bcb2f287e1
GitOrigin-RevId: d603719ec6e294f034936c0d0dc06f689d91b6c3
80 lines
1.5 KiB
Nix
80 lines
1.5 KiB
Nix
{
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lib,
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buildPythonPackage,
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pythonOlder,
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fetchPypi,
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pythonRelaxDepsHook,
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setuptools,
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matplotlib,
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numpy,
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opencv4,
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pillow,
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scikit-learn,
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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 = "1.5.2";
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pyproject = true;
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disabled = pythonOlder "3.8";
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src = fetchPypi {
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inherit pname version;
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hash = "sha256-WhC3QjMDh4E8NnO8SyCtg9rFgDJkYP6/xdWNcTvlKFU=";
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};
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postPatch = ''
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substituteInPlace requirements.txt\
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--replace "opencv-python" "opencv"
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'';
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nativeBuildInputs = [
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pythonRelaxDepsHook
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];
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pythonRelaxDeps = [
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"torchvision"
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];
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build-system = [
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setuptools
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];
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dependencies = [
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matplotlib
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numpy
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opencv4
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pillow
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scikit-learn
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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 = [ torch ];
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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 = {
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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 = lib.licenses.mit;
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maintainers = with lib.maintainers; [ bcdarwin ];
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};
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}
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