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2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035 2036 2037 2038 2039 2040 2041 2042 2043 2044 2045 2046 2047 2048 2049 2050 2051 2052 2053 2054 2055 2056 2057 2058 2059 2060 2061 2062 2063 2064 2065 2066 2067 2068 2069 2070 2071 2072 2073 2074 2075 2076 2077 2078 2079 2080 2081 2082 2083 2084 2085 2086 2087 2088 2089 2090 2091 2092 2093 2094 2095 2096 2097 2098 2099 2100 2101 2102 2103 2104 2105 2106 2107 2108 2109 2110 2111 2112 2113 2114 2115 2116 2117 2118 2119 2120 2121 2122 2123 2124 2125 2126 2127 2128 2129 2130 2131 2132 2133 2134 2135 2136 2137 2138 2139 2140 2141 2142 2143 2144 2145 2146 2147 2148 2149 2150 2151 2152 2153 2154 2155 2156 2157 2158 2159 2160 2161 2162 2163 2164 2165 2166 2167 2168 2169 2170 2171 2172 2173 | <!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>AI Extraction Studio | PWA</title>
<!-- Unified Tailwind CSS -->
<script src="https://cdn.tailwindcss.com"></script>
<!-- Unified Fonts -->
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Montserrat:wght@700;800&family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">
<!-- Icons for Videoflow -->
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/6.4.0/css/all.min.css">
<!-- Shared Libraries -->
<script src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/@vladmandic/face-api@1.7.12/dist/face-api.js"></script>
<!-- React & Babel for Immager -->
<script crossorigin src="https://unpkg.com/react@18/umd/react.production.min.js"></script>
<script crossorigin src="https://unpkg.com/react-dom@18/umd/react-dom.production.min.js"></script>
<script src="https://unpkg.com/@babel/standalone/babel.min.js"></script>
<style>
/* Base Resets */
body { margin: 0; padding: 0; overflow-x: hidden; background-color: #000; }
/* --- Immager Custom CSS --- */
@keyframes spin { 100% { transform: rotate(360deg); } }
.animate-spin { animation: spin 1s linear infinite; }
@keyframes slideIn { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } }
.animate-in { animation: slideIn 0.5s ease-out forwards; }
/* --- Videoflow Custom CSS --- */
.glass-panel { background: rgba(255, 255, 255, 0.03); backdrop-filter: blur(12px); border: 1px solid rgba(255, 255, 255, 0.08); }
.gradient-text { background: linear-gradient(135deg, #818cf8 0%, #c084fc 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; }
.status-dot { width: 8px; height: 8px; border-radius: 50%; display: inline-block; }
#results-container::-webkit-scrollbar { width: 5px; }
#results-container::-webkit-scrollbar-track { background: transparent; }
#results-container::-webkit-scrollbar-thumb { background: #334155; border-radius: 10px; }
.scan-line { position: absolute; top: 0; left: 0; width: 100%; height: 2px; background: #818cf8; box-shadow: 0 0 15px #818cf8; animation: scan 2s linear infinite; display: none; z-index: 10; }
@keyframes scan { 0% { top: 0%; } 100% { top: 100%; } }
.toggle-checkbox:checked { right: 0; border-color: #6366f1; }
.toggle-checkbox:checked + .toggle-label { background-color: #6366f1; }
.toggle-checkbox { right: 4px; z-index: 1; border-color: #e2e8f0; transition: all 0.3s; }
.toggle-label { background-color: #cbd5e1; transition: all 0.3s; }
</style>
</head>
<body>
<!-- ========================================== -->
<!-- GLOBAL UI: APP SWITCHER -->
<!-- ========================================== -->
<div class="fixed bottom-6 left-1/2 transform -translate-x-1/2 z-[9999] bg-black/60 backdrop-blur-xl border border-white/10 p-1.5 rounded-full flex gap-1 shadow-[0_0_30px_rgba(0,0,0,0.8)]">
<button onclick="switchApp('immager')" id="tab-immager" class="px-5 py-2.5 rounded-full text-sm font-semibold transition-all duration-300 bg-indigo-600 text-white shadow-lg flex items-center gap-2">
<svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><rect width="18" height="18" x="3" y="3" rx="2" ry="2"/><circle cx="9" cy="9" r="2"/><path d="m21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21"/></svg>
Immager (Images)
</button>
<button onclick="switchApp('videoflow')" id="tab-videoflow" class="px-5 py-2.5 rounded-full text-sm font-semibold transition-all duration-300 text-white/60 hover:text-white hover:bg-white/10 flex items-center gap-2">
<i class="fas fa-video"></i>
HumanFrame (Video)
</button>
<button onclick="switchApp('urlfetcher')" id="tab-urlfetcher" class="px-5 py-2.5 rounded-full text-sm font-semibold transition-all duration-300 text-white/60 hover:text-white hover:bg-white/10 flex items-center gap-2">
<i class="fas fa-link"></i>
URL Loader
</button>
</div>
<!-- ========================================== -->
<!-- APP 1: IMMAGER (REACT) -->
<!-- ========================================== -->
<div id="app-immager" class="w-full min-h-screen bg-neutral-950 text-neutral-100 font-sans selection:bg-indigo-500/30">
<div id="root"></div>
</div>
<!-- ========================================== -->
<!-- APP 2: VIDEOFLOW (VANILLA JS) -->
<!-- ========================================== -->
<div id="app-videoflow" class="w-full min-h-screen bg-[#0f172a] text-slate-200 selection:bg-indigo-500/30 hidden relative" style="font-family: 'Inter', sans-serif;">
<!-- Navbar -->
<nav class="border-b border-white/5 bg-[#0f172a]/80 backdrop-blur-md sticky top-0 z-50">
<div class="max-w-7xl mx-auto px-6 h-16 flex items-center justify-between">
<div class="flex items-center gap-3">
<div class="w-10 h-10 bg-indigo-600 rounded-xl flex items-center justify-center shadow-lg shadow-indigo-500/20">
<i class="fas fa-user-check text-white text-lg"></i>
</div>
<h1 class="text-xl font-bold tracking-tight">HumanFrame<span class="gradient-text">AI</span></h1>
</div>
<div class="flex gap-3">
<div id="model-badge" class="flex items-center gap-2 bg-slate-800/50 px-3 py-1.5 rounded-full border border-white/5 text-xs font-medium text-slate-400">
<span class="status-dot bg-amber-500 animate-pulse"></span> MediaPipe Loading...
</div>
<div id="face-badge" class="flex items-center gap-2 bg-slate-800/50 px-3 py-1.5 rounded-full border border-white/5 text-xs font-medium text-slate-400 hidden">
<span class="status-dot bg-amber-500 animate-pulse"></span> FaceAPI Loading...
</div>
</div>
</div>
</nav>
<main class="max-w-7xl mx-auto px-6 py-10 pb-24">
<div class="grid grid-cols-1 lg:grid-cols-12 gap-8">
<!-- Left Panel: Configuration -->
<div class="lg:col-span-4 space-y-6">
<!-- Upload Zone -->
<div id="drop-zone" class="glass-panel rounded-2xl p-8 text-center border-2 border-dashed border-indigo-500/20 hover:border-indigo-500/50 transition-all cursor-pointer group relative overflow-hidden">
<input type="file" id="video-input" class="hidden" accept="video/*">
<div class="relative z-10">
<div class="w-14 h-14 bg-indigo-500/10 rounded-2xl flex items-center justify-center mx-auto mb-3 group-hover:scale-110 transition-transform duration-300">
<i class="fas fa-video text-indigo-400 text-xl"></i>
</div>
<h3 class="text-md font-semibold text-white mb-1">Upload Video</h3>
<p class="text-xs text-slate-400">Drag & drop or click to browse</p>
</div>
</div>
<!-- Settings & Advanced -->
<div id="settings-panel" class="glass-panel rounded-2xl p-6 space-y-6 opacity-40 pointer-events-none transition-all">
<!-- Basic Engine -->
<div class="space-y-4">
<div class="flex items-center justify-between border-b border-white/5 pb-2">
<h4 class="font-bold text-white text-xs uppercase tracking-wider">Engine Settings</h4>
</div>
<div class="space-y-2">
<label class="text-xs font-semibold text-slate-400 flex justify-between">
Scan Interval
<span id="interval-val" class="text-indigo-400">0.5s</span>
</label>
<input type="range" id="scan-rate" min="0.1" max="2.0" step="0.1" value="0.5" class="w-full h-1.5 bg-slate-700 rounded-lg appearance-none cursor-pointer accent-indigo-500">
</div>
<div class="space-y-2">
<label class="text-xs font-semibold text-slate-400 flex justify-between">
Detection Confidence
<span id="conf-val" class="text-indigo-400">50%</span>
</label>
<input type="range" id="confidence" min="0.3" max="0.9" step="0.05" value="0.5" class="w-full h-1.5 bg-slate-700 rounded-lg appearance-none cursor-pointer accent-indigo-500">
</div>
</div>
<!-- Advanced Features -->
<div class="space-y-4">
<div class="flex items-center justify-between border-b border-white/5 pb-2">
<h4 class="font-bold text-white text-xs uppercase tracking-wider text-purple-400">Advanced Extraction</h4>
</div>
<!-- Extract All Frames Toggle -->
<div class="flex items-center justify-between mb-4 border-b border-white/5 pb-4">
<div class="flex flex-col">
<span class="text-sm font-medium text-slate-200">Extract Full Frames</span>
<span class="text-[10px] text-slate-500">Extracts entire frames, skipping AI filters</span>
</div>
<div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
<input type="checkbox" name="toggle" id="extract-all-toggle" class="toggle-checkbox absolute block w-5 h-5 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
<label for="extract-all-toggle" class="toggle-label block overflow-hidden h-5 rounded-full bg-slate-600 cursor-pointer"></label>
</div>
</div>
<div id="advanced-filters-container" class="space-y-4 transition-all duration-300">
<!-- Smart Body Crop Toggle -->
<div class="flex items-center justify-between">
<div class="flex flex-col">
<span class="text-sm font-medium text-slate-200">Smart Body Crop</span>
<span class="text-[10px] text-slate-500">Extracts the person bounding box</span>
</div>
<div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
<input type="checkbox" name="toggle" id="auto-crop-toggle" class="toggle-checkbox absolute block w-5 h-5 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
<label for="auto-crop-toggle" class="toggle-label block overflow-hidden h-5 rounded-full bg-slate-600 cursor-pointer"></label>
</div>
</div>
<!-- 512x512 Face Crop Toggle -->
<div class="flex items-center justify-between">
<div class="flex flex-col">
<span class="text-sm font-medium text-slate-200">Tight Face Crop (512px)</span>
<span class="text-[10px] text-slate-500">Extracts faces specifically in 512x512</span>
</div>
<div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
<input type="checkbox" name="toggle" id="face-crop-toggle" class="toggle-checkbox absolute block w-5 h-5 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
<label for="face-crop-toggle" class="toggle-label block overflow-hidden h-5 rounded-full bg-slate-600 cursor-pointer"></label>
</div>
</div>
<!-- Require Visible Face Toggle -->
<div class="flex items-center justify-between">
<div class="flex flex-col">
<span class="text-sm font-medium text-slate-200">Require Visible Face</span>
<span class="text-[10px] text-slate-500">Skip frames with bodies but no faces</span>
</div>
<div class="relative inline-block w-10 mr-2 align-middle select-none transition duration-200 ease-in">
<input type="checkbox" name="toggle" id="require-face-toggle" class="toggle-checkbox absolute block w-5 h-5 rounded-full bg-white border-4 appearance-none cursor-pointer"/>
<label for="require-face-toggle" class="toggle-label block overflow-hidden h-5 rounded-full bg-slate-600 cursor-pointer"></label>
</div>
</div>
<!-- Target Face Match -->
<div class="bg-slate-800/40 p-3 rounded-xl border border-white/5">
<div class="flex flex-col mb-2">
<span class="text-sm font-medium text-slate-200">Target Face Match</span>
<span class="text-[10px] text-slate-500">Only extract frames containing these people</span>
