File size: 1,155 Bytes
3589275 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 | import os
import torch
import torchvision.datasets as datasets
class DTD:
def __init__(self,
preprocess,
location=os.path.expanduser('~/data'),
batch_size=32,
num_workers=16):
# Data loading code
traindir = os.path.join(location, 'dtd', 'train')
valdir = os.path.join(location, 'dtd', 'val')
self.train_dataset = datasets.ImageFolder(
traindir, transform=preprocess)
self.train_loader = torch.utils.data.DataLoader(
self.train_dataset,
shuffle=True,
batch_size=batch_size,
num_workers=num_workers,
)
self.test_dataset = datasets.ImageFolder(valdir, transform=preprocess)
self.test_loader = torch.utils.data.DataLoader(
self.test_dataset,
batch_size=batch_size,
num_workers=num_workers
)
idx_to_class = dict((v, k)
for k, v in self.train_dataset.class_to_idx.items())
self.classnames = [idx_to_class[i].replace(
'_', ' ') for i in range(len(idx_to_class))] |