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https://github.com/ruvnet/RuView
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ruv
7a0158c44d
New crate wifi-densepose-calibration implementing the per-room pipeline beyond Stage-1 baseline: - anchor.rs: guided-anchor sequence + event-sourced EnrollmentSession (Stage 2) - enrollment.rs: AnchorQualityGate + AnchorRecorder — gates anchors against the ADR-135 baseline deviation (presence/motion), re-prompts bad captures - extract.rs: Features + AnchorFeature — autocorrelation periodicity (breathing/ HR bands), variance/motion (Stage 3) - specialist.rs: 6 small room-calibrated models — presence (learned threshold), posture (nearest-prototype), breathing/heartbeat (band periodicity), restlessness (calm/active normalization), anomaly (novelty vs anchors) (Stage 4) - bank.rs: SpecialistBank — train/persist + baseline-drift STALE invalidation - runtime.rs: MixtureOfSpecialists — presence short-circuit + anomaly veto + stale flagging (Stage 5) Statistical heads make the pipeline runnable/validatable today; the ADR-150 HF RF Foundation Encoder backbone is the documented upgrade path. 29 unit tests pass. Co-Authored-By: claude-flow <ruv@ruv.net>
22 lines
681 B
TOML
22 lines
681 B
TOML
[package]
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name = "wifi-densepose-calibration"
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version.workspace = true
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edition.workspace = true
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description = "ADR-151 per-room calibration & specialized model training (baseline → enroll → extract → train)"
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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[dependencies]
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wifi-densepose-core = { workspace = true }
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wifi-densepose-signal = { version = "0.3.0", path = "../wifi-densepose-signal", default-features = false }
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serde = { workspace = true }
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serde_json = "1.0"
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thiserror = { workspace = true }
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uuid = { version = "1.6", features = ["v4", "serde"] }
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[dev-dependencies]
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ndarray = { workspace = true }
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num-complex = { workspace = true }
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