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感谢你很棒的工作,如果使用更大的数据集?例如CIFAR100?能提供可以跑多个不同数据集的训练脚本吗?谢谢
The text was updated successfully, but these errors were encountered:
@longmalongma Hi,
torchvision.datasets中提供了常见的数据集(CIFAR, VOC, Cityscapes等)。
可修改代码中的data部分:
Non-local_pytorch/demo_MNIST_train.py
Lines 9 to 14 in 57f5230
例如,修改为CIFAR100, 并设计合适输入尺寸的Network. train_data = torchvision.datasets.CIFAR100(...)
train_data = torchvision.datasets.CIFAR100(...)
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感谢你很棒的工作,如果使用更大的数据集?例如CIFAR100?能提供可以跑多个不同数据集的训练脚本吗?谢谢
The text was updated successfully, but these errors were encountered: