Detect, align and embed faces with SCRFD and MobileFaceNet

Ports the pipeline from the C++ reference in ../scene-actor-extraction
(MIT, same author). End to end on real portraits it separates identities
the way the reference's fitted calibration says it should: 0.596 between
distinct photographs of one person, 0.05 between different people, either
side of MBF's 0.267 boundary.

Three things are structural rather than incidental:

Aligned112 can only be built by align::warp, so Embedder::embed cannot be
handed an unaligned bounding-box crop. That mistake yields 512 plausible
unit-norm numbers and no error, so the type system refuses it instead.

Embedding carries its ModelId and cosine() returns None across models,
because a cross-model similarity is the one mistake that produces
plausible garbage rather than a failure.

The model-free half -- alignment, embedding arithmetic, f16 storage --
sits outside the inference feature and is covered by 11 tests that need
no weights on the machine.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

This commit is contained in:

dtourolle

2026-08-26 19:57:56 +02:00

co-authored by

Claude Opus 5

parent 72410f39c6

commit 19981c1033

9 changed files with 1196 additions and 32 deletions

									
										core/dr-face/Cargo.toml
									
		+4
		
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				@@ -26,6 +26,10 @@ ort-tract = { workspace = true }

				name = "probe"

				required-features = ["inference"]

				[[example]]

				name = "faces"

				required-features = ["inference"]

				[features]

				# Nothing on by default, and in particular **no `embedded-model`**: the weights

				# are not a build input and never become one (docs/faces.md §2.2). A feature