Install this package:
emerge -a media-libs/libvmaf
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask media-libs/libvmaf
Or alternatively:
emerge --autounmask-write -a media-libs/libvmaf
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 9999 | 8 | ~amd64 ~loong ~riscv ~x86 | 0 |
| 3.0.0 | 8 | amd64 arm64 ~loong ~riscv x86 | 0/3 |
| 2.3.1 | 8 | ~amd64 ~loong ~riscv ~x86 | 0 |
<pkgmetadata> <maintainer type="person" proxied="yes"> <email>adel.ks@zegrapher.com</email> <name>Adel KARA SLIMANE</name> </maintainer> <maintainer type="project" proxied="proxy"> <email>proxy-maint@gentoo.org</email> <name>Proxy Maintainers</name> </maintainer> <longdescription> VMAF is a perceptual video quality assessment algorithm developed by Netflix. This software package includes a stand-alone C library libvmaf. </longdescription> <use> <flag name="embed-models">Compile default vmaf models into the library (needs <pkg>app-editors/vim-core</pkg>)</flag> </use> <upstream> <bugs-to>https://github.com/Netflix/vmaf/issues</bugs-to> <remote-id type="github">Netflix/vmaf</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p media-libs/libvmaf |
euse -E <flag> -p media-libs/libvmaf |
euse -D <flag> -p media-libs/libvmaf
| Flag | Description | 9999 | 3.0.0 | 2.3.1 |
|---|---|---|---|---|
| embed-models | Compile default vmaf models into the library (needs <pkg>app-editors/vim-core</pkg>) | ⊕ | ⊕ | ⊕ |
| test | Enable dependencies and/or preparations necessary to run tests (usually controlled by FEATURES=test but can be toggled independently) | ✓ | ✓ | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | libvmaf-2.3.1.tar.gz | 18388094 bytes | 2.3.1 |
| DIST | libvmaf-3.0.0.tar.gz | 18111853 bytes | 3.0.0 |
| Type | File | Size |
|---|