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add occlusion sensitivity to 2d and 3d classifications #47
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Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com>
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com>
Now that Project-MONAI/MONAI#1099 has been merged, this can go in, too. The only problem is that the occlusion code isn't part of a tagged release yet, so presumably won't be available if the notebook contains, e.g.,:
which the 2D classification tutorial does... |
that's a good point, one option would be pip install the tested commit directly
but if the notebooks depend on different commits this repo becomes messy... @ericspod @Nic-Ma |
I would be in favour of removing the |
We do want to include tutorials into the future based on experimental features or at least those not on a current version. If we leave the |
Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com>
I've moved the discussion of pip installs to issue #50, and in the meantime removed them from the notebook in this PR. As such, think this is good to be merged. |
) * add occlusion sensitivity to 2d classification Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com> * add 3D occlusion example Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com> * remove pip installs Signed-off-by: Richard Brown <33289025+rijobro@users.noreply.github.com>
Example of 2D occlusion sensitivity. Requires Project-MONAI/MONAI#1099