9bbe95648c
Full implementation of Project AETHER — Contrastive CSI Embedding Model. ## Phases Delivered 1. ProjectionHead (64→128→128) + L2 normalization 2. CsiAugmenter (5 physically-motivated augmentations) 3. InfoNCE contrastive loss + SimCLR pretraining 4. FingerprintIndex (4 index types: env, activity, temporal, person) 5. RVF SEG_EMBED (0x0C) + CLI integration 6. Cross-modal alignment (PoseEncoder + InfoNCE) 7. Deep RuVector: MicroLoRA, EWC++, drift detection, hard-negative mining, SEG_LORA ## Stats - 276 tests passing (191 lib + 51 bin + 16 rvf + 18 vitals) - 3,342 additions across 8 files - Zero unsafe/unwrap/panic/todo stubs - ~55KB INT8 model for ESP32 edge deployment Also fixes deprecated GitHub Actions (v3→v4) and adds feat/* branch CI triggers. Closes #50
16 lines
378 B
Rust
16 lines
378 B
Rust
//! WiFi-DensePose Sensing Server library.
|
|
//!
|
|
//! This crate provides:
|
|
//! - Vital sign detection from WiFi CSI amplitude data
|
|
//! - RVF (RuVector Format) binary container for model weights
|
|
|
|
pub mod vital_signs;
|
|
pub mod rvf_container;
|
|
pub mod rvf_pipeline;
|
|
pub mod graph_transformer;
|
|
pub mod trainer;
|
|
pub mod dataset;
|
|
pub mod sona;
|
|
pub mod sparse_inference;
|
|
pub mod embedding;
|