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nuclearboy95 / Anomaly-Detection-PatchSVDD-PyTorch

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Evaluate model problem #14

Open ygjwd12345 opened 3 years ago

ygjwd12345 commented 3 years ago

Thanks for your great work. In main_evaluated.py the result is shown as print( f'| K64 | Det: {det_64:.3f} Seg:{seg_64:.3f} | K32 | Det: {det_32:.3f} Seg:{seg_32:.3f} | sum | Det: {det_sum:.3f} Seg:{seg_sum:.3f} | mult | Det: {det_mult:.3f} Seg:{seg_mult:.3f} ({obj})') However, in the paper, you report Random Encoder, Raw Patch and L2-AE. Is there some relationship between them?

nuclearboy95 commented 3 years ago

Hi, thanks for your comment.

Well, the codes in this repo is basically for training and evaluating Patch SVDD model. You can reproduce the random encoder result by executing evaluation without training.

Thanks.