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The Rust port lived two directories deep (rust-port/wifi-densepose-rs/) without any sibling under rust-port/ that warranted the extra level. Move the whole workspace up to v2/ to match v1/ (Python) at the same depth and shorten every cd / build command across the repo. git mv preserves history for all tracked files. 60 files updated for path references (CI workflows, ADRs, docs, scripts, READMEs, internal .claude-flow state). Two manual fixes for relative-cd paths in CLAUDE.md and ADR-043 that became wrong after the depth change (cd ../.. → cd ..). Validated: - cargo check --workspace --no-default-features → clean (after target/ nuke; the gitignored target/ was carried by the OS rename and had hard-coded old paths in build scripts) - cargo test --workspace --no-default-features → 1,539 passed, 0 failed, 8 ignored (same totals as pre-rename) - ESP32-S3 on COM7 → still streaming live CSI (cb #40300, RSSI -64 dBm) After-merge follow-up: contributors should `rm -rf v2/target` once and let cargo regenerate from the new path.
84 lines
3.1 KiB
Markdown
84 lines
3.1 KiB
Markdown
# wifi-densepose-core
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[](https://crates.io/crates/wifi-densepose-core)
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[](https://docs.rs/wifi-densepose-core)
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[](LICENSE)
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Core types, traits, and utilities for the WiFi-DensePose pose estimation system.
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## Overview
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`wifi-densepose-core` is the foundation crate for the WiFi-DensePose workspace. It defines the
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shared data structures, error types, and trait contracts used by every other crate in the
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ecosystem. The crate is `no_std`-compatible (with the `std` feature disabled) and forbids all
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unsafe code.
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## Features
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- **Core data types** -- `CsiFrame`, `ProcessedSignal`, `PoseEstimate`, `PersonPose`, `Keypoint`,
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`KeypointType`, `BoundingBox`, `Confidence`, `Timestamp`, and more.
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- **Trait abstractions** -- `SignalProcessor`, `NeuralInference`, and `DataStore` define the
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contracts for signal processing, neural network inference, and data persistence respectively.
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- **Error hierarchy** -- `CoreError`, `SignalError`, `InferenceError`, and `StorageError` provide
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typed error handling across subsystem boundaries.
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- **`no_std` support** -- Disable the default `std` feature for embedded or WASM targets.
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- **Constants** -- `MAX_KEYPOINTS` (17, COCO format), `MAX_SUBCARRIERS` (256),
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`DEFAULT_CONFIDENCE_THRESHOLD` (0.5).
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### Feature flags
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| Flag | Default | Description |
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|---------|---------|--------------------------------------------|
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| `std` | yes | Enable standard library support |
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| `serde` | no | Serialization via serde (+ ndarray serde) |
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| `async` | no | Async trait definitions via `async-trait` |
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## Quick Start
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```rust
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use wifi_densepose_core::{CsiFrame, Keypoint, KeypointType, Confidence};
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// Create a keypoint with high confidence
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let keypoint = Keypoint::new(
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KeypointType::Nose,
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0.5,
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0.3,
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Confidence::new(0.95).unwrap(),
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);
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assert!(keypoint.is_visible());
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```
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Or use the prelude for convenient bulk imports:
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```rust
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use wifi_densepose_core::prelude::*;
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```
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## Architecture
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```text
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wifi-densepose-core/src/
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lib.rs -- Re-exports, constants, prelude
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types.rs -- CsiFrame, PoseEstimate, Keypoint, etc.
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traits.rs -- SignalProcessor, NeuralInference, DataStore
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error.rs -- CoreError, SignalError, InferenceError, StorageError
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utils.rs -- Shared helper functions
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```
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## Related Crates
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| Crate | Role |
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|-------|------|
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| [`wifi-densepose-signal`](../wifi-densepose-signal) | CSI signal processing algorithms |
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| [`wifi-densepose-nn`](../wifi-densepose-nn) | Neural network inference backends |
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| [`wifi-densepose-train`](../wifi-densepose-train) | Training pipeline with ruvector |
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| [`wifi-densepose-mat`](../wifi-densepose-mat) | Disaster detection (MAT) |
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| [`wifi-densepose-hardware`](../wifi-densepose-hardware) | Hardware sensor interfaces |
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| [`wifi-densepose-vitals`](../wifi-densepose-vitals) | Vital sign extraction |
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| [`wifi-densepose-wifiscan`](../wifi-densepose-wifiscan) | Multi-BSSID WiFi scanning |
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## License
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MIT OR Apache-2.0
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