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{ lib
, stdenv
, eigen
, fetchFromGitHub
, cmake
}:
stdenv.mkDerivation (finalAttrs: {
pname = "opengv";
version = "0-unstable-2020-08-06";
src = fetchFromGitHub {
owner = "laurentkneip";
repo = "opengv";
rev = "91f4b19c73450833a40e463ad3648aae80b3a7f3";
hash = "sha256-LfnylJ9NCHlqjT76Tgku4NwxULJ+WDAcJQ2lDKGWSI4=";
};
nativeBuildInputs = [
cmake
];
buildInputs = [
eigen
];
cmakeFlakes = [
(lib.cmakeFeature "CMAKE_BUILD_TYPE" "Release")
];
meta = {
description = "A collection of computer vision methods for solving geometric vision problems";
homepage = "https://github.com/laurentkneip/opengv";
license = lib.licenses.bsd2;
longDescription = ''OpenGV is a collection of computer vision methods for solving
geometric vision problems. It contains absolute-pose, relative-pose,
triangulation, and point-cloud alignment methods for the calibrated
case. All problems can be solved with central or non-central cameras,
and embedded into a random sample consensus or nonlinear optimization
context. Matlab and Python interfaces are implemented as well. The link
to the above pages also shows links to precompiled Matlab mex-libraries.
Please consult the documentation for more information.'';
maintainers = [ lib.maintainers.locochoco ];
platforms = lib.platforms.all;
};
})
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