Hi, On Thu, Jul 13, 2017 at 8:50 AM, Ralf Gommers <ralf.gomm...@gmail.com> wrote: > > > On Thu, Jul 13, 2017 at 6:16 PM, Stefan van der Walt <stef...@berkeley.edu> > wrote: >> >> Hi everyone, >> >> As many of you know, speed has been a point of contention in >> scikit-image for a long time. We've made a very deliberate decision to >> focus on writing high-level, understandable code (via Python and >> Cython): both to lower the barrier to entry for newcomers, and to lessen >> the burden on maintainers. But execution time comparisons, vs OpenCV >> e.g., left much to be desired. >> >> I think we have hit a turning point in the road. Binary wheels for >> Numba (actually, llvmlite) were recently uploaded to PyPi, making this >> technology available to users on both pip and conda installations. The >> importance of this release on pypi should not be dismissed, and I am >> grateful to the numba team and Continuum for making that decision. > > > Agreed. Note that there are no Windows wheels up on PyPI (yet, or not > coming?). Given that there are no SciPy wheels for Windows either I don't > think that that changes your argument much - people should just use a binary > distribution on Windows - but I thought I'd point it out anway.
We might be close to a working scipy wheel - discussion evolving over at https://github.com/scipy/scipy/issues/7551#issuecomment-314922271 If we do succeed, that would make the lack of a numba wheel for Windows much more significant. Does anyone know Continuum's plans in this matter? Is the numba wheel recipe open-source? Cheers, Matthew _______________________________________________ scikit-image mailing list scikit-image@python.org https://mail.python.org/mailman/listinfo/scikit-image
