I managed to make it work with 500px, it seems that graphics memory is the issue, so i had to restart the machine, kill all the processes and just leave Dainapp open then process the 500px file, I couldnt go any higher than 500px.
Is it possible to process image sequences with alpha (like png)? maybe in the future?
Hi nekodaze. The 'Section Size' and 'Section Padding' under the Split Frames section (It is beside but you got the point) is a roundabout way to render frames while using reduced memory size.
It is not recommended and I would not recommend it AT ALL. It will create artifacts in fast moving objects, smokes, and similar action scenes. It will create boxes artifacts on your entire video, like for my case, when I try to render 1920x1080 video (23 hours render), I use 450 Section Size and 150 Section Padding under the split frames section, it creates 8 equal sections on my video when it is done rendered
(only seen in high intensity scenes as mentioned before).
If you still don't get it due to my 1st class English, imagine 8 TVs with frames and all, put together to make 1 big screen. You can still see the border even though it is see-thru (like table glass color).
About the 16gb Tesla, I am currently on GTX 1070 and the maximum size it can handle is 500 Pixel.
I think the VRAM can correlate to how big the frames can be rendered in linear fashion. (Without the split frames section being selected).
I have tested a GTX 1050 with 2gb of VRAM (120-140px), 1050 ti 4gb (240-260px), and GTX 1070 8gb (480-500px).
All are tested personally by me and not taken from other sources.
If we calculate the frames that your gpu is able to make, it will be 2x bigger than mine, about 960-1000px.
I know this sounds such a turn off but it is in Alpha state, and as you can see from the error codes, you can tell it is still not yet optimized properly and needed some more time to mature.
All you can do is wait it out to be better, it is just ridiculous to think you have to spend on a 24gb gpu to render a 1080p native file without the artifacts.
And as an added bonus, I do not see any difference in rendering speed in different cpus' strength for my case. The GTX 1050 2gb uses an i5-3470, 1050 ti uses an i7-3770, and the gtx 1070 uses a Ryzen 2600. When I use the same datum settings, only 120px on all setups to match the limiting factor of 1050 2gb, all render at almost the same speed (same size,frame rate, and video duration of 30 seconds), all take about 1 hour or so to finish). I have yet to test on i3 or lower tier processor since I do not have any.
I hope this helps answer your question. I am not an expert or anything, just telling from my own collected personal data, settings and experience.
Thank you very much Noraiman, I thought it is splitting video by duration instead of picture, I never thought that a few 1080p frames would take over 16GB VRAM. Looks DAIN has a long way to go.
I've tried many different size values and I think 900px may be the limit for 16gb, very close to ur calculation. If it goes higher rendering process will be unstable, some scenes may take more memory.....Or maybe just my video bit rate is too high, each frame after extraction is about 3MB, I haven't try other video so not sure if this size is normal.
I temporarily gived up proccessing this video, for it will take about 860h to rendering 馃寶
About different CPUs, I noticed CPU usage is low after frames extraction, so yes cpu is probably have no thing to do with rendering speed.
Hi daciansolgen3,
Just a few questions first:
1. What resolution is your input media?
2. Are you using the Split Frames option? If so, what are your settings?
3. In the error message, how much VRAM does it say is reserved by other applications? How much VRAM is reserved by PyTorch and how much does it say you have left?
I can't offer much help without answers to the above questions but I'll try and give advice.
If you're running out of VRAM with a 2080Ti then I can assume your input media is larger than 1080p. When trying to interpolate these large frame sizes in DainApp and get an out of memory message, you need to turn on the "Split Frames" option under the "Fix OutOfMemory Options" Tab.
Leave the x=2 y=2 defaults and 150px padding as they are for now and try feeding the frames to Dain. If it starts rendering with no error, I'd close DainApp, then restart it, re-select all my previous options and then reduce either X or Y splits to 1.
The idea is that you want as few splits as possible whilst avoiding the OutOfMemory error.
If you still get an error at X=2 Y=2 then add 1 to either axis and try again. Keep adding 1 to one, then the other until you don't get an OutOfMemory error.
Also, using the experimental Interpolation algorithm uses more VRAM than the Default algorithm so bear that in mind.
Don't run any other GPU based program at the same time as Dain as this will reduce your available VRAM as well as increase your interpolation time. Even if a GPU intensive program has been closed, VRAM may still be reserved for that program, effectively reducing the available VRAM for other programs including Dain.
"i have power ful 2080 ti that i got from illumicorp member"
I had to look up what Illumicorp is but I would try and stick to reputable sources for GPU procurement. There have been many scams over the last couple of years selling GPU's advertised as the latest models that have been lower cost GPU's with cooler shrouds from expensive models and modified BIOS's that mean they report themselves as expensive models. Pretty much the only way you can differentiate these is firstly the idea "If it sounds too good to be true it most likely is." then seller ratings and reviews and finally Benchmarks and/or a tear-down of the physical hardware.
Maybe the first thing I would do would be to Benchmark your GPU using something like Geekbench and compare it to average CUDA Benchmark scores.
Or this post might be an r/whoosh moment
