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- sensing-server: engine errors logged+counted (no silent swallow), trust state exposed via status surface, privacy-demotion claims aligned with the actual parallel-audit-path behavior - occupancy_bench: vacuous-F1 hole closed (degenerate test sets fail with their own criterion); CI-lower-bound test made probative - mesh_guard: quantization scaled to observed coupling range — >=65-node balanced meshes no longer permanently at_risk (regression test) - engine: both wiring tests made probative (same-topology witness compare, deterministic risk-crossing fixture) - mat: axum/tokio optional behind api; real serde feature (api enables it) - core: canonical decoder strict (non-zero reserved bytes and nil UUID rejected — injective on accepted domain, forged-bytes tests) - CHANGELOG: un-spliced the FFT/adapter bullet mangle Co-Authored-By: claude-flow <ruv@ruv.net>
wifi-densepose-core
Core types, traits, and utilities for the WiFi-DensePose pose estimation system.
Overview
wifi-densepose-core is the foundation crate for the WiFi-DensePose workspace. It defines the
shared data structures, error types, and trait contracts used by every other crate in the
ecosystem. The crate is no_std-compatible (with the std feature disabled) and forbids all
unsafe code.
Features
- Core data types --
CsiFrame,ProcessedSignal,PoseEstimate,PersonPose,Keypoint,KeypointType,BoundingBox,Confidence,Timestamp, and more. - Trait abstractions --
SignalProcessor,NeuralInference, andDataStoredefine the contracts for signal processing, neural network inference, and data persistence respectively. - Error hierarchy --
CoreError,SignalError,InferenceError, andStorageErrorprovide typed error handling across subsystem boundaries. no_stdsupport -- Disable the defaultstdfeature for embedded or WASM targets.- Constants --
MAX_KEYPOINTS(17, COCO format),MAX_SUBCARRIERS(256),DEFAULT_CONFIDENCE_THRESHOLD(0.5).
Feature flags
| Flag | Default | Description |
|---|---|---|
std |
yes | Enable standard library support |
serde |
no | Serialization via serde (+ ndarray serde) |
async |
no | Async trait definitions via async-trait |
Quick Start
use wifi_densepose_core::{CsiFrame, Keypoint, KeypointType, Confidence};
// Create a keypoint with high confidence
let keypoint = Keypoint::new(
KeypointType::Nose,
0.5,
0.3,
Confidence::new(0.95).unwrap(),
);
assert!(keypoint.is_visible());
Or use the prelude for convenient bulk imports:
use wifi_densepose_core::prelude::*;
Architecture
wifi-densepose-core/src/
lib.rs -- Re-exports, constants, prelude
types.rs -- CsiFrame, PoseEstimate, Keypoint, etc.
traits.rs -- SignalProcessor, NeuralInference, DataStore
error.rs -- CoreError, SignalError, InferenceError, StorageError
utils.rs -- Shared helper functions
Related Crates
| Crate | Role |
|---|---|
wifi-densepose-signal |
CSI signal processing algorithms |
wifi-densepose-nn |
Neural network inference backends |
wifi-densepose-train |
Training pipeline with ruvector |
wifi-densepose-mat |
Disaster detection (MAT) |
wifi-densepose-hardware |
Hardware sensor interfaces |
wifi-densepose-vitals |
Vital sign extraction |
wifi-densepose-wifiscan |
Multi-BSSID WiFi scanning |
License
MIT OR Apache-2.0