ruvnet/RuView v1021

Release v1021

on GitHub

Automated release from CI pipeline

Changes:
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.

Docker Image:
ghcr.io/ruvnet/RuView:6959a4231202357fe95dc9dfdfac46d29e37595f