MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.
Hi! First of all, thanks for your work on this repo! While trying to get it to work, appart of having some issues with the dependencies (kudos to the issue #29 for the requirements.txt), I had issues reading the .mat files with the indices and the groundtruth. I could solve it by adding the -v7 option while saving them in line 21 of trans_img2label.m and line 42 of script_index_gen.m, which saves the data in Matlab's v7 binary data format. Apparently my version of SciPy (1.10.1) had issues trying to load it, since the default version wasn't recognized).
Hi! First of all, thanks for your work on this repo! While trying to get it to work, appart of having some issues with the dependencies (kudos to the issue #29 for the requirements.txt), I had issues reading the .mat files with the indices and the groundtruth. I could solve it by adding the
-v7option while saving them in line 21 oftrans_img2label.mand line 42 ofscript_index_gen.m, which saves the data in Matlab's v7 binary data format. Apparently my version ofSciPy(1.10.1) had issues trying to load it, since the default version wasn't recognized).