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13th April 2014, 05:29 | #25901 | Link | |
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a 1080p29 interlaced stream with telecine is normally called telecine in this forum to make the difference clear but the stream is still interlaced. of cause this doesn't change all the fakt you have stated above proper deinterlacing creates 50/60 fps even with a 3:2 telecine source. a very clear high quality BD with 1080p29i and 2:2 cadence is deinterlanced to 59p with duplicated frames thanks to the inverse telecine function of nvidia and thanks to the pulldown detection of amd. but in the end a stream like this should be watched with MadVR IVTC or in very rare cases just as progressive. Last edited by huhn; 13th April 2014 at 05:54. |
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13th April 2014, 12:16 | #25902 | Link |
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I figured that it might help madshi and those who want to keep track of the thread if a survey was created which allowed people to enter render times, settings and GPU in a formatted manner.
To achieve that, I created a public survey. The spreadsheet is linked upon submission of some render times. If anyone has questions, suggestions or problems with the survey, feel free. I chose a default setting which is probably a realistic benchmark for everyday use of NNEDI3. Last edited by Procrastinating; 13th April 2014 at 12:19. |
13th April 2014, 12:35 | #25904 | Link | |
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Luma doubling is its real power and its real visible advantage over the other modes. Also, madVR cannot make use of multiple GPUs, mentioning the whole CF/SLI stuff just overcomplicates it.
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13th April 2014, 14:15 | #25907 | Link | |
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13th April 2014, 14:40 | #25909 | Link |
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His one pre-defined settings string suggested NNEDI for chroma upscaling, and thats what I meant.
Chroma doubling is probably in a similar boat, though.
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13th April 2014, 15:20 | #25910 | Link | |||
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I included crossfire because madshi said that while he isn't trying to work on it, he is not trying to prevent it either. I think it would be interesting nonetheless to see if crossfire performance improves or degrades over time, for when/if madshi wants to start working on crossfire. The main draw for this I think, besides providing more efficient data for madshi, would be to track performance in various scenarios and hardware configs over time. If I can sort out a nice way to both input and parse information quickly and painlessly with this, it could become quite a handy tool for everyone. I'm thinking about seeing if I can parse specific GPUs and compare their characteristics against rendering times with this system. Of course, the spreadsheet is free for anyone to make use of as well. Last edited by Procrastinating; 13th April 2014 at 15:23. |
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13th April 2014, 18:57 | #25912 | Link | |
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I'd also include GPU usage apart from rendering times, since with NNEDI you get a penalty from just enabling it and increasing neurons doesn't increase the render times that much, especially on stronger GPUs. Then you just take the results, group them by target (screen's) resolution and settings (presets) to compare them pretty easily. That's of course just my opinion, but I hope it proves useful for you. Last edited by michkrol; 13th April 2014 at 19:48. |
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13th April 2014, 20:07 | #25913 | Link |
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Would it be possible to have the OSD display which profile is active when playing please. And to also highlight said active playing profile in the MadVR settings window.
I have to currently look at my GPU usage and temp to work out what's going on. I'm not a very technical user so something as simple as a line on the OSD and a highlight over the profile in settings would be really useful. |
13th April 2014, 20:14 | #25914 | Link | |
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Showing active profiles in OSD would be kind of impractical, since you can have multiple profiles groups, hence multiple active profiles at once (up to 9 right now). |
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13th April 2014, 20:14 | #25915 | Link | ||
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So this is rather impractical for the OSD. Quote:
PS: michkrol was faster
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13th April 2014, 20:57 | #25917 | Link |
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Regardless of whether or not I'm upscaling from 720p to 1440p, NN looks like crap. The image is fuzzy and aliased as hell. I realize the theory behind NN for a 1:1 mapping in this scenario, but it does not work out for me.
In my opinion, for anime especially, NNEDI3 is the obvious champion. Even at only 16 neurons, it increases sharpness drastically while keeping aliasing low, even if it is undoubtedly more aliased than jinc, to my eyes. Still as I said, I believe it keeps the aliasing to a minimum, so only if you find yourself extremely sensitive to aliasing should you bounce back and forth between NNEDI3 and Jinc to determine what you find more pleasing. Spline and Lanczos are still great, but I believe they should be reserved for weaker hardware setups. To me, everything else is deprecated. And again, this has been my opinion |
13th April 2014, 21:23 | #25918 | Link | ||
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I am unable to run it on my A10-7850K. It crashes with the following error instantly: Quote:
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13th April 2014, 21:52 | #25919 | Link |
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It would be worse since the larger the screen resolution is compared to the resolution of the source image the larger the number of pixels that must invented to fill that higher resolution in the process of interpolating the image. Generally speaking I think that an image that has thousands of guesses as to what should be in those pixels is less desirable than an image that has hundreds of guesses. Unless, of course, there is something seriously awry with my understanding of how scaling is done.
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Tags |
direct compute, dithering, error diffusion, madvr, ngu, nnedi3, quality, renderer, scaling, uhd upscaling, upsampling |
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