本文整理汇总了C++中typenamepcl::PointCloud::isOrganized方法的典型用法代码示例。如果您正苦于以下问题：C++ PointCloud::isOrganized方法的具体用法？C++ PointCloud::isOrganized怎么用？C++ PointCloud::isOrganized使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类typenamepcl::PointCloud的用法示例。
在下文中一共展示了PointCloud::isOrganized方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的C++代码示例。
示例1: return
template <typename T> bool
pcl::visualization::ImageViewer::addMask (
const typename pcl::PointCloud<T>::ConstPtr &image,
const pcl::PointCloud<T> &mask,
double r, double g, double b,
const std::string &layer_id, double opacity)
{
// We assume that the data passed into image is organized, otherwise this doesn't make sense
if (!image->isOrganized ())
return (false);
// Check to see if this ID entry already exists (has it been already added to the visualizer?)
LayerMap::iterator am_it = std::find_if (layer_map_.begin (), layer_map_.end (), LayerComparator (layer_id));
if (am_it == layer_map_.end ())
{
PCL_DEBUG ("[pcl::visualization::ImageViewer::addMask] No layer with ID'=%s' found. Creating new one...\n", layer_id.c_str ());
am_it = createLayer (layer_id, image_viewer_->GetRenderWindow ()->GetSize ()[0] - 1, image_viewer_->GetRenderWindow ()->GetSize ()[1] - 1, opacity, true);
}
am_it->canvas->SetDrawColor (r * 255.0, g * 255.0, b * 255.0, opacity * 255.0);
// Construct a search object to get the camera parameters
pcl::search::OrganizedNeighbor<T> search;
search.setInputCloud (image);
for (size_t i = 0; i < mask.points.size (); ++i)
{
pcl::PointXY p_projected;
search.projectPoint (mask.points[i], p_projected);
am_it->canvas->DrawPoint (int (p_projected.x),
int (float (image->height) - p_projected.y));
}
return (true);
}示例2: return
template <typename T> bool
pcl::visualization::ImageViewer::addRectangle (
const typename pcl::PointCloud<T>::ConstPtr &image,
const pcl::PointCloud<T> &mask,
double r, double g, double b,
const std::string &layer_id, double opacity)
{
// We assume that the data passed into image is organized, otherwise this doesn't make sense
if (!image->isOrganized ())
return (false);
// Check to see if this ID entry already exists (has it been already added to the visualizer?)
LayerMap::iterator am_it = std::find_if (layer_map_.begin (), layer_map_.end (), LayerComparator (layer_id));
if (am_it == layer_map_.end ())
{
PCL_DEBUG ("[pcl::visualization::ImageViewer::addRectangle] No layer with ID'=%s' found. Creating new one...\n", layer_id.c_str ());
am_it = createLayer (layer_id, getSize ()[0] - 1, getSize ()[1] - 1, opacity, true);
}
// Construct a search object to get the camera parameters
pcl::search::OrganizedNeighbor<T> search;
search.setInputCloud (image);
std::vector<pcl::PointXY> pp_2d (mask.points.size ());
for (size_t i = 0; i < mask.points.size (); ++i)
search.projectPoint (mask.points[i], pp_2d[i]);
pcl::PointXY min_pt_2d, max_pt_2d;
min_pt_2d.x = min_pt_2d.y = std::numeric_limits<float>::max ();
max_pt_2d.x = max_pt_2d.y = std::numeric_limits<float>::min ();
// Search for the two extrema
for (size_t i = 0; i < pp_2d.size (); ++i)
{
if (pp_2d[i].x < min_pt_2d.x) min_pt_2d.x = pp_2d[i].x;
if (pp_2d[i].y < min_pt_2d.y) min_pt_2d.y = pp_2d[i].y;
if (pp_2d[i].x > max_pt_2d.x) max_pt_2d.x = pp_2d[i].x;
if (pp_2d[i].y > max_pt_2d.y) max_pt_2d.y = pp_2d[i].y;
}
#if ((VTK_MAJOR_VERSION == 5) && (VTK_MINOR_VERSION < 10))
min_pt_2d.y = float (image->height) - min_pt_2d.y;
max_pt_2d.y = float (image->height) - max_pt_2d.y;
#endif
vtkSmartPointer<context_items::Rectangle> rect = vtkSmartPointer<context_items::Rectangle>::New ();
rect->setColors (static_cast<unsigned char> (255.0 * r),
static_cast<unsigned char> (255.0 * g),
static_cast<unsigned char> (255.0 * b));
rect->setOpacity (opacity);
rect->set (min_pt_2d.x, min_pt_2d.y, (max_pt_2d.x - min_pt_2d.x), (max_pt_2d.y - min_pt_2d.y));
am_it->actor->GetScene ()->AddItem (rect);
return (true);
}示例3: return
template <typename T> bool
pcl::visualization::ImageViewer::addMask (
const typename pcl::PointCloud<T>::ConstPtr &image,
const pcl::PointCloud<T> &mask,
double r, double g, double b,
const std::string &layer_id, double opacity)
{
// We assume that the data passed into image is organized, otherwise this doesn't make sense
if (!image->isOrganized ())
return (false);
// Check to see if this ID entry already exists (has it been already added to the visualizer?)
LayerMap::iterator am_it = std::find_if (layer_map_.begin (), layer_map_.end (), LayerComparator (layer_id));
if (am_it == layer_map_.end ())
{
PCL_DEBUG ("[pcl::visualization::ImageViewer::addMask] No layer with ID'=%s' found. Creating new one...\n", layer_id.c_str ());
am_it = createLayer (layer_id, getSize ()[0] - 1, getSize ()[1] - 1, opacity, false);
}
// Construct a search object to get the camera parameters
pcl::search::OrganizedNeighbor<T> search;
search.setInputCloud (image);
std::vector<float> xy;
xy.reserve (mask.size () * 2);
for (size_t i = 0; i < mask.size (); ++i)
{
pcl::PointXY p_projected;
search.projectPoint (mask[i], p_projected);
xy.push_back (p_projected.x);
xy.push_back (static_cast<float> (image->height) - p_projected.y);
}
vtkSmartPointer<context_items::Points> points = vtkSmartPointer<context_items::Points>::New ();
points->setColors (static_cast<unsigned char> (r*255.0),
static_cast<unsigned char> (g*255.0),
static_cast<unsigned char> (b*255.0));
points->setOpacity (opacity);
points->set (xy);
am_it->actor->GetScene ()->AddItem (points);
return (true);
}