torchvision datasets datasetfolder example

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Nicolas
15 Jul 2016
1def load_data(data_folder, batch_size, train, kwargs):
2    transform = {
3        'train': transforms.Compose(
4            [transforms.Resize([256, 256]),
5                transforms.RandomCrop(224),
6                transforms.RandomHorizontalFlip(),
7                transforms.ToTensor(),
8                transforms.Normalize(mean=[0.485, 0.456, 0.406],
9                                  std=[0.229, 0.224, 0.225])]),
10        'test': transforms.Compose(
11            [transforms.Resize([224, 224]),
12                transforms.ToTensor(),
13                transforms.Normalize(mean=[0.485, 0.456, 0.406],
14                                  std=[0.229, 0.224, 0.225])])
15        }
16    data = datasets.ImageFolder(root = data_folder, transform=transform['train' if train else 'test'])
17    data_loader = torch.utils.data.DataLoader(data, batch_size=batch_size, shuffle=True, **kwargs, drop_last = True if train else False)
18    return data_loader
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