vmaf VS ssimulacra2

Netflix did VMAF for this: https://github.com/Netflix/vmaf

It checks a reference video against an encoded video and returns a score representing how close the encoded video appears to the original from a human perspective.

Not sure this is the right sub but I'm going to encode my entire BluRay collection in AV1 / NVEC. I'd like to optimize settings with VMAF but would like an ubuntu/debian based GUI to work with.

VMAF for anybody that doesn't know quantifies the quality difference between a source and modified video.

Netflix even has a method to measure perceivable quality difference. A little while ago I used this tool to calculate this.

Well you can use something like https://mediaarea.net/en/MediaInfo to look at the files and https://github.com/Netflix/vmaf to see if there is no loss.

Vmaf exists

You can try some tests https://github.com/Netflix/vmaf

You can try VMAF as well (which ffmpeg supports). It's normally recommended to make a lossless copy first as a baseline too

https://github.com/cloudinary/ssimulacra2?tab=readme-ov-file... shows a higher correlation with human responses across 4 different datasets and correlation metrics for 1

Very well written. As others have suggested, you should do a followup using modern perceptual quality metrics like VMAF and ssimulacra2.

I was thinking about that too. Can't answer the question, but I did come across this just the other day: https://github.com/cloudinary/ssimulacra2 Supposedly good for comparing image similarity. Might depend on your use-case, I think it's geared towards image quality moreso than similar photos.

That's the kind of feedback I was looking for, thanks. I usually go by eye, but at 14:1, I was expecting a blurry artefact-ridden mess, and it just didn't look all that bad at first blush.... I'll definitely check out ssimulacra2, thanks for the suggestion. I also need to sit down and do some proper pixel-peeping on a better screen... I think my monitor falls into the 'HD-aren't' class of HDR displays, so I'm likely missing detail somewhere. My purpose is archival, I want to preserve quality but not needlessly waste drive space on less efficient codecs. I'm not concerned by the resultant bit rate, so long as it has improved compression efficiency over the original.

The fork to build - rust-av/ssimulacra2_bin | original release (works on images only) with a lot of info about the metric - cloudinary/ssimulacra2