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vmaf: Perceptual video quality assessment based on multi-method fusion

VMAF is an Emmy-winning perceptual video quality assessment algorithm developed by Netflix. This software package includes a stand-alone C library libvmaf and its wrapping Python library. The Python library also provides a set of tools that allows a user to train and test a custom VMAF model.
Name:vmaf
Release: 3.1.0-1mamba
Group:Applications/Graphics
Maintainer:silvan
License:BSD
Size:16.96 MB
Upstream URL:https://github.com/Netflix/vmaf
Build time:2026-04-06 15:02:34
Source files
vmaf-3.1.0-fix-avx2-32bit.patch
vmaf-3.1.0-upstream-fix-32bit-build.patch
vmaf-3.1.0.tar.bz2
vmaf.spec
Binary packages and requirements
x86_64aarch64i586
Built RPMSlibvmaf
libvmaf-devel
vmaf
vmaf-debug
libvmaf
libvmaf-devel
vmaf
vmaf-debug
libvmaf
libvmaf-devel
vmaf
vmaf-debug
Build requirementsglibc-devel [1]
libgcc [1]
libstdc++6-devel [1]
glibc-devel [1]
libgcc [1]
libstdc++6-devel [1]
glibc-devel [1]
libgcc [1]
libstdc++6-devel [1]
History of changes
DatePackagerReleaseDescription
2026-04-03Automatic Build System 3.1.0-1mamba- automatic version update by autodist
2025-01-16silvan3.0.0-1mamba- package created using the webbuild interface