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STYLE: Apply clang-format to morphological-contour-interpolation.cxx
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To address CI check.
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@thewtex
thewtex committed Feb 15, 2024
1 parent 55ba23b commit 97645a6
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Showing 2 changed files with 59 additions and 60 deletions.
4 changes: 2 additions & 2 deletions include/itkMorphologicalContourInterpolator.hxx
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Expand Up @@ -713,15 +713,15 @@ MorphologicalContourInterpolator< TImage >::Interpolate1to1( int axis, TImage* o
}
}

#if !defined(__wasi__) && !defined(__EMSCRIPTEN__)
#if !defined( __wasi__ ) && !defined( __EMSCRIPTEN__ )
static std::mutex mutexLock;
#endif
if ( withinReq ) // else we should not write it
{
seqIt.GoToBegin();
// writing through one RLEImage iterator invalidates all the others
// so this whole writing loop needs to be serialized
#if !defined(__wasi__) && !defined(__EMSCRIPTEN__)
#if !defined( __wasi__ ) && !defined( __EMSCRIPTEN__ )
std::lock_guard< std::mutex > mutexHolder( mutexLock );
#endif
ImageRegionIterator< TImage > outIt( out, outRegion );
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115 changes: 57 additions & 58 deletions wasm/morphological-contour-interpolation.cxx
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Expand Up @@ -16,111 +16,110 @@
*
*=========================================================================*/

#include "itkPipeline.h"
#include "itkInputImage.h"
#include "itkOutputImage.h"
#include "itkPipeline.h"
#include "itkSupportInputImageTypes.h"

#include "itkMorphologicalContourInterpolator.h"

template <typename TImage>
int MorphologicalContourInterpolation(itk::wasm::Pipeline &pipeline, const TImage *inputImage)
template< typename TImage >
int
MorphologicalContourInterpolation( itk::wasm::Pipeline& pipeline, const TImage* inputImage )
{
using ImageType = TImage;

pipeline.get_option("input-image")->required()->type_name("INPUT_IMAGE");
pipeline.get_option( "input-image" )->required()->type_name( "INPUT_IMAGE" );

using OutputImageType = itk::wasm::OutputImage<ImageType>;
using OutputImageType = itk::wasm::OutputImage< ImageType >;
OutputImageType outputImage;
pipeline.add_option("output-image", outputImage, "The output image")->required()->type_name("OUTPUT_IMAGE");
pipeline.add_option( "output-image", outputImage, "The output image" )->required()->type_name( "OUTPUT_IMAGE" );

typename ImageType::IndexValueType label = 0;
pipeline.add_option("-l,--label", label, "The label to interpolate. Interpolates all labels if set to 0 (default).");
pipeline.add_option( "-l,--label", label, "The label to interpolate. Interpolates all labels if set to 0 (default)." );

int axis = -1;
pipeline.add_option("-a,--axis", axis, "Interpolate only along this axis. Interpolates along all axes if set to -1 (default).");
pipeline.add_option( "-a,--axis", axis, "Interpolate only along this axis. Interpolates along all axes if set to -1 (default)." );

bool noHeuristicAlignment {false};
pipeline.add_flag("--no-heuristic-alignment", noHeuristicAlignment, "Heuristic alignment of regions for interpolation is faster than optimal alignment.");
bool noHeuristicAlignment{ false };
pipeline.add_flag( "--no-heuristic-alignment", noHeuristicAlignment, "Heuristic alignment of regions for interpolation is faster than optimal alignment." );

bool noUseDistanceTransform {false};
pipeline.add_flag("--no-use-distance-transform", noUseDistanceTransform, "Using distance transform instead of repeated dilations to calculate the median contour is slightly faster, but produces lower quality interpolations.");
bool noUseDistanceTransform{ false };
pipeline.add_flag( "--no-use-distance-transform",
noUseDistanceTransform,
"Using distance transform instead of repeated dilations to calculate the median contour is slightly faster, but produces lower quality interpolations." );

bool useCustomSlicePositions {false};
pipeline.add_flag("--use-custom-slice-positions", useCustomSlicePositions, "Use custom slice positions (not slice auto-detection).");
bool useCustomSlicePositions{ false };
pipeline.add_flag( "--use-custom-slice-positions", useCustomSlicePositions, "Use custom slice positions (not slice auto-detection)." );

bool noUseExtrapolation {false};
pipeline.add_flag("--no-use-extrapolation", noUseExtrapolation, "Perform extrapolation for branch extremities. Branch extremities are defined as regions having no overlap with any region in the next slice. Extrapolation helps generate smooth surface closings.");
bool noUseExtrapolation{ false };
pipeline.add_flag( "--no-use-extrapolation",
noUseExtrapolation,
"Perform extrapolation for branch extremities. Branch extremities are defined as regions having no overlap with any region in the next slice. Extrapolation helps generate smooth "
"surface closings." );

bool useBallStructuringElement;
pipeline.add_flag("--use-ball-structuring-element", useBallStructuringElement, "Use ball instead of default cross structuring element for repeated dilations.");
pipeline.add_flag( "--use-ball-structuring-element", useBallStructuringElement, "Use ball instead of default cross structuring element for repeated dilations." );

