❓How can i train a model without abnormal data? about anomalib

[samet-akcay]

Hi @mashuai191, I see that you commented out the following line in your config

#test_split_mode: from_dir # options: [from_dir, synthetic]

If you set this to synthetic, anomalib would generate some synthetic abnormal images using your normal data. You could then you the segmentation task. Hope this helps!

[mashuai191]

thanks @samet-akcay @blaz-r for your help! i will try at the weekend.

[blaz-r]

Hello. All models implemented inside Anomalib support training without abnormal data. I am able to train the model with your config, could you share more details what seems to be the problem on your end?

[mashuai191]

hi @blaz-r,
thanks for reply! yes i can train without abnormal data, but i cannot get the localization/segmentation. please see the attached sreenshot.
seems segmentation labels are required for training? if so that is superised training then?

BR, Shuai Ma

[blaz-r]

Hello. No, labels are not required and Padim is an unsupervised model. You should get segmented results inside the results folder. If that is what your screenshot depicts, could you please post the entire image (heatmap, ground truth...).