6ed69a3d48
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
27 lines
629 B
TOML
27 lines
629 B
TOML
[package]
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name = "wifi-densepose-signal"
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version.workspace = true
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edition.workspace = true
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description = "WiFi CSI signal processing for DensePose estimation"
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license.workspace = true
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[dependencies]
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# Core utilities
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thiserror.workspace = true
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serde = { workspace = true }
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serde_json.workspace = true
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chrono = { version = "0.4", features = ["serde"] }
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# Signal processing
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ndarray = { workspace = true }
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rustfft.workspace = true
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num-complex.workspace = true
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num-traits.workspace = true
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# Internal
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wifi-densepose-core = { path = "../wifi-densepose-core" }
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[dev-dependencies]
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criterion.workspace = true
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proptest.workspace = true
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