Information about tiling on custom dataset

openvinotoolkit / anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

https://anomalib.readthedocs.io/en/latest/

Apache License 2.0

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Information about tiling on custom dataset #2069

Closed LorenzoF6 closed 1 month ago

LorenzoF6 commented 1 month ago

Hi, i'm new in the anomaly detection tasks and i'm trying to understand the mechanism behind tiling on the anomalib's library and i have several question to ask about it.

all model support tiling or some of them ? which one ?
if i have a custom dataset of 1024x2014 image resolution, tiling is needed to improve the model's performance? thank you all for the response in advance

blaz-r commented 1 month ago

Check the docs for tiling info.

But to answer your questions:

models currently supported are: Padim, Patchcore, STFPM, Reverse Distillation.
main goal of tiling is to enable processing of higher resolutions - this usually results in a better performance, however if you compare against the same resolution that is not tiled, then usually this is not the case.