mirror of
https://github.com/ruvnet/RuView.git
synced 2026-04-28 05:59:32 +00:00
* feat: dual-modal WASM browser pose estimation demo (ADR-058) Live webcam video + WiFi CSI fusion for real-time pose estimation. Two parallel CNN pipelines (ruvector-cnn-wasm) with attention-weighted fusion and dynamic confidence gating. Three modes: Dual, Video-only, CSI-only. Includes pre-built WASM package (~52KB) for browser deployment. - ADR-058: Dual-modal architecture design - ui/pose-fusion.html: Main demo page with dark theme UI - 7 JS modules: video-capture, csi-simulator, cnn-embedder, fusion-engine, pose-decoder, canvas-renderer, main orchestrator - Pre-built ruvector-cnn-wasm WASM package for browser - CSI heatmap, embedding space visualization, latency metrics - WebSocket support for live ESP32 CSI data - Navigation link added to main dashboard Co-Authored-By: claude-flow <ruv@ruv.net> * fix: motion-responsive skeleton + through-wall CSI tracking - Pose decoder now uses per-cell motion grid to track actual arm/head positions — raising arms moves the skeleton's arms, head follows lateral movement - Motion grid (10x8 cells) tracks intensity per body zone: head, left/right arm upper/mid, legs - Through-wall mode: when person exits frame, CSI maintains presence with slow decay (~10s) and skeleton drifts in exit direction - CSI simulator persists sensing after video loss, ghost pose renders with decreasing confidence - Reduced temporal smoothing (0.45) for faster response to movement Co-Authored-By: claude-flow <ruv@ruv.net> * fix: video fills available space + correct WASM path resolution - Remove fixed aspect-ratio and max-height from video panel so it fills the available viewport space without scrolling - Grid uses 1fr row for content area, overflow:hidden on main grid - Fix WASM path: resolve relative to JS module file using import.meta.url instead of hardcoded ./pkg/ which resolved incorrectly on gh-pages - Responsive: mobile still gets aspect-ratio constraint Co-Authored-By: claude-flow <ruv@ruv.net> * feat: live ESP32 CSI pipeline + auto-connect WebSocket - Add auto-connect to local sensing server WebSocket (ws://localhost:8765) - Demo shows "Live ESP32" when connected to real CSI data - Add build_firmware.ps1 for native Windows ESP-IDF builds (no Docker) - Add read_serial.ps1 for ESP32 serial monitor Pipeline: ESP32 → UDP:5005 → sensing-server → WS:8765 → browser demo Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add ADR-059 live ESP32 CSI pipeline + update README with demo links - ADR-059: Documents end-to-end ESP32 → sensing server → browser pipeline - README: Add dual-modal pose fusion demo link, update ADR count to 49 - References issue #245 Co-Authored-By: claude-flow <ruv@ruv.net> * feat: RSSI visualization, RuVector attention WASM, cache-bust fixes - Add animated RSSI Signal Strength panel with sparkline history - Fix RuVector WasmMultiHeadAttention retptr calling convention - Wire up RuVector Multi-Head + Flash Attention in CNN embedder - Add ambient temporal drift to CSI simulator for visible heatmap animation - Fix embedding space projection (sparse projection replaces cancelling sum) - Add auto-scaling to embedding space renderer - Add cache busters (?v=4) to all ES module imports to prevent stale caches - Add diagnostic logging for module version verification - Add RSSI tracking with quality labels and color-coded dBm display - Includes ruvector-attention-wasm v2.0.5 browser ESM wrapper Co-Authored-By: claude-flow <ruv@ruv.net> * feat: 26-keypoint dexterous pose + full RuVector attention pipeline Pose Decoder (17 → 26 keypoints): - Add finger approximations: thumb, index, pinky per hand (6 new) - Add toe tips: left/right foot index (2 new) - Add neck keypoint (1 new) - Hand openness driven by arm motion intensity - Finger positions computed from wrist-elbow axis angles CNN Embedder (full RuVector WASM pipeline): - Stage 1: Multi-Head Attention (global spatial reasoning) - Stage 2: Hyperbolic Attention (hierarchical body-part tree) - Stage 3: MoE Attention (3 experts: upper/lower/extremities, top-2) - Blended 40/30/30 weighting → final embedding projection Canvas Renderer: - Magenta finger joints with distinct glow - Cyan toe tips - White neck keypoint - Thinner limb lines for hand/foot connections - Joint count shown in overlay label CSI Simulator: - Skip synthetic person state when live ESP32 connected - Only simulate CSI data in demo mode (was already correct) Embedding Space: - Fixed projection: sparse 8-dim projection replaces cancelling sum - Auto-scaling normalizes point spread to fill canvas Cache busters bumped to v=5 on all imports. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: centroid-based pose tracking for responsive limb movement Rewrites pose decoder from intensity-based to position-based tracking: - Arms now track toward motion centroid in each body zone - Elbow/wrist positions computed along shoulder→centroid vector - Legs track toward lower-body zone centroids - Smoothing reduced from 0.45 to 0.25 for responsiveness - Zone centroids blend 30% old / 70% new each frame 6 body zones with overlapping coverage: - Head (top 20%, center cols) - Left/Right Arm (rows 10-60%, outer cols) - Torso (rows 15-55%, center cols) - Left/Right Leg (rows 50-100%, half cols each) Hand openness now driven by arm spread distance + raise amount. Cache busters v=6. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: remove duplicate lAnkleX/rAnkleX declarations in pose-decoder Stale code block from old intensity-based tracking was left behind, re-declaring variables already defined by centroid-based tracking. Co-Authored-By: claude-flow <ruv@ruv.net> * feat(demo): wire all 6 RuVector WASM attention mechanisms into pose fusion - Add WasmLinearAttention and WasmLocalGlobalAttention to browser ESM wrapper - Add 6 WASM utility functions (batch_normalize, pairwise_distances, etc.) - Extend CnnEmbedder to 6-stage pipeline: Flash → MHA → Hyperbolic → Linear → MoE → L+G - Use log-energy softmax blending across all 6 stages - Wire WASM cosine_similarity and normalize into FusionEngine - Add RuVector pipeline stats panel to UI (energy, refinement, pose impact) - Compute embedding-to-joint mapping stats without modifying joint positions - Center camera prompt with flexbox layout - Add cache busters v=12 Co-Authored-By: claude-flow <ruv@ruv.net>
535 lines
10 KiB
CSS
535 lines
10 KiB
CSS
/* WiFi-DensePose — Dual-Modal Pose Fusion Demo
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Dark theme matching Observatory */
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@import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;600;700&family=JetBrains+Mono:wght@400;600&display=swap');
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:root {
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--bg-deep: #080c14;
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--bg-panel: rgba(8, 16, 28, 0.92);
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--bg-panel-border: rgba(0, 210, 120, 0.25);
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--green-glow: #00d878;
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--green-bright:#3eff8a;
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--green-dim: #0a6b3a;
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--amber: #ffb020;
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--amber-dim: #a06800;
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--blue-signal: #2090ff;
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--blue-dim: #0a3060;
