Closed mmarras closed 2 years ago
This issue has been mentioned on Image.sc Forum. There might be relevant details there:
As of 38a52b3381efc496c0391d12cc197ab6885900c9, the new doc
folder goes into more technical details with better organization. Also, more notebooks are nearing completion; will reply again here about that soon. But it still won't reach the level of your request, @mmarras. The PyImageJ developers aren't bioimage analysts, we're research software engineers, and so we don't have in-depth real-world image analysis workflows. There have been a couple posted on forum.image.sc, but no one is curating them. It could be you, if you want to contribute.
That would be worthwhile to pick up. You have a recommendation on where to start?
Any update? Otherwise?
I'd also be interested in seeing a (curated) list of real-world use cases for pyimagej
(maybe right in the README?).
One example is https://github.com/PMEAL/porespy that uses some ImageJ filters via pyimagej
.
@mmarras @imagejan I have pushed some improvements to the READMEs. There is now a section collecting real-world examples; see doc/examples/README.md
. It's pretty bare, but you are welcome to add more items to the list.
There is also a new doc/README.md
that links to the numbered tutorial sequence, as well as reference documentation.
If you feel anything is missing, you can reply back here, or open a new issue.
Dear all,
I'd like to see a more in-depth how-to-use pyimagej. I have followed the recommendation to raise use questions at image.sc. Please see here for my recent post to ask for more explanation on how-to-use
run_marco()
. The feedback rate is very low, i.e., none for pyimagej.Maybe improvements can be twofold: