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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.
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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.
| Nome: | vmaf |
| Versione: | 3.0.0-1mamba |
| Architettura: | i586 |
| Gruppo: | Applications/Graphics |
| Dimensione: | 196,25 kB |
| URL di origine: | https://github.com/Netflix/vmaf |
| RPM sorgente: | vmaf |
| Collegati | Fornisce | Rende obsoleti | Richiede | Raccomanda |
|---|---|---|---|---|
| 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] |
