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support for conv3d #52
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It does. N dim inputs should work in fact. Do you have a gist that shows otherwise? |
Yes. I'm trying basic example:
and it throws like that:
correct me if I'm wrong, it seems the problem with dimensions of tensors |
Ah I see what's going on. Python 3 pip is not up to date. That assert statement was very old code. Try installing from the source instead. |
Thank you, however, during same example (I changed visualize_activation => visualize_class_activation) I've got:
|
Probably comment out the |
Thank you, you are right, also I fixed stitched images to handle 3d->2d, and it's great! |
Can you PR the new and improved stitched images :D? |
Check that you are up-to-date with the master branch of keras-vis. You can update with:
pip install git+git://github.com/raghakot/keras-vis.git --upgrade --no-deps
If running on TensorFlow, check that you are up-to-date with the latest version. The installation instructions can be found here.
If running on Theano, check that you are up-to-date with the master branch of Theano. You can update with:
pip install git+git://github.com/Theano/Theano.git --upgrade --no-deps
Provide a link to a GitHub Gist of a Python script that can reproduce your issue (or just copy the script here if it is short).
Hello, thanks for a great package, I found out that current version does not support 3d images (conv3d) which is expected, but it would be great if you could add this feature.
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