Initial commit: scene-actor-extraction pipeline

Source (KPN++ pipeline nodes, ArcFace embedders, SCRFD/YuNet detectors,
gallery builder), build scripts, and eval artifacts.

- external/KPN as a git submodule (gitea.tourolle.paris/dtourolle/KPN)
- ONNX models tracked via Git LFS (models/*.onnx)
- generated outputs, TensorRT engines, reference repos, and media ignored
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2026-06-12 15:29:01 +02:00
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#!/usr/bin/env bash
# Pre-build TensorRT engines for ArcFace and SCRFD with the same shape profiles
# the runtime nodes use. First-run ORT engine builds take 3090 s per model and
# block the pipeline; this script does it offline so cold starts are instant.
#
# Profiles must match src/arcface_embedder.hpp and src/scrfd_decoder.hpp:
# ArcFace : min=1x3x112x112 opt=Nx3x112x112 max=Nx3x112x112 (N = embed batch)
# SCRFD : 1x3x640x640 (fixed; we letterbox to this)
#
# These trtexec-built engines are *not* picked up by the ORT TRT EP cache —
# ORT uses its own engine format. The point of this script is:
# (a) sanity-check that the ONNX models build under TRT at all;
# (b) measure pure inference latency without ORT overhead.
# Run scene_analyze normally and ORT will populate ./trt_cache itself.
set -euo pipefail
ROOT="$(cd "$(dirname "$0")/.." && pwd)"
MODELS="$ROOT/models"
OUT="$ROOT/trt_cache"
mkdir -p "$OUT"
EMBED_BATCH="${EMBED_BATCH:-4}"
ARCFACE_MODEL="${ARCFACE_MODEL:-$MODELS/arcface_w600k_r50.onnx}"
SCRFD_MODEL="${SCRFD_MODEL:-$MODELS/scrfd_500m_bnkps.onnx}"
run() { echo "+ $*"; "$@"; }
echo "== ArcFace =="
run trtexec \
--onnx="$ARCFACE_MODEL" \
--fp16 \
--minShapes=input.1:1x3x112x112 \
--optShapes=input.1:${EMBED_BATCH}x3x112x112 \
--maxShapes=input.1:${EMBED_BATCH}x3x112x112 \
--saveEngine="$OUT/arcface.$(basename "$ARCFACE_MODEL" .onnx).b${EMBED_BATCH}.fp16.engine" \
--useCudaGraph
echo
echo "== SCRFD =="
run trtexec \
--onnx="$SCRFD_MODEL" \
--fp16 \
--minShapes=input.1:1x3x640x640 \
--optShapes=input.1:1x3x640x640 \
--maxShapes=input.1:1x3x640x640 \
--saveEngine="$OUT/scrfd.$(basename "$SCRFD_MODEL" .onnx).640.fp16.engine" \
--useCudaGraph
echo
echo "Engines saved under: $OUT"
echo "Look for 'mean: ... ms' in each section for per-call latency."