HATS: Histograms of Averaged Time Surfaces
License: MIT License
Languages and Tools:
VHDL
Hello, thanks for the simple implementation!
I really like your approach but I do have a really bad computational time.
In your paper, you referring to the computational Time as "13 times faster than real-time".
The time I received for one loop (embedding + prediction) was around 14 Seconds. (provided Jupyter notebook Python)
I get that the implementation in C++ will make a difference.
The function hats.process_all will consume 99% of the mentioned time above. Could it be that you embed those events while receiving the events? If this is the case, did the embedding also happening in realtime? (I guess you would use multiple threads to achieve that).
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