Comments (1)
Julian-Wyatt
commented on May 29, 2024
- Yeah exactly those however I think the testing data is now closed or locked as others have since reported.
- Again, yes exactly, it was more efficient to open the file with the library in python (can't remember the name of it, I must import it in my datasets.py file) and then save the processed images as npy files.
- If you want to handle this the same as I did, I wrote a directory scraper to loop over all the files and save them - although don't believe I uploaded that with this repository.
- I've uploaded a screenshot of a minimal case. The datasets.py file should loop through the contents of those directories as the training, test and anomalous data sources.
If you have any further questions, please let me know
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Related Issues (20)
- some doubts about the principle of the diffusion model HOT 1
- some quesion about detection HOT 5
- some questions about DDPM HOT 1
- Some problems with running detection HOT 2
- Batch Size HOT 3
- Where is the file of args used in the paper? HOT 2
- How Train and Test is split. HOT 2
- comparasion_models HOT 5
- What is a directory raw_cleaned ? HOT 7
- about the training time cost HOT 1
- Some problems about data HOT 1
- Encountered Access Issue of E-mail HOT 1
- Package Versions / Install Requirements? HOT 1
- how to get testData HOT 2
- high CPU usage discovered in training stage HOT 1
- result for MVTec HOT 1
- Asking about "import Comparative_models.CE as CE" HOT 2
- Problem about saving .mp4 files during training process HOT 3
- Access to training args.json used in the paper
- Pre-trained data HOT 1
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