1028 lines
26 KiB
HTML
1028 lines
26 KiB
HTML
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<!doctype html>
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<html lang="en" class="no-js">
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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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<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="prev" href="../gallery-scope/">
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<link rel="next" href="../lvface-deep-dive/">
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<link rel="icon" href="../assets/images/favicon.png">
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<meta name="generator" content="mkdocs-1.6.1, mkdocs-material-9.7.7">
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<title>Pose Expansion - scene-actor-extraction</title>
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<link rel="stylesheet" href="../assets/stylesheets/main.ec1eaa64.min.css">
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<link rel="stylesheet" href="../assets/stylesheets/palette.ab4e12ef.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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<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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</head>
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<body dir="ltr" data-md-color-scheme="slate" data-md-color-primary="indigo" data-md-color-accent="indigo">
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<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
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<input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
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<label class="md-overlay" for="__drawer"></label>
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<div data-md-component="skip">
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<a href="#pose-expansion-does-learning-new-poses-mid-film-help" class="md-skip">
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Skip to content
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</a>
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</div>
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<div data-md-component="announce">
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</div>
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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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</a>
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<label class="md-header__button md-icon" for="__drawer">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3zm0 5h18v2H3zm0 5h18v2H3z"/></svg>
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</label>
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<div class="md-header__title" data-md-component="header-title">
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<div class="md-header__ellipsis">
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<div class="md-header__topic">
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<span class="md-ellipsis">
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scene-actor-extraction
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</span>
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</div>
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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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Pose Expansion
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</span>
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</div>
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</div>
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</div>
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<form class="md-header__option" data-md-component="palette">
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<input class="md-option" data-md-color-media="" data-md-color-scheme="slate" data-md-color-primary="indigo" data-md-color-accent="indigo" aria-hidden="true" type="radio" name="__palette" id="__palette_0">
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</form>
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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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<label class="md-header__button md-icon" for="__search">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.52 6.52 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5"/></svg>
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</label>
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<div class="md-search" data-md-component="search" role="dialog">
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<label class="md-search__overlay" for="__search"></label>
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<div class="md-search__inner" role="search">
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<form class="md-search__form" name="search">
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<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" required>
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<label class="md-search__icon md-icon" for="__search">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0 1 16 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.52 6.52 0 0 1 9.5 16 6.5 6.5 0 0 1 3 9.5 6.5 6.5 0 0 1 9.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5"/></svg>
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11z"/></svg>
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</label>
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<nav class="md-search__options" aria-label="Search">
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<button type="reset" class="md-search__icon md-icon" title="Clear" aria-label="Clear" tabindex="-1">
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<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41 17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12z"/></svg>
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</button>
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</nav>
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</form>
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<div class="md-search__output">
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<div class="md-search__scrollwrap" tabindex="0" data-md-scrollfix>
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<div class="md-search-result" data-md-component="search-result">
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<div class="md-search-result__meta">
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Initializing search
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</div>
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<ol class="md-search-result__list" role="presentation"></ol>
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</div>
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</div>
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</div>
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</div>
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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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<div class="md-source__icon md-icon">
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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>
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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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</div>
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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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<ul class="md-tabs__list">
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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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</a>
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</li>
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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="../rep4-optimizer-results/" class="md-tabs__link">
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Rep4 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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</li>
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</ul>
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</div>
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</nav>
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<main class="md-main" data-md-component="main">
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<div class="md-main__inner md-grid">
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<div class="md-sidebar md-sidebar--primary" data-md-component="sidebar" data-md-type="navigation" >
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<div class="md-sidebar__scrollwrap">
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<div class="md-sidebar__inner">
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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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</label>
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<div class="md-nav__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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<div class="md-source__icon md-icon">
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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>
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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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</div>
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<ul class="md-nav__list" data-md-scrollfix>
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<li class="md-nav__item">
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<a href=".." class="md-nav__link">
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<span class="md-ellipsis">
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Home
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</span>
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</a>
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</li>
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<li class="md-nav__item md-nav__item--active md-nav__item--section md-nav__item--nested">
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||
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||
<input class="md-nav__toggle md-toggle " type="checkbox" id="__nav_2" checked>
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||
|
||
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<label class="md-nav__link" for="__nav_2" id="__nav_2_label" tabindex="">
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||
|
||
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||
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<span class="md-ellipsis">
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||
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||
|
||
Findings
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||
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||
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||
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</span>
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||
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||
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||
<span class="md-nav__icon md-icon"></span>
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||
</label>
|
||
|
||
<nav class="md-nav" data-md-level="1" aria-labelledby="__nav_2_label" aria-expanded="true">
|
||
<label class="md-nav__title" for="__nav_2">
|
||
<span class="md-nav__icon md-icon"></span>
|
||
|
||
|
||
Findings
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||
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||
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</label>
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||
<ul class="md-nav__list" data-md-scrollfix>
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||
|
||
|
||
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||
|
||
|
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<li class="md-nav__item">
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||
<a href="../best-model/" class="md-nav__link">
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||
|
||
|
||
|
||
<span class="md-ellipsis">
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||
|
||
|
||
Best Model
|
||
|
||
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||
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||
</span>
|
||
|
||
|
||
|
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</a>
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||
</li>
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||
|
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|
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|
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<li class="md-nav__item">
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||
<a href="../gallery-scope/" class="md-nav__link">
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||
|
||
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||
|
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<span class="md-ellipsis">
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||
|
||
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||
Gallery Scope (Full vs. Limited)
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||
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||
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</span>
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||
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||
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</a>
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</li>
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<li class="md-nav__item md-nav__item--active">
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|
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<input class="md-nav__toggle md-toggle" type="checkbox" id="__toc">
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|
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|
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|
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|
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<label class="md-nav__link md-nav__link--active" for="__toc">
|
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|
||
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<span class="md-ellipsis">
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|
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Pose Expansion
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</span>
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<span class="md-nav__icon md-icon"></span>
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</label>
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|
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<a href="./" class="md-nav__link md-nav__link--active">
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|
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|
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<span class="md-ellipsis">
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Pose Expansion
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</span>
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|
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|
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</a>
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|
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<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
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||
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<label class="md-nav__title" for="__toc">
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The training-set signal
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Held-out test: does it reproduce?
