Open VineethMindtrace opened 3 months ago
Sorry I didn't fully understand your question. Do you want a "probability" score within 0-1? Image-level anomaly score in our paradigm the max cosine distance of each image, which is not like conventional classification model with softmax output.
How can you compute an anomaly score for each image between 0-1?