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#include <pcl/common/time.h>
#include <pcl/console/parse.h>
#include <pcl/features/integral_image_normal.h>
#include <pcl/geometry/polygon_operations.h>
#include <pcl/io/pcd_io.h>
#include <pcl/segmentation/organized_connected_component_segmentation.h>
#include <pcl/segmentation/organized_multi_plane_segmentation.h>
#include <pcl/segmentation/planar_region.h>
#include <pcl/visualization/pcl_visualizer.h>

#include <cstdio>

template <typename PointT>
class PCDOrganizedMultiPlaneSegmentation {
private:
  pcl::visualization::PCLVisualizer viewer;
  typename pcl::PointCloud<PointT>::ConstPtr cloud;
  bool refine_;
  float threshold_;
  bool depth_dependent_;
  bool polygon_refinement_;

public:
  PCDOrganizedMultiPlaneSegmentation(typename pcl::PointCloud<PointT>::ConstPtr cloud_,
                                     bool refine)
  : viewer("Viewer")
  , cloud(cloud_)
  , refine_(refine)
  , threshold_(0.02f)
  , depth_dependent_(true)
  , polygon_refinement_(false)
  {
    viewer.setBackgroundColor(0, 0, 0);
    viewer.addCoordinateSystem(1.0, "global");
    viewer.initCameraParameters();
    viewer.registerKeyboardCallback(
        &PCDOrganizedMultiPlaneSegmentation::keyboard_callback, *this, nullptr);
  }

  void
  keyboard_callback(const pcl::visualization::KeyboardEvent& event, void*)
  {
    // do stuff and visualize here
    if (event.keyUp()) {
      switch (event.getKeyCode()) {
      case 'b':
      case 'B':
        if (threshold_ < 0.1f)
          threshold_ += 0.001f;
        process();
        break;
      case 'v':
      case 'V':
        if (threshold_ > 0.001f)
          threshold_ -= 0.001f;
        process();
        break;

      case 'n':
      case 'N':
        depth_dependent_ = !depth_dependent_;
        process();
        break;

      case 'm':
      case 'M':
        polygon_refinement_ = !polygon_refinement_;
        process();
        break;
      }
    }
  }

  void
  process()
  {
    std::cout << "threshold: " << threshold_ << std::endl;
    std::cout << "depth dependent: " << (depth_dependent_ ? "true\n" : "false\n");
    unsigned char red[6] = {255, 0, 0, 255, 255, 0};
    unsigned char grn[6] = {0, 255, 0, 255, 0, 255};
    unsigned char blu[6] = {0, 0, 255, 0, 255, 255};

    pcl::IntegralImageNormalEstimation<PointT, pcl::Normal> ne;
    ne.setNormalEstimationMethod(ne.COVARIANCE_MATRIX);
    ne.setMaxDepthChangeFactor(0.02f);
    ne.setNormalSmoothingSize(20.0f);

    typename pcl::PlaneRefinementComparator<PointT, pcl::Normal, pcl::Label>::Ptr
        refinement_compare(
            new pcl::PlaneRefinementComparator<PointT, pcl::Normal, pcl::Label>());
    refinement_compare->setDistanceThreshold(threshold_, depth_dependent_);

    pcl::OrganizedMultiPlaneSegmentation<PointT, pcl::Normal, pcl::Label> mps;
    mps.setMinInliers(5000);
    mps.setAngularThreshold(0.017453 * 3.0); // 3 degrees
    mps.setDistanceThreshold(0.03);          // 2cm
    mps.setRefinementComparator(refinement_compare);

    std::vector<pcl::PlanarRegion<PointT>,
                Eigen::aligned_allocator<pcl::PlanarRegion<PointT>>>
        regions;
    typename pcl::PointCloud<PointT>::Ptr contour(new pcl::PointCloud<PointT>);
    typename pcl::PointCloud<PointT>::Ptr approx_contour(new pcl::PointCloud<PointT>);
    char name[1024];

