Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

While calculating AUC , the abnormal pixel are filtered with mask value of 0 , while in the agrivision data the anomaly pixels are masked with value of 1, am I missing something #1

Open
sambalshikhar opened this issue Oct 23, 2023 · 1 comment

Comments

@sambalshikhar
Copy link

anomaly_scores = amap[np.where(gt == 0)]

@Jingtao-Li-CVer
Copy link
Owner

Sorry for the late reply. It is indeed a little confusing. I check the code and the anomaly pixels in agrivision data are actually masked with 0. I am pleased to discuss it with you further about this problem

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants