On 02/08/2011 02:39 PM, Christoph Gohlke wrote: > > > Please consider the attached patch for the _image.frombyte function. It > avoids temporary copies in case of non-contiguous input arrays. Copying > a 1024x1024 slice out of a contiguous 4096x4096 RGBA or RGB array is > about 7x faster (a common case for zooming/panning). Copying contiguous > RGB input arrays is ~2x faster. Tested on win32-py2.7. > > Christoph >
Thank you! Looks good, speeds up zooming and panning on large images as advertised. An 8000x8000 image is actually manageable now. interpolation='nearest' is still very slow until the image is substantially zoomed, but everything is quite quick with other interpolation styles. The slowness of 'nearest' looks like a basic characteristic of the implementation. I committed the patch in 8966. Before that I found and committed a big speed-up in Normalize. Eric ------------------------------------------------------------------------------ The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE: Pinpoint memory and threading errors before they happen. Find and fix more than 250 security defects in the development cycle. Locate bottlenecks in serial and parallel code that limit performance. http://p.sf.net/sfu/intel-dev2devfeb _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
