29 lines
1.1 KiB
Ruby
29 lines
1.1 KiB
Ruby
class Libvmaf < Formula
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desc "Perceptual video quality assessment based on multi-method fusion"
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homepage "https://github.com/Netflix/vmaf"
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url "https://github.com/Netflix/vmaf/archive/v1.3.11.tar.gz"
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sha256 "cb0dcc2c6c8034808a62e9da07622512d5bfde0fe05073dd04428fe6de2988e9"
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bottle do
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cellar :any_skip_relocation
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sha256 "492a8d4393833fc9984ee8486bdc62484682f1f236a65d6dfb537e8c6d1a00a5" => :mojave
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sha256 "fdd93654b86a81af47cc943d446ca122b547b33bb7c96f8211803508928f449d" => :high_sierra
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sha256 "9a2f816b9c15a3825701de6744de8a5ec76370eedcb25d51c125b4f80d888679" => :sierra
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end
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def install
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system "make"
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system "make", "install", "INSTALL_PREFIX=#{prefix}"
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system "make", "testlib", "INSTALL_PREFIX=#{prefix}"
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pkgshare.install "wrapper/testlib"
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pkgshare.install "python/test/resource/yuv/src01_hrc00_576x324.yuv"
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end
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test do
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yuv = "#{pkgshare}/src01_hrc00_576x324.yuv"
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pkl = "#{share}/model/vmaf_v0.6.1.pkl"
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output = shell_output("#{pkgshare}/testlib yuv420p 576 324 #{yuv} #{yuv} #{pkl}")
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assert_match "VMAF score = ", output
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end
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end
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