</div>
<div id="target-faces-container" class="flex flex-wrap gap-3 mt-3 empty:hidden"></div>
<div class="flex items-center gap-3 mt-3">
<div id="face-upload-btn" class="flex-grow bg-slate-700 hover:bg-slate-600 text-xs text-center py-2 rounded-lg cursor-pointer transition-colors border border-dashed border-slate-500">
<i class="fas fa-camera mr-1"></i> Upload Target Face(s)
</div>
<input type="file" id="face-input" class="hidden" accept="image/*" multiple>
</div>
<p id="face-status-text" class="text-[10px] text-amber-400 mt-2 hidden text-center"><i class="fas fa-spinner animate-spin"></i> Analyzing face(s)...</p>
</div>
</div>
</div>
<button id="start-btn" class="w-full bg-indigo-600 hover:bg-indigo-500 text-white font-bold py-3 rounded-xl shadow-xl shadow-indigo-500/10 transition-all flex items-center justify-center gap-3">
<i class="fas fa-microchip"></i> Start AI Extraction
</button>
</div>
<!-- Monitoring Window -->
<div class="glass-panel rounded-2xl overflow-hidden relative shadow-2xl group border-2 border-[#0f172a]">
<div class="scan-line" id="scanner"></div>
<canvas id="preview-canvas" class="w-full aspect-video bg-black object-contain"></canvas>
<div class="absolute bottom-0 left-0 right-0 p-3 bg-gradient-to-t from-black/80 to-transparent flex items-center justify-between">
<span class="text-[10px] font-bold tracking-widest text-indigo-400 uppercase">Live Monitor</span>
<div id="fps-counter" class="text-[10px] font-mono text-slate-400">-- FPS</div>
</div>
</div>
</div>
<!-- Right Panel: Results Gallery -->
<div class="lg:col-span-8 flex flex-col h-[calc(100vh-160px)] min-h-[600px]">
<div class="glass-panel rounded-3xl flex flex-col h-full overflow-hidden border border-white/10 relative">
<!-- Toolbar -->
<div class="p-6 border-b border-white/5 flex flex-col md:flex-row gap-4 items-start md:items-center justify-between bg-white/[0.02]">
<div>
<h2 class="text-xl font-bold text-white">Detection Gallery</h2>
<p id="stats-text" class="text-sm text-slate-500">System idle. Awaiting video upload.</p>
</div>
<div class="flex flex-wrap gap-2">
<button id="select-all-btn" class="hidden px-4 py-2.5 text-slate-300 hover:text-white text-sm font-medium transition-colors border border-transparent hover:border-white/10 rounded-xl">
Select All
</button>
<button id="export-immager-btn" class="hidden px-5 py-2.5 bg-purple-600 hover:bg-purple-500 text-white text-sm font-bold rounded-xl transition-all flex items-center gap-2 shadow-lg shadow-purple-500/20">
<i class="fas fa-magic"></i> Export All to Immager
</button>
<button id="download-btn" class="hidden px-5 py-2.5 bg-emerald-500 hover:bg-emerald-400 text-white text-sm font-bold rounded-xl transition-all flex items-center gap-2 shadow-lg shadow-emerald-500/20">
<i class="fas fa-file-export"></i> Download All
</button>
</div>
</div>
<!-- Progress Bar -->
<div id="progress-container" class="px-6 py-4 bg-indigo-500/5 hidden border-b border-white/5">
<div class="flex justify-between items-center mb-2">
<span class="text-xs font-bold text-indigo-300 uppercase tracking-tighter" id="status-label">Analyzing Frames...</span>
<span class="text-xs font-mono text-indigo-300" id="progress-percent">0%</span>
</div>
<div class="w-full bg-white/5 h-1.5 rounded-full overflow-hidden">
<div id="progress-bar" class="h-full bg-indigo-500 transition-all duration-300 shadow-[0_0_10px_#6366f1]" style="width: 0%"></div>
</div>
</div>
<!-- Gallery Grid -->
<div id="results-container" class="flex-grow overflow-y-auto p-6 relative">
<div id="results" class="flex flex-wrap gap-4 content-start"></div>
<!-- Placeholder -->
<div id="empty-state" class="absolute inset-0 flex flex-col items-center justify-center opacity-20">
<i class="fas fa-images text-7xl mb-6"></i>
<p class="text-lg font-medium">No frames extracted yet</p>
</div>
</div>
</div>
</div>
</div>
</main>
<video id="hidden-video" class="hidden" muted></video>
<!-- Fullscreen Image Preview Modal -->
<div id="video-preview-modal" class="fixed inset-0 z-[100] bg-black/90 hidden flex items-center justify-center p-4 backdrop-blur-md">
<button id="close-preview" class="absolute top-6 right-6 text-white text-4xl hover:text-indigo-400 transition-colors z-50">
<i class="fas fa-times"></i>
</button>
<img id="preview-modal-img" src="" class="max-w-full max-h-[90vh] object-contain rounded-lg shadow-2xl border border-white/10">
</div>
</div>
<!-- ========================================== -->
<!-- APP 3: URL FETCHER (VANILLA JS) -->
<!-- ========================================== -->
<div id="app-urlfetcher" class="w-full min-h-screen bg-[#0f172a] text-slate-200 hidden relative" style="font-family: 'Inter', sans-serif;">
<!-- Navbar -->
<nav class="border-b border-white/5 bg-[#0f172a]/80 backdrop-blur-md sticky top-0 z-50">
<div class="max-w-7xl mx-auto px-6 h-16 flex items-center justify-between">
<div class="flex items-center gap-3">
<div class="w-10 h-10 bg-teal-600 rounded-xl flex items-center justify-center shadow-lg shadow-teal-500/20">
<i class="fas fa-link text-white text-lg"></i>
</div>
<h1 class="text-xl font-bold tracking-tight">URL<span class="text-teal-400">Fetch</span></h1>
</div>
</div>
</nav>
<main class="max-w-7xl mx-auto px-6 py-10 pb-24">
<div class="grid grid-cols-1 lg:grid-cols-12 gap-8">
<!-- Left Panel -->
<div class="lg:col-span-4 space-y-6">
<div class="glass-panel rounded-2xl p-6 space-y-4 border border-white/10">
<h2 class="text-lg font-bold text-white mb-2">Source URLs</h2>
<div class="space-y-2">
<label class="text-xs font-semibold text-slate-400">Paste links (one per line)</label>
<textarea id="url-input-text" rows="6" class="w-full bg-slate-900 border border-slate-700 rounded-xl p-3 text-sm text-slate-300 focus:outline-none focus:border-teal-500 transition-colors resize-none" placeholder="https://example.com/img1.jpg https://example.com/img2.png"></textarea>
</div>
<div class="relative flex py-2 items-center">
<div class="flex-grow border-t border-slate-700"></div>
<span class="flex-shrink-0 mx-4 text-slate-500 text-xs font-medium uppercase">OR</span>
<div class="flex-grow border-t border-slate-700"></div>
</div>
<div id="url-drop-zone" class="bg-slate-900 border-2 border-dashed border-slate-700 hover:border-teal-500 rounded-xl p-6 text-center transition-colors cursor-pointer group">
<input type="file" id="url-file-input" class="hidden" accept=".txt">
<i class="fas fa-file-alt text-2xl text-slate-500 group-hover:text-teal-400 transition-colors mb-2"></i>
<h3 class="text-sm font-medium text-slate-300">Upload .txt File</h3>
<p class="text-[10px] text-slate-500 mt-1" id="url-file-name">Drag & drop or click</p>
</div>
<button id="url-fetch-btn" class="w-full bg-teal-600 hover:bg-teal-500 text-white font-bold py-3 rounded-xl shadow-xl shadow-teal-500/20 transition-all flex items-center justify-center gap-2 mt-4">
<i class="fas fa-cloud-download-alt"></i> Fetch Images
</button>
</div>
</div>
<!-- Right Panel -->
<div class="lg:col-span-8 flex flex-col h-[calc(100vh-160px)] min-h-[600px]">
<div class="glass-panel rounded-3xl flex flex-col h-full overflow-hidden border border-white/10 relative">
<!-- Toolbar -->
<div class="p-6 border-b border-white/5 flex flex-wrap gap-4 items-center justify-between bg-white/[0.02]">
<div>
<h2 class="text-xl font-bold text-white">Fetched Gallery</h2>
<p id="url-stats-text" class="text-sm text-slate-500">No images loaded yet.</p>
</div>
<div class="flex gap-2">
<button id="url-select-all-btn" class="hidden px-4 py-2 text-slate-300 hover:text-white text-sm font-medium transition-colors border border-transparent hover:border-white/10 rounded-xl">
Select All
</button>
<button id="url-download-btn" class="hidden px-4 py-2 bg-emerald-600 hover:bg-emerald-500 text-white text-sm font-bold rounded-xl transition-all shadow-lg flex items-center gap-2">
<i class="fas fa-file-archive"></i> Download ZIP
</button>
</div>
</div>
<!-- Progress Bar -->
<div id="url-progress-container" class="px-6 py-4 bg-teal-500/5 hidden border-b border-white/5">
<div class="flex justify-between items-center mb-2">
<span class="text-xs font-bold text-teal-300 uppercase tracking-tighter" id="url-status-label">Fetching URLs...</span>
<span class="text-xs font-mono text-teal-300" id="url-progress-percent">0/0</span>
</div>
<div class="w-full bg-white/5 h-1.5 rounded-full overflow-hidden">
<div id="url-progress-bar" class="h-full bg-teal-500 transition-all duration-300" style="width: 0%"></div>
</div>
</div>
<!-- Gallery Grid -->
<div id="url-results-container" class="flex-grow overflow-y-auto p-6 relative">
<div id="url-results" class="flex flex-wrap gap-4 content-start"></div>
<!-- Placeholder -->
<div id="url-empty-state" class="absolute inset-0 flex flex-col items-center justify-center opacity-20">
<i class="fas fa-images text-7xl mb-6"></i>
<p class="text-lg font-medium">Ready to fetch</p>
</div>
</div>
</div>
</div>
</div>
</main>
<!-- Popup Modal for URL App (Not full screen) -->
<div id="url-preview-modal" class="fixed inset-0 z-[100] bg-black/60 hidden flex items-center justify-center p-4 backdrop-blur-sm">
<div class="relative bg-[#0f172a] p-2 rounded-2xl border border-white/10 shadow-2xl max-w-[80vw] max-h-[80vh] flex flex-col">
<div class="flex justify-between items-center px-4 py-2 border-b border-white/5 mb-2">
<span class="text-sm font-medium text-slate-300">Image Preview</span>
<button id="url-close-preview" class="text-slate-400 hover:text-white transition-colors">
<i class="fas fa-times text-xl"></i>
</button>
</div>
<div class="overflow-hidden flex-grow flex items-center justify-center p-2">
<img id="url-preview-modal-img" src="" class="max-w-full max-h-full object-contain rounded-lg">
</div>
</div>
</div>
</div>
<!-- ========================================== -->
<!-- LOGIC: APP SWITCHER -->
<!-- ========================================== -->
<script>
function switchApp(appName) {
const immagerApp = document.getElementById('app-immager');
const videoflowApp = document.getElementById('app-videoflow');
const urlfetcherApp = document.getElementById('app-urlfetcher');
const tabImmager = document.getElementById('tab-immager');
const tabVideoflow = document.getElementById('tab-videoflow');
const tabUrlfetcher = document.getElementById('tab-urlfetcher');
if (appName === 'immager') {
immagerApp.classList.remove('hidden');
videoflowApp.classList.add('hidden');
urlfetcherApp.classList.add('hidden');
tabImmager.classList.replace('bg-transparent', 'bg-indigo-600');
tabImmager.classList.replace('text-white/60', 'text-white');
tabImmager.classList.remove('hover:bg-white/10');
tabVideoflow.classList.replace('bg-indigo-600', 'bg-transparent');
tabVideoflow.classList.replace('text-white', 'text-white/60');
tabVideoflow.classList.add('hover:bg-white/10');
tabUrlfetcher.classList.replace('bg-teal-600', 'bg-transparent');
tabUrlfetcher.classList.replace('text-white', 'text-white/60');
tabUrlfetcher.classList.add('hover:bg-white/10');
window.scrollTo(0,0);
} else if (appName === 'videoflow') {
immagerApp.classList.add('hidden');
videoflowApp.classList.remove('hidden');
urlfetcherApp.classList.add('hidden');
tabVideoflow.classList.replace('bg-transparent', 'bg-indigo-600');
tabVideoflow.classList.replace('text-white/60', 'text-white');
tabVideoflow.classList.remove('hover:bg-white/10');
tabImmager.classList.replace('bg-indigo-600', 'bg-transparent');
