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{ 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 ];
};
}
|
