26.10.2019, 01:51
Yes, Temporaldegrain is now working fine, and eliminating grain quite well with the default settings. I'll run some more tests to see if everything is OK.
Let me point out a couple of bugs in KNLmeansCL:
1) Selecting any channel other than "auto" or Y gives an error. If I select YUV or UV, the encoding crashes with a message that the filesize is too small. I'll send the debug log if you need, although you could probably replicate it yourself.
2) Selecting any weighing function other than the default (Welsch) seems to cause no effect on the output file. That is, I see the GPU working, the encoding finishes with no errors, but the output file doesn't get denoised at all, and visually seems identical to the input file. Even if I crank up the denosing strength.
Let me point out a couple of bugs in KNLmeansCL:
1) Selecting any channel other than "auto" or Y gives an error. If I select YUV or UV, the encoding crashes with a message that the filesize is too small. I'll send the debug log if you need, although you could probably replicate it yourself.
2) Selecting any weighing function other than the default (Welsch) seems to cause no effect on the output file. That is, I see the GPU working, the encoding finishes with no errors, but the output file doesn't get denoised at all, and visually seems identical to the input file. Even if I crank up the denosing strength.