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Questions on the Outlier Detection #7
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Hi @limzh123 , Yes, you can load your trained model with the eval_openset.py script, which will estimate outliers on the test examples of the dataset which has been trained on and several other datasets. You will then get percentages etc. back. I'm not sure if I understand correctly, but it may be that you are asking for a function that predicts whether a single image is an outlier or not? In principle, you should be able to craft this yourself quite easily though. Given your pre-trained model, you can basically take the first half of the eval_openset script and get your Weibull distributions/models. Alternatively: if my understanding is correct you pretty much want the 7 lines in
but replace the "sample z" part with a value from the encoder for your image and then do the distance + outlier calculations in the lines below. Kindly let me know if this was your question. |
Hi, yea this was my question. Thanks for your explanation. |
Hi, I have a question about outlier detection.
After executing the OpenVAE, can we know which image is the outlier?
I really appreciate any help you can provide.
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