Comments (4)
Thank you to star the project!
I have a question, is it possible to select which layer of the model we want to visualize these explainability effects? Instead of just using the last one.
I assume that you want to know how to visualize other than the last convolutional layer with Gradcam , Gradcam++ or Scorecam. (If I misunderstand, please point it out.)
To do so, you can use penultimate_layer
option of Gradcam#__call__()
below.
tf-keras-vis/tf_keras_vis/gradcam.py
Line 29 in c493e4c
If you specify the name or index of the layer you want to visualize, the CAM corresponding to the layer will be generated.
Please see the API document below for details.
Thanks!
from tf-keras-vis.
Hello @keisen!
Yes, you understood me perfectly. And I have checked that your solution works well. Is it possible to do this in Saliency?
If not, why is that so?
Thanks a lot and kind regards,
Borja
from tf-keras-vis.
Is it possible to do this in Saliency? If not, why is that so?
Although both methods can locate the region of the arbitrary object in input image, the ways are different.
To visualize gradcam needs the output values of and the gradient with respect to the layer.
On the other hand, to visualize saliency map need the gradient with respect to model input.
That's, Saliency does NOT need the information about the intermediate layer.
Thanks!
from tf-keras-vis.
Thanks a lot! @keisen
I close this issue!
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Related Issues (20)
- 'NoneType' object has no attribute 'ndim' HOT 1
- AttributeError: 'NoneType' object has no attribute 'ndim' HOT 1
- 'Tensor' object has no attribute 'ndim' HOT 1
- scorecam seems to be weighting all feature maps equally
- How to output the visualization intermediate layer
- TypeError: '<=' not supported between instances of 'int' and 'str'
- Add a Citation widget to the repo HOT 1
- Feature request: Support Python 3.10 HOT 4
- if vision transformers are supported ?
- cannot use BinaryScore HOT 3
- How to use the package with one dimensional data? HOT 1
- Problems with TF 2.9 HOT 2
- Incorrect implementation of LayerCam HOT 1
- It does not work with models with custom layers. HOT 3
- Reconstruction Error Score? HOT 2
- 'Tensor' object has no attribute 'ndim' HOT 5
- Tutorials on using 3D data
- GradCAM does not detect correct convolutional layer in multi-input case HOT 1
- Is it possible to compute the full inference at the same time as the activations? HOT 2
- value_range param is ignored
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