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import linecache | |
import subprocess | |
import torch | |
from torch.utils.data import Dataset, DataLoader | |
class EEGDataset(Dataset): | |
def __init__(self, filename): | |
self.filename = filename | |
self.total_size = int(subprocess.check_output("wc -l " + filename, shell=True).split()[0]) | |
def __getitem__(self, idx): | |
line = linecache.getline(self.filename, idx + 1) | |
str_x, str_y = line.split("\t") | |
str_x = str_x.split("") | |
y = int(str_y) | |
x = torch.tensor([float(x) for x in str_x], | |
dtype=torch.float) | |
x = x.view(2500, 2, 3) | |
return x, y | |
def __len__(self): | |
return self.total_size | |
if __name__ == "__main__": | |
dataset = EEGDataset("./data/eeg.txt") | |
dataloader = DataLoader(dataset, batch_size=32, shuffle=False) | |
for batch in dataloader: | |
x, y = batch | |
print(x.size(), y.size()) |
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