Comments (4)
Thank you for your attention. Timestamps can be used to calculate the sampling rate, which is necessary in heart rate estimation. However, the end-to-end model outputs waveforms rather than directly outputting heart rates, so it actually does not need timestamps for training. If you need to test the model, please use a dataset with timestamps instead of datatape. If your model must use timestamps, you can generate them yourself because the sampling rate of most datasets is usually 30fps or set the sampling rate according to your dataset and then generate uniform timestamps using np.arange.
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Please make sure you are passing in a dataset file, not a datatape file. Dataset files can be used to generate datatape and for testing, while datatape is only used for training. If your issue is still not resolved, please show your code so I can further identify the problem. Additionally, I recommend reading our tutorial
https://github.com/KegangWangCCNU/PhysBench/blob/main/Tutorial/Noob%20Heart.ipynb
to understand how it works.
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I still run into some problems. Shouldn't we use eval_on_dataset
when testing? It will show that the timestamp, path attributes are missing. So, the tests should be rewritten by myself. My dataset is pure.
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Oh! Thanks ! I mistakenly used datatape.
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