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.
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@@ -6,6 +6,10 @@ description = "CLI for WiFi-DensePose"
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authors.workspace = true
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license.workspace = true
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repository.workspace = true
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documentation = "https://docs.rs/wifi-densepose-cli"
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keywords = ["wifi", "cli", "densepose", "disaster", "detection"]
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categories = ["command-line-utilities", "science"]
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readme = "README.md"
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[[bin]]
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name = "wifi-densepose"
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@@ -17,7 +21,7 @@ mat = []
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[dependencies]
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# Internal crates
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wifi-densepose-mat = { path = "../wifi-densepose-mat" }
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wifi-densepose-mat = { version = "0.1.0", path = "../wifi-densepose-mat" }
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# CLI framework
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clap = { version = "4.4", features = ["derive", "env", "cargo"] }
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