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ruvnet--RuView/v2/Cargo.toml
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rUv 6959a42312 feat(cog-person-count): v0.0.1 scaffold + tests + fusion math + bench (ADR-103) (#694) 
First implementation PR for ADR-103. Same incremental shape that
ADR-101 used: scaffold the cog crate, ship a stub-backend release
that satisfies the runtime contract + 15 tests + measured cold-start,
then follow up with the trained count_v1.safetensors in a separate PR.

What ships:

* v2/crates/cog-person-count/ — new workspace member.
    - Cargo.toml: candle-core/candle-nn 0.9 (cpu default, cuda feature
      opt-in), safetensors, ureq, sha2 — same dep shape as the pose cog
      but minus wifi-densepose-train (this cog has no training-side
      consumer, so the dep tree is materially smaller → 2.36 MB
      binary vs the pose cog's 4.5 MB).
    - src/inference.rs: CountNet (Conv1d 56→64→128→128 encoder + count
      head Linear(128→64→8)+softmax + confidence head
      Linear(128→32→1)+sigmoid). Stub backend returns
      `{1-person, 0-confidence}` honestly when no safetensors present.
    - src/fusion.rs: fuse_confidence_weighted() — Bayesian product of
      per-node distributions with confidence-weighted log-sum, plus
      fuse_with_mincut_clip() hook for the v0.2.0 Stoer-Wagner
      upper-bound (`ruvector-mincut` dep lands when min-cut graph
      builder is ready). Confidences floored at 1e-3 and probs floored
      at 1e-9 before logs — no NaN propagation.
    - src/publisher.rs: emits {count, confidence, count_p95_low,
      count_p95_high, n_nodes, probs} per ADR-103 §"Output".
    - src/main.rs: full ADR-100 four-verb CLI (version|manifest|health
      |run). The `run` subcommand explicitly returns "wiring pending
      v0.0.1" so the in-process library API is the v0.0.1-clean
      integration path.
    - tests/smoke.rs (8 tests) + fusion::tests (7 tests, in-lib) — 15
      total, all green. Cover stub-backend behaviour, wrong-shape
      rejection, fusion math (empty / single / agreement / high-conf
      override / normalisation), p95-range correctness, and min-cut
      clip semantics.
    - cog/{manifest.template.json, config.schema.json, README.md} +
      cog/artifacts/ placeholder dir.

* v2/Cargo.toml: registers the new workspace member.

Verified locally:

  cargo check -p cog-person-count --no-default-features    → clean
  cargo test  -p cog-person-count --no-default-features    → 8/8 pass
  cargo test  -p cog-person-count --lib                    → 7/7 pass
  cargo build -p cog-person-count --release                → 2.36 MB binary
  ./cog-person-count version                               → "person-count 0.3.0"
  ./cog-person-count manifest                              → JSON skeleton
  ./cog-person-count health                                → backend:stub,
                                                              count:1, conf:0,
                                                              p95:[1,1]
  Cold-start: 30 sequential `health` invocations → 53.3 ms/invocation
              (vs cog-pose-estimation's 76.2 ms — smaller dep tree)

cog/README.md adds:

* Security section — six-row threat table covering safetensor mmap
  trust, non-finite outputs, sensing fetch failures, fusion
  divide-by-zero / log-of-zero, min-cut degenerate cases, and stdout
  spoofing.
* Performance / optimization section — binary size, release profile
  (already opt-level=3 / lto=fat / codegen-units=1 / strip=true at
  workspace level), cold-start comparison table, projected warm-path
  latency budget.

