Keep production startup independent of benchmarks
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@@ -157,7 +157,8 @@ def inference_worker(loop: asyncio.AbstractEventLoop) -> None:
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threshold = float(os.getenv("DETECTION_THRESHOLD", ".35")); max_people = int(os.getenv("MAX_PEOPLE", "4"))
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try:
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models.load()
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run_offline_benchmark(models, threshold, max_people)
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if os.getenv("RUN_STARTUP_BENCHMARK", "false").lower() == "true":
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run_offline_benchmark(models, threshold, max_people)
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state.models_ready = True; LOG.info("official detector and pose checkpoints loaded")
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except Exception as exc:
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state.inference_fault = True; state.error_code = "MODEL_LOAD_FAILED"
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