This is the official repository to the WACV 2021 paper "Same Same But DifferNet: Semi-Supervised Defect Detection with Normalizing Flows" by Marco Rudolph, Bastian Wandt and Bodo Rosenhahn.
I have read the article and wanted to try this approach with the MVTec dataset. However, I could not be able to understand how to test it with the pre-trained model. I tried to run main.py and it started training initially but what I wanted is testing with the pre-trained model. How can I do this?
I have read the article and wanted to try this approach with the MVTec dataset. However, I could not be able to understand how to test it with the pre-trained model. I tried to run main.py and it started training initially but what I wanted is testing with the pre-trained model. How can I do this?