| import torchvision | |
| import torchvision.transforms as transforms | |
| print("Loading EMNIST dataset...") | |
| train_data = torchvision.datasets.EMNIST( | |
| root='datasets/emnist', | |
| split='byclass', | |
| train=True, | |
| download=False, | |
| transform=transforms.ToTensor() | |
| ) | |
| print(f"Training samples: {len(train_data)}") | |
| print("EMNIST loaded successfully!") |