2023-02-07 22:36:06 +00:00
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{ lib
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, buildPythonPackage
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, fetchPypi
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, pythonOlder
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, matplotlib
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, numpy
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, opencv4
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, pillow
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2023-02-22 13:11:00 +00:00
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, scikit-learn
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2023-02-07 22:36:06 +00:00
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, torch
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, torchvision
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, ttach
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, tqdm
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}:
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buildPythonPackage rec {
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pname = "grad-cam";
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version = "1.4.6";
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disabled = pythonOlder "3.6";
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format = "pyproject";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-sL4+UUfC60JWAgJPvXeVGUHAskuoceVYwYDrYlibUOE=";
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};
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postPatch = ''
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substituteInPlace requirements.txt --replace "opencv-python" "opencv"
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'';
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propagatedBuildInputs = [
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matplotlib
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numpy
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opencv4
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pillow
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2023-02-22 13:11:00 +00:00
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scikit-learn
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2023-02-07 22:36:06 +00:00
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torchvision
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ttach
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tqdm
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];
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# Let the user bring their own instance (as with torchmetrics)
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buildInputs = [
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torch
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];
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doCheck = false; # every nontrivial test tries to download a pretrained model
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pythonImportsCheck = [
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"pytorch_grad_cam"
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"pytorch_grad_cam.metrics"
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"pytorch_grad_cam.metrics.cam_mult_image"
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"pytorch_grad_cam.metrics.road"
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"pytorch_grad_cam.utils"
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"pytorch_grad_cam.utils.image"
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"pytorch_grad_cam.utils.model_targets"
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];
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meta = with lib; {
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description = "Advanced AI explainability for computer vision.";
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homepage = "https://jacobgil.github.io/pytorch-gradcam-book";
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license = licenses.mit;
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maintainers = with maintainers; [ bcdarwin ];
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};
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}
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