Release v2.0.0-A · gianni-rosato/svt-av1-psy
github.com
Hi there! We're back with a new micro-release format to announce some exciting changes in SVT-AV1-PSY v2.0.0-A! 🎉 PSY Updates Features The CRF range, previously capped at 63, has been extended to ...

Hi there! We’re back with a new micro-release format to announce some exciting changes in SVT-AV1-PSY v2.0.0-A! 🎉

PSY Updates

Features

  • The CRF range, previously capped at 63, has been extended to a maximum value of 70. It can also be incremented in quarter increments of 0.25
  • New option: --enable-dlf 2 for a slower, more accurate deblocking loop filter
  • New option: --qp-scale-compress-strength (0 to 3) which sets a strength for the QP scale algorithm to compress values across all temporal layers. Higher values result in more consistent video quality
  • New option: --frame-luma-bias (0 to 100) enables experimental frame-level luma bias to improve quality in dark scenes by adjusting frame-level QP based on average luminance across each frame

Quality & Performance

  • A temporal layer qindex offset has been added to Tune 3 for more consistent quality across frames when encoding
  • Minor speed bump to Preset 8
  • Dynamic delta_q_res switching implemented to help reduce signaling overhead, which should improve quality especially at CRF ≥40
  • Other general improvements to Tune 3

Documentation

  • PNG images have been replaced with smaller lossless WebP images, resulting in faster loading & repository cloning times.
  • More consistent & thorough PSY Development page, including build instructions

Bug Fixes

  • Help menu formatting adjusted for less frequent underlining
  • --progress 2 no longer reports the same information as --progress 3

Other

  • Introducing PSY Micro-releases! Each micro-release will be marked with a letter, bringing a bundle of new features & improvements. The release letter will reset back to the initial A each time our mainline version is updated. More info can be found in this project’s README & the PSY Development page

Thanks for using SVT-AV1-PSY! ♥️

Full Changelog: https://github.com/gianni-rosato/svt-av1-psy/commits/v2.0.0-A

  • GnuLinuxDudeEnglish
    1·
    7 months ago

    Interesting work, but are there any comparisons against normal SVT-AV1? What is the real effect or improvement with this?

    • Gianni ROPMEnglish
      2·
      7 months ago

      There are ongoing comparisons that are almost always favorable. If you personally don’t feel the same way, you can simply use vanilla SVT settings within PSY.