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Hi, I want to apply the GuidedGradCam with ResNet50:
`model = models.resnet50(pretrained=True)`
`model.eval()`
` input = torch.rand(2, 3, 224, 224)`
` ig = GuidedGradCam(model, model.layer4)`
` a…
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Hello, I am trying to apply the gradcam inspired by your code to my resnet3D model.
I keep getting error while calculating the Gradients in the following line :
conv_outputs, predictions = grad_…
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Hello, do you know where I can find the dataset? what type of input dataset which you are using? Thank you.
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It is useful to know who is using scikit-image when planning funding proposals. I was looking a little into how one can extract information such as that presented in [GitHub's dependents view](https:/…
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When installing as recomended `python -m pip install -U giotto-deep` it installs the latest versions of torch and other packages, it does not install `torch==1.12.1`
And this causes basic_tutorial_…
WurmD updated
7 months ago
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We are not providing target layer as a kwarg, by automatically locating candidate layer. So, I think we have two choices for the next step
- keep this policy and remove unnecessary kwargs such as `at…
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Hi,
Currently, the project seems to be relying on grad-norm and grad-x-input to obtain the attributions. However, there are other arguably better (as discussed in recent [work](https://arxiv.org/abs…
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Hi, I implemented the following CNN model in PyTorch and was testing the different model explanation methods in captum. Most of the methods seem to be working fine but when I tried gradcam using the …
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I tried putting a NoiseTunnel around the GuidedGradCam attribution. The resulting attribution are just zeros, which is not what I would have expected. Is this a bug? Am I missing something about eithe…
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Hi,
I have a network which outputs a tuple containing two elements. one of them is a scalar which is the one I want to use for multiple methods in captum.
Is there any way to handle multiple outputs…