Jonas Windhager

Note to myself: the current implementation of closing *doesn't* treat all labels equally, e.g. for the following case (closing 1's would make the 2 disappear, closing 2's would keep it):...

@mjseignon Unfortunately, I don´t think there is an easy way around this at the moment, other than working on smaller image tiles. You can try using the `steinbock utils tile...

Hi @mjseignon, I fear I don't have an answer for you. I have changed position and therefore handed over the development on this project to @Milad4849, the current maintainer of...

I've also reported this here: https://github.com/BodenmillerGroup/steinbock/issues/196

Thanks for reporting this - tensorflow by now should support M1, but it may be that deepcell still uses an old version. I'll check and report back here.

I was wrong, tensorflow within linux Docker on M1 doesn't seem to work at the moment, sorry.

Hi @caucheteux, thanks for pinging us here about this! We are currently testing a few routes how to make this work (emulating the amd64 platform on M1, providing containers specifically...

Quick update: using `--platform linux/amd64` works in principle, but - as expected - the tensorflow build is "broken " in this case (compiled with AVX support), so running deepcell segmentation...

Quick update: It has been confirmed that an amd64-without-AVX build such as [this one](https://github.com/yaroslavvb/tensorflow-community-wheels/issues/209) works indeed, albeit very slow (HT to Will Chen from UCSF). The preferred solution would still...

Hi @jul1an-o, sorry for the delay. Just briefly writing to let you know that I'm currently traveling and will respond in 2 weeks the latest. Meanwhile, maybe the current steinbock...