Files
ruvnet--RuView/ui/pose-fusion/pkg/ruvector_cnn_wasm/package.json
T
ruv c4e640c812 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>
2026-03-12 14:26:39 -04:00

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JSON

{
"name": "ruvector-cnn-wasm",
"type": "module",
"description": "WASM bindings for ruvector-cnn - CNN feature extraction for image embeddings",
"version": "0.1.0",
"license": "MIT OR Apache-2.0",
"repository": {
"type": "git",
"url": "https://github.com/ruvnet/ruvector"
},
"files": [
"ruvector_cnn_wasm_bg.wasm",
"ruvector_cnn_wasm.js"
],
"main": "ruvector_cnn_wasm.js",
"sideEffects": [
"./snippets/*"
],
"keywords": [
"cnn",
"embeddings",
"wasm",
"simd",
"machine-learning"
]
}