19 lines
745 B
Python
19 lines
745 B
Python
from torchvision import datasets, transforms
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def QMNIST(data_path):
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channel = 1
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im_size = (28, 28)
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num_classes = 10
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mean = [0.1308]
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std = [0.3088]
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transform = transforms.Compose([transforms.ToTensor(), transforms.Normalize(mean=mean, std=std)])
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dst_train = datasets.QMNIST(data_path, train=True, download=True, transform=transform)
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dst_test = datasets.QMNIST(data_path, train=False, download=True, transform=transform)
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class_names = [str(c) for c in range(num_classes)]
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dst_train.targets = dst_train.targets[:, 0]
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dst_test.targets = dst_test.targets[:, 0]
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dst_train.compat = False
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dst_test.compat = False
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return channel, im_size, num_classes, class_names, mean, std, dst_train, dst_test
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