int labeledSliceIndicesAxis = -1;
pipeline.add_option("--labeled-slice-indices-axis", labeledSliceIndicesAxis, "Axis along which the labeled slice indices are defined. Default is -1 (that is, auto-detection).");
pipeline.add_option( "--labeled-slice-indices-axis", labeledSliceIndicesAxis, "Axis along which the labeled slice indices are defined. Default is -1 (that is, auto-detection)." );

int labeledSliceIndicesLabel = 1;
pipeline.add_option("--labeled-slice-indices-label", labeledSliceIndicesLabel, "Label of the slice indices. Default is 1.");
pipeline.add_option( "--labeled-slice-indices-label", labeledSliceIndicesLabel, "Label of the slice indices. Default is 1." );

std::vector<typename ImageType::IndexValueType> labeledSliceIndices;
pipeline.add_option("--labeled-slice-indices", labeledSliceIndices, "List of labeled slice indices. Default is empty.");
std::vector< typename ImageType::IndexValueType > labeledSliceIndices;
pipeline.add_option( "--labeled-slice-indices", labeledSliceIndices, "List of labeled slice indices. Default is empty." );

ITK_WASM_PARSE(pipeline);
ITK_WASM_PARSE( pipeline );

using InterpolatorType = itk::MorphologicalContourInterpolator<ImageType>;
using InterpolatorType = itk::MorphologicalContourInterpolator< ImageType >;
auto interpolator = InterpolatorType::New();
interpolator->SetInput(inputImage);

interpolator->SetLabel(label);
interpolator->SetAxis(axis);
interpolator->SetHeuristicAlignment(!noHeuristicAlignment);
interpolator->SetUseDistanceTransform(!noUseDistanceTransform);
interpolator->SetUseCustomSlicePositions(useCustomSlicePositions);
interpolator->SetUseExtrapolation(!noUseExtrapolation);
interpolator->SetUseBallStructuringElement(!useBallStructuringElement);
if (labeledSliceIndicesAxis != -1 && !labeledSliceIndices.empty())
{
interpolator->SetLabeledSliceIndices(labeledSliceIndicesAxis, labeledSliceIndicesLabel, labeledSliceIndices);
}

ITK_WASM_CATCH_EXCEPTION(pipeline, interpolator->UpdateLargestPossibleRegion());
interpolator->SetInput( inputImage );

interpolator->SetLabel( label );
interpolator->SetAxis( axis );
interpolator->SetHeuristicAlignment( !noHeuristicAlignment );
interpolator->SetUseDistanceTransform( !noUseDistanceTransform );
interpolator->SetUseCustomSlicePositions( useCustomSlicePositions );
interpolator->SetUseExtrapolation( !noUseExtrapolation );
interpolator->SetUseBallStructuringElement( !useBallStructuringElement );
if ( labeledSliceIndicesAxis != -1 && !labeledSliceIndices.empty() )
{
interpolator->SetLabeledSliceIndices( labeledSliceIndicesAxis, labeledSliceIndicesLabel, labeledSliceIndices );
}

ITK_WASM_CATCH_EXCEPTION( pipeline, interpolator->UpdateLargestPossibleRegion() );

typename ImageType::ConstPointer output = interpolator->GetOutput();
outputImage.Set(output);
outputImage.Set( output );

return EXIT_SUCCESS;
}

template <typename TImage>
template< typename TImage >
class PipelineFunctor
{
public:
int operator()(itk::wasm::Pipeline &pipeline)
int
operator()( itk::wasm::Pipeline& pipeline )
{
using ImageType = TImage;

using InputImageType = itk::wasm::InputImage<ImageType>;
using InputImageType = itk::wasm::InputImage< ImageType >;
InputImageType inputImage;
pipeline.add_option("input-image", inputImage, "The input image");
pipeline.add_option( "input-image", inputImage, "The input image" );

ITK_WASM_PRE_PARSE(pipeline);
ITK_WASM_PRE_PARSE( pipeline );

typename ImageType::ConstPointer image = inputImage.Get();
return MorphologicalContourInterpolation<ImageType>(pipeline, image);
return MorphologicalContourInterpolation< ImageType >( pipeline, image );
}
};

int main(int argc, char *argv[])
int
main( int argc, char* argv[] )
{
itk::wasm::Pipeline pipeline("morphological-contour-interpolation", "Interpolates contours between slices.", argc, argv);

return itk::wasm::SupportInputImageTypes<PipelineFunctor,
uint8_t,
int8_t,
uint16_t,
int16_t,
uint32_t,
int32_t,
uint64_t,
int64_t
>::Dimensions<3U>("input-image", pipeline);
itk::wasm::Pipeline pipeline( "morphological-contour-interpolation", "Interpolates contours between slices.", argc, argv );

return itk::wasm::SupportInputImageTypes< PipelineFunctor, uint8_t, int8_t, uint16_t, int16_t, uint32_t, int32_t, uint64_t, int64_t >::Dimensions< 3U >( "input-image", pipeline );
}

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