fc409dfd6a
Implement complete WiFi CSI-to-DensePose neural network pipeline: Phase 1 - Dataset loaders: .npy/.mat v5 parsers, MM-Fi + Wi-Pose loaders, subcarrier resampling (114->56, 30->56), DataPipeline Phase 2 - Graph transformer: COCO BodyGraph (17 kp, 16 edges), AntennaGraph, multi-head CrossAttention, GCN message passing, CsiToPoseTransformer full pipeline Phase 4 - Training loop: 6-term composite loss (MSE, cross-entropy, UV regression, temporal consistency, bone length, symmetry), SGD+momentum, cosine+warmup scheduler, PCK/OKS metrics, checkpoints Phase 5 - SONA adaptation: LoRA (rank-4, A*B delta), EWC++ Fisher regularization, EnvironmentDetector (3-sigma drift), temporal consistency loss Phase 6 - Sparse inference: NeuronProfiler hot/cold partitioning, SparseLinear (skip cold rows), INT8/FP16 quantization with <0.01 MSE, SparseModel engine, BenchmarkRunner Phase 7 - RVF pipeline: 6 new segment types (Index, Overlay, Crypto, WASM, Dashboard, AggregateWeights), HNSW index, OverlayGraph, RvfModelBuilder, ProgressiveLoader (3-layer: A=instant, B=hot, C=full) Phase 8 - Server integration: --model, --progressive CLI flags, 4 new REST endpoints, WebSocket pose_keypoints + model_status 229 tests passing (147 unit + 48 bin + 34 integration) Benchmark: 9,520 frames/sec (105μs/frame), 476x real-time at 20 Hz 7,832 lines of pure Rust, zero external ML dependencies Co-Authored-By: claude-flow <ruv@ruv.net>
139 lines
3.6 KiB
TOML
139 lines
3.6 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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]
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[workspace.package]
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version = "0.1.0"
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edition = "2021"
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authors = ["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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# ruvector integration (all at v2.0.4 — 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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# Internal crates
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wifi-densepose-core = { path = "crates/wifi-densepose-core" }
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wifi-densepose-signal = { path = "crates/wifi-densepose-signal" }
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wifi-densepose-nn = { path = "crates/wifi-densepose-nn" }
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wifi-densepose-api = { path = "crates/wifi-densepose-api" }
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wifi-densepose-db = { path = "crates/wifi-densepose-db" }
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wifi-densepose-config = { path = "crates/wifi-densepose-config" }
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wifi-densepose-hardware = { path = "crates/wifi-densepose-hardware" }
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wifi-densepose-wasm = { path = "crates/wifi-densepose-wasm" }
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wifi-densepose-mat = { path = "crates/wifi-densepose-mat" }
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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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