ori226 / p300_lstm Goto Github PK

Traceback (most recent call last):
File "run_single_subject_for_test.py", line 54, in
main()
File "run_single_subject_for_test.py", line 47, in main
model=model)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\run_multi_subject_experiment.py", line 150, in train_and_evaluate
cross_validation_iter=cross_validation_iter)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\run_multi_subject_experiment.py", line 86, in prepare_data_for_experiment
create_data_rep_training_public(file_name, -200, 800, downsample_params=downsample_params)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\utils.py", line 161, in create_data_rep_training_public
data_from_file = readCompleteMatFile(file_name)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\utils.py", line 115, in readCompleteMatFile
all_relevant_channels, channels_names, marker_positions, target = extractBasicData(res)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\utils.py", line 47, in extractBasicData
set_1 = [x[0] for x in res['nfo']['clab'][0][0][0]]
KeyError: 'nfo'

start subject:gcd
Traceback (most recent call last):
File "run_multi_subject_experiment.py", line 243, in
main()
File "run_multi_subject_experiment.py", line 237, in main
model=model)
File "run_multi_subject_experiment.py", line 150, in train_and_evaluate
cross_validation_iter=cross_validation_iter)
File "run_multi_subject_experiment.py", line 86, in prepare_data_for_experiment
create_data_rep_training_public(file_name, -200, 800, downsample_params=downsample_params)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\utils.py", line 160, in create_data_rep_training_public
data_from_file = readCompleteMatFile(file_name)
File "C:\Users\Abhishek\Desktop\Project\p300_lstm-master\utils.py", line 112, in readCompleteMatFile
res = sio.loadmat(file_path)
File "C:\Users\Abhishek\Anaconda3\lib\site-packages\scipy\io\matlab\mio.py", line 142, in loadmat
matfile_dict = MR.get_variables(variable_names)
File "C:\Users\Abhishek\Anaconda3\lib\site-packages\scipy\io\matlab\mio5.py", line 292, in get_variables
res = self.read_var_array(hdr, process)
File "C:\Users\Abhishek\Anaconda3\lib\site-packages\scipy\io\matlab\mio5.py", line 252, in read_var_array
return self._matrix_reader.array_from_header(header, process)
File "mio5_utils.pyx", line 675, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header
File "mio5_utils.pyx", line 721, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header
File "mio5_utils.pyx", line 894, in scipy.io.matlab.mio5_utils.VarReader5.read_cells
File "mio5_utils.pyx", line 673, in scipy.io.matlab.mio5_utils.VarReader5.read_mi_matrix
File "mio5_utils.pyx", line 723, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header
File "mio5_utils.pyx", line 969, in scipy.io.matlab.mio5_utils.VarReader5.read_struct
File "mio5_utils.pyx", line 673, in scipy.io.matlab.mio5_utils.VarReader5.read_mi_matrix
File "mio5_utils.pyx", line 705, in scipy.io.matlab.mio5_utils.VarReader5.array_from_header
File "mio5_utils.pyx", line 778, in scipy.io.matlab.mio5_utils.VarReader5.read_real_complex
File "mio5_utils.pyx", line 450, in scipy.io.matlab.mio5_utils.VarReader5.read_numeric
File "mio5_utils.pyx", line 355, in scipy.io.matlab.mio5_utils.VarReader5.read_element
File "streams.pyx", line 195, in scipy.io.matlab.streams.ZlibInputStream.read_string
File "streams.pyx", line 188, in scipy.io.matlab.streams.ZlibInputStream.read_into
OSError: could not read bytes

Please help!!

The links in dataset is not working. Can you help?

Hello, Ori.

I've read your paper. I want to know how to plot the average gradient? Just like FIGURE 4.1 in your paper.

Thank you !!