tabImmager.classList.replace('text-white', 'text-white/60');
tabImmager.classList.add('hover:bg-white/10');
tabUrlfetcher.classList.replace('bg-teal-600', 'bg-transparent');
tabUrlfetcher.classList.replace('text-white', 'text-white/60');
tabUrlfetcher.classList.add('hover:bg-white/10');
window.scrollTo(0,0);
} else {
immagerApp.classList.add('hidden');
videoflowApp.classList.add('hidden');
urlfetcherApp.classList.remove('hidden');
tabUrlfetcher.classList.replace('bg-transparent', 'bg-teal-600');
tabUrlfetcher.classList.replace('text-white/60', 'text-white');
tabUrlfetcher.classList.remove('hover:bg-white/10');
tabImmager.classList.replace('bg-indigo-600', 'bg-transparent');
tabImmager.classList.replace('text-white', 'text-white/60');
tabImmager.classList.add('hover:bg-white/10');
tabVideoflow.classList.replace('bg-indigo-600', 'bg-transparent');
tabVideoflow.classList.replace('text-white', 'text-white/60');
tabVideoflow.classList.add('hover:bg-white/10');
window.scrollTo(0,0);
}
}
</script>
<!-- ========================================== -->
<!-- LOGIC: APP 1 (IMMAGER - REACT) -->
<!-- ========================================== -->
<script type="text/babel">
const { useState, useEffect, useCallback, useRef } = React;
const LogoIcon = ({size=24, className=""}) => (
<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 512 512" className={className}>
<rect width="512" height="512" rx="120" fill="#12C369"/>
<circle cx="380" cy="130" r="55" fill="#ffffff"/>
<path d="M310 280 L440 430 L180 430 Z" fill="#91E6B3" stroke="#91E6B3" strokeWidth="30" strokeLinejoin="round"/>
<path d="M220 220 L340 430 L100 430 Z" fill="#ffffff" stroke="#ffffff" strokeWidth="40" strokeLinejoin="round"/>
</svg>
);
const UsersIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M16 21v-2a4 4 0 0 0-4-4H6a4 4 0 0 0-4 4v2"/><circle cx="9" cy="7" r="4"/><path d="M22 21v-2a4 4 0 0 0-3-3.87"/><path d="M16 3.13a4 4 0 0 1 0 7.75"/></svg>);
const Trash2Icon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M3 6h18"/><path d="M19 6v14c0 1-1 2-2 2H7c-1 0-2-1-2-2V6"/><path d="M8 6V4c0-1 1-2 2-2h4c1 0 2 1 2 2v2"/><line x1="10" x2="10" y1="11" y2="17"/><line x1="14" x2="14" y1="11" y2="17"/></svg>);
const UploadCloudIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M4 14.899A7 7 0 1 1 15.71 8h1.79a4.5 4.5 0 0 1 2.5 8.242"/><path d="M12 12v9"/><path d="m16 16-4-4-4 4"/></svg>);
const Loader2Icon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M21 12a9 9 0 1 1-6.219-8.56"/></svg>);
const CheckCircleIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M22 11.08V12a10 10 0 1 1-5.93-9.14"/><path d="m9 11 3 3L22 4"/></svg>);
const ImageIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><rect width="18" height="18" x="3" y="3" rx="2" ry="2"/><circle cx="9" cy="9" r="2"/><path d="m21 15-3.086-3.086a2 2 0 0 0-2.828 0L6 21"/></svg>);
const CheckSquareIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><polyline points="9 11 12 14 22 4"/><path d="M21 12v7a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V5a2 2 0 0 1 2-2h11"/></svg>);
const SquareIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><rect width="18" height="18" x="3" y="3" rx="2" ry="2"/></svg>);
const DownloadIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/><polyline points="7 10 12 15 17 10"/><line x1="12" x2="12" y1="15" y2="3"/></svg>);
const SettingsIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M12.22 2h-.44a2 2 0 0 0-2 2v.18a2 2 0 0 1-1 1.73l-.43.25a2 2 0 0 1-2 0l-.15-.08a2 2 0 0 0-2.73.73l-.22.38a2 2 0 0 0 .73 2.73l.15.1a2 2 0 0 1 1 1.72v.51a2 2 0 0 1-1 1.74l-.15.09a2 2 0 0 0-.73 2.73l.22.38a2 2 0 0 0 2.73.73l.15-.08a2 2 0 0 1 2 0l.43.25a2 2 0 0 1 1-1.73V20a2 2 0 0 0 2 2h.44a2 2 0 0 0 2-2v-.18a2 2 0 0 1 1-1.73l.43-.25a2 2 0 0 1 2 0l.15.08a2 2 0 0 0 2.73-.73l.22-.39a2 2 0 0 0-.73-2.73l-.15-.08a2 2 0 0 1-1-1.74v-.5a2 2 0 0 1 1-1.74l.15-.09a2 2 0 0 0 .73-2.73l-.22-.38a2 2 0 0 0-2.73-.73l-.15.08a2 2 0 0 1-2 0l-.43-.25a2 2 0 0 1-1-1.73V4a2 2 0 0 0-2-2z"/><circle cx="12" cy="12" r="3"/></svg>);
const EditIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><path d="M12 20h9"/><path d="M16.5 3.5a2.12 2.12 0 0 1 3 3L7 19l-4 1 1-4Z"/></svg>);
const XIcon = ({size=24, className=""}) => (<svg xmlns="http://www.w3.org/2000/svg" width={size} height={size} viewBox="0 0 24 24" fill="none" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" className={className}><line x1="18" y1="6" x2="6" y2="18"/><line x1="6" y1="6" x2="18" y2="18"/></svg>);
function FaceExtractApp() {
const [isModelLoading, setIsModelLoading] = useState(true);
const [isProcessing, setIsProcessing] = useState(false);
const [progress, setProgress] = useState(0);
const [statusText, setStatusText] = useState('Initializing Engine...');
const [faceGroups, setFaceGroups] = useState([]);
const [selectedFaceIds, setSelectedFaceIds] = useState(new Set());
const fileInputRef = useRef(null);
const [extractedFaces, setExtractedFaces] = useState([]);
const [matchThreshold, setMatchThreshold] = useState(0.50);
const [cropSettings, setCropSettings] = useState({ padding: 0.05, topPadding: 0.2, shape: 'square' });
const [showSettings, setShowSettings] = useState(false);
const [editingFace, setEditingFace] = useState(null);
const editorImgRef = useRef(null);
const [dragState, setDragState] = useState({ isDragging: false, startX: 0, startY: 0, initialOffsetX: 0, initialOffsetY: 0 });
const [dragOverGroupId, setDragOverGroupId] = useState(null);
const [isDraggingFace, setIsDraggingFace] = useState(false);
const draggedFaceRef = useRef(null);
const [pendingTransferFiles, setPendingTransferFiles] = useState(null);
// Listen for cross-app transfer event
useEffect(() => {
const handleTransfer = (e) => {
setPendingTransferFiles(e.detail);
};
window.addEventListener('SEND_TO_IMMAGER', handleTransfer);
return () => window.removeEventListener('SEND_TO_IMMAGER', handleTransfer);
}, []);
// Initialize models
useEffect(() => {
const initModels = async () => {
while(!window.faceapi || !window.JSZip) {
await new Promise(r => setTimeout(r, 100));
}
try {
setStatusText("Loading AI Models (~5MB)...");
const MODEL_URL = 'https://cdn.jsdelivr.net/npm/@vladmandic/face-api@1.7.12/model/';
await window.faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL);
await window.faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL);
await window.faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL);
setIsModelLoading(false);
setStatusText("Ready");
} catch (error) {
console.error(error);
setStatusText("Error loading AI models.");
}
};
initModels();
}, []);
// Trigger processing of transferred files once models load
useEffect(() => {
if (pendingTransferFiles && pendingTransferFiles.length > 0 && !isModelLoading && !isProcessing) {
processImages(pendingTransferFiles);
setPendingTransferFiles(null);
}
}, [pendingTransferFiles, isModelLoading, isProcessing]);
const generateCrop = (img, box, settings, manualOffsets = { x: 0, y: 0, zoom: 1, resolution: 'auto' }) => {
const canvas = document.createElement('canvas');
const ctx = canvas.getContext('2d');
let padX = box.width * settings.padding;
let padY = box.height * settings.padding;
let tw = box.width + (padX * 2);
let th = box.height + padY + (box.height * settings.topPadding);
if (settings.shape === 'square') {
const size = Math.max(tw, th);
tw = size;
th = size;
}
tw /= manualOffsets.zoom;
th /= manualOffsets.zoom;
let cx = box.x + box.width / 2;
let cy = box.y + box.height / 2 - (box.height * settings.topPadding / 2) + (padY / 2);
cx += manualOffsets.x;
cy += manualOffsets.y;
const cropX = Math.max(0, cx - tw / 2);
const cropY = Math.max(0, cy - th / 2);
const cropW = Math.min(img.width - cropX, tw);
const cropH = Math.min(img.height - cropY, th);
let targetW = cropW;
let targetH = cropH;
if (manualOffsets.resolution && manualOffsets.resolution !== 'auto') {
const res = parseInt(manualOffsets.resolution, 10);
targetW = res;
targetH = settings.shape === 'original' ? Math.round(res * (cropH / cropW)) : res;
}
canvas.width = targetW;
canvas.height = targetH;
ctx.drawImage(img, cropX, cropY, cropW, cropH, 0, 0, targetW, targetH);
return canvas.toDataURL('image/jpeg', 0.9);
};
const openEditor = async (face, groupIndex, faceIndex) => {
const img = new Image();
img.src = face.sourceUrl;
await new Promise(r => img.onload = r);
editorImgRef.current = img;
setEditingFace({
...face,
groupIndex,
faceIndex,
manualOffsets: face.manualOffsets || { x: 0, y: 0, zoom: 1, resolution: 'auto' },
previewUrl: face.cropDataUrl
});
setDragState({ isDragging: false, startX: 0, startY: 0, initialOffsetX: 0, initialOffsetY: 0 });
};
const updateManualCrop = (updates) => {
if (!editingFace || !editorImgRef.current) return;
const newOffsets = { ...editingFace.manualOffsets, ...updates };
const newPreview = generateCrop(editorImgRef.current, editingFace.originalBox, cropSettings, newOffsets);
setEditingFace(prev => ({ ...prev, manualOffsets: newOffsets, previewUrl: newPreview }));
};
const saveManualCrop = () => {
const newGroups = [...faceGroups];
newGroups[editingFace.groupIndex].faces[editingFace.faceIndex].cropDataUrl = editingFace.previewUrl;
newGroups[editingFace.groupIndex].faces[editingFace.faceIndex].manualOffsets = editingFace.manualOffsets;
setFaceGroups(newGroups);
setEditingFace(null);
};
const updateGroupName = (groupId, newName) => {
setFaceGroups(prevGroups => prevGroups.map(g => g.id === groupId ? { ...g, name: newName } : g));
};
const handleDragStart = (e, faceId, sourceGroupId) => {
let dragItems = [];
// If the dragged face is selected, bundle all selected faces
if (selectedFaceIds.has(faceId)) {
faceGroups.forEach(g => {
g.faces.forEach(f => {
if (selectedFaceIds.has(f.id)) {
dragItems.push({ faceId: f.id, sourceGroupId: g.id });
}
});
});
} else {
// Otherwise, just drag this specific single face
dragItems = [{ faceId, sourceGroupId }];
}
// --- Custom Drag Image for Multiple Items ---
if (dragItems.length > 1) {
const dragGhost = document.createElement('div');
dragGhost.id = 'drag-ghost-container';
dragGhost.style.position = 'absolute';
dragGhost.style.top = '-1000px';
dragGhost.style.left = '-1000px';
dragGhost.style.width = '80px';
dragGhost.style.height = '80px';
// Get URLs for the first 3 faces to create a stack
const previewFaces = dragItems.slice(0, 3).map(item => {
let url = '';
faceGroups.forEach(g => {
const f = g.faces.find(face => face.id === item.faceId);
if (f) url = f.cropDataUrl;
});
return url;
});
// Reverse to render the bottom-most image first, top-most last
previewFaces.reverse().forEach((url, i) => {
if (url) {
const img = document.createElement('img');
img.src = url;
img.style.position = 'absolute';
img.style.width = '60px';
img.style.height = '60px';
img.style.borderRadius = '12px';
img.style.objectFit = 'cover';
img.style.border = '2px solid white';
img.style.boxShadow = '0 4px 6px rgba(0,0,0,0.3)';
img.style.top = `${(2 - i) * 6}px`;
img.style.left = `${(2 - i) * 6}px`;
img.style.zIndex = i;
dragGhost.appendChild(img);
}
});
// Add the count badge
const badge = document.createElement('div');
badge.style.position = 'absolute';
badge.style.bottom = '0';
badge.style.right = '0';
badge.style.background = '#4f46e5';
badge.style.color = 'white';
badge.style.borderRadius = '999px';
badge.style.padding = '2px 8px';
badge.style.fontSize = '12px';
badge.style.fontWeight = 'bold';
badge.style.zIndex = '10';
badge.style.border = '2px solid white';
