The creator's test_greenscreen_moving_subject.mp4 (1920x1080, 5s, subject moving over a
green field) is what exposed the detector's brightness ceiling and proved the key colour must
come from the measured screen.
Development-only by construction, not by convention: ytLive.csproj lists Assets as explicit
<Resource Include> entries with no Assets/** glob, so a file that is not on that list is never
compiled in, copied to output, or published. The test project links this one path into its own
Fixtures output, so the repo holds ONE copy (23 KB).
- 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
gramps