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fmassa avatar fmassa commented on June 3, 2024 1

@RaymondKirk if the abstractions around detectron2 makes it harder to use with Captum, you could try considering using the detection models in torchvision, which can be imported and used without a trainer / config system.

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NarineK avatar NarineK commented on June 3, 2024

Thank you for the questions, @RaymondKirk ! Do you want to understand the predictions or do you want to use attributions as an edge detector, how do you see it to be used with Detectron2 ?

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RaymondCM avatar RaymondCM commented on June 3, 2024

@NarineK Detectron2 provides a simple way to run popular detection and segmentation models, the forward pass is generally wrapped in a general trainer function, so isn't too trivially used with this package. I think it would help a lot of people understand how to use this package if an example was made with a Detecron2 model (or even a standard PyTorch model), and would really enhance this repo! So my question was mostly wondering if there's any plans for including more advanced deep detectors RCNNs etc in the examples?

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RaymondCM avatar RaymondCM commented on June 3, 2024

@fmassa Thank you for your input, I'll close this issue as it was merely a sugestion for enhancement.

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