badge.style.boxShadow = '0 2px 4px rgba(0,0,0,0.2)';
badge.innerText = dragItems.length;
dragGhost.appendChild(badge);
document.body.appendChild(dragGhost);
e.dataTransfer.setDragImage(dragGhost, 40, 40);
setTimeout(() => {
if (dragGhost.parentNode) dragGhost.parentNode.removeChild(dragGhost);
}, 50);
}
draggedFaceRef.current = dragItems;
e.dataTransfer.effectAllowed = 'move';
e.dataTransfer.setData('text/plain', dragItems.map(i => i.faceId).join(','));
setTimeout(() => { setIsDraggingFace(true); }, 0);
};
const handleDragEnd = (e) => {
setIsDraggingFace(false);
setDragOverGroupId(null);
draggedFaceRef.current = null;
};
const handleDragOver = (e, targetGroupId) => {
e.preventDefault();
e.dataTransfer.dropEffect = 'move';
if (dragOverGroupId !== targetGroupId) setDragOverGroupId(targetGroupId);
};
const handleDragLeave = (e) => { e.preventDefault(); };
const handleDrop = (e, targetGroupId) => {
e.preventDefault();
setIsDraggingFace(false);
setDragOverGroupId(null);
const dragItems = draggedFaceRef.current;
if (!dragItems || dragItems.length === 0) return;
// If dragging a single item to the exact same group, do nothing to prevent flicker
if (dragItems.length === 1 && dragItems[0].sourceGroupId === targetGroupId) return;
setTimeout(() => {
setFaceGroups(prevGroups => {
let movedFaces = [];
// 1. Remove all bundled faces from their respective source groups
let updatedGroups = prevGroups.map(group => {
const itemsToRemove = new Set(dragItems.filter(item => item.sourceGroupId === group.id).map(i => i.faceId));
if (itemsToRemove.size > 0) {
const extracted = group.faces.filter(f => itemsToRemove.has(f.id));
movedFaces.push(...extracted);
return { ...group, faces: group.faces.filter(f => !itemsToRemove.has(f.id)) };
}
return group;
});
if (movedFaces.length === 0) return prevGroups;
// 2. Add all bundled faces into the target group
if (targetGroupId === 'new-group') {
updatedGroups.unshift({
id: `group-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
name: '',
baseDescriptor: movedFaces[0].descriptor,
faces: movedFaces
});
} else {
updatedGroups = updatedGroups.map(group => {
if (group.id === targetGroupId) return { ...group, faces: [...group.faces, ...movedFaces] };
return group;
});
}
// 3. Clean up any empty groups
return updatedGroups.filter(g => g.faces.length > 0);
});
// Clear selection after a successful multi-drag
setSelectedFaceIds(new Set());
}, 0);
};
const applyGlobalCropSettings = async (newSettings) => {
setCropSettings(newSettings);
if (extractedFaces.length === 0) return;
setIsProcessing(true);
setStatusText("Applying new crop settings...");
await new Promise(resolve => setTimeout(resolve, 50));
try {
const imageCache = {};
const updatedFaces = [];
for (let i = 0; i < extractedFaces.length; i++) {
const face = extractedFaces[i];
let img = imageCache[face.sourceUrl];
if (!img) {
img = new Image();
img.src = face.sourceUrl;
await new Promise(r => img.onload = r);
imageCache[face.sourceUrl] = img;
}
const newCropDataUrl = generateCrop(img, face.originalBox, newSettings, face.manualOffsets || { x: 0, y: 0, zoom: 1, resolution: 'auto' });
updatedFaces.push({ ...face, cropDataUrl: newCropDataUrl });
}
setExtractedFaces(updatedFaces);
setFaceGroups(prevGroups => prevGroups.map(group => ({
...group,
faces: group.faces.map(gFace => {
const updatedFace = updatedFaces.find(uf => uf.id === gFace.id);
return updatedFace ? { ...gFace, cropDataUrl: updatedFace.cropDataUrl } : gFace;
})
})));
} catch (error) {
console.error("Error applying crop settings:", error);
} finally {
setIsProcessing(false);
setStatusText("Done");
}
};
const clusterFaces = useCallback((facesToCluster, threshold) => {
const groups = [];
facesToCluster.forEach(face => {
let foundGroup = false;
for (let group of groups) {
const distance = window.faceapi.euclideanDistance(group.baseDescriptor, face.descriptor);
if (distance < threshold) {
group.faces.push(face);
foundGroup = true;
break;
}
}
if (!foundGroup) {
groups.push({
id: `group-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
name: '',
baseDescriptor: face.descriptor,
faces: [face]
});
}
});
groups.sort((a, b) => b.faces.length - a.faces.length);
setFaceGroups(groups);
}, []);
const processImages = async (files) => {
if (!files || files.length === 0) return;
setIsProcessing(true);
// Append rather than replace if adding from VideoFlow while groups exist
const startingFaces = faceGroups.length > 0 ? extractedFaces : [];
const allExtractedFaces = [...startingFaces];
for (let i = 0; i < files.length; i++) {
const file = files[i];
if (!file.type.startsWith('image/')) continue;
setStatusText(`Scanning image ${i + 1} of ${files.length}...`);
setProgress(((i) / files.length) * 100);
try {
const img = await new Promise((resolve, reject) => {
const reader = new FileReader();
reader.onload = (e) => {
const image = new Image();
image.src = e.target.result;
image.onload = () => resolve(image);
image.onerror = reject;
};
reader.onerror = reject;
reader.readAsDataURL(file);
});
const detections = await window.faceapi.detectAllFaces(img)
.withFaceLandmarks()
.withFaceDescriptors();
const sourceUrl = URL.createObjectURL(file);
detections.forEach((det, idx) => {
const cropDataUrl = generateCrop(img, det.detection.box, cropSettings);
allExtractedFaces.push({
id: `face-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`,
sourceFile: file.name,
sourceUrl: sourceUrl,
originalBox: det.detection.box,
cropDataUrl,
descriptor: det.descriptor
});
});
} catch (err) { console.error(`Error processing ${file.name}`, err); }
}
setStatusText("Organizing faces by person...");
setExtractedFaces(allExtractedFaces);
clusterFaces(allExtractedFaces, matchThreshold);
setIsProcessing(false);
setProgress(100);
setStatusText("Done");
};
const onDrop = useCallback((e) => {
e.preventDefault();
if (isModelLoading || isProcessing) return;
const files = Array.from(e.dataTransfer.files);
processImages(files);
}, [isModelLoading, isProcessing]);
const onFileChange = (e) => {
if (e.target.files && e.target.files.length > 0) processImages(Array.from(e.target.files));
};
const toggleFace = (id) => {
const next = new Set(selectedFaceIds);
next.has(id) ? next.delete(id) : next.add(id);
setSelectedFaceIds(next);
};
const toggleGroup = (group) => {
const next = new Set(selectedFaceIds);
const allSelected = group.faces.every(f => next.has(f.id));
group.faces.forEach(f => allSelected ? next.delete(f.id) : next.add(f.id));
setSelectedFaceIds(next);
};
const clearAll = () => {
setFaceGroups([]); setExtractedFaces([]); setSelectedFaceIds(new Set()); setProgress(0);
};
const downloadSelected = async () => {
if (selectedFaceIds.size === 0) return;
setIsProcessing(true);
setStatusText("Generating ZIP archive...");
try {
const zip = new window.JSZip();
let totalExported = 0;
faceGroups.forEach((group, gIndex) => {
const hasName = group.name && group.name.trim() !== '';
const folderName = hasName ? group.name.trim() : `Person_${gIndex + 1}`;
const filePrefix = hasName ? group.name.replace(/[^a-z0-9]/gi, '').toLowerCase() : 'face';
const selectedInGroup = group.faces.filter(f => selectedFaceIds.has(f.id));
if (selectedInGroup.length > 0) {
const folder = zip.folder(folderName);
selectedInGroup.forEach((face, fIndex) => {
const base64Data = face.cropDataUrl.split(',')[1];
const fileName = hasName ? `${filePrefix}${fIndex + 1}.jpg` : `face_${fIndex + 1}.jpg`;
folder.file(fileName, base64Data, {base64: true});
totalExported++;
});
}
});
const content = await zip.generateAsync({type: "blob"});
const url = URL.createObjectURL(content);
const a = document.createElement("a");
a.href = url;
a.download = `Extracted_Faces_${totalExported}.zip`;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
URL.revokeObjectURL(url);
} catch (e) {
console.error("ZIP Generation Failed", e);
alert("Failed to generate ZIP file.");
} finally {
setIsProcessing(false);
setStatusText("Ready");
}
};
const downloadSingleFace = (e, face, group, fIndex) => {
e.stopPropagation();
const hasName = group.name && group.name.trim() !== '';
const filePrefix = hasName ? group.name.replace(/[^a-z0-9]/gi, '').toLowerCase() : 'face';
const fileName = hasName ? `${filePrefix}${fIndex + 1}.jpg` : `face_${fIndex + 1}.jpg`;
const a = document.createElement("a");
a.href = face.cropDataUrl;
a.download = fileName;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
};
return (
<div className="min-h-screen font-sans">
<header className="sticky top-0 z-30 bg-neutral-950/80 backdrop-blur-md border-b border-neutral-800 px-6 py-4 flex items-center justify-between">
<div className="flex items-center gap-4">
<LogoIcon size={42} className="shadow-lg drop-shadow-md" />
<div className="flex flex-col">
<h1 className="text-2xl font-extrabold tracking-[0.2em] text-white uppercase" style={{ fontFamily: "'Montserrat', sans-serif" }}>immager</h1>
<p className="text-[10px] sm:text-xs text-neutral-400 tracking-wider uppercase mt-0.5">crop faces easily in bulk</p>
</div>
</div>
<div className="flex items-center gap-4">
<button onClick={() => setShowSettings(true)} className="text-sm flex items-center gap-2 text-neutral-400 hover:text-white transition-colors">
<SettingsIcon size={16} /> Crop Settings
</button>
{faceGroups.length > 0 && (
<button onClick={clearAll} className="text-sm flex items-center gap-2 text-neutral-400 hover:text-white transition-colors">
<Trash2Icon size={16} /> Start Over
</button>
)}
</div>
</header>
<main className="max-w-7xl mx-auto p-6 pb-32">
{faceGroups.length === 0 && (
<div className="mt-12">
<div
onDragOver={(e) => e.preventDefault()}
onDrop={onDrop}
onClick={() => !isModelLoading && !isProcessing && fileInputRef.current.click()}
className={`
relative w-full max-w-2xl mx-auto flex flex-col items-center justify-center p-16
border-2 border-dashed rounded-3xl transition-all duration-200
${isModelLoading || isProcessing
? 'border-neutral-800 bg-neutral-900/30 cursor-not-allowed'
: 'border-neutral-700 bg-neutral-900/50 hover:bg-neutral-800 hover:border-indigo-500 cursor-pointer'}
`}
>
<input type="file" multiple accept="image/*" ref={fileInputRef} onChange={onFileChange} className="hidden" />
{(isModelLoading || isProcessing) ? (
<div className="flex flex-col items-center text-center">
<Loader2Icon size={48} className="text-indigo-500 animate-spin mb-6" />
<h3 className="text-xl font-medium text-white mb-2">{statusText}</h3>
{isProcessing && progress > 0 && (
<div className="w-full max-w-xs bg-neutral-800 rounded-full h-2 mt-4 overflow-hidden">
<div className="bg-indigo-500 h-2 rounded-full transition-all duration-300 ease-out" style={{ width: `${progress}%` }} />
</div>
)}
</div>
) : (
<div className="flex flex-col items-center text-center">
<div className="bg-neutral-800 p-4 rounded-2xl mb-6 shadow-inner">
<UploadCloudIcon size={40} className="text-indigo-400" />
</div>
<h3 className="text-2xl font-medium text-white mb-3">Upload Images</h3>
<p className="text-neutral-400 max-w-sm mb-6">Drag and drop your photos here, or click to browse. We'll find and group the faces.</p>
<button className="bg-white text-black px-6 py-2.5 rounded-full font-medium hover:bg-neutral-200 transition-colors">Select Images</button>
</div>
)}
</div>
{!isModelLoading && !isProcessing && (
<div className="grid grid-cols-1 md:grid-cols-3 gap-6 max-w-4xl mx-auto mt-16 text-center">
<div className="bg-neutral-900/30 p-6 rounded-2xl border border-neutral-800/50">
