wifi-densepose

dearsky/wifi-densepose

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Author	SHA1	Message	Date
ruv	e2320e8e4b	feat(wifiscan): add Rust macOS + Linux adapters, fix Python byte counters - Add MacosCoreWlanScanner (macOS): CoreWLAN Swift helper adapter with synthetic BSSID generation via FNV-1a hash for redacted MACs (ADR-025) - Add LinuxIwScanner (Linux): parses `iw dev <iface> scan` output with freq-to-channel conversion and BSS stanza parsing - Both adapters produce Vec<BssidObservation> compatible with the existing WindowsWifiPipeline 8-stage processing - Platform-gate modules with #[cfg(target_os)] so each adapter only compiles on its target OS - Fix Python MacosWifiCollector: remove synthetic byte counters that produced misleading tx_bytes/rx_bytes data (set to 0) - Add compiled Swift binary (mac_wifi) to .gitignore Co-Authored-By: claude-flow <ruv@ruv.net>	2026-03-01 10:51:45 -05:00
rUv	9bbe95648c	feat: ADR-024 Contrastive CSI Embedding Model — all 7 phases (#52 ) Full implementation of Project AETHER — Contrastive CSI Embedding Model. ## Phases Delivered 1. ProjectionHead (64→128→128) + L2 normalization 2. CsiAugmenter (5 physically-motivated augmentations) 3. InfoNCE contrastive loss + SimCLR pretraining 4. FingerprintIndex (4 index types: env, activity, temporal, person) 5. RVF SEG_EMBED (0x0C) + CLI integration 6. Cross-modal alignment (PoseEncoder + InfoNCE) 7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA ## Stats - 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals) - 3,342 additions across 8 files - Zero unsafe/unwrap/panic/todo stubs - ~55KB INT8 model for ESP32 edge deployment Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers. Closes #50	2026-03-01 01:44:38 -05:00
ruv	3e06970428	feat: Training mode, ADR docs, vitals and wifiscan crates - Add --train CLI flag with dataset loading, graph transformer training, cosine-scheduled SGD, PCK/OKS validation, and checkpoint saving - Refactor main.rs to import training modules from lib.rs instead of duplicating mod declarations - Add ADR-021 (vital sign detection), ADR-022 (Windows WiFi enhanced fidelity), ADR-023 (trained DensePose pipeline) documentation - Add wifi-densepose-vitals crate: breathing, heartrate, anomaly detection, preprocessor, and temporal store - Add wifi-densepose-wifiscan crate: 8-stage signal intelligence pipeline with netsh/wlanapi adapters, multi-BSSID registry, attention weighting, spatial correlation, and breathing extraction Co-Authored-By: claude-flow <ruv@ruv.net>	2026-02-28 23:50:20 -05:00

Author

SHA1

Message

Date

ruv

e2320e8e4b

feat(wifiscan): add Rust macOS + Linux adapters, fix Python byte counters

- Add MacosCoreWlanScanner (macOS): CoreWLAN Swift helper adapter with
  synthetic BSSID generation via FNV-1a hash for redacted MACs (ADR-025)
- Add LinuxIwScanner (Linux): parses `iw dev <iface> scan` output with
  freq-to-channel conversion and BSS stanza parsing
- Both adapters produce Vec<BssidObservation> compatible with the
  existing WindowsWifiPipeline 8-stage processing
- Platform-gate modules with #[cfg(target_os)] so each adapter only
  compiles on its target OS
- Fix Python MacosWifiCollector: remove synthetic byte counters that
  produced misleading tx_bytes/rx_bytes data (set to 0)
- Add compiled Swift binary (mac_wifi) to .gitignore

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-03-01 10:51:45 -05:00

rUv

9bbe95648c

feat: ADR-024 Contrastive CSI Embedding Model — all 7 phases (#52 )

Full implementation of Project AETHER — Contrastive CSI Embedding Model.

## Phases Delivered
1. ProjectionHead (64→128→128) + L2 normalization
2. CsiAugmenter (5 physically-motivated augmentations)
3. InfoNCE contrastive loss + SimCLR pretraining
4. FingerprintIndex (4 index types: env, activity, temporal, person)
5. RVF SEG_EMBED (0x0C) + CLI integration
6. Cross-modal alignment (PoseEncoder + InfoNCE)
7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA

## Stats
- 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals)
- 3,342 additions across 8 files
- Zero unsafe/unwrap/panic/todo stubs
- ~55KB INT8 model for ESP32 edge deployment

Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers.

Closes #50

2026-03-01 01:44:38 -05:00

ruv

3e06970428

feat: Training mode, ADR docs, vitals and wifiscan crates

- Add --train CLI flag with dataset loading, graph transformer training,
  cosine-scheduled SGD, PCK/OKS validation, and checkpoint saving
- Refactor main.rs to import training modules from lib.rs instead of
  duplicating mod declarations
- Add ADR-021 (vital sign detection), ADR-022 (Windows WiFi enhanced
  fidelity), ADR-023 (trained DensePose pipeline) documentation
- Add wifi-densepose-vitals crate: breathing, heartrate, anomaly
  detection, preprocessor, and temporal store
- Add wifi-densepose-wifiscan crate: 8-stage signal intelligence
  pipeline with netsh/wlanapi adapters, multi-BSSID registry,
  attention weighting, spatial correlation, and breathing extraction

Co-Authored-By: claude-flow <ruv@ruv.net>

2026-02-28 23:50:20 -05:00

3 Commits