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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.
Provided files
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: | x86_64 |
| Group: | Applications/Graphics |
| Size: | 192,03 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(x86-64) = 0:3.0.0-1mamba | libc.so.6(GLIBC_2.38)(64bit) [1] libgcc_s.so.1()(64bit) [1] [2] libgcc_s.so.1(GCC_3.0)(64bit) [1] [2] libm.so.6()(64bit) [1] libm.so.6(GLIBC_2.2.5)(64bit) [1] libm.so.6(GLIBC_2.27)(64bit) [1] libm.so.6(GLIBC_2.29)(64bit) [1] libstdc++.so.6()(64bit) [1] [2] libstdc++.so.6(CXXABI_1.3)(64bit) [1] [2] libstdc++.so.6(GLIBCXX_3.4)(64bit) [1] [2] libstdc++.so.6(GLIBCXX_3.4.11)(64bit) [1] [2] libstdc++.so.6(GLIBCXX_3.4.21)(64bit) [1] [2] libstdc++.so.6(GLIBCXX_3.4.9)(64bit) [1] [2] libvmaf = 0:3.0.0-1mamba [1] rtld(GNU_HASH) [1] |
