Re: [darktable-dev] Masking a tiff file

Hi David, please open an ticket in redmine and attach the source + xmp file. The issue looks like darktable has a wrong assumption on the image dimensions. Best wishes Ulrich Am 06.05.2017 um 12:15 schrieb David Vincent-Jones: This is the results of applying an exposure parametric mask to a

Re: [darktable-dev] Redmine bug #10333 and X-Trans demosaicking re-visited

Hi all, Coming back to this old topic, I have the next iteration of my alternative approach to X-Trans demosaicking ready. For those of you who’d like to try, the GitHub fork is at https://github.com/ILiebhardt/darktable There’s a menu item in the dem

Re: [darktable-dev] Redmine bug #10333 and X-Trans demosaicking re-visited

heya, nice results! especially the high iso one shows quite a bit more pleasant noise behaviour in the gray center patch. how bad is the performance? do you think it could be improved? does it use SIMD/openmp yet and how promising would an opencl code path be? cheers, jo On Mon, May 8, 2017 at

Re: [darktable-dev] Redmine bug #10333 and X-Trans demosaicking re-visited

Hi & thx :-) Well my machine I use for this is super-weak: intel core m3, 4.5W TDP. Very energy efficient :-( Takes around 30 sec with this machine. It uses openmp. It has basically 3 building blocks: 1. Markesteijn 1 pass for obtaining luma and directionality. 2. Some 11x11 correlation filterin

Re: [darktable-dev] Redmine bug #10333 and X-Trans demosaicking re-visited

hi, On Mon, May 8, 2017 at 6:33 AM, Ingo Liebhardt wrote: > Hi & thx :-) > > Well my machine I use for this is super-weak: intel core m3, 4.5W TDP. Very > energy efficient :-( Takes around 30 sec with this machine. > It uses openmp. okay :) that's export time on a full res image or for darkroom

Re: [darktable-dev] Redmine bug #10333 and X-Trans demosaicking re-visited

The 30 sec are export time on a full res image. For darkroom mode, it's slow but usable. It's not that abysmal. :-D I'll give you the remaining measurements tomorrow. I do think that there's hope... actually, up to now I was really focusing on the algorithm itself and on demosaicking quality. Code