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1fb5397ddf
Add archive/v1/DEPRECATED.md tombstone and a loud deprecation notice atop archive/v1/README.md: DensePoseHead is architecture-only (random kaiming_normal_ init, zero committed checkpoints under archive/v1/), superseded by the v2/ workspace and the wifi-densepose 2.x / ruview pip wheel. Add a 'Model weights: what's real, what's not' three-tier table to README.md and docs/user-guide.md distinguishing real+validated (presence 82.3%, MM-Fi pose 82.69% torso-PCK@20, count_v1), real-but-weak (committed pose_v1 at PCK@20=3.0%, runtime confidence=0 stub, below ADR-079 target), and architecture-only (archive/v1). Caveat the live single-ESP32 17-keypoint cog advertisement and answer #509 SISO / #1125. Refs #509, #1125
50 lines
3.0 KiB
Markdown
50 lines
3.0 KiB
Markdown
# ⚠️ DEPRECATED — `archive/v1` is unmaintained and superseded
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**Do not build new work on this tree.** `archive/v1` is the original pure-Python
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implementation of WiFi-DensePose. It is kept only as a research archive
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(per [ADR-117 §1.3](../../docs/adr/ADR-117-pip-wifi-densepose-modernization.md)) and
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as the host of one still-live deterministic proof (see "What still lives here" below).
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Everything else in this directory is frozen and receives no fixes, reviews, or support.
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Governed by [ADR-187](../../docs/adr/ADR-187-archive-v1-deprecation-honest-labeling.md).
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## The one honest fact that trips people up
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`archive/v1/src/models/densepose_head.py` defines a `DensePoseHead` neural-network
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architecture (segmentation + UV-regression heads). **It ships no trained weights.** Its
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`_initialize_weights()` uses `kaiming_normal_` **random initialization only** — there is
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no checkpoint-loading path in the class, and there are **zero** `.pth` / `.onnx` /
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`.safetensors` / `.pt` / `.ckpt` / `.bin` files anywhere under `archive/v1/`.
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So: the architecture is *defined*, but it is **architecture-only**. Running it produces
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random output, not real pose accuracy. This matches the technical review in
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[#509](https://github.com/ruvnet/RuView/issues/509) — for *this tree*, the "network
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defined, no pre-trained weights" observation is TRUE.
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Real, trained, benchmarked weights **do** exist — just not here. They live in the
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maintained `v2/` workspace and on Hugging Face (see next section).
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## Use the maintained path instead
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| You want… | Go here |
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|-----------|---------|
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| The maintained implementation | The **`v2/` Rust workspace** (repo root `../../v2/`) |
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| A pip install | `pip install ruview` **or** `pip install wifi-densepose` (2.x) — the compiled PyO3 wheel ([ADR-117](../../docs/adr/ADR-117-pip-wifi-densepose-modernization.md)). The `wifi-densepose` **1.x** line is tombstoned on PyPI: `1.99.0` raises an `ImportError` telling you to migrate. |
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| Real trained presence/encoder weights | [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) — 82.3% held-out temporal-triplet accuracy |
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| A real 17-keypoint pose model | [`ruvnet/wifi-densepose-mmfi-pose`](https://huggingface.co/ruvnet/wifi-densepose-mmfi-pose) — 82.69% torso-PCK@20 on MM-Fi `random_split` |
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| The honest three-tier weights picture | The "Model weights: what's real, what's not" table in the root [`README.md`](../../README.md) and [`docs/user-guide.md`](../../docs/user-guide.md) |
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## What still lives here (intentionally)
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Only one thing under `archive/v1/` is still a live, cited signal: the deterministic
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reference-pipeline proof —
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```bash
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python archive/v1/data/proof/verify.py # must print VERDICT: PASS
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```
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This is the ADR-028 "Trust Kill Switch": it feeds a fixed reference signal through the
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signal-processing pipeline and checks the SHA-256 of the output against a published hash.
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It is a legitimate reproducibility witness and is **not** deprecated. Everything else in
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this tree is.
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