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This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.

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Hey, thanks for a great job, but this is new to me. So what I want to ask is how do I test the weights that I've trained.

@marco-rudolph Hi, Thank you for your nice work! I want to know that, can your work of differnet or cs-flow can be used to find small exceptional points in X-ray...

Just run python main.py, I have the following issue: "z_grouped = torch.cat(test_z, dim=0).view(-1, c.n_transforms_test, c.n_feat) RuntimeError: shape '[-1, 64, 768]' is invalid for input of size 262144" could you help...

Hello, I noticed that the final output of your code is the anomaly score. How can I locate the defects on the test image?