(args)
| 22 | |
| 23 | |
| 24 | def get_data(args): |
| 25 | transforms = torchvision.transforms.Compose([ |
| 26 | torchvision.transforms.Resize(80), # args.image_size + 1/4 *args.image_size |
| 27 | torchvision.transforms.RandomResizedCrop(args.image_size, scale=(0.8, 1.0)), |
| 28 | torchvision.transforms.ToTensor(), |
| 29 | torchvision.transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5)) |
| 30 | ]) |
| 31 | dataset = torchvision.datasets.ImageFolder(args.dataset_path, transform=transforms) |
| 32 | dataloader = DataLoader(dataset, batch_size=args.batch_size, shuffle=True) |
| 33 | return dataloader |
| 34 | |
| 35 | |
| 36 | def setup_logging(run_name): |
no outgoing calls
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