trtexec rejects --minShapes/--optShapes/--maxShapes for a fully static model
("Static model does not take explicit shapes"). TransNetV2's input is fixed at
1x100x27x48x3, so the shape comes from the model itself.
Gallery build now over-fetches TMDB/Wikidata candidates by a configurable
factor: near-duplicate stills (the same photo at different crops or
resolutions) are discarded after embedding, so downloading exactly
images_per_actor left actors short of that many *distinct* embeddings.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
47 lines
1.9 KiB
Python
47 lines
1.9 KiB
Python
"""Shared loader for the sae_embed nanobind module (SCRFD + ArcFace).
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sae_embed.FaceEmbedder loads both ONNX sessions once and exposes an
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embed(path) -> FaceResult method, avoiding the per-process model reload cost
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of spawning the embed_faces CLI binary for every image.
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"""
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import sys
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from pathlib import Path
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def load_embedder(build_dir: str, models_dir: str, arcface: str | None = None,
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conf: float = 0.5, nms: float = 0.4, max_side: int = 500):
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"""Import sae_embed from build_dir and construct a FaceEmbedder.
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Exits with a clear error if the module or models are missing — there is
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no subprocess fallback.
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"""
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build_path = Path(build_dir).resolve()
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sys.path.insert(0, str(build_path))
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try:
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import sae_embed
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except ImportError as e:
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sys.exit(
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f"sae_embed module not found in {build_path}: {e}\n"
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f"Build it first: cmake --build {build_dir} --target sae_embed"
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)
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models_path = Path(models_dir)
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detector_path = str(models_path / "scrfd_500m_bnkps.onnx")
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arcface_path = arcface if arcface else str(models_path / "arcface_w600k_r50.onnx")
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for model, name in [(detector_path, "SCRFD"), (arcface_path, "ArcFace")]:
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if not Path(model).is_file():
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sys.exit(f"{name} model not found: {model}\nRun: bash scripts/download_models.sh")
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# A TRT-backend build cannot load .onnx; it needs pre-built engines from
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# scripts/build_trt_engines.sh. Pass them when present (ignored by ORT).
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trt = Path(models_path).parent / "trt_cache"
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det_engine = trt / "scrfd.scrfd_500m_bnkps.640.fp16.engine"
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arc_engine = trt / f"arcface.{Path(arcface_path).stem}.b4.fp16.engine"
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return sae_embed.FaceEmbedder(
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detector_path, arcface_path, conf, nms, max_side,
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str(det_engine) if det_engine.is_file() else "",
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str(arc_engine) if arc_engine.is_file() else "",
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)
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