Still pending (separate PRs, ADR-103 §"Migration"):

* Train count_v1.safetensors on the existing 1,077 paired samples
  with `n_persons` labels (Candle on RTX 5080, same script that
  produced pose_v1.safetensors yesterday).
* `run` subcommand wiring (long-running polling loop, same shape as
  cog-pose-estimation::runtime).
* Cross-compile + sign + GCS upload (mirror of cog-pose-estimation
  release pipeline).
* Server-side `csi.rs::score_to_person_count` call-site rewire to
  consume this cog when installed; falls back to PR #491's heuristic
  when not.
2026-05-21 18:46:57 -04:00

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[workspace]
resolver = "2"
members = [
"crates/wifi-densepose-core",
"crates/wifi-densepose-signal",
"crates/wifi-densepose-nn",
# wifi-densepose-api / -db / -config: removed in #578.
# The crate names were reserved early for an envisioned REST/database/config
# split, but no implementation followed and no code referenced them. The
# functionality they would provide is covered today by:
# - REST/WS: `wifi-densepose-sensing-server` (Axum)
# - Config: per-crate config + CLI args in `wifi-densepose-sensing-server`
# and `wifi-densepose-desktop`
# - DB: no persistent state; system is real-time
# If we ever need any of these as a published surface, they can be
# reintroduced with a real implementation.
"crates/wifi-densepose-hardware",
"crates/wifi-densepose-wasm",
"crates/wifi-densepose-cli",
"crates/wifi-densepose-mat",
"crates/wifi-densepose-train",
"crates/wifi-densepose-sensing-server",
"crates/wifi-densepose-wifiscan",
"crates/wifi-densepose-vitals",
"crates/wifi-densepose-ruvector",
"crates/wifi-densepose-desktop",
"crates/wifi-densepose-pointcloud",
"crates/wifi-densepose-geo",
"crates/nvsim",
"crates/nvsim-server",
# ADR-100/ADR-101: Cognitum Cog packaging — first Cog from this repo.
# Ships the wifi-densepose pose-estimation model as a signed binary +
# JSONL manifest installable by the Cognitum V0 appliance (cognitum-v0,
# cognitum-cluster-*, ruvultra). The companion appliance-side crate
# lives in cognitum-one/v0-appliance as `cognitum-pose-estimation`.
"crates/cog-pose-estimation",
# ADR-103: Learned multi-person counter (SOTA path) — replaces the
# PR #491 slot heuristic with a Candle network + Stoer-Wagner fusion.
# Motivated by #499 ghost-skeleton reports.
"crates/cog-person-count",
# rvCSI — edge RF sensing runtime (ADR-095 platform, ADR-096 FFI/crate layout):
# lives in its own repo (https://github.com/ruvnet/rvcsi), vendored here as
# `vendor/rvcsi` and published to crates.io as `rvcsi-*` 0.3.x. Depend on the
# published crates (or the submodule's `crates/rvcsi-*` paths) — not as v2
# workspace members, since `vendor/rvcsi/Cargo.toml` is its own workspace.
]
# ADR-040: WASM edge crate targets wasm32-unknown-unknown (no_std),
# excluded from workspace to avoid breaking `cargo test --workspace`.
# Build separately: cargo build -p wifi-densepose-wasm-edge --target wasm32-unknown-unknown --release
exclude = [
"crates/wifi-densepose-wasm-edge",
]
[workspace.package]
version = "0.3.0"
edition = "2021"
authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
license = "MIT OR Apache-2.0"
repository = "https://github.com/ruvnet/wifi-densepose"
documentation = "https://docs.rs/wifi-densepose"
keywords = ["wifi", "densepose", "csi", "pose-estimation", "rust"]
categories = ["science", "computer-vision", "wasm"]
[workspace.dependencies]
# Core utilities
thiserror = "2.0"
anyhow = "1.0"
serde = { version = "1.0", features = ["derive"] }
