FilterProgressReporting/FilterProgressReporting.cxx

/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         http://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
 
// This one header will include all SimpleITK filters and external
// objects.
#include <SimpleITK.h>
#include <iostream>
#include <stdlib.h>
#include <iomanip>
 
// create convenient namespace alias
namespace sitk = itk::simple;
 
// Create A Command Callback to be registered with the ProcessObject
// on the ProgressEvent
//
// Internally we maintain a reference to the ProcessObject passed
// during construction. Therefore, it would be an error to execute the
// Execute method after the ProcessObject is delete. But this class
// can be created on the stack, with out issue.
class ProgressUpdate : public sitk::Command
{
public:
  ProgressUpdate(const sitk::ProcessObject & po)
    : m_Process(po)
  {}
 
  void
  Execute() override
  {
    // stash the stream state
    std::ios state(NULL);
    state.copyfmt(std::cout);
    std::cout << std::fixed << std::setw(3) << std::setprecision(2);
 
    // Print the Progress "Active Measurement"
    std::cout << m_Process.GetName() << " Progress: " << m_Process.GetProgress() << std::endl;
 
    std::cout.copyfmt(state);
  }
 
private:
  const sitk::ProcessObject & m_Process;
};
 
 
int
main(int argc, char * argv[])
{
 
  if (argc < 4)
  {
    std::cerr << "Usage: " << argv[0] << " <input> <variance> <output>\n";
    return 1;
  }
 
  // Read the image file
  sitk::ImageFileReader reader;
  reader.SetFileName(std::string(argv[1]));
  sitk::Image image = reader.Execute();
 
  // This filters perform a gaussian blurring with sigma in physical
  // space. The output image will be of real type.
  sitk::DiscreteGaussianImageFilter gaussian;
  gaussian.SetVariance(atof(argv[2]));
 
  // Construct our custom command on the stack
  ProgressUpdate cmd(gaussian);
  // register it with the filter for the ProgressEvent
  gaussian.AddCommand(sitk::sitkProgressEvent, cmd);
 
  sitk::Image blurredImage = gaussian.Execute(image);
 
  // Covert the real output image back to the original pixel type, to
  // make writing easier, as many file formats don't support real
  // pixels.
  sitk::CastImageFilter caster;
  caster.SetOutputPixelType(image.GetPixelID());
  sitk::Image outputImage = caster.Execute(blurredImage);
 
  // write the image
  sitk::ImageFileWriter writer;
  writer.SetFileName(std::string(argv[3]));
 
  writer.AddCommand(sitk::sitkStartEvent, [] { std::cout << "Writting..." << std::flush; });
  writer.AddCommand(sitk::sitkEndEvent, [] { std::cout << "done" << std::endl; });
 
  writer.Execute(outputImage);
 
  return 0;
}