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{
lib,
buildPythonPackage,
fetchPypi,
setuptools,
matplotlib,
numpy,
opencv-python,
pillow,
scikit-learn,
torch,
torchvision,
ttach,
tqdm,
}:
buildPythonPackage rec {
pname = "grad-cam";
version = "1.5.5";
pyproject = true;
src = fetchPypi {
inherit pname version;
hash = "sha256-aQxDPSJtNcicnrFwRi2yBJCcsGs5xzgeaICkm2/DcBU=";
};
nativeBuildInputs = [
];
pythonRelaxDeps = [
"torchvision"
];
build-system = [
setuptools
];
dependencies = [
matplotlib
numpy
opencv-python
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 = {
description = "Advanced AI explainability for computer vision";
homepage = "https://jacobgil.github.io/pytorch-gradcam-book";
license = lib.licenses.mit;
maintainers = with lib.maintainers; [ bcdarwin ];
};
}
|
