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Miscellaneous Fixes (0.17 Beta) (#21320)
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* Exclude D-FINE from using CUDA Graphs * fix objects count in detail stream * Add debugging for classification models * validate idb stored stream name and reset if invalid fixes https://github.com/blakeblackshear/frigate/discussions/21311 * ensure jina loading takes place in the main thread to prevent lazily importing tensorflow in another thread later reverts atexit changes in https://github.com/blakeblackshear/frigate/pull/21301 and fixes https://github.com/blakeblackshear/frigate/discussions/21306 * revert old atexit change in bird too * revert types * ensure we bail in the live mode hook for empty camera groups prevent infinite rendering on camera groups with no cameras --------- Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>
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co-authored by
Josh Hawkins
parent
c292cd207d
commit
78eace258e
@@ -146,29 +146,6 @@ class EmbeddingMaintainer(threading.Thread):
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self.detected_license_plates: dict[str, dict[str, Any]] = {}
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self.genai_client = get_genai_client(config)
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# Pre-import TensorFlow/tflite on main thread to avoid atexit registration issues
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# when importing from worker threads later (e.g., during dynamic config updates)
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if (
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self.config.classification.bird.enabled
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or len(self.config.classification.custom) > 0
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):
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try:
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from tflite_runtime.interpreter import Interpreter # noqa: F401
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except ModuleNotFoundError:
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try:
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from tensorflow.lite.python.interpreter import ( # noqa: F401
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Interpreter,
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)
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logger.debug(
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"Pre-imported TensorFlow Interpreter on main thread for classification models"
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)
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except Exception as e:
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logger.warning(
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f"Failed to pre-import TensorFlow Interpreter: {e}. "
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"Classification models may fail to load if added dynamically."
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)
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# model runners to share between realtime and post processors
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if self.config.lpr.enabled:
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lpr_model_runner = LicensePlateModelRunner(
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