Comments (5)
ymmshi
commented on August 20, 2024
I have solved this problem, just downgrade the version of torchvison, umm, or edit the requirements.txt as
torch==0.4.0
torchvision==0.2.1
tqdm==4.23.4
visdom==0.1.8.3
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JiweiTian
commented on August 20, 2024
I'm having the following issue, Any help is appreciated.
http.client.UnknownProtocol: HTTP/2.0
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lzzlxxlsz
commented on August 20, 2024
hello，have you run the code successfully?
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samet-akcay
commented on August 20, 2024
Hi, the repo has been updated. Can you check if you still encounter the same issues?
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samet-akcay
commented on August 20, 2024
I'm closing this issue since the latest commit should resolve this. Please reopen if you still encounter the same issue with the latest stable version.
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Related Issues (20)
- how can i balance the model HOT 7
- how can i see the result of test?? HOT 1
- How to distinguish a mnist_pic is normal or anomaly? HOT 17
- Sudden increase of err_d HOT 1
- Changes for Windows10
- Some qutestions about testing
- can it display where is the anomaly when inference? HOT 1
- what is the difference between fixed_fakes_*.png and fakes.png
- Is the testing function missing self.netg.eval? HOT 5
- AttributeError: module 'torch._C' has no attribute '_cuda_setDevice' HOT 4
- What's the performance of the model in terms of custom dataset?
- Can this code be used on sequence data? HOT 1
- How to use ganomaly neural network for single-channel data training
- Program stucks when the input image size is 224x224 HOT 2
- Experiment(To replicate the results in the paper for MNIST and CIFAR10 datasets)
- Testing
- Possible mode collapse HOT 1
- Test problem HOT 2
- Missing net.eval() in the testing code HOT 1
- ROC is changed every time
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