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AV1
#1
The AV1 codec has become very popular.

I hope you will add "NEW" codec/filter ("drivers") with AV1 support?
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#2
av1 encoders Hybrid currently supports atm.:
  • aomenc
  • rav1ve
  • svt-av1
  • QSVEnc (requires Intel GPU; only in dev build available atm.) (Supported on Windows only atm.)
I plan to add av1 support through NVEncC once I get my hands on one of the NVIDIA 40xx cards, but both the 4090 and 4080 cards are way out of my budget range (unless I win the lottery).

This should already cover every free available av1 encoder I know of.
=> If you can name additional av1 encoders that are free, have a command line interface and supports piped input, I can look into supporting them.

Cu Selur
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#3
you didn't understand me again

fresh versions needed

not these old ones - they are experimental - not stable
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#4
Dev version should be up-to-date, but you can simply replace the binaries if the command line interface didn't change.

Cu Selur
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#5
(12.11.2022, 10:23)Selur Wrote: Dev version should be up-to-date, but you can simply replace the binaries if the command line interface didn't change.

Cu Selur

Would a simple file replacement help?

without adjustments in the settings?

O_O.........
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#6
Yes
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#7
Anyone tried theĀ --fp-mt=1 usage for better Threading yet? Will it speed up encoding a bit 6Core /12 Threads? Will the Video Quality drop like settings up tile columns and rows in AOM? I dont want to use chunked encoding yet, because i only have 16 GB of RAM, when i use chunked encoding with filters on, 2 gb ram left, vspipe will eat all of my RAM.

Greetings
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#8
I only did a few tests with SD and 4k content and couldn't find any speed gain when using --fp-mt=1, not sure whether there are any other requirements for it to do something. (Side note: when using chunked encoding, make sure to lower the threads count)

Cu Selur
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#9
Hi Selur, why lower the Threads count? even if i set full threads, AOM is not using all of my thread to 100% CPU Load is pending about 80%, with 2 chunks and still 12 Threads, i can get 100% cpu load all the time.
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#10
More threads mean more memory usage and overhead. Smile
If you run multiple encodes in parallel, you might want to lower the per job threads count.
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