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8th March 2016, 18:46 | #36741 | Link | |
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I need to use a GPU queue of at least 20 to avoid dropped frames with interlaced NTSC DVDs. Any less gives me occasional and "unexpected" dropped frames. After extensive testing, 20-20-6 works for me perfectly. (My setup is Win10, factory-overclocked GTX 960 and a dual core Ivy Bridge Pentium, using D3D11 windowed mode.) |
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8th March 2016, 18:52 | #36742 | Link | |
>>^^__^^<<
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8th March 2016, 18:58 | #36743 | Link | |
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9th March 2016, 01:06 | #36744 | Link |
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Hi, using 2d ssim causes a lot of dropped frames for me. In the stats its listed twice (like this 'ssim 2d100 ar < ssim 2d100 ar') and render times go way up. 1d ssim works fine and is listed in the stats only once as expected. Is that normal for 2d?
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9th March 2016, 01:31 | #36748 | Link |
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Here you go. Seems to only happen when supersampling 1080p > 1080p. Works as expected when doubling eg 720p and downscaling to 1080p.
http://imgur.com/vrtHks6 |
9th March 2016, 01:43 | #36749 | Link | |
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SSIM 1D is about twice as fast as SSIM 2D, that's normal. SSIM 2D is quite intensive because it uses Jinc kernel for downscaling. My GTX 960 finds it too demanding generally as well, just stick to 1D until you get something faster. Better use of resources to have more NNEDI3 neurons than using SSIM 2D IMO. Last edited by ryrynz; 9th March 2016 at 02:06. |
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9th March 2016, 02:10 | #36750 | Link |
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In all other doubling / downscaling scenarios, 2d works fine (as does jinc), only adds around 2-3ms to render times. When supersampling render times shoot up into the 80s ms with 2d, from around 35ms with 1d. Jinc downscaling also shows the same behaviour when supersampling, its in the osd twice and render times shoot up into the 80s.
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9th March 2016, 02:17 | #36751 | Link | |
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9th March 2016, 02:22 | #36752 | Link |
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If it was so demanding it would be the same downscaling 4k to 1080p, but with the 4k samples i have i can use 2d ssim downscaling absolutely fine (GTX950), well below maximum render times (and its only in the osd once). This issue only happens with supersampling.
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9th March 2016, 02:23 | #36753 | Link | |
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i was just saying that this option increase a little my render times, without this option checked i having some glitches...
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9th March 2016, 02:30 | #36754 | Link | |
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madshi, this will probably be addressed regarding the OSD, but Jinc AR shows up in the OSD when supersampling and downscaling using Jinc with no AR. It shows Image doubler = Jinc AR < Jinc. |
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9th March 2016, 02:36 | #36755 | Link |
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When supersampling, doubling 1080p and downscaling back to 1080p with 1d, using super-xbr to double, and using superres 3 and crispen edges to enhance, i get around 35ms render times. Downscaling with 2d it shoots up into the 80s. That can't be normal. Like i said, all other doubling scenarios 2d only adds around 2-3ms to what 1d costs, and same goes for downscaling 4k native to 1080p, no trouble at all using 2d, again only adds 2-3ms to what 1d costs.
Last edited by iSeries; 9th March 2016 at 02:45. |
9th March 2016, 03:13 | #36756 | Link | |
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Last edited by ryrynz; 9th March 2016 at 04:31. |
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9th March 2016, 07:11 | #36757 | Link |
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Hey guys.. so , with Madvr.. If I want to use it, I have to stick with the 32-bit.
What do I use to decode 10bit hevc 4K to then connect with Madvr, because my downstairs computer is not fast enough using the 32bit Lav filter to CPU decode that. I'm a Madvr diehard.. I just thought this would be the place to post this, since you guys are also sticking with 32bit for madvr..
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Tags |
direct compute, dithering, error diffusion, madvr, ngu, nnedi3, quality, renderer, scaling, uhd upscaling, upsampling |
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