[Task]: How to perform training without validation

[Abhijeet99999]

Thank you !~

[willyfh]

Hello @Abhijeet99999 , by setting the val_split_mode to none, you will prevent Anomalib from validating your model during training. However, even if you don't have any anomaly mask, it is recommended to set val_split_mode to synthetic. This will generate synthetic anomalous images for validation using Perlin noise. By having the validation process, an anomaly score threshold can be adaptively selected, and then used during inference. Similarly, you can also skip the testing phase by setting the test_split_mode to none.

[Abhijeet99999]

By Changing code flow, its possible as well. Thank you very much, brother!~

[Abhijeet99999]

This will generate synthetic anomalous images for validation using Perlin noise. Where you define perline noise function in the code ?

[samet-akcay]

When you set the val_split_mode to synthetic, the code checks it and generates the synthetic anomalies here
https://github.com/openvinotoolkit/anomalib/blob/470bb860d8478298fdf3f10a530184f8cdc9c938/src/anomalib/data/base/datamodule.py#L156-L159