Comments (6)
Also, if you were so kind to explain how you processed the
Magnetic Tile Defects
dataset I would really appreciate it. All images in this dataset seem to have random size. I have not found these details in your paper.Thank you very much in advance anyway.
The images were just resized to 448x448, 224x224 and 112x112 pixels without any padding or cropping.
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@marco-rudolph But you are positive that the default setup in this repo reaches
0.84
sometimes, right?
Yes.
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Thanks for your interest!
Indeed, for our method, the grid class is a bit the problem child in this dataset. In fact, the training there is very unstable, which can result in different scores each run.
I don't think the environment makes a big difference.
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@marco-rudolph But you are positive that the default setup in this repo reaches 0.84
sometimes, right?
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Also, if you were so kind to explain how you processed the Magnetic Tile Defects
dataset I would really appreciate it. All images in this dataset seem to have random size. I have not found these details in your paper.
Thank you very much in advance anyway.
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Thank you very much for your feedback!
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Related Issues (20)
- How to test? HOT 1
- Few-shots HOT 1
- when set grad_map_viz to be True, I got a mistake: rotate() got an unexpected keyword argument 'reshape' HOT 6
- How to train anomaly data set to improve accuracy ? HOT 2
- Error in running dummy dataset HOT 2
- size issue in anomaly score HOT 1
- error when I run command HOT 1
- AttributeError: 'ImageFolderMultiTransform' object has no attribute '_find_classes' HOT 4
- How to train a model for several classes? HOT 2
- How to improve accuracy of the localisation of anomalies at gradient map? HOT 1
- The work can be used in finding small exceptional points in images? HOT 5
- Can this work process one channel pics? HOT 1
- Qualitative results between CS-Flow and DifferNet on MTD dataset HOT 1
- Why is the loss function negative HOT 2
- Test after training HOT 1
- train loss HOT 1
- Question about using FrEIA instead of custom NF codes. HOT 1
- Train loss might be negative during training, what does this situation mean?
- Is it normal for the train loss to often be negative? HOT 1
- How can I locate the defects on the test image? HOT 1
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