Anomaly detecting and visualization about anomaly-seg HOT 2 CLOSED

I'll try to repeat your questions to make sure I understand what you're asking.

• How do I generate the prediction image in the visualization? We simply feed in the image and ask the model to predict which of the in-distribution classes is present for each pixel.
• How do we select a threshold for plotting whether or not something is anomaly? We plot the ROC or PR curves and based on what target precision you're aiming for you can select theta based on that.
• How do we plot the anomaly scores? Let's take MaxLogit as an example. For each pixel after being passed through the model you obtain an array of predictions. Select the max among that array. You now have 1 value per pixel. This can be plotted on grey scale or we can use the viridis color scheme as we chose to do as it is more visually pleasing to readers.

Hope that answers all of your questions. I will close this issue tomorrow if there are no follow-up questions :)

from anomaly-seg.

You solved all my questions，thank you very much for your answer.

from anomaly-seg.