Parallelize sphere-fitted curvature computation

[haesleinhuepf]

It should be possible to parallelize the computation of the sphere-fitted curvature by parallelizing this for loop:

napari-process-points-and-surfaces/napari_process_points_and_surfaces/_quantification.py

Line 239 in a6c9113

for idx in range(mesh.N()):

Hints:

• https://haesleinhuepf.github.io/BioImageAnalysisNotebooks/03_advanced_python/parallelization.html#parallelization-using-joblib-parallel
• https://www.dominodatalab.com/blog/dask-step-by-step-tutorial

[jo-mueller]

Hi @haesleinhuepf ,

I played around with this in another context and I think joblib parallelization could do the trick. The syntax is also quick simple:

from joblib import Parallel, delayed

list_of_results = Parallel(n_jobs=-1)(delayed(function_to_parallelize)(arg for arg in list_of_arguments))

will try to put it in a PR.