1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
|
{ lib
, buildPythonPackage
, fetchPypi
, h5py
, ipython
, lxml
, mung
, muscima
, numpy
, pillow
, pytestCheckHook
, scikit-image
, sphinx-rtd-theme
, sympy
, pandas
, pyhamcrest
, tqdm
, twine
}:
buildPythonPackage rec {
pname = "omrdatasettools";
version = "1.4.0";
src = fetchPypi {
inherit pname version;
sha256 = "sha256-kUUcbti29uDnSEvCubMAUnptlaZGpEsW2IBGSAGnGyQ=";
};
propagatedBuildInputs = [
pillow
scikit-image
h5py
pyhamcrest
muscima
mung
numpy
lxml
tqdm
twine
sympy
sphinx-rtd-theme
pandas
ipython
];
nativeCheckInputs = [
pytestCheckHook
];
disabledTestPaths = [
# The download tests require internet access
"omrdatasettools/tests/test_downloader.py"
];
disabledTests = [
# The download tests require internet access
"test_download_extract_and_crop_bitmaps"
"test_download_extract_and_render_all_symbols"
"test_download_extract_and_draw_bitmaps"
# Other failures
"test_render_node_masks_instance_segmentation_of_staff_blobs"
"test_render_node_masks_instance_segmentation_of_staff_lines"
"test_render_node_masks_semantic_segmentation_of_nodes"
];
meta = with lib; {
description = "Collection of datasets used for Optical Music Recognition";
homepage = "https://github.com/apacha/OMR-Datasets";
changelog = "https://github.com/apacha/OMR-Datasets/blob/${version}/CHANGES.md";
license = licenses.mit;
maintainers = with maintainers; [ piegames ];
};
}
|
