dtourolle
d753062c6c
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
52 lines
1.8 KiB
Bash
Executable File
52 lines
1.8 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Pre-build TensorRT engines for ArcFace and SCRFD with the same shape profiles
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# the runtime nodes use. First-run ORT engine builds take 30–90 s per model and
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# block the pipeline; this script does it offline so cold starts are instant.
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#
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# Profiles must match src/arcface_embedder.hpp and src/scrfd_decoder.hpp:
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# ArcFace : min=1x3x112x112 opt=Nx3x112x112 max=Nx3x112x112 (N = embed batch)
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# SCRFD : 1x3x640x640 (fixed; we letterbox to this)
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#
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# These trtexec-built engines are *not* picked up by the ORT TRT EP cache —
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# ORT uses its own engine format. The point of this script is:
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# (a) sanity-check that the ONNX models build under TRT at all;
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# (b) measure pure inference latency without ORT overhead.
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# Run scene_analyze normally and ORT will populate ./trt_cache itself.
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set -euo pipefail
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ROOT="$(cd "$(dirname "$0")/.." && pwd)"
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MODELS="$ROOT/models"
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OUT="$ROOT/trt_cache"
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mkdir -p "$OUT"
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EMBED_BATCH="${EMBED_BATCH:-4}"
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ARCFACE_MODEL="${ARCFACE_MODEL:-$MODELS/arcface_w600k_r50.onnx}"
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SCRFD_MODEL="${SCRFD_MODEL:-$MODELS/scrfd_500m_bnkps.onnx}"
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run() { echo "+ $*"; "$@"; }
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echo "== ArcFace =="
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run trtexec \
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--onnx="$ARCFACE_MODEL" \
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--fp16 \
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--minShapes=input.1:1x3x112x112 \
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--optShapes=input.1:${EMBED_BATCH}x3x112x112 \
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--maxShapes=input.1:${EMBED_BATCH}x3x112x112 \
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--saveEngine="$OUT/arcface.$(basename "$ARCFACE_MODEL" .onnx).b${EMBED_BATCH}.fp16.engine" \
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--useCudaGraph
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echo
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echo "== SCRFD =="
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run trtexec \
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--onnx="$SCRFD_MODEL" \
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--fp16 \
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--minShapes=input.1:1x3x640x640 \
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--optShapes=input.1:1x3x640x640 \
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--maxShapes=input.1:1x3x640x640 \
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--saveEngine="$OUT/scrfd.$(basename "$SCRFD_MODEL" .onnx).640.fp16.engine" \
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--useCudaGraph
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echo
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echo "Engines saved under: $OUT"
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echo "Look for 'mean: ... ms' in each section for per-call latency."
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