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Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.

License: MIT License

Python 100.00%
pytorch gradcam gradcam-plus-plus grad-cam guided-backpropagation guidedgradcam visualization saliency cnn-visualization guided-grad-cam segmentation 2d 3d medical-imaging gradient-visualization gcam

gcam's Issues

update 3d segmentation demos

Hi, Karol-G,
Thanks for your work.
It seems that you have updated gcam_inject.py and modified many parameters. But the demo of 3d segmentation did not update. It is hard to run the demo. On the other hand, the nnUNet also updates class segmentation_export.py, and I can't find a suitable place to modify the source code.
Could you please update the 3d segmentation demo or write a new simple but easy to read 3d demo?
Thanks.

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