<UsersIcon size={24} className="mx-auto text-indigo-400 mb-4" />
<h4 className="font-medium text-white mb-2">Smart Clustering</h4>
<p className="text-sm text-neutral-400">Groups faces of the same person together automatically.</p>
</div>
<div className="bg-neutral-900/30 p-6 rounded-2xl border border-neutral-800/50">
<ImageIcon size={24} className="mx-auto text-emerald-400 mb-4" />
<h4 className="font-medium text-white mb-2">Auto-Cropping</h4>
<p className="text-sm text-neutral-400">Extracts perfectly framed headshots ready for use.</p>
</div>
<div className="bg-neutral-900/30 p-6 rounded-2xl border border-neutral-800/50">
<CheckCircleIcon size={24} className="mx-auto text-amber-400 mb-4" />
<h4 className="font-medium text-white mb-2">100% Private</h4>
<p className="text-sm text-neutral-400">Everything runs entirely inside your browser. No server uploads.</p>
</div>
</div>
)}
</div>
)}
{faceGroups.length > 0 && (
<div className="animate-in">
{isDraggingFace && (
<div
className={`fixed top-24 left-1/2 -translate-x-1/2 z-50 w-full max-w-sm border-2 border-dashed rounded-2xl flex flex-col items-center justify-center p-6 shadow-2xl backdrop-blur-md transition-all ${dragOverGroupId === 'new-group' ? 'border-indigo-400 bg-indigo-500/30 scale-105' : 'border-neutral-500 bg-neutral-900/80 scale-100'}`}
onDragOver={(e) => handleDragOver(e, 'new-group')}
onDragLeave={handleDragLeave}
onDrop={(e) => handleDrop(e, 'new-group')}
>
<UsersIcon size={32} className="text-white mb-2" />
<p className="text-white font-medium text-center">Drop here to create a new person</p>
</div>
)}
<div className="flex flex-col md:flex-row md:items-center justify-between gap-4 mb-8">
<div>
<h2 className="text-2xl font-semibold tracking-tight">Found {faceGroups.length} People</h2>
<div className="text-sm text-neutral-400 mt-1">Total unique faces: {faceGroups.reduce((acc, curr) => acc + curr.faces.length, 0)}</div>
</div>
<div className="flex flex-col items-end gap-1 bg-neutral-900/80 p-3 rounded-xl border border-neutral-800 shadow-inner">
<label className="text-sm text-neutral-300 font-medium flex justify-between w-full">
<span>Grouping Tolerance</span>
<span className="text-indigo-400 font-bold">{matchThreshold.toFixed(2)}</span>
</label>
<input type="range" min="0.30" max="0.70" step="0.01" value={matchThreshold} onChange={(e) => { const val = parseFloat(e.target.value); setMatchThreshold(val); clusterFaces(extractedFaces, val); }} className="w-48 md:w-64 accent-indigo-500 cursor-pointer" title="Lower = stricter matching. Higher = looser matching." />
<span className="text-xs text-neutral-500">Slide right to merge similar people</span>
</div>
</div>
<div className="columns-1 md:columns-2 lg:columns-3 xl:columns-4 gap-6 space-y-6">
{faceGroups.map((group, groupIndex) => {
const allSelected = group.faces.every(f => selectedFaceIds.has(f.id));
const someSelected = !allSelected && group.faces.some(f => selectedFaceIds.has(f.id));
return (
<div key={group.id} className={`break-inside-avoid bg-neutral-900 rounded-2xl border transition-colors overflow-hidden group ${dragOverGroupId === group.id ? 'border-indigo-500 shadow-[0_0_15px_rgba(99,102,241,0.3)]' : 'border-neutral-800'}`} onDragOver={(e) => handleDragOver(e, group.id)} onDragLeave={handleDragLeave} onDrop={(e) => handleDrop(e, group.id)}>
<div className="px-5 py-4 flex items-center justify-between border-b border-neutral-800/50 bg-neutral-900/80">
<div className="flex items-center gap-3">
<div className="w-8 h-8 rounded-full overflow-hidden border border-neutral-700">
<img src={group.faces[0].cropDataUrl} className="w-full h-full object-cover pointer-events-none" alt={`Person ${groupIndex + 1}`} />
</div>
<div className="flex flex-col">
<input type="text" value={group.name} placeholder={`Person ${groupIndex + 1}`} onChange={(e) => updateGroupName(group.id, e.target.value)} className="text-sm font-medium bg-transparent border-b border-transparent hover:border-neutral-600 focus:border-indigo-500 outline-none text-white w-32 placeholder:text-neutral-400 transition-colors" />
<div className="text-xs text-neutral-500">{group.faces.length} shots</div>
</div>
</div>
<button onClick={() => toggleGroup(group)} className="text-neutral-400 hover:text-white transition-colors p-1" title={allSelected ? "Deselect All" : "Select All"}>
{allSelected ? <CheckSquareIcon size={20} className="text-indigo-500" /> : someSelected ? <CheckSquareIcon size={20} className="text-indigo-500 opacity-50" /> : <SquareIcon size={20} />}
</button>
</div>
<div className="p-4 grid grid-cols-3 gap-3">
{group.faces.map((face, fIndex) => {
const isSelected = selectedFaceIds.has(face.id);
return (
<div key={face.id} draggable={true} onDragStart={(e) => handleDragStart(e, face.id, group.id)} onDragEnd={handleDragEnd} onClick={() => toggleFace(face.id)} className={`relative aspect-square rounded-xl overflow-hidden cursor-grab active:cursor-grabbing group/item transition-all duration-200 border-2 ${isSelected ? 'border-indigo-500 scale-95' : 'border-transparent hover:border-neutral-600'}`}>
<img src={face.cropDataUrl} alt="Crop" draggable="false" className="w-full h-full object-cover select-none pointer-events-none" loading="lazy" />
<div className={`absolute top-2 right-2 opacity-0 group-hover/item:opacity-100 transition-opacity z-10 flex gap-1.5`}>
<button onClick={(e) => downloadSingleFace(e, face, group, fIndex)} className="p-1.5 bg-neutral-900/80 hover:bg-emerald-500 rounded-lg text-white backdrop-blur border border-neutral-700 transition-colors shadow-sm" title="Download Image"><DownloadIcon size={14} /></button>
<button onClick={(e) => { e.stopPropagation(); openEditor(face, groupIndex, fIndex); }} className="p-1.5 bg-neutral-900/80 hover:bg-indigo-500 rounded-lg text-white backdrop-blur border border-neutral-700 transition-colors shadow-sm" title="Manual Crop"><EditIcon size={14} /></button>
</div>
<div className={`absolute inset-0 pointer-events-none flex items-center justify-center transition-opacity ${isSelected ? 'bg-indigo-500/20 opacity-100' : 'bg-black/40 opacity-0 group-hover/item:opacity-100'}`}>
<div className={`w-6 h-6 rounded-full border-2 flex items-center justify-center ${isSelected ? 'bg-indigo-500 border-indigo-500' : 'border-white/70'}`}>{isSelected && <CheckCircleIcon size={14} className="text-white" />}</div>
</div>
</div>
);
})}
</div>
</div>
);
})}
</div>
</div>
)}
</main>
{faceGroups.length > 0 && (
<div className={`fixed bottom-20 left-1/2 -translate-x-1/2 z-40 transition-all duration-300 ${selectedFaceIds.size > 0 ? 'translate-y-0 opacity-100' : 'translate-y-10 opacity-0 pointer-events-none'}`}>
<div className="bg-neutral-900 border border-neutral-800 shadow-2xl rounded-full p-2 pl-6 pr-3 flex items-center gap-6">
<div className="font-medium text-sm"><span className="text-indigo-400 font-bold">{selectedFaceIds.size}</span> faces selected</div>
<button onClick={downloadSelected} disabled={isProcessing} className={`flex items-center gap-2 bg-indigo-600 text-white px-5 py-2.5 rounded-full text-sm font-medium hover:bg-indigo-500 transition-colors disabled:opacity-50 disabled:cursor-not-allowed`}>
{isProcessing ? <Loader2Icon size={18} className="animate-spin" /> : <DownloadIcon size={18} />}
{isProcessing ? 'Creating ZIP...' : 'Download'}
</button>
</div>
</div>
)}
{showSettings && (
<div className="fixed inset-0 bg-black/80 z-50 flex items-center justify-center p-4">
<div className="bg-neutral-900 border border-neutral-800 rounded-2xl p-6 w-full max-w-md shadow-2xl animate-in">
<div className="flex items-center justify-between mb-6">
<h3 className="text-lg font-semibold text-white">Smart Crop Settings</h3>
<button onClick={() => setShowSettings(false)} className="text-neutral-400 hover:text-white"><XIcon size={20}/></button>
</div>
<div className="space-y-4">
<div>
<label className="block text-sm text-neutral-400 mb-2">Padding Style</label>
<select disabled={isProcessing} value={cropSettings.padding} onChange={(e) => applyGlobalCropSettings({...cropSettings, padding: parseFloat(e.target.value)})} className="w-full bg-neutral-800 border border-neutral-700 rounded-lg p-2.5 text-white outline-none focus:border-indigo-500 disabled:opacity-50">
<option value="0.05">Very Tight (Exclude others)</option>
<option value="0.15">Tight</option>
<option value="0.3">Normal</option>
<option value="0.5">Wide</option>
</select>
</div>
<div>
<label className="block text-sm text-neutral-400 mb-2">Shape</label>
<select disabled={isProcessing} value={cropSettings.shape} onChange={(e) => applyGlobalCropSettings({...cropSettings, shape: e.target.value})} className="w-full bg-neutral-800 border border-neutral-700 rounded-lg p-2.5 text-white outline-none focus:border-indigo-500 disabled:opacity-50">
<option value="square">Square</option>
<option value="original">Original Aspect</option>
</select>
</div>
<p className="text-xs text-neutral-500 mt-4 leading-relaxed">Changes apply instantly to all currently extracted faces.</p>
<button onClick={() => setShowSettings(false)} disabled={isProcessing} className="w-full mt-6 bg-indigo-600 hover:bg-indigo-500 text-white py-2.5 rounded-lg font-medium transition-colors disabled:opacity-50">Done</button>
</div>
</div>
</div>
)}
{editingFace && (
<div className="fixed inset-0 bg-black/80 z-50 flex items-center justify-center p-4">
<div className="bg-neutral-900 border border-neutral-800 rounded-2xl p-6 w-full max-w-lg flex flex-col items-center shadow-2xl animate-in">
<div className="w-full flex items-center justify-between mb-4">
<h3 className="text-lg font-semibold text-white">Manual Crop Adjust (Drag to Pan)</h3>
<button onClick={() => setEditingFace(null)} className="text-neutral-400 hover:text-white"><XIcon size={20}/></button>
</div>
<div className={`relative w-64 h-64 bg-neutral-800 rounded-xl overflow-hidden mb-6 border border-neutral-700 flex items-center justify-center shadow-inner ${dragState.isDragging ? 'cursor-grabbing' : 'cursor-grab'}`} onMouseDown={(e) => { setDragState({ isDragging: true, startX: e.clientX, startY: e.clientY, initialOffsetX: editingFace.manualOffsets.x, initialOffsetY: editingFace.manualOffsets.y }); }} onMouseMove={(e) => { if (!dragState.isDragging || !editingFace) return; const dx = e.clientX - dragState.startX; const dy = e.clientY - dragState.startY; const scale = Math.max(1, editingFace.originalBox.width / 128) / editingFace.manualOffsets.zoom; updateManualCrop({ x: dragState.initialOffsetX - (dx * scale), y: dragState.initialOffsetY - (dy * scale) }); }} onMouseUp={() => setDragState(prev => ({ ...prev, isDragging: false }))} onMouseLeave={() => setDragState(prev => ({ ...prev, isDragging: false }))}>
<img src={editingFace.previewUrl} style={{ imageRendering: editingFace.manualOffsets.resolution !== 'auto' && parseInt(editingFace.manualOffsets.resolution) < 150 ? 'pixelated' : 'auto' }} className="max-w-full max-h-full object-contain pointer-events-none select-none" alt="Preview" draggable="false" />
</div>
<div className="w-full space-y-5">
<div>
<label className="flex justify-between text-sm text-neutral-400 mb-2">
<span>Export Resolution</span>
<span>{editingFace.manualOffsets.resolution === 'auto' ? 'Auto' : `${editingFace.manualOffsets.resolution}x${editingFace.manualOffsets.resolution}`}</span>
</label>
<select value={editingFace.manualOffsets.resolution} onChange={(e) => updateManualCrop({ resolution: e.target.value })} className="w-full bg-neutral-800 border border-neutral-700 rounded-lg p-2.5 text-white outline-none focus:border-indigo-500">
