Merge pull request #293265 from loco-choco/opengv-init

opengv: init at 0-unstable-2020-08-06

pkgs/by-name/op/opengv/package.nix

@@ -0,0 +1,45 @@
+{ 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;
+  };
+})