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请问作者的实验中,train_cls.py的epoch设置为多少?因为train_cls.py中的epoch默认是1,直接运行的结果和论文中差很多。考虑到有可能是和n_ctx_ab写反了,epoch改成100后,虽然roc值有提升,可是和论文里还是有写差距。比如在MVTec数据集上2-shot情况,我跑出来的结果是93.48,而论文中对应的结果是95.7上下1.5(94.2~97.2)。
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what's package or anything others did I need to install
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Hello Alessio,
I'm Emilie, a PhD student in deep learning. I'm really interested in the anomaly detection model, and FastFlow seems really promising. I'm trying to develop my own version to make it w…
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Hello, have you ever tested the mvtec dataset accuracy?
I tested the auroc of the carpet category with only 0.49,It is very different from the paper.
Is there any guidance and suggestions ? Thanks…
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Thanks you code. Do you have results of AU-ROC of MVTec 3D?
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(EfficientAD) E:\PycharmProjects\EfficientAD-main>python mvtec_ad_evaluation/evaluate_experiment.py --dataset_base_dir E:\Dataset\anomaly_detection\mvtec_anomaly_detection\mvtec_anomaly_detection\ --a…
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您好,异常图像是怎么生成的呢?我运行一遍代码生成的结果是mvtec数据集自带的text图像,没有生成新的。具体那个py文件是生成异常的呢?
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hi, may i ask how to get the mask in the DefectMaker part, When i tested items[mask], there is nothing, and mask_size is None,
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![image](https://github.com/user-attachments/assets/6ddc3f85-fe0a-4d9b-8637-fe65c67ee2e6)
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尊敬的作者和各位大牛,我现在尝试使用自己的数据集来进行异常检测,参照MVTEC的格式,test目录下有good和dmg目录,train下只有good目录。修改mvtec.py生成我自己数据集的meta.json后,我发现meta.json确实是train/good/目录下的图片信息,但是训练的时候似乎用的是test目录下的图片数据,因为我修改了train/good目录下的图片,发现训练没有改变,但…