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:	3.0.0-1mamba
Architecture:	i586
Group:	Applications/Graphics
Size:	196,25 kB
Upstream URL:	https://github.com/Netflix/vmaf
Source RPM:	vmaf

Brothers	Provides	Obsoletes	Requires	Recommends
libvmaf libvmaf-devel vmaf-debug	vmaf = 0:3.0.0-1mamba vmaf(x86-32) = 0:3.0.0-1mamba		libc.so.6(GLIBC_2.38) [1] libgcc_s.so.1 [1] [2] libgcc_s.so.1(GCC_3.0) [1] [2] libm.so.6 [1] libm.so.6(GLIBC_2.0) [1] libm.so.6(GLIBC_2.1) [1] libm.so.6(GLIBC_2.27) [1] libm.so.6(GLIBC_2.29) [1] libstdc++.so.6 [1] [2] libstdc++.so.6(CXXABI_1.3) [1] [2] libstdc++.so.6(GLIBCXX_3.4) [1] [2] libstdc++.so.6(GLIBCXX_3.4.11) [1] [2] libstdc++.so.6(GLIBCXX_3.4.21) [1] [2] libstdc++.so.6(GLIBCXX_3.4.9) [1] [2] libvmaf = 0:3.0.0-1mamba [1] rtld(GNU_HASH) [1]

Provided files