60e0e6d3c4
Implement full CRV (Coordinate Remote Viewing) signal-line protocol mapping to WiFi CSI sensing via ruvector-crv: - Stage I: CsiGestaltClassifier (6 gestalt types from amplitude/phase) - Stage II: CsiSensoryEncoder (texture/color/temperature/sound/luminosity/dimension) - Stage III: Mesh topology encoding (AP nodes/links → GNN graph) - Stage IV: Coherence gate → AOL detection (signal vs noise separation) - Stage V: Pose interrogation via differentiable search - Stage VI: Person partitioning via MinCut clustering - Cross-session convergence for cross-room identity New files: - crv/mod.rs: 1,430 lines, 43 tests - crv_bench.rs: 8 criterion benchmarks (gestalt, sensory, pipeline, convergence) - ADR-033: 740-line architecture decision with 30+ acceptance criteria - patches/ruvector-crv: Fix ruvector-gnn 2.0.5 API mismatch Dependencies: ruvector-crv 0.1.1, ruvector-gnn 2.0.5 Co-Authored-By: claude-flow <ruv@ruv.net>
154 lines
4.4 KiB
TOML
154 lines
4.4 KiB
TOML
[workspace]
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resolver = "2"
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members = [
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"crates/wifi-densepose-core",
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"crates/wifi-densepose-signal",
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"crates/wifi-densepose-nn",
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"crates/wifi-densepose-api",
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"crates/wifi-densepose-db",
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"crates/wifi-densepose-config",
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"crates/wifi-densepose-hardware",
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"crates/wifi-densepose-wasm",
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"crates/wifi-densepose-cli",
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"crates/wifi-densepose-mat",
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"crates/wifi-densepose-train",
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"crates/wifi-densepose-sensing-server",
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"crates/wifi-densepose-wifiscan",
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"crates/wifi-densepose-vitals",
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"crates/wifi-densepose-ruvector",
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]
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[workspace.package]
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version = "0.2.0"
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edition = "2021"
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authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
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license = "MIT OR Apache-2.0"
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repository = "https://github.com/ruvnet/wifi-densepose"
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documentation = "https://docs.rs/wifi-densepose"
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keywords = ["wifi", "densepose", "csi", "pose-estimation", "rust"]
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categories = ["science", "computer-vision", "wasm"]
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[workspace.dependencies]
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# Core utilities
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thiserror = "1.0"
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anyhow = "1.0"
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serde = { version = "1.0", features = ["derive"] }
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serde_json = "1.0"
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serde_yaml = "0.9"
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tokio = { version = "1.35", features = ["full"] }
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tracing = "0.1"
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tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
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# Signal processing
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ndarray = { version = "0.15", features = ["serde"] }
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ndarray-linalg = { version = "0.16", features = ["openblas-static"] }
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rustfft = "6.1"
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num-complex = "0.4"
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num-traits = "0.2"
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# Neural network
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tch = "0.14"
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ort = { version = "2.0.0-rc.11" }
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candle-core = "0.4"
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candle-nn = "0.4"
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# Web framework
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axum = { version = "0.7", features = ["ws", "macros"] }
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tower = { version = "0.4", features = ["full"] }
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tower-http = { version = "0.5", features = ["cors", "trace", "compression-gzip"] }
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hyper = { version = "1.1", features = ["full"] }
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# Database
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sqlx = { version = "0.7", features = ["runtime-tokio", "postgres", "sqlite", "uuid", "chrono", "json"] }
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redis = { version = "0.24", features = ["tokio-comp", "connection-manager"] }
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# Configuration
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config = "0.14"
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dotenvy = "0.15"
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envy = "0.4"
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# WASM
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wasm-bindgen = "0.2"
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wasm-bindgen-futures = "0.4"
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js-sys = "0.3"
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web-sys = { version = "0.3", features = ["console", "Window", "WebSocket"] }
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getrandom = { version = "0.2", features = ["js"] }
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# Hardware
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serialport = "4.3"
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pcap = "1.1"
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# Graph algorithms (for min-cut assignment in metrics)
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petgraph = "0.6"
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# Data loading
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ndarray-npy = "0.8"
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walkdir = "2.4"
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# Hashing (for proof)
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sha2 = "0.10"
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# CSV logging
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csv = "1.3"
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# Progress bars
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indicatif = "0.17"
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# CLI
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clap = { version = "4.4", features = ["derive"] }
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# Testing
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criterion = { version = "0.5", features = ["html_reports"] }
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proptest = "1.4"
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mockall = "0.12"
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wiremock = "0.5"
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# midstreamer integration (published on crates.io)
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midstreamer-quic = "0.1.0"
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midstreamer-scheduler = "0.1.0"
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midstreamer-temporal-compare = "0.1.0"
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midstreamer-attractor = "0.1.0"
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# ruvector integration (published on crates.io)
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ruvector-mincut = "2.0.4"
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ruvector-attn-mincut = "2.0.4"
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ruvector-temporal-tensor = "2.0.4"
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ruvector-solver = "2.0.4"
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ruvector-attention = "2.0.4"
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ruvector-crv = "0.1.1"
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ruvector-gnn = { version = "2.0.5", default-features = false }
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# Internal crates
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wifi-densepose-core = { version = "0.2.0", path = "crates/wifi-densepose-core" }
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wifi-densepose-signal = { version = "0.2.0", path = "crates/wifi-densepose-signal" }
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wifi-densepose-nn = { version = "0.2.0", path = "crates/wifi-densepose-nn" }
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wifi-densepose-api = { version = "0.2.0", path = "crates/wifi-densepose-api" }
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wifi-densepose-db = { version = "0.2.0", path = "crates/wifi-densepose-db" }
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wifi-densepose-config = { version = "0.2.0", path = "crates/wifi-densepose-config" }
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wifi-densepose-hardware = { version = "0.2.0", path = "crates/wifi-densepose-hardware" }
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wifi-densepose-wasm = { version = "0.2.0", path = "crates/wifi-densepose-wasm" }
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wifi-densepose-mat = { version = "0.2.0", path = "crates/wifi-densepose-mat" }
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wifi-densepose-ruvector = { version = "0.2.0", path = "crates/wifi-densepose-ruvector" }
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# Patch ruvector-crv to fix RuvectorLayer::new() Result API mismatch
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# with ruvector-gnn 2.0.5 (upstream ruvector-crv 0.1.1 was built against 2.0.1).
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[patch.crates-io]
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ruvector-crv = { path = "patches/ruvector-crv" }
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[profile.release]
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lto = true
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codegen-units = 1
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panic = "abort"
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strip = true
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opt-level = 3
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[profile.release-with-debug]
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inherits = "release"
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debug = true
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strip = false
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[profile.bench]
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inherits = "release"
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debug = true
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