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LVFace Deep Dive
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Rep4 Bake-off & Re-tune (full log)
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Optimizer Experiments (prior round)
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Service Conversion (proposal)
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<h1 id="pose-expansion-does-learning-new-poses-mid-film-help">Pose expansion: does "learning" new poses mid-film help?<a class="headerlink" href="#pose-expansion-does-learning-new-poses-mid-film-help" title="Permanent link">¶</a></h1>
|
||
<p><code>expand_gallery</code> (<code>src/gallery/track_gallery.hpp</code>) promotes a confidently-identified
|
||
track's novel-pose reference views into a per-film, in-memory gallery annex — the
|
||
idea being that once the pipeline is sure who someone is, a pose it hasn't seen
|
||
before (turned head, different lighting) becomes a free extra reference for
|
||
recognising that actor again later in the same film, without touching the baked
|
||
gallery.</p>
|
||
<h2 id="the-training-set-signal">The training-set signal<a class="headerlink" href="#the-training-set-signal" title="Permanent link">¶</a></h2>
|
||
<p>Averaged across all 4 models, on the 4 films used for optimization:</p>
|
||
<table>
|
||
<thead>
|
||
<tr>
|
||
<th>scope</th>
|
||
<th>expansion</th>
|
||
<th>F1</th>
|
||
<th>R</th>
|
||
<th>misID</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<td>full</td>
|
||
<td>off</td>
|
||
<td>71.2%</td>
|
||
<td>58.3%</td>
|
||
<td>209</td>
|
||
</tr>
|
||
<tr>
|
||
<td>full</td>
|
||
<td><strong>on</strong></td>
|
||
<td>71.2%</td>
|
||
<td>59.7%</td>
|
||
<td><strong>864</strong></td>
|
||
</tr>
|
||
<tr>
|
||
<td>restricted</td>
|
||
<td>off</td>
|
||
<td>73.6%</td>
|
||
<td>61.3%</td>
|
||
<td>194</td>
|
||
</tr>
|
||
<tr>
|
||
<td>restricted</td>
|
||
<td><strong>on</strong></td>
|
||
<td><strong>75.4%</strong></td>
|
||
<td><strong>64.5%</strong></td>
|
||
<td>135</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p>In <code>restricted</code> mode (matcher's candidate set capped to the film's own credited
|
||
cast) expansion looked like a clean win: +1.8pp F1, +3.2pp recall, misID actually
|
||
lower. In <code>full</code> mode it looked flat-to-costly: ~0 F1 change, recall +1.4pp, but
|
||
misID roughly quadrupled (209 → 864) — see <code>rep4-optimizer-results.md</code> for the
|
||
per-model breakdown. That's the number that motivated this page: <strong>does turning
|
||
expansion on actually change what gets recognised, frame by frame, or is the
|
||
aggregate F1 shift something else?</strong></p>
|
||
<h2 id="held-out-test-does-it-reproduce">Held-out test: does it reproduce?<a class="headerlink" href="#held-out-test-does-it-reproduce" title="Permanent link">¶</a></h2>
|
||
<p>Same model + same tuned config, <code>expand_gallery</code> toggled on vs. off, nothing else
|
||
changed — full gallery mode, per-second scoring against X-Ray. This isolates
|
||
expansion from every other variable (config, model, threshold) that differs
|
||
between the training-set <code>exp</code>/<code>noexp</code> rows above.</p>
|
||
<p><strong>LVFace-B Glint360K, all 5 held-out films</strong> (films never seen by the optimizer):</p>
|
||
<table>
|
||
<thead>
|
||
<tr>
|
||
<th>film</th>
|
||
<th>F1 (exp)</th>
|
||
<th>F1 (noexp)</th>
|
||
<th>TPI Δ</th>
|
||
<th>FN Δ</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<td>Benny & Joon</td>
|
||
<td>83.0%</td>
|
||
<td>83.0%</td>
|
||
<td>-2</td>
|
||
<td>+2</td>
|
||
</tr>
|
||
<tr>
|
||
<td>Downton Abbey: A New Era</td>
|
||
<td>56.1%</td>
|
||
<td>56.2%</td>
|
||
<td>-7</td>
|
||
<td>+7</td>
|
||
</tr>
|
||
<tr>
|
||
<td>Lovelace</td>
|
||
<td>77.5%</td>
|
||
<td>77.4%</td>
|
||
<td>+33</td>
|
||
<td>-33</td>
|
||
</tr>
|
||
<tr>
|
||
<td>The Many Saints of Newark</td>
|
||
<td>46.3%</td>
|
||
<td>46.3%</td>
|
||
<td>+2</td>
|
||
<td>-2</td>
|
||
</tr>
|
||
<tr>
|
||
<td>Valerian and the City of a Thousand Planets</td>
|
||
<td>74.1%</td>
|
||
<td>74.1%</td>
|
||
<td>+2</td>
