Commit Graph

10 Commits

Author SHA1 Message Date
ruv db1ccbff49 docs(adr): ADR-092 nvsim dashboard implementation [proposed]
Full implementation spec for the nvsim operator dashboard (mockup
included at assets/NVsim Dashboard.zip). Vite + TypeScript + Lit SPA
with two pluggable transports against a single NvsimClient interface:

- WasmClient: nvsim compiled to wasm32-unknown-unknown, run inside a
  Web Worker. Default mode for GitHub Pages — no server, no upload.
- WsClient: REST control plane + binary WebSocket frame stream against
  a new nvsim-server Axum binary in v2/crates/nvsim-server/.

Both transports share a single TypeScript interface; the dashboard
never binds to a concrete client. Witness verification asserts
byte-equivalence between WASM and WS modes against
Proof::EXPECTED_WITNESS_HEX.

Sections cover: full UI inventory from the mockup (12 zones, ~50
components, every modal/palette/shortcut), crate work (wasm-bindgen on
nvsim, new nvsim-server, @ruvnet/nvsim-client npm package), state
model (signals + IndexedDB persistence), build pipeline (GitHub Pages
deployment via wasm-pack + Vite + actions/deploy-pages), six
implementation passes mirroring the nvsim Pass 1-6 plan, 12 acceptance
gates, risks, alternatives, open questions.

Cross-references ADR-089/090/091 and the Ghost Murmur use-case spec.
Mockup committed alongside as the canonical UI contract.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-04-26 18:43:50 -04:00
ruv 8b57a6f64c docs: update README with ADR-045–048, Observatory, adaptive classifier, AMOLED display
- Update ADR count from 44 to 48
- Add adaptive classifier (ADR-048) to Intelligence features
- Add Observatory visualization (ADR-047) and AMOLED display (ADR-045) to Deployment features
- Update screenshot to v2-screen.png
- Add ADR-045 (AMOLED), ADR-046 (Android TV), ADR-047 (Observatory), DDD deployment model
- Add AMOLED display firmware (display_hal, display_task, display_ui, LVGL config)
- Add Observatory UI (13 Three.js modules, CSS, HTML entry point)
- Add trained adaptive model JSON
- Update .gitignore for managed_components, recordings, .swarm

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-05 10:20:48 -05:00
ruv 57141ff707 Update README hero image to ruview-small-gemini
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-04 10:37:42 -05:00
ruv 6fea56c4a9 Add RuView hero image to top of README
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-04 10:19:41 -05:00
ruv 51140f599f fix: update image references and remove obsolete screenshots 2026-03-02 11:11:58 -05:00
ruv 6a408b30e8 Refactor code structure for improved readability and maintainability 2026-03-02 11:07:41 -05:00
ruv 135d7d3d8c docs: add live pose detection screenshot to README
Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-02 11:00:02 -05:00
ruv 4cabffa726 Implement feature X to enhance user experience and optimize performance 2026-02-28 23:51:23 -05:00
rUv 16c50abca3
Add files via upload 2026-01-13 16:04:26 -05:00
rUv f3c77b1750 Add WiFi DensePose implementation and results
- Implemented the WiFi DensePose model in PyTorch, including CSI phase processing, modality translation, and DensePose prediction heads.
- Added a comprehensive training utility for the model, including loss functions and training steps.
- Created a CSV file to document hardware specifications, architecture details, training parameters, performance metrics, and advantages of the model.
2025-06-07 05:23:07 +00:00