feat(engine): HDF5-native galleries with embedded calibration; TensorRT backends; scene detection
Gallery format switches from JSON to HDF5 exclusively (JSON read-only kept for back-compat): save_gallery always writes HDF5, and the fitted Platt-sigmoid calibration (a, b, valid, hash) is now embedded directly in the gallery file instead of a sidecar .calib_cache.json — identity_matcher reads it from the loaded gallery and writes back only when the embeddings actually changed (hash mismatch), skipping the O(n^2) refit otherwise. Also includes: TensorRT inference backend support (ort_backend.cpp, trt_backend.cpp), gemm_backend improvements, TransNetV2-based scene-boundary detection wired through frame_source/face_tracker/main, and CMake build target updates for the new sources. Bumps the KPN submodule to feature/persistent-pipeline-reuse (push_blocking backpressure, node_ptr/node_stats introspection, ObjectVariantNodeWrapper for stateful functors) — needed by the optimizer's sae_kpn Python bindings.
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@@ -2,9 +2,22 @@
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#include "types.hpp"
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#include <string>
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// Load/save the actor gallery from/to a JSON file.
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// Load/save the actor gallery. HDF5 (.h5/.hdf5) is the only format written;
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// legacy gallery.json files are still readable for backward compatibility but
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// save_gallery always writes HDF5 regardless of the requested extension.
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//
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// JSON format:
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// HDF5 layout:
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// /embeddings float32 [N, 512] all actors' refs concatenated, row-major
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// /offset int64 [A] first row of actor a in /embeddings
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// /count int32 [A] number of refs for actor a
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// /imdb_id /tmdb_id /jellyfin_id /name : variable-length string [A]
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// /source_images : variable-length string [N], parallel to /embeddings rows
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// /calibration/a, /b : scalar float32 attrs — Platt-sigmoid P(match|sim) fit
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// /calibration/valid : scalar int8 attr (0/1)
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// /calibration/hash : scalar uint64 attr — hash of the embeddings the fit
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// was computed from; a mismatch means "recompute"
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//
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// Legacy JSON format (read-only):
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// {
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// "actors": [
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// {
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