Johannes Soltwedel

> And I'm not exactly sure how to make it user-friendly accessible. Where this is concerned, I would deliver it as an image layer on top of the result label...

> so that we can use the same trained Random Forest Exactly - this shouldn't be a separate feature/plugin in apoc, but rather appear along with the semantic segmentation. >...

I was just referring to the definition from above, which is probably not mathematically strict but gives a reasonable information about whether the classifier is having trouble. For this, the...

Hey @haesleinhuepf , > do you know what happens if one installs cudatoolkit=11.3 on a computer that has no NVidia GPU? haven't tried it, but I would suspect that it...

I'm not sure whether it's related, but sounds a bit like it: I have pyshtools in the dependencies of [another package](https://github.com/BiAPoL/napari-stress), the github CI for which fails with a numpy...

Very likely. Among the changes for 0.5.0 that were presented last week at the CZI plugin grantee meeting, they announced to stop supporting npe1 plugins, which would go for this...

I added two PRs to napari-matplotlib that, at the very least, make it compliant (style-wise) with what we are doing in the clusters plotter. In that sense, we could already...

Hi @kevinyamauchi @haesleinhuepf , > How about confidence intervals? https://contrib.scikit-learn.org/forest-confidence-interval/ https://jmlr.org/papers/v15/wager14a.html very cool find! I wrote a quick notebook (rf classifier from sklearn, raw image, gaussian (sigma=2) & sobel as...

Following up on that: It would be nice to have the option for additional annotations, since the framework to obtain the correct position is already in place. What I'm missing...

@marcomusy Thanks for looking into this - I also didn't know about the `mesh.clean`command. Thanks a bunch! That being said, would you think it desirable to replace the torus dataset...