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can you explain more detail about features preprocessing algorithm in
s3_preprocess_features.py ?
such as what is window_size, is it the same as time steps in LSTM?
The text was updated successfully, but these errors were encountered:
No. I just pick the window_size based on my experience --- I picked 0.5s because I think as a human I can recognize other people's action from a 0.5s video.
It's not related to LSTM at all. This project doesn't use LSTM
can you explain more detail about features preprocessing algorithm in
s3_preprocess_features.py ?
such as what is window_size, is it the same as time steps in LSTM?
The text was updated successfully, but these errors were encountered: