How to visualization the anomaly map?

[Zigars]

I want use your code in my own dataset, but I do not know how to visualization the anomaly map.
So I can't see the detection results derectly. Can you give me some advice?

[gathierry]

basically, you just need to convert the output to a numpy array, then draw a heatmap with matplotlib

[Zigars]

Actually, the anomaly_map's datas are like this:

I don't know how to caculate this anomaly_map from a normalization flow, and the original paper doesn't mention how to get the anomaly_map, even loss function haven't mention either. I'm confuse about these problem.

[gathierry]

if this is your anomaly map then each value is the anomaly score for each pixel, just draw a heatmap of it