Generate Code

Generate the core running part in \Experiments\chb_multiple_classes.ipynb or demo.py
(myenv) $ python demo.py

Generate Data or Train Data

After running the previous step, the generated data is obtained in \chb_exp, and the test data and train data are obtained in \chb_exp\sample

Metric Code

Evaluate the core running in \Experiments\metric_pytarch.ipynb and Experiments\metric_sensorflow.ipynb

Data replacement for evaluation section:
Example:
Replace the data path in ori_data = np.load('../chb_exp/ori_data_1.npy') with \Data\aug_train\full-0.2-200-raw.npy
Replace \Data\aug_train\full-0.2-200.npy with the data path in fake_data = np.load('../chb_exp/ddpm_fake_1_eeg.npy')

Classic Code

Classification Core Run \Experiments\aug.ipynb
Replace the data in the classification section as above