Quote:I note you select "fast". Would slower be beneficial to quality?
Slower modes are usually not worth it and tend to smooth more unless you adjust the settings. This might be interesting. I usually stick with 'fast' as preset and only adjust it if I notice problems.
Quote:KNLMeansCL d=0 - is this distance?
Yes
Cu Selur
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Dev versions are in the 'experimental'-folder of my GoogleDrive, which is linked on the download page.
KNLMeansCL device type was set to auto.
device type setting "accelerator" had an output but had what looks to be reference blocks.
My available setting are only Auto, GPU, and accelerator. I'm missing all the others including CPU. I would think this would be the correct setting if present.
Device type:
Select the device which should do the processing.
CPU := An OpenCL device that is the host processor.
GPU := An OpenCL device that is a GPU.
ACCELERATOR := Dedicated OpenCL accelerators.
DEFAULT := The default OpenCL device in the system.
ALL := All OpenCL devices available in the system.
(Default: DEFAULT)
then it's useless.
The _Report-files are useless for but reports (they are just for uer amusement and hold no meaningful data for debugging).
read: https://forum.selur.net/thread-3.html
All graphics updated Intel UHD 770 128 MB VRAM 16 GB Shared (I can't find info on if more vram is needed
I'm going to look at bios and see if I can increase)
C++ visual is version 14.44 (link provides 14.04 but i wouldn't think there's a backward compatibility issue)
This crash seems to come from FFmpeg rejecting the video metadata from Vapoursynth during piping.
In auto or gpu, the script below suggests that cuda is being utilized.
core.std.LoadPlugin(path="C:/Program Files/Hybrid/64bit/vsfilters/DenoiseFilter/KNLMeansCL/vsnlm_cuda.dll")
When I use accelerator it runs through but i don't have an accelerator and the result is defective.
core.std.LoadPlugin(path="C:/Program Files/Hybrid/64bit/vsfilters/DenoiseFilter/KNLMeansCL/KNLMeansCL.dll")
vsnlm_cuda.dll
KNLMeansCL.dll
Is there a way to keep from loading CUDA in the core? I think its safe to say this is the problem. I can't get Hybrid to recognize KNLMeansCL.dll to load in the core.
Could you assist with manual change instruction?
Auto, GPU, and Accelerator fully process, but all 3 result in the image below. Previously this result was from Accelerator mode. I'm guessing this is a mapping setup for future processing.
Upload parameters are picky which is why I've attached zip folders.