⚠️ DEPRECATED

Do not build new work on this tree. archive/v1 is the original pure-Python implementation of WiFi-DensePose. It is kept only as a research archive (per ADR-117 §1.3) and as the host of one still-live deterministic proof (see "What still lives here" below). Everything else in this directory is frozen and receives no fixes, reviews, or support.

Governed by ADR-187.

The one honest fact that trips people up

archive/v1/src/models/densepose_head.py defines a DensePoseHead neural-network architecture (segmentation + UV-regression heads). It ships no trained weights. Its _initialize_weights() uses kaiming_normal_ random initialization only — there is no checkpoint-loading path in the class, and there are zero .pth / .onnx / .safetensors / .pt / .ckpt / .bin files anywhere under archive/v1/.

So: the architecture is defined, but it is architecture-only. Running it produces random output, not real pose accuracy. This matches the technical review in #509 — for this tree, the "network defined, no pre-trained weights" observation is TRUE.

Real, trained, benchmarked weights do exist — just not here. They live in the maintained v2/ workspace and on Hugging Face (see next section).

Use the maintained path instead

You want…	Go here
The maintained implementation	The v2/ Rust workspace (repo root ../../v2/)
A pip install	pip install ruview or pip install wifi-densepose (2.x) — the compiled PyO3 wheel (ADR-117). The wifi-densepose 1.x line is tombstoned on PyPI: 1.99.0 raises an ImportError telling you to migrate.
Real trained presence/encoder weights	ruvnet/wifi-densepose-pretrained — 82.3% held-out temporal-triplet accuracy
A real 17-keypoint pose model	ruvnet/wifi-densepose-mmfi-pose — 82.69% torso-PCK@20 on MM-Fi random_split
The honest three-tier weights picture	The "Model weights: what's real, what's not" table in the root README.md and docs/user-guide.md

What still lives here (intentionally)

Only one thing under archive/v1/ is still a live, cited signal: the deterministic reference-pipeline proof —

python archive/v1/data/proof/verify.py   # must print VERDICT: PASS

This is the ADR-028 "Trust Kill Switch": it feeds a fixed reference signal through the signal-processing pipeline and checks the SHA-256 of the output against a published hash. It is a legitimate reproducibility witness and is not deprecated. Everything else in this tree is.