Hello!.
I downloaded version 2.0.1 (DEMO) because I have seen that increased processing speed, but to process 700fotos timelapse x 3 (3 raw photos in HDR bracketing) (raw of canon 5d Mark III- 24 Mpx) the batch process is eternal 10 hours!!!!!, very very slow despite the improvement.
it will improve in the future to use the GPU cuda cores ?. I have 12 threads 6nucleos- i7980x3,33 CPU, 24GB of RAM and Nvidia Quadro 4000 and SSDs.
It is true that now the CPU is set to 100% in each HDR image processing of the series But only when SNS-HDR make the tonemapping, only in a part of each HDR and, then to process a timelapse (braqueting 3 photos) takes 10 hours !!!!! yes, you heard right 8-10 hours !!!! (600-700 images).
I want to buy the program but I need to know if there is any way to shorten this process (now and in the future).
I want to buy a new CPU +50% or more faster than i7 980x and a new GPU. this will speed up the process?
be used cuda cores in the future ?.
Someone can give an example of the process with the new Intel processors.
Standard bracketing processing speed test:
12 HDR (3 Raws fotos in bracketing X 12) (specify megapixel raw used and your CPU).
in my case 12 minutes with equipment used, in your case?
I'm thinking i7 6900K 8 cores. It would be a great pleasure if you do this test of processing speed.
MY TEST:
MODE: batch process.
PC: i7 980x 3,33Mhz (6 cores) + nvidia quadro4000.
IMAGES: 12 x3 Bracketing images (36 raws of 24 Megapixel
RENDER OR PROCESSING TIME: 11 minutes .... with this by extrapolation 700 x 3 photos (HDR) = 8-10 hours ..... by
Please put your time with this test 12 HDR PC and remember to note that you have and size of your Raws, etc.
Sebastian and I want to ask you if this is going to improve, whether to use GPU, multi thread, etc to improve speed or not. depends on the post of the comrades and what tell us. I want to buy the program. IN Spain there are too many people that I know that want to buy (forma like Canonistas, timelapseweb.com, HDSLR.com, etc, etc)
thank you very much and congratulations for the excellent program, hopefully we accelerate to do timelapse that we are many "timelapsers"