Claude
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81ad09d05b
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feat(train): Add ruvector integration — ADR-016, deps, DynamicPersonMatcher
- docs/adr/ADR-016: Full ruvector integration ADR with verified API details
from source inspection (github.com/ruvnet/ruvector). Covers mincut,
attn-mincut, temporal-tensor, solver, and attention at v2.0.4.
- Cargo.toml: Add ruvector-mincut, ruvector-attn-mincut, ruvector-temporal-
tensor, ruvector-solver, ruvector-attention = "2.0.4" to workspace deps
and wifi-densepose-train crate deps.
- metrics.rs: Add DynamicPersonMatcher wrapping ruvector_mincut::DynamicMinCut
for subpolynomial O(n^1.5 log n) multi-frame person tracking; adds
assignment_mincut() public entry point.
- proof.rs, trainer.rs, model.rs, dataset.rs, subcarrier.rs: Agent
improvements to full implementations (loss decrease verification, SHA-256
hash, LCG shuffle, ResNet18 backbone, MmFiDataset, linear interp).
- tests: test_config, test_dataset, test_metrics, test_proof, training_bench
all added/updated. 100+ tests pass with no-default-features.
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
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2026-02-28 15:42:10 +00:00 |
|
Claude
|
2c5ca308a4
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feat(rust): Add workspace deps, tests, and refine training modules
- Cargo.toml: Add wifi-densepose-train to workspace members; add
petgraph, ndarray-npy, walkdir, sha2, csv, indicatif, clap to
workspace dependencies
- error.rs: Slim down to focused error types (TrainError, DatasetError)
- lib.rs: Wire up all module re-exports correctly
- losses.rs: Add generate_gaussian_heatmaps implementation
- tests/test_config.rs: Deterministic config roundtrip and validation tests
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
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2026-02-28 15:17:17 +00:00 |
|
Claude
|
a17b630c02
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feat: Add wifi-densepose-mat disaster detection module
Implements WiFi-Mat (Mass Casualty Assessment Tool) for detecting and
localizing survivors trapped in rubble, earthquakes, and natural disasters.
Architecture:
- Domain-Driven Design with bounded contexts (Detection, Localization, Alerting)
- Modular Rust crate integrating with existing wifi-densepose-* crates
- Event-driven architecture for audit trails and distributed deployments
Features:
- Breathing pattern detection from CSI amplitude variations
- Heartbeat detection using micro-Doppler analysis
- Movement classification (gross, fine, tremor, periodic)
- START protocol-compatible triage classification
- 3D position estimation via triangulation and depth estimation
- Real-time alert generation with priority escalation
Documentation:
- ADR-001: Architecture Decision Record for wifi-Mat
- DDD domain model specification
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2026-01-13 17:24:50 +00:00 |
|
Claude
|
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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