="logo">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 0 0 3-3 3 3 0 0 0-3-3 3 3 0 0 0-3 3 3 3 0 0 0 3 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54"/></svg>
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</a>
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scene-actor-extraction
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<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction" title="Go to repository" class="md-source" data-md-component="source">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><!--! Font Awesome Free 7.1.0 by @fontawesome - https://fontawesome.com License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) Copyright 2025 Fonticons, Inc.--><path d="M439.6 236.1 244 40.5c-5.4-5.5-12.8-8.5-20.4-8.5s-15 3-20.4 8.4L162.5 81l51.5 51.5c27.1-9.1 52.7 16.8 43.4 43.7l49.7 49.7c34.2-11.8 61.2 31 35.5 56.7-26.5 26.5-70.2-2.9-56-37.3L240.3 199v121.9c25.3 12.5 22.3 41.8 9.1 55-6.4 6.4-15.2 10.1-24.3 10.1s-17.8-3.6-24.3-10.1c-17.6-17.6-11.1-46.9 11.2-56v-123c-20.8-8.5-24.6-30.7-18.6-45L142.6 101 8.5 235.1C3 240.6 0 247.9 0 255.5s3 15 8.5 20.4l195.6 195.7c5.4 5.4 12.7 8.4 20.4 8.4s15-3 20.4-8.4l194.7-194.7c5.4-5.4 8.4-12.8 8.4-20.4s-3-15-8.4-20.4"/></svg>
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<div class="md-source__repository">
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dtourolle/scene-actor-extraction
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<span class="md-ellipsis">
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Findings
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Findings
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<h1 id="whole-gallery-vs-limited-cast-restricted-gallery">Whole gallery vs. limited (cast-restricted) gallery<a class="headerlink" href="#whole-gallery-vs-limited-cast-restricted-gallery" title="Permanent link">¶</a></h1>
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<p>Two ways to run the matcher: <strong>full</strong> scores every detected face against the
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entire library gallery (2418 actors across the 9-film benchmark set); <strong>restricted</strong>
|
|
pre-filters each film's gallery down to just its Jellyfin-credited cast (typically
|
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~15 top-billed actors) before the matcher ever runs.</p>
|
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<h2 id="the-result">The result<a class="headerlink" href="#the-result" title="Permanent link">¶</a></h2>
|
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<p>Averaged across all 4 models and both expansion settings, on the 4 bake-off training
|
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films:</p>
|
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<table>
|
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<thead>
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<tr>
|
|
<th>scope</th>
|
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<th>F1</th>
|
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<th>P</th>
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<th>R</th>
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<th>total misID (8 evals)</th>
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</tr>
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</thead>
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<tbody>
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<tr>
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<td>full</td>
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<td>71.2%</td>
|
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<td>91.1%</td>
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<td>59.0%</td>
|
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<td>1073</td>
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</tr>
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<tr>
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<td><strong>restricted</strong></td>
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<td><strong>74.5%</strong></td>
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<td>92.2%</td>
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<td><strong>62.9%</strong></td>
|
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<td><strong>329</strong></td>
|
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</tr>
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</tbody>
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</table>
|
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<p>This is not a precision/recall trade — restriction wins on every axis at once:
|
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<strong>+3.3pp F1, +3.9pp recall, and less than a third the total misIDs.</strong> Fewer
|
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candidates in the matcher's search space means fewer opportunities for a
|
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look-alike false match (an actor who happens to share enough facial structure
|
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with someone in the film, but isn't actually in it), and the recall gain shows
|
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it isn't costing real detections to get there.</p>
|
|
<p>Per-model, every single model's best-scoring combo in the full 16-way matrix is
|
|
a <code>restricted</code> variant — visible directly in the ranking below (filled dots =
|
|
restricted, open = full; the filled dots cluster at the top for every color):</p>
|
|
<p><img alt="All 16 bake-off combos — filled dots (restricted) dominate the top" src="../assets/images/rep4_matrix_f1.png" /></p>
|
|
<p>See the full table in the
|
|
<a href="../model-bakeoff/">bake-off experiment log</a>. Two
|
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combos hit <strong>zero</strong> true out-of-cast misidentifications:
|
|
<code>arcface_w600k_mbf_restricted_exp</code> (F1 76.5%) and, in full mode,
|
|
<code>LVFace-B_Glint360K_full_noexp</code> (F1 72.4%) — restriction isn't the only way to
|
|
reach misid=0, but it's the more reliable one.</p>
|
|
<h2 id="why-this-isnt-the-shipped-default">Why this isn't the shipped default<a class="headerlink" href="#why-this-isnt-the-shipped-default" title="Permanent link">¶</a></h2>
|
|
<p>Cast-restriction is implemented today only as an <strong>offline optimizer technique</strong>
|
|
(<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/4b5557974bef8783bacc375c0869e8f589d1b0a3/scripts/optimizer/cast_restrict.py"><code>scripts/optimizer/cast_restrict.py</code></a>):
|
|
it pre-builds a filtered gallery file
|
|
per film, using Jellyfin's own cast list, before the benchmark ever calls the
|
|
matcher. There's no runtime "restrict matching to this title's credited cast"
|
|
switch in the shipped application — <code>scene_analyze</code> always matches against
|
|
whatever single gallery file it's given.</p>
|
|
<p>Building that as a real feature would need, at minimum:</p>
|
|
<ul>
|
|
<li>A live Jellyfin cast lookup at analysis time (the title is already known —
|
|
<a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/4b5557974bef8783bacc375c0869e8f589d1b0a3/scripts/run_from_jellyfin.py"><code>scripts/run_from_jellyfin.py</code></a>
|
|
already does this same lookup for its own
|
|
<code>filter_gallery</code>-based restriction path, just not wired into <code>scene_analyze</code>
|
|
itself as a first-class option).</li>
|
|
<li>A decision on the <em>fallback</em>: what happens to a real, uncredited cameo
|
|
(see the Germar Terrell Gardner case in the LVFace deep-dive) if the gallery
|
|
never includes them at all?</li>
|
|
<li>Regenerating the restricted-gallery cache whenever the title's Jellyfin cast
|
|
list changes.</li>
|
|
</ul>
|
|
<p>This is why the shipped <a href="https://gitea.tourolle.paris/dtourolle/scene-actor-extraction/raw/commit/4b5557974bef8783bacc375c0869e8f589d1b0a3/src/config.hpp"><code>src/config.hpp</code></a>
|
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defaults use the <code>full</code>-mode winner
|
|
(<code>LVFace-B_Glint360K_full_exp</code>, F1 75.3% training / 67.4% held-out macro) rather
|
|
than the higher-scoring <code>restricted_exp</code> (78.3%) — the 78.3% number describes a
|
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capability the app doesn't have yet, not what actually ships.</p>
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