Gaetan Lepage
66 lines
1.4 KiB
Nix
66 lines
1.4 KiB
Nix
{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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setuptools,
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# dependencies
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joblib,
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keras,
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lz4,
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pythonAtLeast,
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distutils,
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# tests
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pytestCheckHook,
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}:
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buildPythonPackage rec {
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pname = "mtcnn";
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version = "1.0.0";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "ipazc";
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repo = "mtcnn";
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tag = "v${version}";
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hash = "sha256-gp+jfa1arD3PpJpuRFKIUznV0Lyjt3DPn/HHUviDXhk=";
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};
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build-system = [ setuptools ];
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dependencies = [
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joblib
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lz4
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]
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++ lib.optionals (pythonAtLeast "3.12") [
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distutils
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];
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pythonImportsCheck = [ "mtcnn" ];
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nativeCheckInputs = [
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keras
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pytestCheckHook
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];
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disabledTests = [
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# Failing since keras 3.13.0.
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# ValueError: Exception encountered when calling Conv2D.call().
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# The convolution operation resulted in an empty output. Output shape: (0, 48, 48, 3).
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# This can happen if the input is too small for the given kernel size, strides, dilation rate,
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# and padding mode. Please check the input shape and convolution parameters.
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"test_detect_no_faces"
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];
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meta = {
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description = "MTCNN face detection implementation for TensorFlow";
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homepage = "https://github.com/ipazc/mtcnn";
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changelog = "https://github.com/ipazc/mtcnn/releases/tag/v${version}";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [ derdennisop ];
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};
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}
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