<option value="auto">Auto (Original Detected Size)</option>
<option value="56">56 x 56</option>
<option value="128">128 x 128</option>
<option value="256">256 x 256</option>
<option value="512">512 x 512</option>
</select>
</div>
<div>
<label className="flex justify-between text-sm text-neutral-400 mb-2">
<span>Zoom</span>
<span>{editingFace.manualOffsets.zoom.toFixed(1)}x</span>
</label>
<input type="range" min="0.5" max="2.5" step="0.1" value={editingFace.manualOffsets.zoom} onChange={(e) => updateManualCrop({ zoom: parseFloat(e.target.value) })} className="w-full accent-indigo-500" />
</div>
</div>
<div className="w-full flex gap-3 mt-8">
<button onClick={() => setEditingFace(null)} className="flex-1 py-2.5 rounded-lg border border-neutral-700 text-white hover:bg-neutral-800 transition-colors">Cancel</button>
<button onClick={saveManualCrop} className="flex-1 py-2.5 rounded-lg bg-indigo-600 hover:bg-indigo-500 text-white font-medium transition-colors shadow-lg">Apply Crop</button>
</div>
</div>
</div>
)}
</div>
);
}
const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(<FaceExtractApp />);
</script>
<!-- ========================================== -->
<!-- LOGIC: APP 2 (VIDEOFLOW - MODULE) -->
<!-- ========================================== -->
<script type="module">
import { ObjectDetector, FilesetResolver } from "https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision/vision_bundle.mjs";
const videoInput = document.getElementById('video-input');
const dropZone = document.getElementById('drop-zone');
const videoEl = document.getElementById('hidden-video');
const previewCanvas = document.getElementById('preview-canvas');
const resultsEl = document.getElementById('results');
const progressBar = document.getElementById('progress-bar');
const progressPercent = document.getElementById('progress-percent');
const statusLabel = document.getElementById('status-label');
const startBtn = document.getElementById('start-btn');
const downloadBtn = document.getElementById('download-btn');
const exportImmagerBtn = document.getElementById('export-immager-btn');
const selectAllBtn = document.getElementById('select-all-btn');
const modelBadge = document.getElementById('model-badge');
const faceBadge = document.getElementById('face-badge');
const settingsPanel = document.getElementById('settings-panel');
const statsText = document.getElementById('stats-text');
const scannerLine = document.getElementById('scanner');
const emptyState = document.getElementById('empty-state');
const extractAllToggle = document.getElementById('extract-all-toggle');
const advancedFiltersContainer = document.getElementById('advanced-filters-container');
const autoCropToggle = document.getElementById('auto-crop-toggle');
const faceCropToggle = document.getElementById('face-crop-toggle');
const requireFaceToggle = document.getElementById('require-face-toggle');
const faceUploadBtn = document.getElementById('face-upload-btn');
const faceInput = document.getElementById('face-input');
const faceStatusText = document.getElementById('face-status-text');
const targetFacesContainer = document.getElementById('target-faces-container');
let detector;
let extractedFrames = [];
let isProcessing = false;
window.targetFaces = [];
let isFaceApiLoaded = false;
// Setup frame selection memory globally for Vanilla JS
window.selectedFrames = new Set();
document.getElementById('scan-rate').oninput = (e) => document.getElementById('interval-val').innerText = e.target.value + 's';
document.getElementById('confidence').oninput = (e) => document.getElementById('conf-val').innerText = Math.round(e.target.value * 100) + '%';
// Grey out options logic
extractAllToggle.addEventListener('change', (e) => {
if(e.target.checked) {
advancedFiltersContainer.style.opacity = '0.3';
advancedFiltersContainer.style.pointerEvents = 'none';
} else {
advancedFiltersContainer.style.opacity = '1';
advancedFiltersContainer.style.pointerEvents = 'auto';
}
});
async function initMediaPipe() {
try {
const vision = await FilesetResolver.forVisionTasks("https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@latest/wasm");
detector = await ObjectDetector.createFromOptions(vision, {
baseOptions: {
modelAssetPath: `https://storage.googleapis.com/mediapipe-models/object_detector/efficientdet_lite0/float16/1/efficientdet_lite0.tflite`,
delegate: "GPU"
},
scoreThreshold: 0.5,
runningMode: "IMAGE"
});
modelBadge.innerHTML = '<span class="status-dot bg-emerald-500"></span> MediaPipe Ready';
modelBadge.classList.replace('text-slate-400', 'text-emerald-400');
} catch (err) {
console.error("MediaPipe Error:", err);
modelBadge.innerHTML = '<span class="status-dot bg-red-500"></span> Engine Error';
}
}
async function initFaceAPI() {
faceBadge.classList.remove('hidden');
try {
const MODEL_URL = 'https://cdn.jsdelivr.net/npm/@vladmandic/face-api@1.7.12/model/';
await Promise.all([
window.faceapi.nets.ssdMobilenetv1.loadFromUri(MODEL_URL),
window.faceapi.nets.faceLandmark68Net.loadFromUri(MODEL_URL),
window.faceapi.nets.faceRecognitionNet.loadFromUri(MODEL_URL)
]);
isFaceApiLoaded = true;
faceBadge.innerHTML = '<span class="status-dot bg-purple-500"></span> FaceAPI Ready';
faceBadge.classList.replace('text-slate-400', 'text-purple-400');
} catch(err) {
console.error("FaceAPI Error:", err);
faceBadge.innerHTML = '<span class="status-dot bg-red-500"></span> FaceAPI Error';
}
}
initMediaPipe();
setTimeout(initFaceAPI, 500);
window.removeTargetFace = function(index) {
window.targetFaces.splice(index, 1);
renderTargetFaces();
};
function renderTargetFaces() {
targetFacesContainer.innerHTML = '';
window.targetFaces.forEach((face, index) => {
const wrapper = document.createElement('div');
wrapper.className = 'relative inline-block';
wrapper.innerHTML = `
<img src="${face.preview}" class="w-16 h-16 object-cover rounded-full border-2 border-indigo-500 shadow-[0_0_10px_rgba(99,102,241,0.5)]">
<button class="absolute -top-1 -right-1 bg-red-500 text-white rounded-full w-5 h-5 flex items-center justify-center text-xs hover:bg-red-600 shadow transition-colors" onclick="window.removeTargetFace(${index})">
<i class="fas fa-times"></i>
</button>
`;
targetFacesContainer.appendChild(wrapper);
});
if(window.targetFaces.length > 0) {
faceUploadBtn.innerHTML = '<i class="fas fa-plus mr-1"></i> Add More Faces';
faceStatusText.classList.remove('hidden');
faceStatusText.innerHTML = `<i class="fas fa-check text-emerald-400"></i> ${window.targetFaces.length} Face(s) Locked`;
faceStatusText.className = "text-[10px] text-emerald-400 mt-2 text-center font-bold";
} else {
faceUploadBtn.innerHTML = '<i class="fas fa-camera mr-1"></i> Upload Target Face';
faceStatusText.classList.add('hidden');
}
}
faceUploadBtn.onclick = () => faceInput.click();
faceInput.onchange = async (e) => {
const files = Array.from(e.target.files);
if (files.length === 0) return;
if (!isFaceApiLoaded) {
alert("Please wait for FaceAPI to finish loading...");
return;
}
faceStatusText.classList.remove('hidden');
faceStatusText.innerHTML = '<i class="fas fa-spinner animate-spin"></i> Analyzing face(s)...';
faceStatusText.className = "text-[10px] text-amber-400 mt-2 text-center";
for (let file of files) {
try {
const url = URL.createObjectURL(file);
const img = new Image();
await new Promise(r => { img.onload = r; img.src = url; });
const options = new window.faceapi.SsdMobilenetv1Options({ minConfidence: 0.2 });
const detections = await window.faceapi.detectAllFaces(img, options).withFaceLandmarks().withFaceDescriptors();
if (detections.length > 0) {
detections.forEach(det => {
const box = det.detection.box;
const canvas = document.createElement('canvas');
const pad = Math.max(box.width, box.height) * 0.3;
const size = Math.max(box.width, box.height) + pad * 2;
canvas.width = size;
canvas.height = size;
const ctx = canvas.getContext('2d');
const sx = box.x - pad;
const sy = box.y - pad;
ctx.drawImage(img, sx, sy, size, size, 0, 0, size, size);
window.targetFaces.push({
descriptor: det.descriptor,
preview: canvas.toDataURL('image/jpeg', 0.8)
});
});
}
} catch (err) {
console.error("Detection error:", err);
}
}
if (window.targetFaces.length === 0) {
faceStatusText.innerHTML = '<i class="fas fa-times text-red-500"></i> No faces detected.';
faceStatusText.className = "text-[10px] text-red-500 mt-2 text-center";
} else {
renderTargetFaces();
}
faceInput.value = ''; // Reset input to allow re-uploading the same file if needed
};
dropZone.onclick = () => videoInput.click();
videoInput.onchange = (e) => {
const file = e.target.files[0];
if (file) {
settingsPanel.style.opacity = "1";
settingsPanel.style.pointerEvents = "all";
dropZone.querySelector('h3').innerText = file.name;
statsText.innerText = "Video loaded. Ready to scan.";
}
};
startBtn.onclick = async () => {
if (isProcessing) {
isProcessing = false;
return;
}
const file = videoInput.files[0];
if (!file || !detector) return;
isProcessing = true;
extractedFrames = [];
window.selectedFrames.clear(); // Reset selections
updateActionButtons();
resultsEl.innerHTML = '';
if (emptyState) emptyState.classList.add('hidden');
document.getElementById('progress-container').classList.remove('hidden');
if (scannerLine) scannerLine.style.display = "block";
startBtn.innerHTML = '<i class="fas fa-stop"></i> Stop Analysis';
startBtn.classList.replace('bg-indigo-600', 'bg-red-600');
const url = URL.createObjectURL(file);
videoEl.src = url;
videoEl.onloadedmetadata = async () => {
const ctx = previewCanvas.getContext('2d');
previewCanvas.width = videoEl.videoWidth;
previewCanvas.height = videoEl.videoHeight;
const duration = videoEl.duration;
const step = parseFloat(document.getElementById('scan-rate').value);
const confidence = parseFloat(document.getElementById('confidence').value);
const extractAll = extractAllToggle.checked;
const doAutoCrop = autoCropToggle.checked;
const doFaceCrop = faceCropToggle.checked;
const requireFace = requireFaceToggle.checked;
const matchFace = window.targetFaces.length > 0;
let lastTime = performance.now();
for (let time = 0; time < duration; time += step) {
if (!isProcessing) break;
videoEl.currentTime = time;
await new Promise(r => videoEl.onseeked = r);
ctx.drawImage(videoEl, 0, 0);
if (extractAll) {
// Skip detection entirely and just capture the full frame
const fullFrameData = previewCanvas.toDataURL('image/jpeg', 0.9);
extractedFrames.push({ data: fullFrameData, time: time, type: 'Full' });
addFrameToUI(fullFrameData, time, 'Full', extractedFrames.length - 1);
} else {
detector.setOptions({ scoreThreshold: confidence });
const results = detector.detect(previewCanvas);
let people = results.detections.filter(d =>
d.categories.some(c => c.categoryName === 'person')
);
let validEntities = [];
if (people.length > 0) {
if (matchFace || requireFace || doFaceCrop) {
const faces = await window.faceapi.detectAllFaces(previewCanvas, new window.faceapi.SsdMobilenetv1Options({minConfidence: 0.3})).withFaceLandmarks().withFaceDescriptors();
if (matchFace) {
const matchingFaces = faces.filter(f => window.targetFaces.some(tf => window.faceapi.euclideanDistance(tf.descriptor, f.descriptor) < 0.55));
matchingFaces.forEach(f => {
let linkedPerson = people.find(p => isFaceInBody(f.detection.box, p.boundingBox));
