ruv
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e99a41434d
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chore: bump workspace to v0.3.0 and publish 15 crates to crates.io
- Workspace version: 0.2.0 → 0.3.0
- All internal path dependency versions updated
- ruvector-crv/gnn gated behind optional `crv` feature (removed [patch.crates-io])
- All 15 crates published to crates.io at v0.3.0
Published crates (in order):
1. wifi-densepose-core
2. wifi-densepose-vitals
3. wifi-densepose-wifiscan
4. wifi-densepose-hardware
5. wifi-densepose-config
6. wifi-densepose-db
7. wifi-densepose-signal
8. wifi-densepose-nn
9. wifi-densepose-ruvector
10. wifi-densepose-api
11. wifi-densepose-train
12. wifi-densepose-mat
13. wifi-densepose-wasm
14. wifi-densepose-sensing-server
15. wifi-densepose-cli
Co-Authored-By: claude-flow <ruv@ruv.net>
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2026-03-02 08:39:23 -05:00 |
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ruv
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3febf72674
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chore: bump all crates to v0.2.0 for MERIDIAN release
Workspace version 0.1.0 → 0.2.0. All internal cross-crate
dependencies updated to match.
Co-Authored-By: claude-flow <ruv@ruv.net>
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2026-03-01 12:14:39 -05:00 |
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rUv
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9bbe95648c
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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
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2026-03-01 01:44:38 -05:00 |
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Claude
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6b20ff0c14
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feat: Add wifi-Mat disaster detection enhancements
Implement 6 optional enhancements for the wifi-Mat module:
1. Hardware Integration (csi_receiver.rs + hardware_adapter.rs)
- ESP32 CSI support via serial/UDP
- Intel 5300 BFEE file parsing
- Atheros CSI Tool integration
- Live UDP packet streaming
- PCAP replay capability
2. CLI Commands (wifi-densepose-cli/src/mat.rs)
- `wifi-mat scan` - Run disaster detection scan
- `wifi-mat status` - Check event status
- `wifi-mat zones` - Manage scan zones
- `wifi-mat survivors` - List detected survivors
- `wifi-mat alerts` - View and acknowledge alerts
- `wifi-mat export` - Export data in various formats
3. REST API (wifi-densepose-mat/src/api/)
- Full CRUD for disaster events
- Zone management endpoints
- Survivor and alert queries
- WebSocket streaming for real-time updates
- Comprehensive DTOs and error handling
4. WASM Build (wifi-densepose-wasm/src/mat.rs)
- Browser-based disaster dashboard
- Real-time survivor tracking
- Zone visualization
- Alert management
- JavaScript API bindings
5. Detection Benchmarks (benches/detection_bench.rs)
- Single survivor detection
- Multi-survivor detection
- Full pipeline benchmarks
- Signal processing benchmarks
- Hardware adapter benchmarks
6. ML Models for Debris Penetration (ml/)
- DebrisModel for material analysis
- VitalSignsClassifier for triage
- FFT-based feature extraction
- Bandpass filtering
- Monte Carlo dropout for uncertainty
All 134 unit tests pass. Compilation verified for:
- wifi-densepose-mat
- wifi-densepose-cli
- wifi-densepose-wasm (with mat feature)
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2026-01-13 18:23:03 +00:00 |
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Claude
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6ed69a3d48
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feat: Complete Rust port of WiFi-DensePose with modular crates
Major changes:
- Organized Python v1 implementation into v1/ subdirectory
- Created Rust workspace with 9 modular crates:
- wifi-densepose-core: Core types, traits, errors
- wifi-densepose-signal: CSI processing, phase sanitization, FFT
- wifi-densepose-nn: Neural network inference (ONNX/Candle/tch)
- wifi-densepose-api: Axum-based REST/WebSocket API
- wifi-densepose-db: SQLx database layer
- wifi-densepose-config: Configuration management
- wifi-densepose-hardware: Hardware abstraction
- wifi-densepose-wasm: WebAssembly bindings
- wifi-densepose-cli: Command-line interface
Documentation:
- ADR-001: Workspace structure
- ADR-002: Signal processing library selection
- ADR-003: Neural network inference strategy
- DDD domain model with bounded contexts
Testing:
- 69 tests passing across all crates
- Signal processing: 45 tests
- Neural networks: 21 tests
- Core: 3 doc tests
Performance targets:
- 10x faster CSI processing (~0.5ms vs ~5ms)
- 5x lower memory usage (~100MB vs ~500MB)
- WASM support for browser deployment
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2026-01-13 03:11:16 +00:00 |
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