The first int8 files found no faces at all, and for two reasons the tool now guards against. The calibration set was landscape photographs with no faces in them, so the score head's ranges had never seen the face regime; the set is now proxies from the library itself. And ONNX Runtime's strided and moving-average calibration modes both degrade these graphs measurably (a quarter of the faces at eight images, none at ninety-six), while driving the calibrator in chunks by hand gives ranges identical to a single pass — so the tool does that, four images at a time, and feeds quantize_static through its range cache. Measured against f32 over 400 proxies (docs/inference.md §10.1): the 10g form finds every face above 32 px the f32 form finds; 500m and 2.5g find 96%, and what they lose sits at a median confidence of 0.52 against the 0.50 threshold. Shipped with the number on record. The Android unpack list gains the three int8 files; without that the tablet never saw them. D13's runtime half records the reopening.
27 lines
923 B
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27 lines
923 B
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/target
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/target-android
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Cargo.lock.bak
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*.log
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# makepkg build products. `packaging/PKGBUILD` and the .desktop entry are
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# sources and belong in the tree; everything makepkg derives from them does
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# not — `pkg/` and `src/` are staging directories it recreates on every run,
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# and the package itself is 33 MB of compiled output.
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/packaging/pkg/
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/packaging/src/
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/packaging/*.pkg.tar.*
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/packaging/*.log
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# Cached upstream film profiles, re-fetchable with
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# tools/film-profiles/convert.py --fetch. Not source: the converted
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# profiles in core/dr-film/profiles are.
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tools/film-profiles/upstream/
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# flatpak-builder's cache and its output tree. `packaging/flatpak/` holds the
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# manifest, which is source; everything a build derives from it is not — and
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# `.flatpak-builder/` in particular caches an unpacked copy of the whole
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# checkout, so it is larger than the repository it sits in.
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/.flatpak-builder/
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/build/
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__pycache__/
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