159e378cbb
GitOrigin-RevId: c04d5652cfa9742b1d519688f65d1bbccea9eb7e
66 lines
1.3 KiB
Nix
66 lines
1.3 KiB
Nix
{
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lib,
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stdenv,
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fetchFromGitHub,
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boost,
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cmake,
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fftw,
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fftwSinglePrec,
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hdf5,
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ilmbase,
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libjpeg,
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libpng,
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libtiff,
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openexr,
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python3,
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}:
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let
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python = python3.withPackages (py: with py; [ numpy ]);
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in
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stdenv.mkDerivation rec {
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pname = "vigra";
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version = "unstable-2022-01-11";
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src = fetchFromGitHub {
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owner = "ukoethe";
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repo = "vigra";
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rev = "093d57d15c8c237adf1704d96daa6393158ce299";
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sha256 = "sha256-pFANoT00Wkh1/Dyd2x75IVTfyaoVA7S86tafUSr29Og=";
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};
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env.NIX_CFLAGS_COMPILE = "-I${ilmbase.dev}/include/OpenEXR";
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nativeBuildInputs = [ cmake ];
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buildInputs = [
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boost
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fftw
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fftwSinglePrec
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hdf5
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ilmbase
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libjpeg
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libpng
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libtiff
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openexr
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python
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];
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cmakeFlags =
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[
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"-DWITH_OPENEXR=1"
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"-DVIGRANUMPY_INSTALL_DIR=${placeholder "out"}/${python.sitePackages}"
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]
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++ lib.optionals (stdenv.hostPlatform.system == "x86_64-linux") [
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"-DCMAKE_CXX_FLAGS=-fPIC"
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"-DCMAKE_C_FLAGS=-fPIC"
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];
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meta = with lib; {
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description = "Novel computer vision C++ library with customizable algorithms and data structures";
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mainProgram = "vigra-config";
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homepage = "https://hci.iwr.uni-heidelberg.de/vigra";
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license = licenses.mit;
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maintainers = [ ];
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platforms = platforms.unix;
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};
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}
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