Comments (3)
Hello, if you have executed the code correctly, then you will obtain a CSV file containing BVP signals. You need to read this CSV and then use the get_hr
function (found in utils.py) to calculate HR. Note that inference.py defaults to using 30fps, which may not perform well at other frame rates.
The model does not directly output HR, so you must call get_hr
to obtain it.
from physbench.
Hello, forgive my late update.
inference.py
has been updated; it now supports eight models: seq
, tscan
, deepphys
, efficientphys
, physnet
, chrom
, pos
, and ica
, and allows for specifying weights as well as visualizing waveforms.
It can now directly provide the heart rate without the need for additional processing.
Please read the readme
to understand how to use it.
If you encounter any issues during use, feel free to send an email or submit an issue!
from physbench.
I just checked! I'm sorry I can't reflect that update because my study period is over, but thank you for your kind reply. Have a nice day! :)
from physbench.
Related Issues (11)
- Missing timestamp content in utils.py? HOT 4
- the model weight of Physformer
- 如何对VIPL数据进行处理呢? HOT 3
- 请问训练时是否进行了人脸和关键点检测?比较困惑
- 报错:模型预期有0层,但是预训练权重有9层 HOT 1
- Data Usage Agreement HOT 2
- is there pre-trained model -> efficientPhys HOT 2
- inference using other models HOT 7
- A question about conference.py HOT 2
- A question of EfficientPhys HOT 2
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