serde_json = "1.0"
serde_yaml = "0.9"
tokio = { version = "1.35", features = ["full"] }
tracing = "0.1"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
# Signal processing
ndarray = { version = "0.17", features = ["serde"] }
ndarray-linalg = { version = "0.18", features = ["openblas-static"] }
rustfft = "6.1"
num-complex = "0.4"
num-traits = "0.2"
# Neural network
tch = "0.24"
ort = { version = "2.0.0-rc.11" }
candle-core = "0.4"
candle-nn = "0.4"
# Web framework
axum = { version = "0.7", features = ["ws", "macros"] }
tower = { version = "0.4", features = ["full"] }
tower-http = { version = "0.6", features = ["cors", "trace", "compression-gzip"] }
hyper = { version = "1.1", features = ["full"] }
# Database
sqlx = { version = "0.7", features = ["runtime-tokio", "postgres", "sqlite", "uuid", "chrono", "json"] }
redis = { version = "0.24", features = ["tokio-comp", "connection-manager"] }
# Configuration
config = "0.14"
dotenvy = "0.15"
envy = "0.4"
# WASM
wasm-bindgen = "0.2"
wasm-bindgen-futures = "0.4"
js-sys = "0.3"
web-sys = { version = "0.3", features = ["console", "Window", "WebSocket"] }
getrandom = { version = "0.2", features = ["js"] }
# Hardware
serialport = "4.3"
pcap = "1.1"
# Graph algorithms (for min-cut assignment in metrics)
petgraph = "0.6"
# Data loading
ndarray-npy = "0.10"
walkdir = "2.4"
# Hashing (for proof)
sha2 = "0.10"
# CSV logging
csv = "1.3"
# Progress bars
indicatif = "0.17"
# CLI
clap = { version = "4.4", features = ["derive", "env"] }
# rvCSI: napi-rs (Rust -> Node bindings) + napi-c (C-shim build glue)
napi = { version = "2.16", default-features = false, features = ["napi8"] }
napi-derive = "2.16"
napi-build = "2.1"
cc = "1.0"
libc = "0.2"
# Testing
criterion = { version = "0.5", features = ["html_reports"] }
proptest = "1.4"
mockall = "0.12"
wiremock = "0.5"
# midstreamer integration (published on crates.io)
midstreamer-quic = "0.1.0"
midstreamer-scheduler = "0.1.0"
midstreamer-temporal-compare = "0.1.0"
midstreamer-attractor = "0.1.0"
# ruvector integration (published on crates.io)
# Vendored at v2.1.0 in vendor/ruvector; using crates.io versions until published.
ruvector-core = "2.2.0"
ruvector-mincut = "2.0.4"
ruvector-attn-mincut = "2.0.4"
ruvector-temporal-tensor = "2.0.6"
ruvector-solver = "2.0.4"
ruvector-attention = "2.0.4"
ruvector-crv = "0.1.1"
ruvector-gnn = { version = "2.0.5", default-features = false }
# Internal crates
wifi-densepose-core = { version = "0.3.0", path = "crates/wifi-densepose-core" }
wifi-densepose-signal = { version = "0.3.0", path = "crates/wifi-densepose-signal" }
wifi-densepose-nn = { version = "0.3.0", path = "crates/wifi-densepose-nn" }
wifi-densepose-api = { version = "0.3.0", path = "crates/wifi-densepose-api" }
wifi-densepose-db = { version = "0.3.0", path = "crates/wifi-densepose-db" }
wifi-densepose-config = { version = "0.3.0", path = "crates/wifi-densepose-config" }
wifi-densepose-hardware = { version = "0.3.0", path = "crates/wifi-densepose-hardware" }
wifi-densepose-wasm = { version = "0.3.0", path = "crates/wifi-densepose-wasm" }
wifi-densepose-mat = { version = "0.3.0", path = "crates/wifi-densepose-mat" }
wifi-densepose-ruvector = { version = "0.3.0", path = "crates/wifi-densepose-ruvector" }
[profile.release]
lto = true
codegen-units = 1
panic = "abort"
strip = true
opt-level = 3
[profile.release-with-debug]
inherits = "release"
debug = true
strip = false
[profile.bench]
inherits = "release"
debug = true
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