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--red-alert: #ff3040;
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--cyan: #00e5ff;
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--text-primary: #e8ece0;
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--text-secondary: rgba(232,236,224, 0.55);
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--text-label: rgba(232,236,224, 0.35);
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--radius: 8px;
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}
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* { margin: 0; padding: 0; box-sizing: border-box; }
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body {
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background: var(--bg-deep);
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font-family: 'Inter', -apple-system, sans-serif;
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color: var(--text-primary);
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-webkit-font-smoothing: antialiased;
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overflow-x: hidden;
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min-height: 100vh;
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}
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/* === Header === */
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.header {
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display: flex;
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align-items: center;
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justify-content: space-between;
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padding: 16px 24px;
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border-bottom: 1px solid var(--bg-panel-border);
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background: var(--bg-panel);
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backdrop-filter: blur(12px);
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}
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.header-left {
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display: flex;
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align-items: center;
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gap: 16px;
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}
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.logo {
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font-weight: 700;
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font-size: 24px;
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color: var(--green-glow);
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}
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.logo .pi { font-style: normal; }
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.header-title {
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font-size: 14px;
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color: var(--text-secondary);
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font-weight: 300;
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}
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.header-right {
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display: flex;
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align-items: center;
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gap: 16px;
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}
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.mode-select {
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background: rgba(0,210,120,0.1);
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border: 1px solid var(--bg-panel-border);
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color: var(--text-primary);
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padding: 6px 12px;
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border-radius: var(--radius);
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font-family: inherit;
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font-size: 13px;
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cursor: pointer;
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}
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.mode-select option { background: #0c1420; }
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.status-badge {
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display: flex;
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align-items: center;
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gap: 6px;
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font-family: 'JetBrains Mono', monospace;
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font-size: 12px;
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padding: 4px 10px;
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border-radius: 12px;
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background: rgba(0,210,120,0.1);
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border: 1px solid var(--bg-panel-border);
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}
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.status-dot {
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width: 8px; height: 8px;
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border-radius: 50%;
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background: var(--green-glow);
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box-shadow: 0 0 8px var(--green-glow);
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animation: pulse-dot 2s ease infinite;
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}
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.status-dot.offline { background: #555; box-shadow: none; animation: none; }
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.status-dot.warning { background: var(--amber); box-shadow: 0 0 8px var(--amber); }
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@keyframes pulse-dot {
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0%, 100% { opacity: 1; }
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50% { opacity: 0.5; }
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}
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.fps-badge {
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font-family: 'JetBrains Mono', monospace;
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font-size: 12px;
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color: var(--green-glow);
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}
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.back-link {
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color: var(--text-secondary);
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text-decoration: none;
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font-size: 13px;
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transition: color 0.2s;
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}
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.back-link:hover { color: var(--green-glow); }
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/* === Main Layout === */
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.main-grid {
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display: grid;
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grid-template-columns: 1fr 360px;
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grid-template-rows: 1fr auto;
