A-Hierarchical-Transformation-Discriminating-Generative-Model-for-Few-Shot-Anomaly-Detection
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Paris datase: Number of scales in training does not correspond number of scales in evaluation
I have been playing with this repo for a while now, and could train both CIFAR, and MNIST, with great evaluation performance.
The problem is in the Paris dataset (DataLoader, maybe?) - while it produces 5 scales in training (0-4), as for MNIST and CIFAR. I expect it to evaluate on these scales, and only these (0-4)
The problem is that while I am trying to evaluate Paris dataset - it looks for a 6th scale (6) and thus crashes (couldn't find the 6th pth file)
The fix might be very simple, but first I want to make sure that I am not missing something.
Does anyone have any insights about this issue?