Philipp Schlegel

icon company University of Cambridge icon location postdoc working on neurons, circuits and connectomes; 🐘 @[email protected]

Results 165 comments of Philipp Schlegel

Make clustering methods use parallel threads

http://sebastianraschka.com/Articles/2014_multiprocessing.html#multi-threading-vs-multi-processing

Make clustering methods use parallel threads

https://stackoverflow.com/questions/41920124/multiprocessing-use-tqdm-to-display-a-progress-bar

Make clustering methods use parallel threads

Quick initial tests show 2-10fold increase in speed for e.g. reroot, pruning and clustering

Make clustering methods use parallel threads

Partially implemented with commit 46f933ce7f0e97738820efa37d79b5a144da4af2

SOLVED: "Could not load the Qt platform plugin "xcb" in "" even though it was found"

Thanks Jasper! Will leave the issue open in case anybody else stumbles over this. Might also add it to the trouble-shooting section of the docs.

Add interface with Blender

Could also make a UI part of that module

Add interface with Blender

Basic interface added with commit f689e1c6b2deddec01d029defc756a9f69d28038

Add interface with Blender

I reopened this issue for tracking additional feature suggestions regarding the Blender integration after the initial implementation.

Add interface with Blender

Reimport from Blender back to Python as `core.CatmaidNeuron/List` object: this would allow to load a neuron into Blender, manipulate (i.e. cut or prune) and then bring it back to Python....

Add interface with Blender

Upon initialising `b3d.handler`, add new method `plotb3d()` to `core.CatmaidNeuron` and `core.CatmaidNeuronList`. Can be defined within the `b3d` module.