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16 lines
508 B
Python

import torch.utils.data as data
import torch
import h5py
class DatasetFromHdf5(data.Dataset):
def __init__(self, file_path):
super(DatasetFromHdf5, self).__init__()
hf = h5py.File(file_path)
self.data = hf.get("data")
self.target = hf.get("label")
def __getitem__(self, index):
return torch.from_numpy(self.data[index,:,:,:]).float(), torch.from_numpy(self.target[index,:,:,:]).float()
def __len__(self):
return self.data.shape[0]