Open hrudaykolla opened 1 month ago
This link in anomalib docs might help you: how to train with normal images only, you will have a single folder and synthetic anomalies for validation (or you can skip validation and test step entirely). You might also want to take a look at this paper, Table 3, to see how Padim works with just 10 anomalous images in the training data.
What is the motivation for this task?
Describe the solution you'd like
I would like a data module that accepts the images as a single folder. The results should be segmentation masks of the same images with no metrics as such.
Additional context
No response