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@ -227,7 +227,9 @@ class CustomStateClassificationProcessor(RealTimeProcessorApi):
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self.tensor_output_details[0]["index"]
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self.tensor_output_details[0]["index"]
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)[0]
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)[0]
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probs = res / res.sum(axis=0)
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probs = res / res.sum(axis=0)
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logger.debug(f"{self.model_config.name} Ran state classification with probabilities: {probs}")
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logger.debug(
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f"{self.model_config.name} Ran state classification with probabilities: {probs}"
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)
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best_id = np.argmax(probs)
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best_id = np.argmax(probs)
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score = round(probs[best_id], 2)
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score = round(probs[best_id], 2)
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self.__update_metrics(datetime.datetime.now().timestamp() - now)
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self.__update_metrics(datetime.datetime.now().timestamp() - now)
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@ -456,7 +458,9 @@ class CustomObjectClassificationProcessor(RealTimeProcessorApi):
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self.tensor_output_details[0]["index"]
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self.tensor_output_details[0]["index"]
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)[0]
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)[0]
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probs = res / res.sum(axis=0)
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probs = res / res.sum(axis=0)
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logger.debug(f"{self.model_config.name} Ran object classification with probabilities: {probs}")
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logger.debug(
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f"{self.model_config.name} Ran object classification with probabilities: {probs}"
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)
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best_id = np.argmax(probs)
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best_id = np.argmax(probs)
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score = round(probs[best_id], 2)
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score = round(probs[best_id], 2)
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self.__update_metrics(datetime.datetime.now().timestamp() - now)
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self.__update_metrics(datetime.datetime.now().timestamp() - now)
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