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{ buildPythonPackage
, fetchFromGitHub
, imageio
, imagecorruptions
, numpy
, opencv3
, pytestCheckHook
, scikitimage
, scipy
, shapely
, six
, lib
}:
buildPythonPackage rec {
pname = "imgaug";
version = "0.4.0";
src = fetchFromGitHub {
owner = "aleju";
repo = "imgaug";
rev = version;
sha256 = "17hbxndxphk3bfnq35y805adrfa6gnm5x7grjxbwdw4kqmbbqzah";
};
postPatch = ''
substituteInPlace requirements.txt \
--replace "opencv-python-headless" ""
substituteInPlace setup.py \
--replace "opencv-python-headless" ""
substituteInPlace pytest.ini \
--replace "--xdoctest --xdoctest-global-exec=\"import imgaug as ia\nfrom imgaug import augmenters as iaa\"" ""
'';
propagatedBuildInputs = [
imageio
imagecorruptions
numpy
opencv3
scikitimage
scipy
shapely
six
];
checkInputs = [
opencv3
pytestCheckHook
];
disabledTests = [
# Tests are outdated
"test_quokka_segmentation_map"
"test_pool"
"test_avg_pool"
"test_max_pool"
"test_min_pool"
"est_median_pool"
"test_alpha_is_080"
"test_face_and_lines_at_half_visibility"
"test_polygon_fully_inside_image__no_rectangular_shape"
# flaky due to timing-based assertions
"test_imap_batches_output_buffer_size"
"test_imap_batches_unordered_output_buffer_size"
];
disabledTestPaths = [
# TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'
"test/augmenters/test_pooling.py"
];
pythonImportsCheck = [ "imgaug" ];
meta = with lib; {
homepage = "https://github.com/aleju/imgaug";
description = "Image augmentation for machine learning experiments";
license = licenses.mit;
maintainers = with maintainers; [ cmcdragonkai rakesh4g ];
platforms = platforms.linux;
# Scikit-image 0.19 update broke API, see https://github.com/scikit-image/scikit-image/releases/tag/v0.19.0
# and https://github.com/scikit-image/scikit-image/issues/6093
broken = lib.versionAtLeast scikitimage.version "0.19";
};
}
|