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<div class="moz-cite-prefix">Den 17.10.2024 13:51, skrev Andrew
Randrianasulu:<br>
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<div dir="ltr" class="gmail_attr">чт, 17 окт. 2024 г., 13:40
Terje J. Hanssen <<a
href="mailto:terjejhanssen@gmail.com"
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<div>Den 14.10.2024 00:38, skrev Andrew Randrianasulu:<br>
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<div dir="ltr" class="gmail_attr">пн, 14 окт.
2024 г., 01:36 Phyllis Smith <<a
href="mailto:phylsmith2017@gmail.com"
target="_blank" rel="noreferrer"
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class="moz-txt-link-freetext">phylsmith2017@gmail.com</a>>:<br>
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style="font-size:small">Andrew, so it
seems prudent to check into GIT, the
av1_vaapi.mp4 render format (after
successfully tested of course); but what
about the QSV encoders?<br>
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<div dir="auto">wait for Terje's testing OR try to
build oneVPL-cpu (it sort of circles back to
different branch of ffmpeg, so ffmpeg will think
it uses qsv but it in fact will use another ffmpeg
.... well, in theory! it does not work for me on
32-bit!)</div>
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I wonder if Hw accellerated encoding support via Vaapi
and QSV is to be embedded in future Cingg Appimage
and/or packages if possible?<br>
What about a list of supported dGPUs/iGPUs?<br>
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<div dir="auto">Problem is - QSV/vaapi basically search for
driver component and this one might be in different location
on different distros, and interface between two also not set
in stone.</div>
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<div dir="auto">For appimage you can just unpack them and remove
libva.so so on startup cingg will link to system's libva.</div>
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<div dir="auto">QSV as we learned is another layer with their
own runtime path for yet another set of driver components. So,
while building libvpl itself is relatively easily making sure
it finds its drivers is not easy (at least for me).</div>
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<div dir="auto">speaking about GPU list I think it will be
fairly short, you,Phyllis and Andrea probably only ones who
use it and report back. Stephan noticed some troubles and
reverted back to software. I can test nvdec/nvenc on livecd
but this is not my everyday setup (Nvidia proprietary drivers
enforce 64-bit system).</div>
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<div dir="auto">But well, feel free to post short summary of
that works on your GPUs in cingg as another thread, hopefully
others will chime in!</div>
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If we get available a packaged Cingg test build (rpm/Leap for me),
it would be more useful to do this test. Then I have available three
gen. Intel, legacy Skylake/Kabylake iGPUs and current DG2/Arc GPU. I
also have/had a Nvidia GPU on Skylake, but it looks like it past
away.<br>
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<div dir="ltr" class="gmail_attr">On Sun,
Oct 13, 2024 at 2:36 PM Andrew
Randrianasulu via Cin <<a
href="mailto:cin@lists.cinelerra-gg.org"
rel="noreferrer noreferrer"
target="_blank" moz-do-not-send="true"
class="moz-txt-link-freetext">cin@lists.cinelerra-gg.org</a>>
wrote:<br>
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<div dir="auto">hopefully with very silly
top-line-as-comment error fixed
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<div dir="auto">SORRY!</div>
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-- <br>
Cin mailing list<br>
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