lib32-libvmaf on AUR (Arch User Repository)
Last updated: November 25,2024
1. Install "lib32-libvmaf" effortlessly via AUR with the help of a helper(YAY)
a. Install YAY (https://github.com/Jguer/yay)
$
sudo pacman -S --needed git base-devel && git clone https://aur.archlinux.org/yay.git && cd yay && makepkg -si
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b. Install lib32-libvmaf on Arch using YAY
$
yay -S
lib32-libvmaf
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* (Optional) Uninstall lib32-libvmaf on Arch using YAY
$
yay -Rns
lib32-libvmaf
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2. Manually Install "lib32-libvmaf" via AUR
a. Ensure you have the base development tools and git installed with:
$
sudo pacman -S --needed
base-devel git
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b. Clone lib32-libvmaf's git locally
$
git clone https://aur.archlinux.org/lib32-libvmaf.git
~/lib32-libvmaf
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c. Go to ~/lib32-libvmaf folder and install it
$
cd
~/lib32-libvmaf
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$
makepkg -si
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3. Information about the lib32-libvmaf package on Arch User Repository (AUR)
ID: 1415459
Name: lib32-libvmaf
PackageBaseID: 152679
PackageBase: lib32-vmaf
Version: 3.0.0-1
Description: Perceptual video quality assessment algorithm based on multi-method fusion - library (32 bit)
URL: https://github.com/Netflix/vmaf/
NumVotes: 3
Popularity: 0
OutOfDate:
Maintainer: oxalin
Submitter: oxalin
FirstSubmitted: 1589288433
LastModified: 1708906009
URLPath: /cgit/aur.git/snapshot/lib32-libvmaf.tar.gz
Name: lib32-libvmaf
PackageBaseID: 152679
PackageBase: lib32-vmaf
Version: 3.0.0-1
Description: Perceptual video quality assessment algorithm based on multi-method fusion - library (32 bit)
URL: https://github.com/Netflix/vmaf/
NumVotes: 3
Popularity: 0
OutOfDate:
Maintainer: oxalin
Submitter: oxalin
FirstSubmitted: 1589288433
LastModified: 1708906009
URLPath: /cgit/aur.git/snapshot/lib32-libvmaf.tar.gz