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gap: 16px;
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padding: 16px 24px;
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height: calc(100vh - 72px);
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overflow: hidden;
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}
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.video-panel {
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grid-row: 1;
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}
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.side-panels {
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grid-row: 1;
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}
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/* === Video Panel === */
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.video-panel {
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position: relative;
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background: #000;
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border-radius: var(--radius);
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border: 1px solid var(--bg-panel-border);
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overflow: hidden;
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min-height: 0;
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}
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.video-panel video {
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width: 100%;
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height: 100%;
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object-fit: cover;
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transform: scaleX(-1);
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}
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.video-panel canvas {
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position: absolute;
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top: 0; left: 0;
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width: 100%;
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height: 100%;
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transform: scaleX(-1);
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}
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.video-overlay-label {
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position: absolute;
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top: 12px; left: 12px;
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font-family: 'JetBrains Mono', monospace;
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font-size: 11px;
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padding: 4px 8px;
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background: rgba(0,0,0,0.7);
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border-radius: 4px;
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color: var(--green-glow);
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z-index: 5;
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transform: scaleX(-1);
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}
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.camera-prompt {
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position: absolute;
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top: 0; left: 0; right: 0; bottom: 0;
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display: flex;
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flex-direction: column;
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align-items: center;
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justify-content: center;
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text-align: center;
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color: var(--text-secondary);
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padding: 24px;
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z-index: 6;
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}
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.camera-prompt button {
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margin-top: 16px;
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padding: 10px 24px;
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background: var(--green-glow);
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color: #000;
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border: none;
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border-radius: var(--radius);
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font-family: inherit;
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font-weight: 600;
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font-size: 14px;
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cursor: pointer;
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transition: background 0.2s;
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}
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.camera-prompt button:hover { background: var(--green-bright); }
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.camera-prompt-label {
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font-family: 'JetBrains Mono', monospace;
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font-size: 14px;
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font-weight: 600;
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letter-spacing: 2px;
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color: var(--green-glow);
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text-shadow: 0 0 12px rgba(0,216,120,0.4);
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margin-bottom: 12px;
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}
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/* === Side Panels === */
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.side-panels {
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display: flex;
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flex-direction: column;
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gap: 8px;
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overflow-y: auto;
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min-height: 0;
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max-height: 100%;
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scrollbar-width: thin;
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scrollbar-color: var(--green-dim) transparent;
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}
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.panel {
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background: var(--bg-panel);
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border: 1px solid var(--bg-panel-border);
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border-radius: var(--radius);
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padding: 10px 14px;
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flex-shrink: 0;
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}
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.panel-title {
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font-size: 11px;
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text-transform: uppercase;
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letter-spacing: 1.2px;
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color: var(--text-label);
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margin-bottom: 10px;
