cvlab-yonsei / MNAD

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.
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I want to check for 0 or 1 per frame. #36

Open RohDonghyeon opened 3 years ago

RohDonghyeon commented 3 years ago

I found that the anomaly score was calculated for each frame in Evaluate.py. Finally, the AUC value was also confirmed.

However, for qualitative analysis of results, i want to identify TP, TN, FP and FN for each frame. In conclusion, in order ro know which frame is judged as normal or anomaly, i want to know which part of the code to look at and understand.

Thank you.