Ashwin Vaidya

@jpcbertoldo I am trying to understand this. We currently support passing the model class to the feature extractor https://github.com/openvinotoolkit/anomalib/blob/main/tests/pre_merge/models/test_feature_extractor.py#L76. Is what you are trying to achieve different from this? Yeah...

1. So if I understand your use case then this line should be modified to make it more flexible https://github.com/openvinotoolkit/anomalib/blob/6b5f4c79c15e4a6c47c93b946d84d430028f8674/anomalib/models/components/feature_extractors/torchfx.py#L113 If I change this line to `backbone_model = backbone_class(**backbone.init_args)` then...

@jpcbertoldo like @Anurag-Shah mentioned just changing the import does not work. There are a few more places where we have to make changes. I haven't investigated it thoroughly but for...

Closing as this will be addressed by https://github.com/openvinotoolkit/anomalib/pull/1879

I tried this on my system as well. The tests are passing locally. Even I am not able to reproduce the issue thrown in the CI 

@jaegukhyun unfortunately there has been no update. We are currently working on updating the model export and integrating the pre/post-processing steps in the model graph. But this issue i s...

> Is it fast? I haven't benchmarked this yet but I can say that this isn't the fastest. It uses the input image to set model input tensor info. But...

`Patchcore` does not work with `SerialRunner` as rich progress bar clashes with corset subsampling's progress bar.

> For some reason I keep getting rich.errors.LiveError: Only one live display may be active at once when trying to run the benchmark, although I'm only using Padim. I'll have...

The old methods do not work with the new API as there have been significant changes. Once issue https://github.com/openvinotoolkit/anomalib/issues/2219 is addressed it will be easier to upgrade this notebook.