mirror of
https://github.com/ruvnet/RuView
synced 2026-07-29 18:31:44 +00:00
ruv
b2f9c8d28d
Bumped each crate to its next patch version above whatever was already
live on crates.io (several had drifted ahead of what this checkout's
Cargo.toml showed) and published:
wifi-densepose-core 0.3.2, -vitals 0.3.2, -wifiscan 0.3.2,
-hardware 0.3.2, -signal 0.3.6, -nn 0.3.2, -ruvector 0.3.3,
-train 0.3.3, -mat 0.3.2, -wasm 0.3.1 (workspace.package version).
wifi-densepose-signal's default `eigenvalue` feature pulls in
ndarray-linalg -> openblas-src, which needs vcpkg on native Windows;
verified+published with --no-default-features instead (the crate
already builds clean without it; nothing about the published tarball
changes based on the local verify build's feature flags).
wifi-densepose-sensing-server and wifi-densepose-cli were bumped
(0.3.5, 0.3.2) but NOT published: both path-depend on ruview-auth,
which is `publish = false` and not on crates.io, so `cargo publish`
correctly refuses them ("all dependencies must have a version
requirement"). Left as-is pending a decision on whether ruview-auth
should become publishable.
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