52 lines
1.9 KiB
Ruby
52 lines
1.9 KiB
Ruby
class Libvmaf < Formula
|
|
desc "Perceptual video quality assessment based on multi-method fusion"
|
|
homepage "https://github.com/Netflix/vmaf"
|
|
url "https://github.com/Netflix/vmaf/archive/v2.3.1.tar.gz"
|
|
sha256 "8d60b1ddab043ada25ff11ced821da6e0c37fd7730dd81c24f1fc12be7293ef2"
|
|
license "BSD-2-Clause-Patent"
|
|
|
|
bottle do
|
|
sha256 cellar: :any, arm64_ventura: "ddf330046166c9f25ad89679d04bc12375d3ad8b4454edeebb2e39667af53dce"
|
|
sha256 cellar: :any, arm64_monterey: "780fe80d3941971968a0dfe1f8384fc5fc240e9994b09da41175a7d5fc56b513"
|
|
sha256 cellar: :any, arm64_big_sur: "76b4b46c07bde41001d5dd6660de656c369b1cf9653638538348e97ffaeec55f"
|
|
sha256 cellar: :any, ventura: "433acd17cf9b2bc4aca330fd9f27d32e2edbc62445df948fcf6030ec20fb47a4"
|
|
sha256 cellar: :any, monterey: "a30aaf6bd5878809c3dec5f47d643e4adbda5811a13f5a20d21a3472d5151e2a"
|
|
sha256 cellar: :any, big_sur: "60fb7784b39ae2aff9a836f08190637e9c7f2ac32755ed24ec3f5ddbac916c64"
|
|
sha256 cellar: :any, catalina: "99db9a406ddacb8ca0c157dbea53eb12a29ced66091f2af820ae8bf9bc9802cd"
|
|
sha256 cellar: :any_skip_relocation, x86_64_linux: "6697226f2c628ce462531ad546f8152b264f29151710cdb064659ac321cb92a4"
|
|
end
|
|
|
|
depends_on "meson" => :build
|
|
depends_on "ninja" => :build
|
|
|
|
on_intel do
|
|
depends_on "nasm" => :build
|
|
end
|
|
|
|
def install
|
|
Dir.chdir("libvmaf") do
|
|
system "meson", *std_meson_args, "build"
|
|
system "ninja", "-vC", "build"
|
|
system "ninja", "-vC", "build", "install"
|
|
end
|
|
pkgshare.install "model"
|
|
end
|
|
|
|
test do
|
|
(testpath/"test.c").write <<~EOS
|
|
#include <libvmaf/libvmaf.h>
|
|
int main() {
|
|
return 0;
|
|
}
|
|
EOS
|
|
|
|
flags = [
|
|
"-I#{HOMEBREW_PREFIX}/include/libvmaf",
|
|
"-L#{lib}",
|
|
]
|
|
|
|
system ENV.cc, "test.c", "-o", "test", *flags
|
|
system "./test"
|
|
end
|
|
end
|