From e34636737cf611c7a34381e8a66f16d484b758d1 Mon Sep 17 00:00:00 2001 From: Rakesh Gupta Date: Mon, 16 Mar 2020 16:34:01 +1100 Subject: [PATCH] pythonPackages.mask-rcnn: init at 2.1 --- .../python-modules/mask-rcnn/default.nix | 52 +++++++++++++++++++ pkgs/top-level/python-packages.nix | 2 + 2 files changed, 54 insertions(+) create mode 100644 pkgs/development/python-modules/mask-rcnn/default.nix diff --git a/pkgs/development/python-modules/mask-rcnn/default.nix b/pkgs/development/python-modules/mask-rcnn/default.nix new file mode 100644 index 00000000000..e9362f4e077 --- /dev/null +++ b/pkgs/development/python-modules/mask-rcnn/default.nix @@ -0,0 +1,52 @@ +{ buildPythonPackage +, cython +, fetchFromGitHub +, h5py +, imgaug +, ipython +, Keras +, lib +, matplotlib +, numpy +, opencv3 +, pillow +, scikitimage +, scipy +, tensorflow +}: + +buildPythonPackage rec { + pname = "mask-rcnn"; + version = "2.1"; + + src = fetchFromGitHub { + owner = "matterport"; + repo = "Mask_RCNN"; + rev = "3deaec5d902d16e1daf56b62d5971d428dc920bc"; + sha256 = "13s3q9yh2q9m9vyksd269mww3bni4q2w7q5l419q70ca075qp8zp"; + }; + + nativeBuildInputs = [ cython ]; + + propagatedBuildInputs = [ + h5py + imgaug + ipython + Keras + matplotlib + numpy + opencv3 + pillow + scikitimage + scipy + tensorflow + ]; + + meta = with lib; { + description = "Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow"; + homepage = "https://github.com/matterport/Mask_RCNN"; + license = licenses.mit; + maintainers = with maintainers; [ rakesh4g ]; + }; +} + diff --git a/pkgs/top-level/python-packages.nix b/pkgs/top-level/python-packages.nix index 28695722a92..c812c7cd9f8 100644 --- a/pkgs/top-level/python-packages.nix +++ b/pkgs/top-level/python-packages.nix @@ -878,6 +878,8 @@ in { markerlib = callPackage ../development/python-modules/markerlib { }; + mask-rcnn = callPackage ../development/python-modules/mask-rcnn { }; + matchpy = callPackage ../development/python-modules/matchpy { }; maxminddb = callPackage ../development/python-modules/maxminddb { };