I have a signal comes in every ms in real time. And I have saved it in mySQL, (It looks like a heart beat waveform.) I wonder if there is any example of anomaly detection? Not just max or min, but the waveform like the duration of that pulse, and the shape of the pulse.
Shall I use LSTM like a speech? My dataset is only the normal one, I don’t have any abnormal dataset.
I have search the web and there is a list of tools. I wonder what is the right approach and has anyone implemented in the Nvidia nano.
Thanks. I just want to know if jetson has or will have an anomaly detection (or LSTM) demo soon.
Or is there any jetson LSTM model that I can try? ('Coz I saw the Nvidia NX demo can recognize voice)
My friend and I have problem before porting the model from desktop to the nano. The fps drops a lot, is there any link that teach me how to convert a tensorflow model to tensorRT?