AHL
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Code problems
Thank you for your excellent work!I encountered a few problems when replicating the code, and hope to get your answers, thanks!
- In the step3, augmentation features need to be extracted, for example in datasets/cutmix_feature_extraction.py, SemiADNet code is not provided, is it a DRA or DevNet model?
- In addition, the feature and featuer_scale extraction processes are not provided in the code. Therefore, I need to write a script to extract and save the original features?
- In lines 60-68 of AHL-main/datasets/mvtecad.py, it does not seem to properly group data belonging to the same cluster in normal_data. In the internal loop, it always obtains data from the start position of normal_data, rather than the index in self.cluster_index[i], which affects the subsequent construction process of support set - query set pairs. @Diana1026
Hello, I have encountered each of your problems when reproducing them. Have you solved them?
+1