Every embedding now carries the quality of the input it came from. Both axes fall out of the AR-005 warp for free: crop_sharpness() is the normalised Laplacian variance over the aligned 112x112, so contrast and size cannot leak into it, and the alignment residual is the part of the landmark deformation a similarity transform cannot explain, so in-plane roll reads as zero and foreshortening does not. Carried, not consumed. Nothing discounts or thresholds on either number yet -- that is AR-030 and VR-012, and the knee has to be located against recorded data before a gate is chosen. What this change buys is that the data exists to locate it with. No face is admitted unscored: the -1 sentinel is preserved rather than clamped, and a degenerate landmark fit is counted rather than silently dropped. Takes the VR-001 dump to schema_version 2. The bump is not for readers, which check for the datasets by name and replay a v1 dump unchanged; it is so a consumer can tell "never scored" from "scored zero", which is not recoverable from the arrays afterwards. TRACES: AR-028, AR-029, AR-030 | VR-001 | SR-002
187 lines
9.2 KiB
C++
187 lines
9.2 KiB
C++
#pragma once
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#include <array>
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#include <cstdint>
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#include <string>
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#include <vector>
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#include <opencv2/core.hpp>
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#include "gallery/embedder_stamp.hpp"
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// ── Embedding ─────────────────────────────────────────────────────────────────
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// 512-dim L2-normalised ArcFace embedding
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using Embedding = std::array<float, 512>;
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inline float cosine_similarity(const Embedding& a, const Embedding& b) {
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float dot = 0.f;
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for (int i = 0; i < 512; ++i) dot += a[i] * b[i];
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return dot;
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}
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// ── Frame ─────────────────────────────────────────────────────────────────────
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// Raw sampled frame from the movie. eof=true is the pipeline shutdown sentinel:
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// every node must forward it immediately without processing.
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struct Frame {
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cv::Mat image;
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double timestamp_sec{0.0};
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int64_t frame_idx{-1};
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bool eof{false};
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bool is_cut{false}; // histogram: intra-scene camera-angle change (tracker reset)
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bool is_scene_boundary{false}; // TransNetV2: true shot/scene boundary (opt-in)
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float cut_score{0.f}; // histogram cut score = 1 - hist_corr (0=identical, ~1=cut); HUD/debug
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float bbox_upscale{1.f}; // multiply detector bboxes/landmarks by this to map back to
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// original video resolution (>1 when dense_scale downscaled the frame)
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};
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// ── CutEvent ──────────────────────────────────────────────────────────────────
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// Emitted by SceneDetectorFunc when TransNetV2 localises a shot boundary, keyed
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// by the boundary frame's timestamp. eof=true is the shutdown sentinel.
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struct CutEvent {
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double timestamp_sec{0.0};
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float probability{0.f}; // sigmoid boundary score at the peak
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bool eof{false};
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};
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// ── ArcFace alignment ─────────────────────────────────────────────────────────
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// Canonical 5-point target positions for a 112×112 ArcFace crop.
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// Landmark order: right-eye, left-eye, nose, right-mouth, left-mouth
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// (matches SCRFD output order — no reordering needed).
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inline constexpr float kArcFaceRef[5][2] = {
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{38.2946f, 51.6963f},
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{73.5318f, 51.5014f},
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{56.0252f, 71.7366f},
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{41.5493f, 92.3655f},
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{70.7299f, 92.2041f},
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};
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// ── DetectedFace ──────────────────────────────────────────────────────────────
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// One face found by SCRFD in a Frame.
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// Landmark order matches ArcFace convention (same as SCRFD output order):
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// [0] right-eye-centre [1] left-eye-centre [2] nose
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// [3] right-mouth [4] left-mouth
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/// TRACES: AR-028 | SR-002
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struct DetectedFace {
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cv::Rect2f bbox;
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std::array<cv::Point2f, 5> landmarks;
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float confidence{0.f};
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// ── AR-028 quality vector ────────────────────────────────────────────────
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// Three axes, kept separate and never collapsed into one scalar: they fail
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// for different reasons, have different remedies, and do not earn the same
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// response. Carried, not consumed — the vector travels with the face into
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// the VR-001 dump so a threshold can be re-litigated against recorded data
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// rather than by re-running video.
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//
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// **Size is the third axis and is deliberately not a field here.** It is
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// `bbox`, which every consumer already has, scaled by the frame's
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// `bbox_upscale` to reach the original resolution AR-002 thresholds in.
