dtourolle
84fade99ec
docs/ had 26 developer documents flat beside the manual, and the two audiences are very differently sized: most readers want the manual and the gesture reference, a few want the register, the designs and the measurements. The manual and gestures.md stay at the top; everything for someone changing the code moves to docs/dev/, and the two documents that name their own successors — the v0.1 milestone and the UI-refinement plan — go to docs/dev/archive/ rather than being deleted, since both are still cited. docs/README.md is the index, users first. Every reference follows: code comments, Cargo manifests, the workflows, the pre-commit hook, the bench and traceability tools (which locate the repo root by docs/dev/requirements.md now), packaging, the Docker READMEs, CLAUDE.md, CONTRIBUTING.md and the README. The matrix links one level deeper and is regenerated. Links out of the moved documents into the tree gain a level; a link checker over every Markdown file finds none broken.
53 lines
1.7 KiB
TOML
53 lines
1.7 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; **what runs it is `dr-inference-engine`'s
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# business** — tract, or an ONNX Runtime the app found on disk, on whichever
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# provider the device has (docs/dev/inference.md). This crate never names either.
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ort = { workspace = true, optional = true }
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dr-inference-engine = { 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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dr-inference-engine = { workspace = true }
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[[example]]
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name = "probe"
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required-features = ["inference"]
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[[example]]
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name = "faces"
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required-features = ["inference"]
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[[example]]
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name = "eyes"
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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/dev/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:dr-inference-engine", "dep:ndarray"]
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