aom-av1-lavish VS intro-skipper

Yeah you are right, I was looking at the wrong branch in git(the one with the latest commit is https://github.com/Clybius/aom-av1-lavish/tree/Endless_Merging).

Various tunes have been added: https://github.com/Clybius/aom-av1-lavish/wiki/Tune-Comparison

git clone https://github.com/Clybius/aom-av1-lavish

The aom-av1-lavish fork can address this as well with the proper settings

I had never heard of aom-av1-lavish before, so I looked it up:

If you want to explore potentially better photon noise, you can compile lav1sh's fork of aomenc and you'll end up with photon_noise_table.exe (in the 'examples' folder) which supports chroma blending when generating tables and can potentially match your source better. You can follow this guide https://www.reddit.com/r/AV1/comments/s6eh5f/how_to_compile_av1_in_windows_without_crying/ but use "git clone https://github.com/Clybius/aom-av1-lavish/" or we have a compiled photon_noise_table.exe in the #community-builds channel in the discord.

As of November 9th 2022, rav1e for quality consistency, and aom-av1-psy for maximum fidelity in heavy grain scenes and low end performance: https://github.com/Clybius/aom-av1-lavish

A good encoder will look deeper to improve, and deeper, a bit more deeper, DEEPER

you could always cut up the video into segments A,B,C,D,E using like ffmpeg -ss 00:00:00 -t 00:10:00 -i input -c copy A.ext (where A is the first 10 minutes of video) and then recombine with https://trac.ffmpeg.org/wiki/Concatenate, might take a while though and some basic math. maybe you could do something programatically with chromaprint by identifying the repeating audio segments? that's just an idea since that's what this jellyfin plugin does to identify repeated segments of shows in the form of opening credits.

Is anyone using the modified web interface for the Intro Skipper plugin https://github.com/ConfusedPolarBear/intro-skipper/blob/master/docs/web_interface.md with Unraid?

You mean the beta software with many bugs? Not remotely acceptable in my opinion. https://github.com/ConfusedPolarBear/intro-skipper/issues

Make sure to follow the instructions - Here

Download and extract the latest modified web interface from GitHub actions Click the most recent action run In the Artifacts section, click the jellyfin-web-VERSION+COMMIT.tar.gz link to download a pre-compiled copy of the web interface. This link will only work if you are signed into GitHub.

I believe you would have to install the modified web interface to get the prompt to skip the intros. Instructions to install the modified web interface if you run Jellyfin as a container: https://github.com/ConfusedPolarBear/intro-skipper/blob/master/docs/web_interface.md

Please read through the installation instructions on the README and the instructions for using the modified web interface (method 2 is what I helped improve).