Applying mPSAT to a set of csv files

[igor-volgin]

Dear developers,

I have tried to perform classification by running infer.py for cnn2d (the script was taken from mPSAT-backend/tree/master/src, and onnx file for cnn2d from Release). However, the results produced by the script were found to differ from those which I get in GUI for PU.csv. What is the reason?

Could you please give an advise on how to apply your method out-of-GUI to get similar results on PU.csv? I'm interested in testing your method on large number of files.

Thank you in advance!

[zhengGroupDEV]

@igor-volgin Thanks for using this tool, the published models and .exe are initial versions, but the infer.py from mPSAT-backend is prepared for the newer ones.

I apologize for the absence of latest pretrained models, and I have published them at https://github.com/zhengGroupDEV/mPSAT-backend/releases/tag/v0.2.0 , please use the new .onnx models and try again.

Example:

Also, I recommand you to use CNN1D instead of CNN2D for it's better accuracy, if you need batch processing, you can modify the infer.py and implement it, hoping this will help you.