feat: ADR-024 Contrastive CSI Embedding Model — all 7 phases (#52)

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
This commit was merged in pull request #52.
This commit is contained in:
rUv
2026-03-01 01:44:38 -05:00
committed by GitHub
parent 44b9c30dbc
commit 9bbe95648c
39 changed files with 5136 additions and 68 deletions

View File

@@ -2,12 +2,14 @@
name = "wifi-densepose-mat"
version = "0.1.0"
edition = "2021"
authors = ["WiFi-DensePose Team"]
authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
description = "Mass Casualty Assessment Tool - WiFi-based disaster survivor detection"
license = "MIT OR Apache-2.0"
repository = "https://github.com/ruvnet/wifi-densepose"
documentation = "https://docs.rs/wifi-densepose-mat"
keywords = ["wifi", "disaster", "rescue", "detection", "vital-signs"]
categories = ["science", "algorithms"]
readme = "README.md"
[features]
default = ["std", "api", "ruvector"]
@@ -22,9 +24,9 @@ serde = ["dep:serde", "chrono/serde", "geo/use-serde"]
[dependencies]
# Workspace dependencies
wifi-densepose-core = { path = "../wifi-densepose-core" }
wifi-densepose-signal = { path = "../wifi-densepose-signal" }
wifi-densepose-nn = { path = "../wifi-densepose-nn" }
wifi-densepose-core = { version = "0.1.0", path = "../wifi-densepose-core" }
wifi-densepose-signal = { version = "0.1.0", path = "../wifi-densepose-signal" }
wifi-densepose-nn = { version = "0.1.0", path = "../wifi-densepose-nn" }
ruvector-solver = { workspace = true, optional = true }
ruvector-temporal-tensor = { workspace = true, optional = true }