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
|
{
lib,
buildPythonPackage,
fetchPypi,
pythonOlder,
matplotlib,
numpy,
opencv4,
pillow,
scikit-learn,
setuptools,
torch,
torchvision,
ttach,
tqdm,
}:
buildPythonPackage rec {
pname = "grad-cam";
version = "1.5.0";
pyproject = true;
disabled = pythonOlder "3.8";
src = fetchPypi {
inherit pname version;
hash = "sha256-aw7Z/6/AMKH2PVBcOr8HxsmRDa6c3v8Xd4xa8HTiFGA=";
};
postPatch = ''
substituteInPlace requirements.txt\
--replace "opencv-python" "opencv"
'';
nativeBuildInputs = [ setuptools ];
propagatedBuildInputs = [
matplotlib
numpy
opencv4
pillow
scikit-learn
torchvision
ttach
tqdm
];
# Let the user bring their own instance (as with torchmetrics)
buildInputs = [ torch ];
doCheck = false; # every nontrivial test tries to download a pretrained model
pythonImportsCheck = [
"pytorch_grad_cam"
"pytorch_grad_cam.metrics"
"pytorch_grad_cam.metrics.cam_mult_image"
"pytorch_grad_cam.metrics.road"
"pytorch_grad_cam.utils"
"pytorch_grad_cam.utils.image"
"pytorch_grad_cam.utils.model_targets"
];
meta = with lib; {
description = "Advanced AI explainability for computer vision.";
homepage = "https://jacobgil.github.io/pytorch-gradcam-book";
license = licenses.mit;
maintainers = with maintainers; [ bcdarwin ];
};
}
|
