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We should add some information/example on how to load saved model parameters from .pkl files.
It is done using the load() function from serialization module implemented in pytorch.
[Errno 2] Unable to open file (unable to open file: name = './test/1.mat', errno = 2, error message = 'No such file or directory', flags = 0, o_flags = 0)
Although this data file is a mat file, it cannot be opened with MATLAB.
I don't know why matlab can't open the mat file, so I want to ask how to convert these data into Matlab available data.
when I load 2.mat
matlab say:Incorrect use of load
Unable to read mat file D: \ EEG program \ all data \ high gamma data \ 2.mat. Not a binary mat file. Try load - ASCII to read as text.
[example.py]line 46: cnt = loader.load()
[/braindecode/datasets/bbci.py] line 149: "".join(chr(c) for c in h5file[obj_ref]) for obj_ref in clab_set
TypeError: only integer scalar arrays can be converted to a scalar index
The last version of braindecode doesn't contain functions used in this repository. How to load a high gamma dataset with the current version of braindecode?
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