Wanting to run anomaly-based intrusion detection on AGX Xavier


As the title says, I’m trying to implement anomaly-based intrusion detection on the AGX Xavier. I’m using pandas dataframes for training/testing. Its certainly possible without tensorrt, but is incredibly slow using a Keras savedmodel (even running maxn and ./jetson_clocks.sh). I’m finding very little information on the use of TensorRT for intrusion detection or with pandas dataframes. Is it possible? Or is Keras necessary for this particular application?


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