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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.
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 |
| Group: | Applications/Graphics |
| Maintainer: | silvan |
| License: | BSD |
| Size: | 16,82 MB |
| Upstream URL: | https://github.com/Netflix/vmaf |
| Build time: | 2025-01-16 21:06:50 |
Binary packages and requirements
| x86_64 | aarch64 | i586 | |
|---|---|---|---|
| Built RPMS | libvmaf libvmaf-devel vmaf vmaf-debug | libvmaf libvmaf-devel vmaf vmaf-debug | libvmaf libvmaf-devel vmaf vmaf-debug |
| Build requirements | glibc-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
| Date | Packager | Release | Description |
|---|---|---|---|
| 2025-01-16 | silvan | 3.0.0-1mamba | - package created using the webbuild interface |
