Netflix/vmaf
Perceptual video quality assessment based on multi-method fusion.
Repository profile
Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF, VIF)
Repository updates
Get generated slhck/ffmpeg-quality-metrics development summaries by email, or follow the weekly and monthly RSS feeds.
Sign in to subscribe by email. RSS feeds are public.
Sign in to subscribeTracked growth, recent movement, and commit velocity from stored repository snapshots.
Latest capture 2026-07-18 03:08
3 captures since 2026-06-17
Stars from baseline 0
All tracked data
Frameworks, package managers, ecosystems, and dependency manifests found during catalog scans.
Scanned 2026-07-18 03:08
pyproject.toml
python ecosystem,
10 dependencies
uv.lock
python ecosystem,
44 dependencies
Searchable topics, generated tags, and stack labels that explain where this repository fits.
Agent instructions and tool configuration paths found in the repository tree.
Nearest indexed repositories by embedding similarity.
Perceptual video quality assessment based on multi-method fusion.
Python script to easily compute VMAF using FFmpeg. It allows to deinterlace, scale and sync Ref and Distorted video automatically
SkyReels-V2: Infinite-length Film Generative model
A fluent API to FFMPEG (http://www.ffmpeg.org)
SoftVC VITS Singing Voice Conversion
VQMT: Video Quality Measurement Tool. Fast implementations of the following objective image quality metrics: PSNR, SSIM, MS-SSIM, VIFp, PSNR-HVS and PSNR-HVS-M.