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https://github.com/blakeblackshear/frigate.git
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Miscellaneous fixes (#24528)
* revert disable save buttons when there are no changes in config editor * pass migrated config to each step in the config migration chain * use 150 as the default max when typing a min speed in the search filter * fix preview export outpoint to be relative to the start of the preview file * don't crash on invalid trusted proxy entries or non-ip forwarded hops * translate the camera count badge in the roles table * run every batch through the lpr recognition model * log rejected motion and notification mqtt payloads * log invalid addresses in x-forwarded-for * add test * remove unused autotracked_object_region * remove unreachable autotracker setup call in camera maintenance * apply onvif retry limit when initialization fails * fix reindex progress overcounting when there are fewer events than a batch * match the register device button aria label to its text * reset the add profile form on cancel * ignore case when filtering search suggestions * tweak comment
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@@ -176,6 +176,7 @@ class LicensePlateProcessingMixin:
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"""
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input_shape = [3, 48, 320]
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num_images = len(images)
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outputs: list[np.ndarray] = []
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for index in range(0, num_images, self.batch_size):
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input_h, input_w = input_shape[1], input_shape[2]
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@@ -195,11 +196,11 @@ class LicensePlateProcessingMixin:
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norm_image = norm_image[np.newaxis, :]
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norm_images.append(norm_image)
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try:
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outputs = self.model_runner.recognition_model(norm_images) # type: ignore[arg-type]
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except Exception as e:
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logger.warning(f"Error running LPR recognition model: {e}")
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return [], []
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try:
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outputs.extend(self.model_runner.recognition_model(norm_images)) # type: ignore[arg-type]
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except Exception as e:
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logger.warning(f"Error running LPR recognition model: {e}")
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return [], []
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return self.ctc_decoder(outputs)
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