dtourolleandClaude Opus 5
72410f39c6
Neither InsightFace export parses as shipped -- SCRFD fails at its input node, ArcFace at the first Conv -- which is the same wall dr-segment hit on YOLO's dynamic export. Both load cleanly with the input dims frozen, so the pure-Rust runtime holds for the face pipeline too. tools/fix-face-model-shapes.sh does the freezing, and exists so the artefact is reproducible rather than a binary someone once produced. It takes two forms because the two graphs need different ones: ArcFace's batch is a named dim_param, SCRFD's H and W are dynamic but unnamed. Also notes YuNet loading with no intervention, which matters for the licence question in faces.md 2.3. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
44 lines
1.5 KiB
TOML
44 lines
1.5 KiB
TOML
[package]
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name = "dr-face"
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version.workspace = true
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edition.workspace = true
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rust-version.workspace = true
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license.workspace = true
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[dependencies]
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thiserror.workspace = true
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log.workspace = true
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# Inference. `ort` is the API; **tract is the engine** — see the workspace
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# manifest, and docs/faces.md §3, for why the C++ ONNX Runtime is not linked.
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ort = { workspace = true, optional = true }
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ort-tract = { workspace = true, optional = true }
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ndarray = { workspace = true, optional = true }
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[dev-dependencies]
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zune-jpeg.workspace = true
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env_logger.workspace = true
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# The M1 probe drives `ort` directly so it can print the raw load error.
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ort = { workspace = true }
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ort-tract = { workspace = true }
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[[example]]
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name = "probe"
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required-features = ["inference"]
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[features]
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# Nothing on by default, and in particular **no `embedded-model`**: the weights
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# are not a build input and never become one (docs/faces.md §2.2). A feature
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# flag that *could* embed them is a flag someone eventually sets in a packaging
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# script, and the InsightFace grant does not survive that.
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default = []
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# The ONNX runtime, and the two stages that need it.
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#
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# Separable because the accuracy of this subsystem lives in `calibrate` and
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# `cluster`, which are arithmetic over embeddings with no model in them. They
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# must be testable against synthetic embeddings on a machine with no weights on
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# it — a test suite that needs a research-licensed download is a test suite
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# that does not run in CI.
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inference = ["dep:ort", "dep:ort-tract", "dep:ndarray"]
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