validEntities.push({ personBox: linkedPerson ? linkedPerson.boundingBox : null, faceBox: f.detection.box, isMatch: true });
});
} else if (requireFace) {
faces.forEach(f => {
let linkedPerson = people.find(p => isFaceInBody(f.detection.box, p.boundingBox));
validEntities.push({ personBox: linkedPerson ? linkedPerson.boundingBox : null, faceBox: f.detection.box, isMatch: false });
});
} else {
people.forEach(p => {
let linkedFace = faces.find(f => isFaceInBody(f.detection.box, p.boundingBox));
validEntities.push({ personBox: p.boundingBox, faceBox: linkedFace ? linkedFace.detection.box : null, isMatch: false });
});
}
} else {
people.forEach(p => validEntities.push({ personBox: p.boundingBox, faceBox: null, isMatch: false }));
}
}
if (validEntities.length > 0) {
if (!doAutoCrop && !doFaceCrop) {
const fullFrameData = previewCanvas.toDataURL('image/jpeg', 0.9);
extractedFrames.push({ data: fullFrameData, time: time, type: 'Full' });
addFrameToUI(fullFrameData, time, 'Full', extractedFrames.length - 1);
} else {
validEntities.forEach(entity => {
if (doAutoCrop && entity.personBox) {
const box = entity.personBox;
const padX = box.width * 0.15;
const padY = box.height * 0.15;
const cX = Math.max(0, box.originX - padX);
const cY = Math.max(0, box.originY - padY);
const cW = Math.min(previewCanvas.width - cX, box.width + padX * 2);
const cH = Math.min(previewCanvas.height - cY, box.height + padY * 2);
const cropCanvas = document.createElement('canvas');
cropCanvas.width = cW;
cropCanvas.height = cH;
cropCanvas.getContext('2d').drawImage(previewCanvas, cX, cY, cW, cH, 0, 0, cW, cH);
const frameData = cropCanvas.toDataURL('image/jpeg', 0.9);
extractedFrames.push({ data: frameData, time: time, type: 'Body' });
addFrameToUI(frameData, time, 'Body', extractedFrames.length - 1);
}
if (doFaceCrop && entity.faceBox) {
const fBox = entity.faceBox;
const size = Math.max(fBox.width, fBox.height) * 2.0;
const centerX = fBox.x + fBox.width / 2;
const centerY = fBox.y + fBox.height / 2;
const sX = Math.max(0, centerX - size / 2);
const sY = Math.max(0, centerY - size / 2);
const sW = Math.min(previewCanvas.width - sX, size);
const sH = Math.min(previewCanvas.height - sY, size);
const faceCanvas = document.createElement('canvas');
faceCanvas.width = 512;
faceCanvas.height = 512;
const fCtx = faceCanvas.getContext('2d');
fCtx.fillStyle = '#000000';
fCtx.fillRect(0, 0, 512, 512);
const scale = 512 / size;
const dX = (sX - (centerX - size/2)) * scale;
const dY = (sY - (centerY - size/2)) * scale;
const dW = sW * scale;
const dH = sH * scale;
fCtx.drawImage(previewCanvas, sX, sY, sW, sH, dX, dY, dW, dH);
const faceData = faceCanvas.toDataURL('image/jpeg', 0.95);
extractedFrames.push({ data: faceData, time: time, type: 'Face' });
addFrameToUI(faceData, time, 'Face', extractedFrames.length - 1);
}
});
}
validEntities.forEach(entity => {
if (entity.personBox) {
ctx.strokeStyle = entity.isMatch ? '#c084fc' : '#818cf8';
ctx.lineWidth = 4;
ctx.strokeRect(entity.personBox.originX, entity.personBox.originY, entity.personBox.width, entity.personBox.height);
if (entity.isMatch) {
ctx.fillStyle = '#c084fc';
ctx.font = '20px Arial';
ctx.fillText("TARGET MATCH", entity.personBox.originX, entity.personBox.originY - 10);
}
}
if (entity.faceBox) {
ctx.strokeStyle = '#34d399';
ctx.lineWidth = 2;
ctx.strokeRect(entity.faceBox.x, entity.faceBox.y, entity.faceBox.width, entity.faceBox.height);
}
});
}
} // <-- End of else statement wrapping the detection logic
const pct = Math.min(100, Math.round((time / duration) * 100));
progressBar.style.width = `${pct}%`;
progressPercent.innerText = `${pct}%`;
statsText.innerText = `Extracted ${extractedFrames.length} specific instances.`;
const now = performance.now();
const fps = Math.round(1000 / (now - lastTime));
document.getElementById('fps-counter').innerText = `${fps} SEEK/S`;
lastTime = now;
}
cleanup();
};
};
function isFaceInBody(faceBox, bodyBox) {
if (!bodyBox || !faceBox) return false;
const fCenterX = faceBox.x + faceBox.width / 2;
const fCenterY = faceBox.y + faceBox.height / 2;
return fCenterX >= bodyBox.originX && fCenterX <= bodyBox.originX + bodyBox.width &&
fCenterY >= bodyBox.originY && fCenterY <= bodyBox.originY + bodyBox.height;
}
function addFrameToUI(src, time, type, index) {
const wrapper = document.createElement('div');
const sizeClasses = type === 'Face' ? "w-32 h-32" : (type === 'Body' ? "h-40 w-auto min-w-[100px]" : "w-64 h-auto aspect-video");
const badgeColor = type === 'Face' ? 'bg-emerald-600' : (type === 'Body' ? 'bg-indigo-600' : 'bg-slate-600');
wrapper.className = `frame-wrapper group relative bg-slate-900 rounded-xl overflow-hidden border border-white/5 hover:border-indigo-500/50 transition-all shadow-xl flex-shrink-0 cursor-pointer ${sizeClasses}`;
wrapper.id = `frame-wrapper-${index}`;
wrapper.onclick = () => window.toggleFrameSelection(index);
wrapper.innerHTML = `
<img src="${src}" class="w-full h-full object-contain bg-black/50 pointer-events-none select-none">
<!-- Overlay Checkmark for Selections -->
<div class="selection-overlay absolute inset-0 bg-indigo-500/20 opacity-0 transition-opacity flex items-center justify-center pointer-events-none">
<div class="bg-indigo-500 rounded-full w-8 h-8 flex items-center justify-center text-white shadow-lg">
<i class="fas fa-check"></i>
</div>
</div>
<!-- Action Buttons -->
<div class="absolute top-2 left-2 flex gap-1 z-10 opacity-0 group-hover:opacity-100 transition-opacity">
<!-- Zoom/Preview Button -->
<button class="bg-black/70 hover:bg-indigo-600 text-white p-2 rounded-lg text-xs transition-colors shadow" onclick="event.stopPropagation(); window.showPreview('${src}')" title="Preview Frame">
<i class="fas fa-search-plus"></i>
</button>
<!-- Download Button -->
<button class="bg-black/70 hover:bg-emerald-600 text-white p-2 rounded-lg text-xs transition-colors shadow" onclick="event.stopPropagation(); window.downloadSingleFrame('${src}', ${time}, '${type}', ${index})" title="Download Frame">
<i class="fas fa-download"></i>
</button>
</div>
<!-- Status Tags -->
<div class="absolute bottom-2 left-2 bg-black/60 px-2 py-0.5 rounded text-[9px] font-mono text-indigo-300 pointer-events-none">
T+ ${time.toFixed(1)}s
</div>
<div class="absolute top-2 right-2 ${badgeColor} px-1.5 py-0.5 rounded text-[8px] font-bold text-white uppercase shadow pointer-events-none">
${type}
</div>
`;
resultsEl.appendChild(wrapper);
const container = document.getElementById('results-container');
if (container) container.scrollTop = container.scrollHeight;
}
// --- GLOBAL UI HELPERS FOR VIDEOFLOW SELECTIONS & PREVIEWS ---
window.toggleFrameSelection = function(index) {
if (window.selectedFrames.has(index)) {
window.selectedFrames.delete(index);
} else {
window.selectedFrames.add(index);
}
const frameDiv = document.getElementById(`frame-wrapper-${index}`);
const overlay = frameDiv.querySelector('.selection-overlay');
if (window.selectedFrames.has(index)) {
overlay.classList.remove('opacity-0');
overlay.classList.add('opacity-100');
frameDiv.classList.add('ring-2', 'ring-indigo-500');
} else {
overlay.classList.add('opacity-0');
overlay.classList.remove('opacity-100');
frameDiv.classList.remove('ring-2', 'ring-indigo-500');
}
updateActionButtons();
};
window.showPreview = function(src) {
document.getElementById('preview-modal-img').src = src;
document.getElementById('video-preview-modal').classList.remove('hidden');
};
window.downloadSingleFrame = function(src, time, type, index) {
const a = document.createElement('a');
a.href = src;
a.download = `frame_${time.toFixed(2)}s_${type}_${index}.jpg`;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
};
document.getElementById('close-preview').onclick = () => document.getElementById('video-preview-modal').classList.add('hidden');
document.getElementById('video-preview-modal').onclick = (e) => {
if(e.target === document.getElementById('video-preview-modal')) {
document.getElementById('video-preview-modal').classList.add('hidden');
}
};
function updateActionButtons() {
const count = window.selectedFrames.size;
const total = extractedFrames.length;
if (count > 0) {
downloadBtn.innerHTML = `<i class="fas fa-file-export"></i> Download ${count} Selected`;
exportImmagerBtn.innerHTML = `<i class="fas fa-magic"></i> Export ${count} to Immager`;
selectAllBtn.innerHTML = "Deselect All";
} else {
downloadBtn.innerHTML = `<i class="fas fa-file-export"></i> Download All`;
exportImmagerBtn.innerHTML = `<i class="fas fa-magic"></i> Export All to Immager`;
selectAllBtn.innerHTML = "Select All";
}
if (total > 0) {
downloadBtn.classList.remove('hidden');
exportImmagerBtn.classList.remove('hidden');
selectAllBtn.classList.remove('hidden');
} else {
downloadBtn.classList.add('hidden');
exportImmagerBtn.classList.add('hidden');
selectAllBtn.classList.add('hidden');
}
}
selectAllBtn.onclick = () => {
if (window.selectedFrames.size > 0) {
window.selectedFrames.clear();
} else {
extractedFrames.forEach((_, i) => window.selectedFrames.add(i));
}
extractedFrames.forEach((_, i) => {
const frameDiv = document.getElementById(`frame-wrapper-${i}`);
if(!frameDiv) return;
const overlay = frameDiv.querySelector('.selection-overlay');
if (window.selectedFrames.has(i)) {
overlay.classList.remove('opacity-0');
overlay.classList.add('opacity-100');
frameDiv.classList.add('ring-2', 'ring-indigo-500');
} else {
overlay.classList.add('opacity-0');
overlay.classList.remove('opacity-100');
frameDiv.classList.remove('ring-2', 'ring-indigo-500');
}
});
updateActionButtons();
};
function dataURLtoFile(dataurl, filename) {
let arr = dataurl.split(','), mime = arr[0].match(/:(.*?);/)[1],
bstr = atob(arr[1]), n = bstr.length, u8arr = new Uint8Array(n);
while(n--){
u8arr[n] = bstr.charCodeAt(n);
}
return new File([u8arr], filename, {type:mime});
}
exportImmagerBtn.onclick = () => {
const framesToExport = window.selectedFrames.size > 0
? Array.from(window.selectedFrames).map(i => extractedFrames[i])
: extractedFrames;
if (framesToExport.length === 0) return;
const originalText = exportImmagerBtn.innerHTML;
exportImmagerBtn.innerHTML = '<i class="fas fa-spinner animate-spin"></i> Transferring...';
exportImmagerBtn.disabled = true;
setTimeout(() => {
const files = framesToExport.map((f, i) => {
const filename = `videoflow_${f.time.toFixed(2)}s_${f.type}_${i}.jpg`;
return dataURLtoFile(f.data, filename);
});
// Dispatch event to React Immager
window.dispatchEvent(new CustomEvent('SEND_TO_IMMAGER', { detail: files }));
// Navigate to Immager View automatically
switchApp('immager');
exportImmagerBtn.innerHTML = originalText;
exportImmagerBtn.disabled = false;
}, 100);
};
function cleanup() {
isProcessing = false;
startBtn.innerHTML = '<i class="fas fa-microchip"></i> Start AI Extraction';
startBtn.classList.replace('bg-red-600', 'bg-indigo-600');
if (scannerLine) scannerLine.style.display = "none";
statusLabel.innerText = "Process Complete";
window.selectedFrames.clear(); // Reset Selection
if(extractedFrames.length > 0) {
updateActionButtons();
} else {
if (emptyState) emptyState.classList.remove('hidden');
statsText.innerText = "Scan complete. No matching frames found.";
updateActionButtons();
}
}
downloadBtn.onclick = async () => {
const framesToExport = window.selectedFrames.size > 0
? Array.from(window.selectedFrames).map(i => extractedFrames[i])
: extractedFrames;
if (framesToExport.length === 0) return;
const originalText = downloadBtn.innerHTML;