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display: flex;
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align-items: center;
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gap: 6px;
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}
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/* === CSI Heatmap === */
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.csi-canvas-wrapper {
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position: relative;
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border-radius: 4px;
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overflow: hidden;
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background: #000;
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}
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.csi-canvas-wrapper canvas {
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width: 100%;
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display: block;
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}
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/* === Fusion Bars === */
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.fusion-bars {
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display: flex;
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flex-direction: column;
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gap: 8px;
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}
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.bar-row {
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.bar-label {
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font-family: 'JetBrains Mono', monospace;
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font-size: 11px;
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color: var(--text-secondary);
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width: 55px;
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text-align: right;
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}
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.bar-track {
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flex: 1;
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height: 6px;
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background: rgba(255,255,255,0.06);
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border-radius: 3px;
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overflow: hidden;
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}
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.bar-fill {
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height: 100%;
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border-radius: 3px;
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transition: width 0.3s ease;
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}
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.bar-fill.video { background: var(--cyan); }
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.bar-fill.csi { background: var(--amber); }
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.bar-fill.fused { background: var(--green-glow); box-shadow: 0 0 8px var(--green-glow); }
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.bar-value {
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font-family: 'JetBrains Mono', monospace;
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font-size: 11px;
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color: var(--text-primary);
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width: 36px;
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}
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/* === Embedding Space === */
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.embedding-canvas-wrapper {
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position: relative;
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background: #000;
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border-radius: 4px;
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overflow: hidden;
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}
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.embedding-canvas-wrapper canvas {
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width: 100%;
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display: block;
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}
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/* === RuVector Pipeline === */
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.rv-pipeline {
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display: flex;
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align-items: center;
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gap: 2px;
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margin-bottom: 8px;
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flex-wrap: wrap;
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}
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.rv-stage {
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font-family: 'JetBrains Mono', monospace;
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font-size: 10px;
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padding: 3px 6px;
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border-radius: 3px;
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background: rgba(0,210,120,0.12);
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border: 1px solid rgba(0,210,120,0.3);
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color: var(--green-glow);
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transition: all 0.3s;
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}
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.rv-stage.active {
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background: rgba(0,210,120,0.25);
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box-shadow: 0 0 6px rgba(0,210,120,0.3);
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}
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.rv-arrow {
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font-size: 10px;
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color: var(--text-label);
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}
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.rv-stats {
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display: flex;
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gap: 12px;
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font-family: 'JetBrains Mono', monospace;
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font-size: 10px;
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color: var(--text-secondary);
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}
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/* === Latency Panel === */
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.latency-grid {
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display: grid;
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grid-template-columns: repeat(4, 1fr);
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gap: 6px;
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}
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.latency-item {
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text-align: center;
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padding: 6px 0;
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}
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.latency-value {
