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60 lines
1.3 KiB
60 lines
1.3 KiB
{ 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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NIX_CFLAGS_COMPILE = "-I${ilmbase.dev}/include/OpenEXR";
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nativeBuildInputs = [ cmake ];
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buildInputs = [
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boost
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fftw
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fftwSinglePrec
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hdf5
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ilmbase
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libjpeg
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libpng
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libtiff
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openexr
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python
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];
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preConfigure = "cmakeFlags+=\" -DVIGRANUMPY_INSTALL_DIR=$out/lib/${python.libPrefix}/site-packages\"";
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cmakeFlags = [ "-DWITH_OPENEXR=1" ]
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++ lib.optionals (stdenv.hostPlatform.system == "x86_64-linux")
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[ "-DCMAKE_CXX_FLAGS=-fPIC" "-DCMAKE_C_FLAGS=-fPIC" ];
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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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homepage = "https://hci.iwr.uni-heidelberg.de/vigra";
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license = licenses.mit;
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maintainers = [ maintainers.viric ];
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platforms = platforms.unix;
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};
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}
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