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// Copying it into a second field would put the same quantity in two
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// coordinate spaces inside one struct — the trap SCHEMA.md records for
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// `bbox_upscale` — and the copy would be the one that drifts.
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//
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// Both fields below are -1 until the aligner runs, so *unscored* is
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// distinguishable from *scored badly*. Nothing downstream may read a
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// negative value as a quality.
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// AR-029 sharpness: normalised Laplacian variance over the aligned crop,
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// dimensionless. Falls with motion blur and soft focus; invariant to
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// contrast, and taken on the fixed 112×112 canvas so it cannot re-measure
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// face size. See crop_sharpness() for the construction and its one hazard.
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float sharpness{-1.f};
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// AR-030 visibility: RMS landmark misfit, in canonical 112×112 pixels, left
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// over after the best similarity fit to the ArcFace template. Rises with
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// out-of-plane pose and with occlusion; blind to in-plane roll and to face
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// size, both of which the fit absorbs. Set by the aligner, which is where
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// the transform is computed; -1 until then.
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float alignment_residual{-1.f};
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};
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// ── Pipeline messages ─────────────────────────────────────────────────────────
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struct SceneFrame {
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Frame source;
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std::vector<DetectedFace> faces; // empty when no faces detected (or eof)
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};
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struct AlignedSceneFrame {
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Frame source;
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std::vector<DetectedFace> faces;
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std::vector<cv::Mat> crops; // 112×112 BGR, ArcFace-ready; parallel to faces
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};
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struct EmbeddedSceneFrame {
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Frame source;
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std::vector<DetectedFace> faces;
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std::vector<cv::Mat> crops; // forwarded for debug rendering downstream
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std::vector<Embedding> embeddings;
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};
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// ── Face tracking ─────────────────────────────────────────────────────────────
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// Output of FaceTrackerFunc — EmbeddedSceneFrame augmented with per-detection
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// track context.
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struct TrackedSceneFrame {
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Frame source;
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std::vector<DetectedFace> faces;
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std::vector<cv::Mat> crops;
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std::vector<int> track_ids; // -1 = brand-new track this frame
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std::vector<Embedding> embeddings; // per-frame raw (from embedder)
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};
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// ── Identity matching ─────────────────────────────────────────────────────────
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struct IdentifiedActor {
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int actor_idx{-1}; // index into ActorGallery::actors; -1 = unknown
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int track_id{-1}; // face track ID from FaceTrackerFunc
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std::string name;
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std::string imdb_id;
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std::string tmdb_id;
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std::string jellyfin_id; // Jellyfin Person item GUID, if gallery was built from Jellyfin
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float similarity{0.f}; // calibrated P(match) or cosine similarity; 0 for unknowns
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cv::Rect2f bbox;
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cv::Mat crop; // 112×112 aligned crop (stored as shared_ptr by KPN)
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};
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struct MatchedSceneFrame {
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Frame source;
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std::vector<IdentifiedActor> actors; // includes unknowns (actor_idx == -1)
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};
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// ── Scene annotation ──────────────────────────────────────────────────────────
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// Output of the scene tracker: one per sampled frame.
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// visible_actors contains all actors still within their extinction window.
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struct SceneAnnotation {
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double timestamp_sec{0.0};
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std::vector<IdentifiedActor> visible_actors;
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bool eof{false};
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};
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// ── Actor gallery ─────────────────────────────────────────────────────────────
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// Loaded once at startup; baked into the identity matcher.
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struct ActorGallery {
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struct Actor {
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std::string imdb_id;
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std::string tmdb_id;
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std::string jellyfin_id; // Jellyfin Person item GUID, if known
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std::string name;
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std::vector<Embedding> embeddings; // one per reference image
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std::vector<std::string> source_images;
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};
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std::vector<Actor> actors;
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/// TRACES: GR-004 | SR-001
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// Which embedder produced every embedding above. Empty == the file predates
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// model binding; see gallery/embedder_stamp.hpp for what is checked and why.
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EmbedderStamp embedder;
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// Cached Platt-sigmoid calibration (see gallery/gallery_calibration.hpp),
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// stored alongside the gallery in HDF5 so it never needs recomputing
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// unless the reference embeddings actually change. calib_valid=false and
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// calib_hash=0 means "not present in this file, compute it."
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float calib_a{10.f};
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float calib_b{-5.f};
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bool calib_valid{false};
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uint64_t calib_hash{0};
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};
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