downloadBtn.innerHTML = '<i class="fas fa-spinner animate-spin"></i> Zipping...';
downloadBtn.disabled = true;
const zip = new window.JSZip();
framesToExport.forEach((f, index) => {
const base64Data = f.data.replace(/^data:image\/(png|jpg|jpeg);base64,/, "");
zip.file(`frame_${f.time.toFixed(2)}s_${f.type}_${index}.jpg`, base64Data, {base64: true});
});
try {
const content = await zip.generateAsync({type: "blob"});
const url = URL.createObjectURL(content);
const a = document.createElement('a');
a.href = url;
a.download = `HumanFrames_Extracted.zip`;
a.click();
} catch (err) {
console.error("Zipping failed", err);
} finally {
downloadBtn.innerHTML = originalText;
downloadBtn.disabled = false;
}
};
</script>
<!-- ========================================== -->
<!-- LOGIC: APP 3 (URL FETCHER) -->
<!-- ========================================== -->
<script>
(function() {
const fetchBtn = document.getElementById('url-fetch-btn');
const textArea = document.getElementById('url-input-text');
const fileInput = document.getElementById('url-file-input');
const dropZone = document.getElementById('url-drop-zone');
const fileNameDisplay = document.getElementById('url-file-name');
const resultsContainer = document.getElementById('url-results');
const emptyState = document.getElementById('url-empty-state');
const statsText = document.getElementById('url-stats-text');
const progressContainer = document.getElementById('url-progress-container');
const progressBar = document.getElementById('url-progress-bar');
const progressPercent = document.getElementById('url-progress-percent');
const selectAllBtn = document.getElementById('url-select-all-btn');
const downloadBtn = document.getElementById('url-download-btn');
const previewModal = document.getElementById('url-preview-modal');
const previewImg = document.getElementById('url-preview-modal-img');
const closePreviewBtn = document.getElementById('url-close-preview');
let fetchedImages = []; // { id, url, blobUrl, isSelected, status }
let isFetching = false;
// Handle File Upload
dropZone.onclick = () => fileInput.click();
fileInput.onchange = (e) => {
const file = e.target.files[0];
if (file) {
fileNameDisplay.innerText = file.name;
const reader = new FileReader();
reader.onload = (event) => {
const content = event.target.result;
const current = textArea.value.trim();
textArea.value = current ? current + '\n' + content : content;
};
reader.readAsText(file);
}
};
// Global UI selection logic
window.toggleUrlSelection = function(index) {
const item = fetchedImages[index];
if(!item || item.status !== 'success') return;
item.isSelected = !item.isSelected;
const card = document.getElementById(`url-card-${index}`);
const overlay = card.querySelector('.url-selection-overlay');
if (item.isSelected) {
overlay.classList.remove('opacity-0');
card.classList.add('ring-2', 'ring-teal-500');
} else {
overlay.classList.add('opacity-0');
card.classList.remove('ring-2', 'ring-teal-500');
}
updateUrlActionButtons();
};
window.showUrlPreview = function(url) {
previewImg.src = url;
previewModal.classList.remove('hidden');
};
window.downloadSingleUrlImage = function(blobUrl, originalUrl) {
const a = document.createElement('a');
a.href = blobUrl;
let filename = "image.jpg";
try {
const parsed = new URL(originalUrl);
const parts = parsed.pathname.split('/');
const lastPart = parts[parts.length - 1];
if(lastPart && lastPart.includes('.')) filename = lastPart;
} catch(e) {}
a.download = filename;
document.body.appendChild(a);
a.click();
document.body.removeChild(a);
};
closePreviewBtn.onclick = () => previewModal.classList.add('hidden');
previewModal.onclick = (e) => {
if(e.target === previewModal) previewModal.classList.add('hidden');
};
function updateUrlActionButtons() {
const successful = fetchedImages.filter(img => img.status === 'success');
const selected = successful.filter(img => img.isSelected);
if (successful.length > 0) {
selectAllBtn.classList.remove('hidden');
downloadBtn.classList.remove('hidden');
if (selected.length > 0) {
downloadBtn.innerHTML = `<i class="fas fa-file-archive"></i> ZIP ${selected.length} Selected`;
selectAllBtn.innerText = "Deselect All";
} else {
downloadBtn.innerHTML = `<i class="fas fa-file-archive"></i> ZIP All (${successful.length})`;
selectAllBtn.innerText = "Select All";
}
} else {
selectAllBtn.classList.add('hidden');
downloadBtn.classList.add('hidden');
}
}
selectAllBtn.onclick = () => {
const successful = fetchedImages.filter(img => img.status === 'success');
const anyUnselected = successful.some(img => !img.isSelected);
fetchedImages.forEach((img, idx) => {
if (img.status === 'success') {
img.isSelected = anyUnselected;
const card = document.getElementById(`url-card-${idx}`);
const overlay = card.querySelector('.url-selection-overlay');
if(card && overlay) {
if (img.isSelected) {
overlay.classList.remove('opacity-0');
card.classList.add('ring-2', 'ring-teal-500');
} else {
overlay.classList.add('opacity-0');
card.classList.remove('ring-2', 'ring-teal-500');
}
}
}
});
updateUrlActionButtons();
};
function renderUrlImage(item, index) {
const wrapper = document.createElement('div');
wrapper.id = `url-card-${index}`;
wrapper.className = `group relative bg-slate-900 rounded-xl overflow-hidden border border-white/5 hover:border-teal-500/50 transition-all shadow-xl w-40 h-40 flex-shrink-0 cursor-pointer ${item.isSelected ? 'ring-2 ring-teal-500' : ''}`;
wrapper.onclick = () => window.toggleUrlSelection(index);
if (item.status === 'success') {
wrapper.innerHTML = `
<img src="${item.blobUrl}" class="w-full h-full object-cover pointer-events-none select-none">
<!-- Overlay Checkmark -->
<div class="url-selection-overlay absolute inset-0 bg-teal-500/20 ${item.isSelected ? '' : 'opacity-0'} transition-opacity flex items-center justify-center pointer-events-none">
<div class="bg-teal-500 rounded-full w-8 h-8 flex items-center justify-center text-white shadow-lg">
<i class="fas fa-check"></i>
</div>
</div>
<!-- Action Buttons -->
<div class="absolute top-2 left-2 flex gap-1 z-10 opacity-0 group-hover:opacity-100 transition-opacity">
<button class="bg-black/70 hover:bg-teal-600 text-white p-2 rounded-lg text-xs transition-colors shadow" onclick="event.stopPropagation(); window.showUrlPreview('${item.blobUrl}')" title="Preview">
<i class="fas fa-search-plus"></i>
</button>
<button class="bg-black/70 hover:bg-emerald-600 text-white p-2 rounded-lg text-xs transition-colors shadow" onclick="event.stopPropagation(); window.downloadSingleUrlImage('${item.blobUrl}', '${item.url}')" title="Download">
<i class="fas fa-download"></i>
</button>
</div>
`;
} else {
wrapper.className = `bg-slate-800 rounded-xl overflow-hidden border border-red-500/20 w-40 h-40 flex flex-col items-center justify-center text-red-400 p-2`;
wrapper.innerHTML = `
<i class="fas fa-exclamation-circle text-2xl mb-2"></i>
<span class="text-[10px] text-center break-all text-slate-400 overflow-hidden line-clamp-2">${item.url}</span>
<span class="text-xs font-bold mt-1 text-center">Failed to load</span>
`;
}
resultsContainer.appendChild(wrapper);
}
fetchBtn.onclick = async () => {
if (isFetching) return;
const text = textArea.value;
const regex = /(https?:\/\/[^\s]+)/g;
let urls = text.match(regex) || [];
urls = [...new Set(urls)]; // Remove duplicates
if (urls.length === 0) {
alert("No valid URLs found. Please enter valid http/https links.");
return;
}
isFetching = true;
fetchBtn.innerHTML = '<i class="fas fa-spinner animate-spin"></i> Fetching...';
fetchedImages = [];
resultsContainer.innerHTML = '';
emptyState.classList.add('hidden');
progressContainer.classList.remove('hidden');
let successCount = 0;
let failCount = 0;
for (let i = 0; i < urls.length; i++) {
const currentUrl = urls[i];
progressBar.style.width = `${((i) / urls.length) * 100}%`;
progressPercent.innerText = `${i}/${urls.length}`;
const imageObj = { id: i, url: currentUrl, blobUrl: null, isSelected: false, status: 'pending' };
try {
// Fetch the image as a blob to allow direct ZIP download later
const response = await fetch(currentUrl, { mode: 'cors' });
if (!response.ok) throw new Error("Network response was not ok");
const blob = await response.blob();
const blobUrl = URL.createObjectURL(blob);
if (!blob.type.startsWith('image/')) throw new Error("Not an image");
imageObj.blobUrl = blobUrl;
imageObj.status = 'success';
successCount++;
} catch (e) {
imageObj.status = 'error';
failCount++;
}
fetchedImages.push(imageObj);
renderUrlImage(imageObj, i);
}
progressBar.style.width = '100%';
progressPercent.innerText = `${urls.length}/${urls.length}`;
setTimeout(() => progressContainer.classList.add('hidden'), 1000);
statsText.innerText = `Fetched ${successCount} images (${failCount} failed).`;
isFetching = false;
fetchBtn.innerHTML = '<i class="fas fa-cloud-download-alt"></i> Fetch Images';
updateUrlActionButtons();
};
downloadBtn.onclick = async () => {
const successful = fetchedImages.filter(img => img.status === 'success');
let toZip = successful.filter(img => img.isSelected);
if (toZip.length === 0) toZip = successful;
if (toZip.length === 0) return;
const originalText = downloadBtn.innerHTML;
downloadBtn.innerHTML = '<i class="fas fa-spinner animate-spin"></i> Zipping...';
downloadBtn.disabled = true;
try {
const zip = new window.JSZip();
for (let i = 0; i < toZip.length; i++) {
const img = toZip[i];
const response = await fetch(img.blobUrl);
const blob = await response.blob();
let ext = "jpg";
if(blob.type === "image/png") ext = "png";
else if(blob.type === "image/gif") ext = "gif";
else if(blob.type === "image/webp") ext = "webp";
zip.file(`image_${i+1}.${ext}`, blob);
}
const content = await zip.generateAsync({type: "blob"});
const zipUrl = URL.createObjectURL(content);
const a = document.createElement('a');
a.href = zipUrl;
a.download = `Fetched_Images_${toZip.length}.zip`;
a.click();
} catch (err) {
console.error("Zipping failed", err);
alert("Failed to create ZIP.");
} finally {
downloadBtn.innerHTML = originalText;
downloadBtn.disabled = false;
}
};
})();
</script>
<!-- ========================================== -->
<!-- DYNAMIC PWA REGISTRATION (SINGLE FILE) -->
<!-- ========================================== -->
<script>
(function() {
// 1. Generate & Inject Manifest dynamically
const manifestObj = {
"name": "AI Extraction Studio",
"short_name": "AI Studio",
"start_url": ".",
"display": "standalone",
"background_color": "#000000",
"theme_color": "#4f46e5",
"description": "Image cropping and video extraction AI tools running locally in your browser.",
"icons": [{
"src": "data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 512 512'><rect width='512' height='512' rx='120' fill='%234f46e5'/><path d='M150 350 L250 150 L350 350 Z' fill='white'/></svg>",
"sizes": "512x512",
"type": "image/svg+xml",
"purpose": "any maskable"
}]
};
const manifestBlob = new Blob([JSON.stringify(manifestObj)], {type: 'application/json'});
const manifestUrl = URL.createObjectURL(manifestBlob);
const link = document.createElement('link');
link.rel = 'manifest';
link.href = manifestUrl;
document.head.appendChild(link);
/* Note: Dynamic Service Worker registration via Blob URL has been removed.
Browsers block 'blob:' protocols for Service Workers for security reasons.
To make this a fully offline-installable PWA in the future, you will need to
host it on a local or live web server and link a separate 'sw.js' file.
*/
})();
</script>
</body>
</html> |