    typename pcl::PointCloud<pcl::Normal>::Ptr normal_cloud(
        new pcl::PointCloud<pcl::Normal>);
    double normal_start = pcl::getTime();
    ne.setInputCloud(cloud);
    ne.compute(*normal_cloud);
    double normal_end = pcl::getTime();
    std::cout << "Normal Estimation took " << double(normal_end - normal_start)
              << std::endl;

    double plane_extract_start = pcl::getTime();
    mps.setInputNormals(normal_cloud);
    mps.setInputCloud(cloud);
    if (refine_)
      mps.segmentAndRefine(regions);
    else
      mps.segment(regions);
    double plane_extract_end = pcl::getTime();
    std::cout << "Plane extraction took "
              << double(plane_extract_end - plane_extract_start)
              << " with planar regions found: " << regions.size() << std::endl;
    std::cout << "Frame took " << double(plane_extract_end - normal_start) << std::endl;

    typename pcl::PointCloud<PointT>::Ptr cluster(new pcl::PointCloud<PointT>);

    viewer.removeAllPointClouds(0);
    viewer.removeAllShapes(0);
    pcl::visualization::PointCloudColorHandlerCustom<PointT> single_color(
        cloud, 0, 255, 0);
    viewer.addPointCloud<PointT>(cloud, single_color, "cloud");

    pcl::PlanarPolygon<PointT> approx_polygon;
    // Draw Visualization
    for (std::size_t i = 0; i < regions.size(); i++) {
      Eigen::Vector3f centroid = regions[i].getCentroid();
      Eigen::Vector4f model = regions[i].getCoefficients();
      pcl::PointXYZ pt1 = pcl::PointXYZ(centroid[0], centroid[1], centroid[2]);
      pcl::PointXYZ pt2 = pcl::PointXYZ(centroid[0] + (0.5f * model[0]),
                                        centroid[1] + (0.5f * model[1]),
                                        centroid[2] + (0.5f * model[2]));
      std::snprintf(name, sizeof(name), "normal_%zu", i);
      viewer.addArrow(pt2, pt1, 1.0, 0, 0, std::string(name));

      contour->points = regions[i].getContour();
      std::snprintf(name, sizeof(name), "plane_%02zu", i);
      pcl::visualization::PointCloudColorHandlerCustom<PointT> color(
          contour, red[i], grn[i], blu[i]);
      viewer.addPointCloud(contour, color, name);

      pcl::approximatePolygon(
          regions[i], approx_polygon, threshold_, polygon_refinement_);
      approx_contour->points = approx_polygon.getContour();
      std::cout << "polygon: " << contour->size() << " -> " << approx_contour->size()
                << std::endl;
      typename pcl::PointCloud<PointT>::ConstPtr approx_contour_const = approx_contour;

      for (std::size_t idx = 0; idx < approx_contour->size(); ++idx) {
        std::snprintf(name,
                      sizeof(name),
                      "approx_plane_%02zu_%03zu",
                      static_cast<std::size_t>(i),
                      static_cast<std::size_t>(idx));
        viewer.addLine((*approx_contour)[idx],
                       (*approx_contour)[(idx + 1) % approx_contour->size()],
                       0.5 * red[i],
                       0.5 * grn[i],
                       0.5 * blu[i],
                       name);
      }
    }
  }

  void
  run()
  {
    // initial processing
    process();

    while (!viewer.wasStopped())
      viewer.spinOnce(100);
  }
};

int
main(int argc, char** argv)
{
  bool refine = pcl::console::find_switch(argc, argv, "-refine");

  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud_xyz(new pcl::PointCloud<pcl::PointXYZ>);
  pcl::io::loadPCDFile(argv[1], *cloud_xyz);
  PCDOrganizedMultiPlaneSegmentation<pcl::PointXYZ> multi_plane_app(cloud_xyz, refine);
  multi_plane_app.run();
  return 0;
}