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font-family: 'JetBrains Mono', monospace;
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font-size: 16px;
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font-weight: 600;
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color: var(--green-glow);
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}
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.latency-label {
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font-size: 10px;
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color: var(--text-label);
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margin-top: 2px;
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}
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/* === Controls === */
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.controls-row {
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display: flex;
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gap: 8px;
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flex-wrap: wrap;
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}
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.btn {
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padding: 6px 14px;
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border: 1px solid var(--bg-panel-border);
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background: rgba(0,210,120,0.08);
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color: var(--text-primary);
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border-radius: var(--radius);
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font-family: inherit;
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font-size: 12px;
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cursor: pointer;
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transition: all 0.2s;
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}
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.btn:hover { background: rgba(0,210,120,0.2); }
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.btn.active { background: var(--green-glow); color: #000; font-weight: 600; }
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.slider-row {
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display: flex;
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align-items: center;
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gap: 8px;
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margin-top: 8px;
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}
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.slider-row label {
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font-size: 11px;
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color: var(--text-secondary);
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white-space: nowrap;
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}
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.slider-row input[type=range] {
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flex: 1;
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accent-color: var(--green-glow);
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}
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.slider-row .slider-val {
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font-family: 'JetBrains Mono', monospace;
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font-size: 11px;
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width: 32px;
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color: var(--green-glow);
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}
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/* === Bottom Bar === */
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.bottom-bar {
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grid-column: 1 / -1;
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display: flex;
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align-items: center;
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justify-content: space-between;
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padding: 10px 16px;
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background: var(--bg-panel);
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border: 1px solid var(--bg-panel-border);
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border-radius: var(--radius);
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font-family: 'JetBrains Mono', monospace;
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font-size: 11px;
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color: var(--text-secondary);
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}
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.bottom-bar a {
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color: var(--green-glow);
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text-decoration: none;
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}
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/* === RSSI Signal Strength === */
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.rssi-row {
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display: flex;
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align-items: center;
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gap: 12px;
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}
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.rssi-gauge { flex: 1; }
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.rssi-bar-track {
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height: 8px;
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background: rgba(255,255,255,0.06);
|
|
border-radius: 4px;
|
|
overflow: hidden;
|
|
position: relative;
|
|
}
|
|
|
|
.rssi-bar-fill {
|
|
height: 100%;
|
|
border-radius: 4px;
|
|
background: linear-gradient(90deg, var(--red-alert), var(--amber), var(--green-glow));
|
|
transition: width 0.4s ease;
|
|
position: relative;
|
|
box-shadow: 0 0 6px rgba(0,210,120,0.3);
|
|
}
|
|
|
|
.rssi-bar-fill::after {
|
|
content: '';
|
|
position: absolute;
|
|
top: 0; left: 0; right: 0; bottom: 0;
|
|
background: linear-gradient(90deg, transparent 0%, rgba(255,255,255,0.2) 50%, transparent 100%);
|
|
animation: rssi-shimmer 2s ease-in-out infinite;
|
|
}
|
|
|
|
@keyframes rssi-shimmer {
|
|
0% { transform: translateX(-100%); }
|
|
100% { transform: translateX(100%); }
|
|
}
|
|
|
|
.rssi-values {
|
|
display: flex;
|
|
justify-content: space-between;
|
|
margin-top: 4px;
|
|
}
|
|
|
|
.rssi-dbm {
|
|
font-family: 'JetBrains Mono', monospace;
|
|
font-size: 14px;
|
|
font-weight: 600;
|
|
color: var(--green-glow);
|
|
}
|
|
|
|
.rssi-quality {
|
|
font-family: 'JetBrains Mono', monospace;
|
|
font-size: 11px;
|
|
color: var(--text-secondary);
|
|
text-transform: uppercase;
|
|
}
|
|
|
|
#rssi-sparkline {
|
|
flex-shrink: 0;
|
|
border-radius: 4px;
|
|
background: rgba(0,0,0,0.3);
|
|
}
|
|
|
|
/* === Skeleton colors === */
|
|
.skeleton-joint { fill: var(--green-glow); }
|
|
.skeleton-limb { stroke: var(--green-bright); }
|
|
.skeleton-joint-csi { fill: var(--amber); }
|
|
.skeleton-limb-csi { stroke: var(--amber); }
|
|
|
|
/* === Responsive === */
|
|
@media (max-width: 900px) {
|
|
.main-grid {
|
|
grid-template-columns: 1fr;
|
|
height: auto;
|
|
overflow: auto;
|
|
}
|
|
.video-panel { aspect-ratio: 16/9; max-height: 50vh; }
|
|
.side-panels { max-height: none; overflow: visible; }
|
|
}
|