78 lines
1.7 KiB
Nix
78 lines
1.7 KiB
Nix
{ buildPythonPackage
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, fetchFromGitHub
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, imageio
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, imagecorruptions
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, numpy
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, opencv3
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, pytestCheckHook
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, scikitimage
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, scipy
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, shapely
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, six
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, lib
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}:
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buildPythonPackage rec {
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pname = "imgaug";
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version = "0.4.0";
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src = fetchFromGitHub {
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owner = "aleju";
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repo = "imgaug";
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rev = version;
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sha256 = "17hbxndxphk3bfnq35y805adrfa6gnm5x7grjxbwdw4kqmbbqzah";
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};
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postPatch = ''
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substituteInPlace requirements.txt \
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--replace "opencv-python-headless" ""
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substituteInPlace setup.py \
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--replace "opencv-python-headless" ""
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substituteInPlace pytest.ini \
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--replace "--xdoctest --xdoctest-global-exec=\"import imgaug as ia\nfrom imgaug import augmenters as iaa\"" ""
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'';
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propagatedBuildInputs = [
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imageio
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imagecorruptions
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numpy
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opencv3
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scikitimage
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scipy
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shapely
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six
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];
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checkInputs = [
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opencv3
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pytestCheckHook
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];
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disabledTests = [
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# Tests are outdated
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"test_quokka_segmentation_map"
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"test_pool"
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"test_avg_pool"
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"test_max_pool"
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"test_min_pool"
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"est_median_pool"
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"test_alpha_is_080"
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"test_face_and_lines_at_half_visibility"
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"test_polygon_fully_inside_image__no_rectangular_shape"
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];
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disabledTestPaths = [
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# TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
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"test/augmenters/test_pooling.py"
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];
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pythonImportsCheck = [ "imgaug" ];
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meta = with lib; {
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homepage = "https://github.com/aleju/imgaug";
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description = "Image augmentation for machine learning experiments";
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license = licenses.mit;
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maintainers = with maintainers; [ cmcdragonkai rakesh4g ];
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platforms = platforms.linux;
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};
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}
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