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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: 3.2.1-1mamba
Architecture:i586
Group:Applications/Graphics
Size:187.20 kB
Upstream URL:https://github.com/Netflix/vmaf
Source RPM:vmaf
BrothersProvidesObsoletesRequiresRecommends
libvmaf
libvmaf-devel
vmaf-debug
vmaf = 0:3.2.1-1mamba
vmaf(x86-32) = 0:3.2.1-1mamba
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]
libm.so.6(GLIBC_2.43) [1]
libstdc++.so.6 [1]
libstdc++.so.6(CXXABI_1.3) [1]
libstdc++.so.6(GLIBCXX_3.4) [1]
libstdc++.so.6(GLIBCXX_3.4.11) [1]
libstdc++.so.6(GLIBCXX_3.4.21) [1]
libstdc++.so.6(GLIBCXX_3.4.9) [1]
libvmaf = 0:3.2.1-1mamba [1]
rtld(GNU_HASH) [1]
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