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68 lines
1.4 KiB
68 lines
1.4 KiB
{ buildPythonPackage
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, cython
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, fetchFromGitHub
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, fetchpatch
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, h5py
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, imgaug
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, ipython
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, keras
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, lib
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, matplotlib
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, numpy
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, opencv3
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, pillow
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, scikitimage
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, scipy
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, tensorflow
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}:
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buildPythonPackage rec {
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pname = "mask-rcnn";
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version = "2.1";
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src = fetchFromGitHub {
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owner = "matterport";
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repo = "Mask_RCNN";
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rev = "3deaec5d902d16e1daf56b62d5971d428dc920bc";
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sha256 = "13s3q9yh2q9m9vyksd269mww3bni4q2w7q5l419q70ca075qp8zp";
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};
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patches = [
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# Fix for TF2:
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# https://github.com/matterport/Mask_RCNN/issues/2734
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(fetchpatch {
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url = "https://github.com/BupyeongHealer/Mask_RCNN_tf_2.x/commit/7957839fe2b248f2f22c7e991ead12068ddc6cfc.diff";
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excludes = [ "mrcnn/model.py" ];
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sha256 = "sha256-70BGrx6X1uJDA2025f0YTlreT2uB3n35yIzuhf+ypVc=";
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})
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];
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# Fix for recent Keras
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postPatch = ''
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substituteInPlace mrcnn/model.py \
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--replace "KE." "KL."
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'';
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nativeBuildInputs = [ cython ];
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propagatedBuildInputs = [
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h5py
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imgaug
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ipython
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keras
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matplotlib
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numpy
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opencv3
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pillow
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scikitimage
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scipy
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tensorflow
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];
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meta = with lib; {
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description = "Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow";
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homepage = "https://github.com/matterport/Mask_RCNN";
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license = licenses.mit;
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maintainers = with maintainers; [ rakesh4g ];
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};
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}
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