For pixel-by-pixel stuff you would probably be much (!) faster using numpy.
- Sebastian Haase On Wed, Aug 6, 2008 at 7:49 PM, Stani <[EMAIL PROTECTED]> wrote: > Op woensdag 06-08-2008 om 09:45 uur [tijdzone -0600], schreef Kristofor > Amundson: > >> My problem is that I see little to no improvement in my performance >> with the threading, even when I process the images on a machine with 8 >> CPU's. In fact, it only seems to utilize one CPU. Is this due to the >> GIL? > Probably so. > >> I am wondering if there is a way for me to properly thread this to >> improve my performance. > I use mostly subprocess pools to increase multi-core performance, but of > course this might be not evident to implement depending on the specifics > of your software. That is the only way to take advantage of multi-core > CPU (or of course stackless python). > > To speed up your existing code, you might also give psyco a try (which > is again in active development), profile your code and rewrite some > parts in cython or wait for PyPy to mature. > > Stani > > _______________________________________________ > Image-SIG maillist - Image-SIG@python.org > http://mail.python.org/mailman/listinfo/image-sig > _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig
