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This repository has been archived by the owner on Jan 12, 2024. It is now read-only.
You don't need to do anything. When you just train the model on MNIST data, the script first checks whether you have MNIST data within the directory. If it is not there, it downloads it automatically and creates an anomaly dataset from it.
For instance, when you run sh experiments/run_mnist.sh, the dataset will be downloaded if it is not in the directory.
-------------- End ----------------
Traceback (most recent call last):
File "train.py", line 46, in
main()
File "train.py", line 35, in main
dataloader = load_data(opt)
File "/home/kerb/ganomaly/lib/data.py", line 73, in load_data
opt.anomaly_class = int(opt.anomaly_class)
ValueError: invalid literal for int() with base 10: '{0..9}'
Hi, @samet-akcay
How can I entered mnist data to ./data folder ?
It needs ubyte type? or npz type?
from @bemoregt.
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