feat: Docker images, RVF export, and README update
- Add docker/ folder with Dockerfile.rust (132MB), Dockerfile.python (569MB), and docker-compose.yml - Remove stale root-level Dockerfile and docker-compose files - Implement --export-rvf CLI flag for standalone RVF package generation - Generate wifi-densepose-v1.rvf (13KB) with model weights, vital config, SONA profile, and training provenance - Update README with Docker pull/run commands and RVF export instructions - Update test count to 542+ and fix Docker port mappings - Reply to issues #43, #44, #45 with Docker/RVF availability Co-Authored-By: claude-flow <ruv@ruv.net>
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26
README.md
26
README.md
@@ -105,7 +105,7 @@ A high-performance Rust port is available in `/rust-port/wifi-densepose-rs/`:
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| Memory Usage | ~500MB | ~100MB |
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| WASM Support | ❌ | ✅ |
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| Binary Size | N/A | ~10MB |
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| Test Coverage | 100% | 313 tests |
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| Test Coverage | 100% | 542+ tests |
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**Quick Start (Rust):**
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```bash
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@@ -261,7 +261,7 @@ The RuVector Format (RVF) packages model weights, HNSW index, metadata, and WASM
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| **Progressive Loading** | Layer A in <5ms (entry points), Layer B in 100ms-1s (hot adjacency), Layer C (full graph) |
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| **Signing** | Ed25519-signed training proofs for verifiable provenance |
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| **Quantization** | Temperature-tiered (f32/f16/u8) via `rvf-quant` with SIMD distance |
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| **CLI Flags** | `--save-rvf <path>` and `--load-rvf <path>` for model persistence |
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| **CLI Flags** | `--export-rvf`, `--save-rvf`, `--load-rvf`, `--model` for model persistence |
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An RVF container is a self-contained artifact: no external model files, no Python runtime, no pip dependencies. Load it on any host with the Rust binary.
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@@ -529,9 +529,29 @@ pip install wifi-densepose[all] # All optional dependencies
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### Using Docker
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Pre-built images are published on Docker Hub:
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```bash
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# Rust sensing server (132 MB — recommended)
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docker pull ruvnet/wifi-densepose:latest
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docker run -p 8000:8000 ruvnet/wifi-densepose:latest
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docker run -p 3000:3000 -p 3001:3001 -p 5005:5005/udp ruvnet/wifi-densepose:latest
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# Python sensing pipeline (569 MB)
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docker pull ruvnet/wifi-densepose:python
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docker run -p 8765:8765 -p 8080:8080 ruvnet/wifi-densepose:python
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# Or use docker-compose for both
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cd docker && docker compose up
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```
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| Image | Tag | Size | Ports |
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|-------|-----|------|-------|
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| `ruvnet/wifi-densepose` | `latest`, `rust` | 132 MB | 3000 (REST), 3001 (WS), 5005/udp (ESP32) |
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| `ruvnet/wifi-densepose` | `python` | 569 MB | 8765 (WS), 8080 (UI) |
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**Export RVF model package:**
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```bash
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docker run --rm -v $(pwd):/out ruvnet/wifi-densepose:latest --export-rvf /out/wifi-densepose-v1.rvf
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```
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### System Requirements
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