|
||
<td>-2</td>
|
||
</tr>
|
||
</tbody>
|
||
</table>
|
||
<p><strong>ArcFace R18</strong> (Benny & Joon, r18's own tuned config): F1 77.1% for both, TPI/FN
|
||
identical, FPI differs by 2 (noise).</p>
|
||
<p><strong>Every film, both models tested: F1 within 0.1–0.2pp, TPI/FN swings in the tens
|
||
out of tens of thousands.</strong> That's noise, not a signal — expansion made no
|
||
measurable difference to per-second onscreen identification anywhere it was
|
||
tested on unseen data.</p>
|
||
<h2 id="two-bugs-this-required-catching-this-sections-own-methodology">Two bugs this required catching (this section's own methodology)<a class="headerlink" href="#two-bugs-this-required-catching-this-sections-own-methodology" title="Permanent link">¶</a></h2>
|
||
<p>Getting to the clean table above took two wrong turns, both worth recording
|
||
since they're exactly the kind of error that produces a false positive "look,
|
||
expansion helped!" finding:</p>
|
||
<ol>
|
||
<li><strong>Timeout truncation.</strong> The first Downton Abbey <code>exp</code> replay was cut off by a
|
||
60s subprocess timeout at ~76% through the film (5589 of 7368 expected
|
||
seconds) — a genuinely large, silent data loss that showed up as a large,
|
||
convincing-looking TPI gap (47938 vs 52032) purely because one run had a
|
||
quarter of the film missing. Caught by comparing <code>n_seconds</code> between runs
|
||
before trusting any score delta; fixed by re-running with a longer timeout.</li>
|
||
<li><strong>Bbox-matching bug.</strong> An early per-second raw-annotation diff matched each
|
||
<code>exp</code> detection to the <em>first</em> <code>noexp</code> detection with IoU > 0.5, not the
|
||
<em>best</em>-overlapping one. With 3 faces close together in frame, this produced
|
||
spurious "disagreements" (e.g. "exp says Aidan Quinn, noexp says Johnny
|
||
Depp" at the same seconds) that vanished entirely once the match picked the
|
||
true best-IoU candidate — both configs had actually output the exact same
|
||
three names at the exact same three boxes.</li>
|
||
</ol>
|
||
<p>Both bugs independently pointed toward "expansion is doing something," and both
|
||
were artifacts of the comparison harness, not the pipeline. Worth remembering
|
||
when a before/after diff looks dramatic: check that the two runs actually cover
|
||
the same seconds, and match entities by best overlap, not first-found.</p>
|
||
<h2 id="what-this-means">What this means<a class="headerlink" href="#what-this-means" title="Permanent link">¶</a></h2>
|
||
<p>The training-set aggregate effect (particularly the ~4x misID increase in full
|
||
mode) doesn't reproduce on held-out data — at minimum it's far smaller than the
|
||
training-set numbers suggested, and plausibly it's sampling variation from only
|
||
4 training films rather than a real, generalizable mechanism. This doesn't mean
|
||
<code>expand_gallery</code> never does anything (the mechanism is real — see
|
||
<code>track_gallery.hpp</code>'s promotion logging: tracks <em>do</em> get confirmed and views <em>do</em>
|
||
get promoted into the annex on every film tested), only that <strong>whatever effect
|
||
it has on final per-second identification was too small to detect against 5
|
||
held-out films</strong> with this scoring method. A cleaner test would need either many
|
||
more held-out films or a metric that can see the annex's direct contribution
|
||
(e.g. tagging which reference embedding won each match), neither of which this
|
||
pass had budget for.</p>
|
||
<p><strong>Practical takeaway</strong>: don't treat the training-set <code>exp</code> vs <code>noexp</code> numbers in
|
||
<code>rep4-optimizer-results.md</code> as proof that expansion changes real-world behavior
|
||
in either direction — on the evidence gathered so far, it doesn't move the
|
||
needle enough to see.</p>
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
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||
|
||
|
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</article>
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