Pierre, your video card is good, for me.
It has 640 CUDA CORES. Unfortuantely only ffmpeg-nvenc use cuda core and
not for all codec, seems to me.
If you use Blender (http://www.blender.org/) and enable
ComputeDevice=YourGTX you can see that cuda cores save a lot of your
time to render a 3Dmodel/scene and your cpu% is low.
IgorBeg
Il 15/05/2019 23.22, Pierre autourduglobe ha scritto:
Yes, I am also inclined to believe that my video card is the
culprit... for the lack of frame rate. It would not be able, through
Open-GL, to decode simultaneously the 5 streams (composer + 4 mixers).
I've never played any games on my computers either... but "gamer"
cards are much cheaper than pro cards, while being relatively
powerful, and that's why I've always chosen them for video editing.
My current video card dates from 2014, it's a Nvidia GTX-750ti:
https://www.gigabyte.com/Graphics-Card/GV-N75TOC-2GI#ov
It includes 2 GB of GDDR5 memory, 128-bit memory interface and a
Bandwidth of 86.4 GB/s
If it becomes clear that it is the guilty one... I'm ready to buy
another more powerful one.
I started looking at what could be bought, which would not be too
expensive and would be compatible with my current power supply (which
I don't want to change).
I also don't know if Nvidia video cards or AMD cards would be the most
compatible and optimized for Cinelerra-GG.
Here are the models I'm considering right now:
- Nvidia GeForce GTX 1070 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
- Nvidia GeForce GTX 1660 Ti (6GB, 192-Bit GDDR6, Bandwidth 288 GB/s
- AMD Radeon RX 580 (8GB, 256-Bit GDDR5, Bandwidth 256 GB/s
- AMD Radeon RX 570 (4GB, 256-Bit GDDR5, Bandwidth 224 GB/s
But I'm not ready to buy right now....
Pierre
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