/*========================================================================= Program: Tensor ToolKit - TTK Module: $URL$ Language: C++ Date: $Date$ Version: $Revision$ Copyright (c) INRIA 2010. All rights reserved. See LICENSE.txt for details. This software is distributed WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the above copyright notices for more information. =========================================================================*/ #include "itkTensorFlipCommand.h" #include "itkFlipTensorImageFilter.h" #include "itkTensorImageIO.h" #include #include #include "GetPot.h" namespace itk { TensorFlipCommand::TensorFlipCommand() { m_ShortDescription = "Flip tensors w.r.t. x, y or z axis"; m_LongDescription = "Usage: flip\n"; m_LongDescription += "<-i input> <-a 0/1/2: axis (X: 0, Y: 1, Z: 2)> <-o output>\n\n"; m_LongDescription += m_ShortDescription; } TensorFlipCommand::~TensorFlipCommand() {} int TensorFlipCommand::Execute(int narg, const char *arg[]) { GetPot cl(narg, const_cast(arg) ); // argument parser if( cl.size() == 1 || cl.search(2, "--help", "-h") ) { std::cout << this->GetLongDescription() << std::endl; return -1; } const bool IsInputPresent = cl.search(2,"-i","-I"); const bool IsOutputPresent = cl.search(2,"-o","-O"); if(!IsInputPresent || !IsOutputPresent ) { std::cerr << "Error: Input and (or) output not set." << std::endl; return -1; } const char* fileIn = cl.follow("NoFile",2,"-i","-I"); const char* fileOut = cl.follow("NoFile",2,"-o","-O"); const int FlipAxis = cl.follow(0, 2,"-a","-A"); using ScalarType = double; using IOType = itk::TensorImageIO; using TensorImageType = IOType::TensorImageType; using FlipFilterType = itk::FlipTensorImageFilter; IOType::Pointer myIO = IOType::New(); myIO->SetFileName (fileIn); try { myIO->Read(); } catch (itk::ExceptionObject &e) { std::cerr << e; return -1; } FlipFilterType::Pointer myFlipper = FlipFilterType::New(); myFlipper->SetInput ( myIO->GetOutput() ); myFlipper->SetFlipAxis (FlipAxis, 1); // now: filter std::cout << "Flipping Tensors ..." << std::flush << std::endl; try { myFlipper->Update(); } catch(itk::ExceptionObject &e) { std::cerr << e; return -1; } std::cout << "Done." << std::endl; // write the output myIO->SetFileName(fileOut); myIO->SetInput (myFlipper->GetOutput()); std::cout << "Writing..." << std::flush; try { myIO->Write(); } catch(itk::ExceptionObject &e) { std::cerr << e; return -1; } std::cout << "Done." << std::endl; return 0; } }