wifi-densepose/v2/crates/wifi-densepose-core
zed b7233c4dff @
fix(ui): repair sensing UI — OrbitControls import, WebSocket port, toast null container (#760)

Fix three bugs that prevented all live data visualization in the sensing UI:
- Bug 1: Replace CDN OrbitControls with ES module import (Three.js r160 removed examples/js/)
- Bug 2: Correct WebSocket URL from localhost:8000/ws/pose to localhost:3001/ws/sensing
- Bug 3: Guard ToastManager.show() against null container (init() called after show())

Also fix --no-default-features compilation for wifi-densepose-core by adding
conditional alloc imports and replacing std:: references with core:: equivalents.

Co-Authored-By: claude-flow <ruv@ruv.net>
@
2026-05-23 19:09:28 +08:00
..
src @ 2026-05-23 19:09:28 +08:00
Cargo.toml chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00
README.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00

README.md

wifi-densepose-core

Crates.io Documentation License

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, and DataStore define the contracts for signal processing, neural network inference, and data persistence respectively.
  • Error hierarchy -- CoreError, SignalError, InferenceError, and StorageError provide typed error handling across subsystem boundaries.
  • no_std support -- Disable the default std feature 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
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