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rUv 9bbe95648c 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
2026-03-01 01:44:38 -05:00

43 lines
1.1 KiB
TOML

[package]
name = "wifi-densepose-vitals"
version.workspace = true
edition.workspace = true
description = "ESP32 CSI-grade vital sign extraction (ADR-021): heart rate and respiratory rate from WiFi Channel State Information"
license.workspace = true
authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
repository.workspace = true
documentation = "https://docs.rs/wifi-densepose-vitals"
keywords = ["wifi", "vital-signs", "breathing", "heart-rate", "csi"]
categories = ["science", "computer-vision"]
readme = "README.md"
[dependencies]
tracing.workspace = true
serde = { workspace = true, optional = true }
[dev-dependencies]
serde_json.workspace = true
[features]
default = ["serde"]
serde = ["dep:serde"]
[lints.rust]
unsafe_code = "forbid"
[lints.clippy]
all = "warn"
pedantic = "warn"
doc_markdown = "allow"
module_name_repetitions = "allow"
must_use_candidate = "allow"
missing_errors_doc = "allow"
missing_panics_doc = "allow"
cast_precision_loss = "allow"
cast_lossless = "allow"
cast_possible_truncation = "allow"
cast_sign_loss = "allow"
many_single_char_names = "allow"
uninlined_format_args = "allow"
assigning_clones = "allow"