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Downloading the model only once. Ideally people are using an explicit model path or the torch cache path (only available for SSL, not RF), but that may slow things down.
Loading the model only once - this is the big speedup. Even with a cached model, the model must load every time in stepcount, which is a slowdown. If the lines
are moved then a loop can only add sample_rate, window_len, wd.device, and wd.sample_rate to the model as needed for the specific file. The process would go: load model, add specific attributes, loop over data to reading/getting info, add to model, then predict_from_frame and summarize.
The text was updated successfully, but these errors were encountered:
I see the information for running multiple files at https://github.com/OxWearables/stepcount?tab=readme-ov-file#processing-multiple-files, but it would be great if you can pass in multiple files directly.
The benefits:
stepcount/src/stepcount/stepcount.py
Line 67 in 58797b1
sample_rate
,window_len
,wd.device
, andwd.sample_rate
to the model as needed for the specific file. The process would go: load model, add specific attributes, loop over data to reading/getting info, add to model, thenpredict_from_frame
and summarize.The text was updated successfully, but these errors were encountered: