gramps
9f3c154d84
- Model: Google's official MediaPipe Selfie Segmenter (landscape, Apache-2.0 per model card), converted to ONNX by tools/selfie-seg/convert_tflite_to_onnx.py (custom op Convolution2DTransposeBias -> ConvTranspose) and verified against MediaPipe's own runtime (verify_against_mediapipe.py: max |diff| 5e-5, 100% binary agreement). Embedded resource, 430 KB. - Services/BackgroundEffects: IPersonSegmenter seam, OnnxPersonSegmenter (onnxruntime 1.31.0 CPU, never throws), BackgroundEffectProcessor (None passthrough, Remove = alpha mask). Not wired yet. - Tests: Remove integration test (fake segmenter) + bundled-model contract test vs MediaPipe reference mask. Full suite 407/408 — the one failure is the documented interactive-desktop flake RealMouseDrag_OnTheLayerList_PersistsTheReorder (passed in the run before; code path untouched). - Docs: ai.md reversal + section + licensing guard, THIRD-PARTY-NOTICES 11-12, TASK 51, indexes, MyMistakes recipe, HANDOFF. References: obs-backgroundremoval (approach only — ONNX Runtime on CPU, 2 threads; GPL-3.0, no code used) https://github.com/royshil/obs-backgroundremoval ; MediaPipe image segmenter https://ai.google.dev/edge/mediapipe/solutions/vision/image_segmenter
108 lines
6.8 KiB
Markdown
108 lines
6.8 KiB
Markdown
# TASK 51 — Webcam background effects: Remove + Blur (v1 requirement)
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> Catalog: [`TASKS.md`](../TASKS.md) — status and requirements live here.
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> **Booked 2026-10-08 by creator ruling** — *"we're doing the bg removal and blur for v1 - book it, Danno"*.
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> This **reverses** the 2026-10-05 "background removal: out of product" exclusion (TASK 3 item 19).
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**Status:** 🔶 In progress — **slice 1 (engine: bundled model + runner + Remove) shipped 2026-10-09**.
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Next: slice 2 (Blur), then config + persistence, then the camera-path hookup + UI.
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**Goal:** per-webcam **Background Remove** and **Background Blur** on the live webcam layer,
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selected per element in its properties panel, composited into stream + recording like any
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other layer. No external downloads, no hardware requirement, works on any machine.
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Replacement backgrounds are **free via layers** — drop any element behind the webcam.
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---
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## Why this is now IN (and what changed)
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The 2026-10-05 exclusion was based on: an in-app AI model = a runtime, a GPU/driver matrix,
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per-scene lighting tuning, and "a vcam app does it free." The ruling is reversed because the
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delivery shape changed:
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1. **Bundled small ONNX model (~2–5 MB)** — MediaPipe Selfie-Segmentation family —
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shipped in the installer/fixture (TASK 48 MSIX), executed by **onnxruntime** (CPU default;
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DirectML optional later). No NVIDIA SDK, no GPU requirement, no per-client download.
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2. **Quality reality (creator):** a 720p webcam displays at ~15% of a 1080p frame — premium
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segmentation quality is invisible at that size; commodity class is sufficient.
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3. **⛔ Ruled out: NVIDIA Video Effects SDK (VFX / Maxine, AI Green Screen + Background Blur).**
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Works on RTX 2000+/R570+ only, and needs a ~1 GB user-side redistributable on first use.
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Creator: *"I don't think I'm putting a 1gb download requirement on a client box."*
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## Constraints — non-negotiable
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1. **No external download at runtime.** Model ships in the installer. (Store policy 10.2.2 —
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same posture as the ffmpeg bundling in TASK 48 item 1.)
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2. **No hardware requirement.** CPU path must work; DirectML is an optional accelerator.
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3. **Per-element (Meld-style), not global.** Each webcam element carries its own effect.
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4. **No feature gating.** Everything is free (free-forever ruling 2026-10-08, TASK 54 — the old
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"only the branding flash is paid" line here was superseded).
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5. **Scene change / webcam add/remove must not crash or stall the pump** — a failing model
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run skips to passthrough, never drops the layer.
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## Out of scope for v1 (same engine later)
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- ❌ **"Remove chair"-style object selection / quality tiers** — not a picker engine
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- ❌ **Super resolution / denoise / prettify passes**
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- ❌ **Virtual camera output** — permanently out of product (no vcam)
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## 1. Engine
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- ✅ **Model bundled (slice 1, 2026-10-09):** Google's official MediaPipe Selfie Segmenter
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**landscape** (144×256, Apache-2.0 per the model card — license + changes recorded in
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THIRD-PARTY-NOTICES item 12). Converted to ONNX by `tools/selfie-seg/convert_tflite_to_onnx.py`
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(custom op `Convolution2DTransposeBias` → `ConvTranspose`); verified against MediaPipe's own
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runtime by `tools/selfie-seg/verify_against_mediapipe.py` (max |diff| 5e-5). 430 KB,
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`EmbeddedResource` in the exe. Rejected sources: PINTO #109 (ML Kit-extracted, unclear license),
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obs-backgroundremoval code (GPL-3.0) — referenced for approach only (ONNX Runtime, CPU, 2 threads).
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- ✅ `Microsoft.ML.OnnxRuntime` 1.31.0, CPU EP (`OnnxPersonSegmenter`). Failing load/run →
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logs once, returns null, caller passes through. DirectML still optional/later.
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- ☐ Blur = **separable in-app blur** (box/gaussian) over the masked background region — slice 2.
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- ✅ Remove = alpha = mask outside the person (`BackgroundEffectProcessor`), `IsOpaque = false`.
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The compositor already alpha-blends per element — no compositor change expected (confirm in
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the hookup slice).
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- ☐ Feed the **VideoFrame seam** (`Services/VideoFrame.cs` doc explicitly anticipates
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*"every future capture source (screen, background-removed webcam) feeds the same seam"*):
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the frame handed to BOTH the preview bitmap path and the compositor's
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`_cameraManager.GetLatestFrame` is the processed frame. One processing point, two consumers.
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## 2. ☐ Config surface + persistence
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- ☐ `WebcamSceneConfig` gains `BackgroundEffect` (`None | Remove | Blur`) + `Strength`.
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- ☐ Persist via the existing `WebcamSceneConfig` table path in `LayoutStore.Save.cs`/
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`Load.cs` (new columns + migration). Follow `LayoutStore.Migrations.cs` conventions.
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- ☐ Properties panel: effect dropdown + strength slider, per webcam element.
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- ☐ Replace-background affordance: **none in v1** — the creator drops any layer behind the
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webcam. Effect preview must not obscure the fact that layers below still show through.
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## 3. ☐ Test seam (Good Dog — one integration test per unit)
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- ✅ Model-runner interface seam (`IPersonSegmenter`) so tests inject a fake segmenter.
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- ☐ Assert the **processed frame reaches both consumers** (preview bitmap + compositor frame).
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- ✅ `None` = same-instance passthrough of the raw frame (`BackgroundEffectEngineTests`).
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- ✅ `Remove` = alpha 0 outside the person, RGB untouched, non-opaque (`BackgroundEffectEngineTests`);
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☐ `Blur` = background region blurred, person sharp.
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- ✅ **Bundled-model contract:** the embedded ONNX model through the C# preprocessing reproduces
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MediaPipe's reference mask on a fixture (≥99.5% agreement). This is a fixed, deterministic
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contract check of the shipped bytes — not a camera/lighting quality test.
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- ☐ Config → persistence roundtrip (per webcam element).
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- ☐ Engine failure → passthrough + single log, layer never dropped (code path exists; dedicated
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test lands with the hookup slice).
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- ☐ Real inference: **manual on the creator's box** (camera + lighting), not in CI.
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- ☐ **Perf check in the hookup slice:** time `Segment` + `Apply` per 720p frame on the creator's
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box before wiring it into the 60fps path (expect a few ms; the mask can run at a lower rate
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than the camera if needed).
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## 4. Sequencing
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- ✅ Separate work unit after the zoom build (zoom shipped 2026-10-08).
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- Slice order: 1 engine ✅ → 2 Blur → 3 config + persistence → 4 camera-path hookup (one
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processing point, both consumers) + perf check → 5 properties-panel UI.
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## Related (not duplicated here)
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- [`task-48-distribution-msix.md`](task-48-distribution-msix.md) — the model ships in the
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MSIX; bundled-binary posture established by the ffmpeg work.
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- `TASKS.md` Webcam cadence section — the "⛔ no background removal" line is superseded
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by this ruling; the **judder/compositor cost work is unaffected and still heads its lane.**
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- `research-store-certification.md` — 11.12/10.2.2 posture; nothing here sends data off-box. |